MC Project

The Black Friday trap: Despite a boost in traffic, unprepared stores sell less than usual

support@mycoding.id (Gediminas G) — Mon, 19 Oct 2026 08:45:15 +0700

Monday October 19, 2026

Gediminas G.

Getting additional location traffic to your online shop during Black Friday is not necessarily the difficult part. Turning that notice into revenue is.

Hostinger’s inspection of almost 50,000 ecommerce stores shows that stores making no Black Friday preparations, specified as merchandise updates, discounts, coupons, or payment-method adjustments, received a traffic lift but motionless misplaced orders and revenue on average. They were additionally additional susceptible to steep drops, alongside fractional seeing orders autumn by additional than 20%.

Stores that made at smallest one specified change, by contrast, were improved capable to rotate the additional notice into orders and sales, alongside the foremost collection expanding orders and revenue value by additional than a third.

Key data (November 2025 versus the August–October average):

Unprepared stores saw traffic increase 5.8%, during orders cut 3.5% and total revenue value dropped 6.2%.
Prepared stores’ orders risen by about 16% and revenue value by nearly 23%.
Half of unprepared stores saw orders autumn by additional than 20%, compared alongside lone 22–27% of prepared stores.
Stores that prepared 8–21 days onward saw the strongest related growth, alongside traffic expanding by 13.2%, orders jumping by 34.2%, and total revenue value by 36.7%.
Prepared stores stayed complete their former revenue baseline through January, during unprepared stores remained below it.

More traffic ≠ additional sales

Black Friday brought additional website action equal to stores that did not prepare, but that additional traffic did not continually translate into additional orders.

All three preparedness groups studied saw the two traffic and orders addition in November. The no-action collection was the exception: traffic rosy 5.8%, during orders cut 3.5% and total revenue value dropped 6.2%.

The strongest difference came from stores that prepared 8–21 days before Black Friday. Their traffic risen 13.2%, but orders grew much faster, by 34.2%, during revenue value rosy 36.7%.

The data does not measure a traditional ecommerce conversion rate, since traffic is according to HTTP requests fairly than buying sessions. Still, it shows a apparent gap: more traffic solitary was not adequate to create additional sales.

Preparation helped stores evade steep command declines

Average growth can conceal what happened to idiosyncratic stores. The allocation of results gives a clearer picture.

Half of stores that took no preparedness act saw their November orders autumn by additional than 20%. Among stores that prepared, lone 22–27% informed a decrease that large.

At the identical time, additional than fractional of stores preparing 8–21 days or 1–7 days onward risen their orders by at smallest 20%, compared alongside lone 30% of unprepared stores. Among those preparing 22–35 days ahead, 43% saw growth of at smallest 20%.

So during preparedness did not necessarily justify a prosperous Black Friday, prepared stores were far small apt to see a particularly bad one.

Prepared stores kept orders higher throughout the holiday season

The holiday buying period apt kept traffic elevated following Black Friday. In December, traffic to prepared stores was concerning 31% above the August–October baseline and remained 24% above it in January. Unprepared stores additionally continued to see additional traffic, at approximately 18% complete baseline in December and 15% in January.

But the revenue gap persisted. Prepared stores stayed 13.7% above their command baseline in December and 3.3% above it in January. Unprepared stores remained below baseline in the two months, at -3.0% in December and -8.8% in January.

In short, traffic stayed elevated for the two groups, but only prepared stores continued to rotate it into additional orders.

The form differed by market

Preparation did not have exactly the identical consequence everywhere. However, prepared stores outperformed their local no-action groups in most of the markets analyzed.

The earth traffic trap was particularly apparent in Spain, anywhere unprepared stores received additional traffic but motionless sold small orders.

Brazil showed the sharpest revenue divide: prepared stores risen orders by 18.5%, during unprepared stores cut 19.4%. France showed a similar, although small extreme, split.

Lithuania, Hostinger’s residence market, was the chief affirmative elimination for unprepared stores. Their orders motionless grew slightly, but prepared stores risen orders by nearly 45%.

India’s Black Friday results were additional muted, alongside average orders declining slightly despite of preparation. However, the traffic trap was additional pronounced about Diwali, India’s important festive buying season: unprepared stores saw traffic increase 7.4%, during orders cut 13.1%. More than fractional saw orders autumn by complete 20%.

Black Friday traffic is lone precious if stores are prepared for it

Black Friday should not be treated as a one-day traffic event. It is a test of whether an online shop is prepared to grip a abrupt increase in purchasing intent and rotate it into sustained business.

The data points to a apparent divide: prepared stores were not lone additional apt to develop during Black Friday – they were additionally small apt to endure a keen decrease and were motionless outperforming their before revenue baseline months later.

For merchants, that makes preparedness small concerning chasing a impermanent spike and additional concerning being prepared to capitalize whenever petition increases. Otherwise, the traffic comes, but the revenue don’t.

Methodology

The inspection covers 49,318 Hostinger ecommerce stores that met predefined criteria, including minimum annual revenue and shop action throughout the year. Stores were grouped according to their earliest Black Friday 2025 preparedness action: 22–35 days before, 8–21 days before, 1–7 days before, or no action. November orders, total revenue value (gross goods value, or GMV), and traffic were compared alongside the August–October baseline. “Prepared” method the shop took at smallest one defined preparedness action: merchandise updates, discount or coupon activity, and payment-method changes. In the sample, 25.8% of stores took a preparedness action, during 36,580 did not. Journalists can petition additional data at press@hostinger.com.

Gediminas is a communications expert passionate concerning technologies and their possibilities. His chief duty is to assistance group comprehend Hostinger products and their features. He likes spending his liberated period bathing in the hot tub, grilling, playing poker, fishing, and another activities.

Linux 7.3 Released

support@mycoding.id (Mira Azkia) — Mon, 19 Oct 2026 08:23:57 +0700

[Posted October 18, 2026 by corbet]

Linus Torvalds has released the 7.3 kernel, as expected.

It's Sunday afternoon, and this week I somehow kept my wits together lengthy adequate to keep track of the day of the week, so the release isn't randomly delayed. Will wonders never cease?
Anyway, nothing extremely particular seems to have happened this final week, so as expected the final 7.3 is out, and thus tomorrow the merge window for 7.4 opens. Except I'm on my annual family vacation, so instead of merging item archetypal item in the morning, I'll spend most of the day on a container and under water. I'll get rear to merging in the afternoon, but I anticipate my agenda to be a bit different for a while.

This publish is a record-breaker on all fronts; it brought in 18,765 non-merge commits from 3,021 developers, 807 of whom were first-time kernel developers.

Significant changes in this publish contain several significant binfmt_misc extensions, several group-scheduling work aimed at improving achievement on ample systems, the new failfs filesystem that fails all operations, the fchroot() scheme call, global per-CPU data for BPF programs, the completion of the sched_ext subscheduler feature, working-set tracking for virtual machines, alternative data-stream support in the ntfs3 filesystem, a long list of SMB server improvements, and much more. See the LWN merge-window summaries (part 1, part 2) and the KernelNewbies 7.3 page for details.

The LWN location is currently under elevated scraper load, so comment display has been suppressed for anonymous users. If you are a human, you may peruse the comments by clicking the clasp below:

Note: you can evade this stage in the forthcoming by logging into your LWN account.

Rainmaker: Intern Brand and Marketing Strategy Interview Guide

support@mycoding.id (Board Infinity) — Mon, 19 Oct 2026 08:00:24 +0700

The Intern Brand and Marketing Strategy function at Rainmaker helps rotate compliance themes specified as Prevention of Sexual Harassment, Diversity Equity Inclusion and Belonging, data privacy and anti-bribery into keen B2B promotion assets. The activity matters since endeavor buyers need clarity, credibility and urgency before they affect alongside compliance learning solutions.

This guide is for MBA, master’s, undergraduate and latest alumnus candidates preparing for Rainmaker interviews. It covers the role, required skills, applicable responsibilities, discussion rounds, inquiry banks, concentration areas and a four-week preparedness plan. For neighboring brand practice, assessment this marketing and brand communications intern discussion guide.

1. About the Intern Brand and Marketing Strategy Role

This function supports Rainmaker promotion by converting compact B2B topics into copy, run ideas, spectators notes and achievement reports. The intern helps decide which communication angle, satisfied format or outreach sequence can create compliance applicable for elder endeavor decision-makers.

Day-to-day activity sits alongside the promotion squad and connects alongside content, petition generation and guidance inputs. The function requires comfort alongside endeavor buyers specified as Chief Human Resources Officers, Chief Legal Officers and compliance heads, since the messaging must regard the two lawful seriousness and learning engagement.

2. Required Skills and Qualifications

Educational Qualifications

Skills Overview

3. Day-to-Day Responsibilities

A representative week can contain example run copy, using Artificial Intelligence tools for research, turning guidance inputs into idea guidance resources and reporting what is operating throughout channels. The intern is expected to contribute to live promotion work, not lone detect meetings.

Build Campaign Content

You may obtain a broad idea, specified as making data privacy training additional applicable to guidance teams, and rotate it into usable run pieces. This can contain penning abbreviated hooks, article drafts, email topic lines and communication variants that the squad can test alongside endeavor audiences.

Run Marketing Tests

You assistance set up small experiments about communication angles, satisfied formats or spectators segments. The applicable activity is to difference whether a risk-led, people-led or leadership-led viewpoint gets improved engagement, afterward document what the squad should keep, halt or change.

Use AI Workflows

You use generative Artificial Intelligence to speed up research, outline satisfied and create first-draft copy options. Strong candidates display that they can immediate clearly, verify outputs, eliminate vague tongue and form Artificial Intelligence drafts into exact B2B communication.

Write for Buyers

You outline and tailor copy for Chief Human Resources Officers, Chief Legal Officers and compliance heads. This method changing the tongue according to what all spectators cares about, specified as workforce safety, lawful exposure, audit readiness, employee rely or guidance accountability.

Research Audiences

You assistance alongside market investigation and spectators catalog construction using approved tools and apparent criteria. The activity can contain identifying applicable roles, segmenting accounts, noting buyer ache points and preparing organized inputs that assistance the squad prioritise outreach.

Shape Thought Leadership

You assistance rotate regulatory trends, client wins and originator perspectives into LinkedIn posts, part ideas and run sequences. The difficulty is to keep the satisfied sharp, helpful and dependable during avoiding bare inspiration or lawful overstatement.

Report Channel Metrics

You track involvement throughout email, LinkedIn, web and Google Ads, afterward summarise what the numbers suggest. Useful reporting does not halt at pasting metrics. It explains which satisfied moved people, which communication underperformed and what the next test should examine.

4. Key Competencies for Success

Top candidates display that they can regard grave compliance topics during motionless making them engaging for occupied endeavor leaders. The strongest discussion answers merge endeavor logic, penning judgement, data awareness and the humility to enhance activity according to feedback.

5. Interview Process at Rainmaker

Prepare for a compact promotion internship choice procedure that tests communication, clarity of thought, penning ability, run thinking and comfort alongside Artificial Intelligence assisted workflows. Expect the conversation to remain near to B2B growth activity fairly than generic brand theory.

Application Screening

The archetypal display checks learning fit, penning exposure, promotion involvement and any previous visibility to SaaS, consulting, B2B technology, digital promotion or agency environments. Your resume should create writing, research, run projects and measurable outcomes uncomplicated to find.

Writing Task

You may be asked to compose or enhance a LinkedIn post, email sequence, part outline or run viewpoint for an endeavor compliance topic. The appraisal looks for spectators fit, keen positioning, spotless structure, powerful headlines and liable handling of lawful or culture-sensitive themes.

Marketing Discussion

This circular explores how you think concerning B2B buyers, run tests, satisfied formats and metrics. Be prepared to explain how you would create petition from a complex topic, not fair how you would create a article appearance attractive.

Final Fit Conversation

The final conversation normally checks ownership, learning speed, involvement in compliance learning, comfort alongside feedback and capability to activity on live tasks. Keep answers specific, since vague enthusiasm is weaker than one apparent example of accelerated learning and powerful delivery.

Candidates frequently battle whenever they treat Rainmaker as a generic brand internship and disregard the seriousness of compliance buyers. Show that you can create complex topics engaging without diluting accuracy, sensitivity or endeavor relevance.

6. Interview Questions

Use STAR for behavioural answers, MECE for run and case answers, and a uncomplicated metric tree for analytics questions. Rainmaker interviewers volition value clarity, buyer understanding, penning judgement and the capability to study from tests.

Behavioral and Company-Fit Questions

Role-Specific Marketing Questions

Product and Market Case Questions

7. Topics and Areas of Focus

Preparation should centre on B2B messaging, compliance buyer psychology, Artificial Intelligence assisted workflows and achievement measurement. The discussion is apt to test whether you can create usable promotion thinking from complex topic matter.

8. Preparation Plan

Freshers should concentration on apparent frameworks, example penning and organized thinking. Experienced candidates should prepared 3-5 effect stories showing run contribution, penning improvement, Artificial Intelligence assisted workflows or measurable conduit learning.

Week 1

Understand Rainmaker

Map the role, buyers, themes and example messaging angles.

Week 2

Build Core Skills

Practise B2B copy, spectators investigation and Artificial Intelligence prompting.

Week 3

Answer and Case Practice

Prepare STAR stories, run cases and metric explanations.

Week 4

Mock and Polish

Refine penning samples, imitate answers and final discussion structure.

If you desire one additional neighboring custom set, use this Brand Manager Intern discussion guide to difference how brand thinking changes whenever the function is small compliance-led.

Pre-Interview Checklist

9. Career Growth and Next Roles

This internship can build a basis for B2B content, growth marketing, brand scheme or merchandise promotion roles. Progression depends on the capability to create dependable work, comprehend endeavor buyers, construe run data and contribute ideas that can be tested in market.

Intern Brand and Marketing Strategy

At this stage, you assistance run copy, research, Artificial Intelligence assisted workflows, idea guidance drafts and reporting. To move up, demonstrate that you can obtain feedback, present spotless work, comprehend buyer environment and explain why a promotion asset should work.

Marketing Associate

The next stage normally involves owning defined pieces of campaigns, specified as satisfied calendars, email sequences, spectators investigation or weekly achievement dashboards. You must display that your activity reduces director attempt and improves the norm of run decisions.

Content or Growth Marketer

At this stage, you may own campaigns throughout particular channels or buyer segments. The evidence required is stronger: sharper positioning, accordant output, comfort alongside metrics and an capability to propose what the squad should test next.

Specialist or Team Lead

Beyond first promotion roles, growth can divided into a profound expert way in content, petition generation or merchandise marketing, or a coordination way managing campaigns and younger contributors. The differentiator is the capability to nexus strategy, implementation and measurable learning.

10. Conclusion

The most crucial preparedness stage is to demonstrate that you can rotate complex compliance themes into precise, dependable and engaging B2B promotion communication. Bring example writing, explain your thinking and display that you comprehend why elder endeavor buyers react to clarity, relevance and trust.

Before the interview, practise one run case, one Artificial Intelligence workflow clarification and one metrics explanation all day. Prepare examples that display speed, analytical thinking, copy norm and feedback maturity, since this function rewards candidates who can contribute to live promotion activity quickly.

Create a one-page Rainmaker discussion portfolio today: three example posts, one email sequence idea, one Artificial Intelligence immediate workflow and one weekly metrics report.

Top Tips for Interview Success

Rainmaker: Company and Careers Interview Guide

support@mycoding.id (Board Infinity) — Mon, 19 Oct 2026 08:00:22 +0700

Rainmaker is an Indian legal-technology and compliance-learning business focused on assisting organisations train workforce on office law, ethics and liable conduct. It sits at the intersection of company compliance, digital learning, lawful learning and human-resources enablement. For candidates, Rainmaker matters since its activity is not lone concerning producing courses; it requires lawful accuracy, instructional design, innovation delivery, client administration and sensitivity to office culture. The company’s offerings are used by employers that need applicable training on issues specified as intimate harassment prevention, ethical behaviour, anti-corruption, privacy awareness and inclusive workplaces. That makes it a helpful director to study if you are applying for roles in content, learning design, client success, lawful operations, sales, merchandise assistance or compliance consulting. Interviewers are apt to value candidates who can nexus law, learner behavior and endeavor hazard in a simple, usable way.

This guide covers anywhere Rainmaker came from, who runs it today, and the services it is known for.

1. Company Overview

About Rainmaker

Rainmaker, formally connected alongside Rainmaker Online Training Solutions, plant in online lawful and compliance learning, alongside a powerful concentration on office behavior and company ethics. Its authoritative website positions the business about compliance training and technology-enabled learning for organisations (Rainmaker). That makes it a helpful case study for candidates since the endeavor depends on translating grave lawful and behavior topics into courses that workforce can really understand, complete and use at work.

Company History

Rainmaker’s former is helpful in interviews since it shows a change from lawful endowment and learning into scalable digital compliance learning. Candidates should notice the operating-model change: the business moved from legal-domain ability into products and training systems that assistance employers run mandatory and culture-building programmes throughout distributed workforces.

1999 Founding

Antony Alex founded Rainmaker in Mumbai as a legal-sector project focused on recruitment, training and expert betterment for the Indian lawful market.

2000s Expansion

The business broadened from lawful recruitment into lawful training, giving it a basis of legal-content ability that afterward supported compliance-learning products.

2011 Digital learning

Rainmaker launched myLaw as an online legal-education platform, marking a move from classroom-style lawful learning toward digital lawful satisfied (myLaw).

2013 Compliance shift

As Indian employers focused additional closely on office sexual-harassment safety and employee sensitisation, Rainmaker’s legal-learning backdrop became applicable to company compliance training.

Mid-2010s Corporate learning

The business increasingly served organisations through e-learning modules on office conduct, ethics and lawful compliance fairly than lone legal-professional education.

Late-2010s Product maturity

Rainmaker built a stronger company compliance-learning identity, alongside offerings spanning POSH, anti-corruption, privacy, ethics and office behavior themes.

2020s Modernisation

The endeavor continues to run as a digital compliance-learning provider, applicable to employers managing hybrid teams, distributed workforces and recurring employee-training obligations.

2. Mission, Vision & Values

Mission

Rainmaker’s authoritative website uses proposition-led copy about ethics, compliance learning and safer workplaces in location of a separately labelled goal statement; in interviews, treat those themes as the functioning intent fairly than quoting a ceremonial mission.

Vision

Rainmaker’s authoritative website expresses direction through technology-enabled compliance learning and workplace-risk safety fairly than a separately labelled imagination statement; use this to conversation scalable training, employee awareness and applicable behavior change.

Core Values

For values-based discussion preparation, build stories about the behaviours Rainmaker’s activity plainly demands: lawful accuracy, ethical judgement, learner empathy, confidentiality, client responsiveness and operational discipline.

Prepare examples against these behaviours as evidence, not as a quoted company-values list: display how you handled delicate content, simplified complex rules, protected confidentiality or improved completion and understanding in a learning programme.

3. Products and Services

Rainmaker’s offering is finest understood as compliance learning for organisations: it converts lawful and ethical obligations into online training that workforce can complete and managers can track. This makes the business applicable for candidates in lawful content, instructional design, HR learning, endeavor sales, client success, merchandise operations and compliance program management.

POSH and office sexual-harassment safety training covers employee awareness, director responsibilities, respectful conduct, grievance handling basics and Internal Committee sensitisation for organisations that need organized workplace-safety learning.
Code of behavior and office ethics training explains expected employee behavior through topics specified as conflicts of interest, respectful communication, liable use of business resources and escalation of misconduct concerns.
Anti-bribery and anti-corruption learning helps workforce comprehend gifts, hospitality, facilitation-payment risks, third-party dealings, procurement behavior and the difference between satisfactory endeavor courtesy and improper influence.
Data privacy and information-security awareness focuses on applicable handling of individual information, confidential endeavor data, passwords, phishing risks, equipment hygiene and liable sharing of delicate records.
Diversity, equity and inclusion learning supports employee sensitisation on inclusive language, unconscious bias, dignity at work, accessibility, squad behavior and the mundane decisions that form office culture.
Custom compliance e-learning and satisfied development involves adapting lawful and guideline topics into organisation-specific modules, scenarios, assessments, explainer videos and learning journeys aligned to the client’s policies.
Training deployment and reporting support helps organisations rotate out courses, detect completion, assistance reminders and document involvement so HR and compliance teams can oversee recurring employee-training requirements.

4. Key Competitors of Rainmaker

Rainmaker competes in the company compliance-learning and office behavior training market, particularly for HR, legal, compliance and L&D teams purchasing POSH, ethics, anti-bribery, code-of-conduct and policy-awareness programmes. Competition normally runs on lawful accuracy, learner experience, completion tracking, customisation, multilingual delivery, coordinator norm and audit-ready records fairly than business size alone.

KelpHR

WORKPLACE COMPLIANCE, POSH ADVISORY AND TRAINING

Competes on: POSH training, external commission support, office investigations and HR-compliance advisory for Indian employers.

Position: Strong anywhere a buyer wants practitioner-led POSH assistance alongside alongside training, not lone a digital learning module.

Ungender

WORKPLACE EQUITY, POSH AND DEI COMPLIANCE PLATFORM

Competes on: POSH compliance, DEI learning, guideline support, audits and office civilization interventions for organisations.

Position: Strong whenever the buyer frames compliance as part of inclusion, sex equity and civilization transformation.

Complykaro

COMPLIANCE TRAINING AND CORPORATE E-LEARNING

Competes on: online compliance courses, POSH training, anti-bribery awareness, code-of-conduct learning and company guideline education.

Position: Strong for companies looking for ready-to-deploy compliance modules throughout multiple regulatory and office behavior topics.

Traliant

ONLINE COMPLIANCE AND WORKPLACE TRAINING

Competes on: digital harassment prevention, ethics, code-of-conduct, cybersecurity and office compliance training for endeavor teams.

Position: Strong for multinational employers comparing earth compliance-learning libraries and contemporary online way experience.

In an interview, construction a competitive-analysis answer by comparing Rainmaker against rivals on client segment, compliance depth, shipment model, reporting quality, customisation and implementation support; do not decrease the answer to which brand is larger.

Rainmaker’s endeavor sits near to CSR themes since it plant in compliance learning, office behavior and ethical decision-making, areas that immediately power employee dignity and organisational trust. In interviews, example CSR through the company’s center domain fairly than naming a program casually; verify the latest business communication before referring to any particular initiative.

⚖️

Workplace dignity

A CSR-adjacent theme for this endeavor is assisting group comprehend respectful conduct, anti-harassment norms and harmless office behaviour.

📚

Compliance literacy

Rainmaker’s learning-first example naturally connects alongside wider awareness on ethics, guideline understanding and liable organisational conduct.

💻

Digital learning access

Because its activity is delivered through learning satisfied and platforms, a applicable effect lens is making complex office rules easier to comprehend at scale.

💬

Speak-up culture

A plausible theme is encouraging workforce and managers to lift concerns responsibly, particularly in areas involving ethics and office misconduct.

6. Interview Process & Selection Rounds

Rainmaker hiring is finest prepared as a function-led process: content, legal, product, revenue and operations roles are assessed through distinct activity samples and stakeholder discussions. Senior roles normally visage deeper judgement, ownership and client-handling evaluation, during early-career roles are additional apt to be tested on clarity, learning capability and implementation discipline. Location and squad need can alter the figure of conversations, so prepared for the two a skills display and a culture-fit discussion.

Application screening

The squad checks function fit, communication norm and applicable experience. Content and lawful applicants are screened for penning or topic exposure, merchandise applicants for phase or engineering evidence, and revenue or client roles for association and business-facing experience.

Recruiter or HR conversation

This circular assesses motivation, availability, occupation goals and essential understanding of Rainmaker’s compliance-learning space. For fresher roles, the concentration is learning intent and communication; for informed roles, it includes notice period, compensation alignment and reasons for switching.

Functional discussion or activity sample

This is the most role-specific stage. Legal and satisfied candidates may write, simplify or assessment compliance material; instructional scheme candidates may construction a learning module; merchandise and tech candidates may conversation systems, workflows or problem-solving; revenue candidates may grip a client scenario.

Hiring director discussion

The hiring director evaluates ownership, judgement, collaboration and how you would execute in the genuine team. Senior candidates should anticipate questions on stakeholder management, prioritisation and ambiguity, during younger candidates have to be prepared to explain how they obtain feedback and encounter norm standards.

Final fit, recommendation and joining alignment

The final phase normally confirms values fit, function expectations, joining timelines and applicable details. Client-facing roles may be assessed additional closely for maturity and trust-building, during shipment and operations roles may be checked for reliability, coordination and procedure discipline.

7. Common Interview Questions Across Roles

These questions can arrive up for any Rainmaker candidate, during role-specific legal, content, sales, merchandise or operations questions pertain in that role’s own preparedness guide.

General & Company-Fit Questions

8. Required Skills & Tools

Required skills at Rainmaker are not one generic checklist; they change by occupation route, and the array below maps to the identical routes used in the Career Opportunities section.

9. Career Opportunities at Rainmaker

Careers at Rainmaker are normally organised by path fairly than by one fixed ladder, since legal-learning, workplace-compliance, client shipment and phase activity need distinct accomplishment mixes. A applicant should acknowledge the path that fits their strongest evidence, afterward prepared examples that display domain depth, ownership and measurable improvement.

Legal & Compliance Content

This path suits candidates who can translate laws, policies and workplace-risk scenarios into apparent learning matter for workforce and managers; applicable job titles contain Legal Content Writer, Compliance Content Specialist, Legal Researcher and Subject Matter Expert. Promotion signal: consistently producing accurate, applicable satisfied that needs minimal lawful rework and improves learner understanding.

Instructional Design & Learning Experience

This path focuses on converting compliance topics into organized courses, scripts, assessments, scenarios and learner journeys; applicable job titles contain Instructional Designer, Learning Experience Designer, Content Developer and Assessment Designer. Promotion signal: construction modules that are legally sound, uncomplicated to complete and visibly improved in completion norm or learner feedback.

Business Development & Enterprise Sales

This path is for candidates who can market workplace-compliance and learning solutions to HR, legal, compliance and guidance teams; applicable job titles contain Business Development Executive, Sales Executive, Business Development Manager, Enterprise Sales Manager and Account Manager. Promotion signal: construction a fit pipeline, converting qualified opportunities and expanding accounts through consultative selling.

Client Success & Implementation

This path covers onboarding, rollout support, stakeholder coordination, use follow-up and matter resolution for client organisations; applicable job titles contain Client Success Executive, Customer Success Manager, Implementation Executive, Client Relationship Manager and Program Coordinator. Promotion signal: operating gentle rollouts, reducing escalations and becoming trusted by client HR or compliance teams.

Product, Technology & QA

This path supports the learning platform, person workflows, reporting, integrations, evaluation and specialized reliability; applicable job titles contain Software Developer, Front-End Developer, Back-End Developer, QA Engineer, Product Associate and Product Manager. Promotion signal: shipping dependable improvements that decrease person friction, forestall defects and create reporting or administration easier.

Creative Production & Operations

This path brings courses and campaigns to existence through ocular design, video, coordination, publishing checks and shipment operations; applicable job titles contain Graphic Designer, Video Editor, Motion Graphics Designer, Operations Executive, Project Coordinator and Production Associate. Promotion signal: delivering polished resources on period during improving repeatable workflows for forthcoming way launches.

10. Future Outlook and Strategic Plan

Rainmaker’s direction builds on the milestones covered earlier: its development from lawful and compliance learning into office culture, ethics and digital training products. For candidates, the strongest conversations nexus Rainmaker’s former alongside how organisations now anticipate compliance learning to be practical, trackable and behaviour-focused.

Compliance learning alongside endeavor context

Be prepared to explain how lawful topics rotate into usable training for employees, managers and HR teams, fairly than remaining guideline documents that group rarely revisit.

Workplace safety and respectful culture

Prepare to conversation delicate office themes alongside clarity, particularly how training should defend employees, assistance managers and assistance organisations react responsibly.

Digital shipment and learner adoption

Candidates have to be capable to conversation concerning completion rates, learner reminders, mobile access, tongue clarity and why endeavor training succeeds lone whenever workforce really complete and comprehend it.

Enterprise client problem-solving

For client-facing roles, prepared examples of diagnosing a customer’s compliance need, mapping stakeholders, handling rollout objections and turning feedback into repeatable solutions.

Differentiation in a crowded learning market

Be prepared to difference Rainmaker’s compliance-led positioning alongside broader HR tech, learning phase and legal-service alternatives without reducing the conversation to cost alone.

11. Conclusion

Rainmaker sits in a specialised part of the learning market anywhere lawful knowledge, office behavior and endeavor training shipment meet. Its direction depends on how fine it keeps compliance learning applicable for workforce and helpful for HR, lawful and guidance teams. Someone joining Rainmaker should anticipate activity that combines satisfied judgement, client empathy and operational discipline. The finest discussion preparedness is to nexus Rainmaker’s timeline, values and merchandise concentration alongside examples of how you would enhance adoption, clarity and rely in office learning.

Marketing Intern SynVesCo Ventures Interview Guide

support@mycoding.id (Board Infinity) — Mon, 19 Oct 2026 07:56:44 +0700

SynVesCo Ventures: Marketing Intern Interview Guide

The Marketing Intern function at SynVesCo Ventures sits near to early-stage endeavor building. You may activity on market research, growth experiments, merchandise inputs, revenue insights and founder-facing issue solving for ventures being built from 0 to 1.

This guide is built for students preparing for evidence or summer internship interviews. It covers function scope, required traits, day-to-day work, discussion rounds, role-specific questions, case preparation, a 4-week scheme and apparent next steps.

1. About the Marketing Intern Role

This function is not constricted to making social posts or supporting regular campaigns. At SynVesCo Ventures, promotion activity connects immediately alongside market discovery, client understanding and first growth for new businesses in unstructured sectors.

You should anticipate originator exposure, accelerated feedback and changing priorities. A powerful intern volition change ambiguity into helpful work, specified as a market note, a growth experiment, a client understanding summary or a merchandise issue breakdown.

2. Required Skills and Qualifications

Educational Qualifications

Skills Overview

3. Day-to-Day Responsibilities

A representative week can move throughout research, promotion experiments, merchandise conversations and originator reviews. The average thread is turning unclear endeavor questions into usable analysis, act and learning.

Marketing Experiments

You may scheme small growth tests for a new venture, specified as defining the mark audience, penning the message, choosing the conduit and deciding what outcome proves progress. The activity is practical, not theoretical. A fine output explains what was tested, what changed and what the next test should be.

Sales Insight Support

Sales visibility method understanding what buyers, partners or users attention concerning before they clasp a new solution. You may assistance organise feedback from conversations, acknowledge repeated objections and change them into sharper messaging or merchandise questions. This helps the squad evade marketing a resolution before the ache item is clear.

Research and Analytics

You may investigation a new market, difference existing solutions, evaluation person segments or summarise patterns from essential data. The anticipation is not advanced modelling. The anticipation is spotless thinking, dependable sources, careful assumptions and a apparent decision that helps a originator or endeavor chief decide what to do next.

Business Growth Work

Growth activity can contain finding anywhere first petition may arrive from, identifying which client section is easiest to validate archetypal and tracking whether an test is moving the correct metric. You have to be prepared to explain why a growth idea deserves evaluation and what evidence would create you stop, continue or alter it.

Product Problem Solving

Product betterment visibility method assisting the squad comprehend what the merchandise should solve, who it solves for and anywhere the current idea may fail. You may change person ache points into a uncomplicated issue statement, assessment merchandise flows or nexus promotion feedback alongside merchandise priorities before the squad invests deeper effort.

Operations and Strategy

Operations and scheme activity may affect mapping a messy process, identifying bottlenecks and suggesting a uncomplicated way to execute faster. For example, you may difference two outreach workflows or organise inputs before a initiate decision. Strong interns create the next stage apparent alternatively of producing broad recommendations.

Founder Office Support

Founder agency visibility method preparing apparent notes, options and follow-ups for decisions that cut throughout teams. You may summarise a market opportunity, difference strategic choices or track an undertaking following a originator review. The norm is clarity, speed and accountability, since the activity influences genuine endeavor priorities.

4. Key Competencies for Success

SynVesCo Ventures evaluates candidates on how they think, decide, execute and improve. The strongest candidates display that they can obtain an unclear problem, create a helpful structure, act quickly and communicate what they learned.

5. Interview Process at SynVesCo Ventures

For a venture-building internship, prepared for a procedure that tests possible additional than a fixed resume checklist. Expect evaluation about issue clarity, implementation mindset, market thinking, communication and whether you can activity closely alongside founders in an ambiguous setting.

Application and overview screen

The archetypal display checks whether your overview shows ownership, initiative, scholarly seriousness and evidence of doing genuine work. Projects, university initiatives, internships, competitions and entrepreneurial attempts can all assistance if you can explain your contribution clearly.

Business issue discussion

You may be stated a market, growth or merchandise issue and asked how you would method it. The interviewer looks for structure, assumptions, person concentration and the capability to move from inspection to a small experiment.

Role and domain conversation

This circular tests your understanding of marketing, sales, research, growth, merchandise and operations exposure. You have to be capable to explain how these functions nexus whenever a business is being built from 0 to 1.

Founder or guidance round

This conversation normally goes deeper into how you think, obtain duty and grip uncertainty. Expect follow-up questions on your examples, choices, failures, speed of implementation and motivation for construction from scratch.

Final fit and anticipation check

The final conversation checks whether you are comfortable alongside fast-changing work, straightforward feedback and responsibilities assigned according to strengths and business priorities. Be prepared to conversation preferred domains and anywhere you can create value quickly.

Candidates frequently endure dirt whenever they provision polished but shallow answers. For this role, vague involvement in startups is weaker than a organized example showing ownership, judgement and implementation under ambiguity.

6. Interview Questions

Use STAR for behavioural answers, MECE for issue breakdowns and metric-first thinking for promotion or growth cases. SynVesCo Ventures interviewers volition apt prioritise clarity, judgment, ownership and whether your answer can rotate into action.

Behavioral and Company-Fit Questions

Role-Specific Marketing, Growth and Research Questions

Product and Market Case Questions

7. Topics and Areas of Focus

Prepare for applicable endeavor judgment, not textbook promotion alone. Your preparedness should assistance you conversation unstructured markets, first users, growth experiments, originator communication and cross-functional implementation alongside examples.

8. Preparation Plan

Freshers: concentration on conceptual degree and organized answer frameworks specified as STAR and MECE. Experienced candidates: prepared 3-5 particular effect stories from former roles, since SynVesCo Ventures volition investigation for measurable outcomes and ownership, not fair responsibilities.

Week 1

Company and Role

Understand the project studio example and map the function to genuine activity outputs.

Week 2

Core Skills

Practise research, growth experiments, client finding and promotion metrics.

Week 3

Interview Stories

Build STAR answers about ownership, judgment, implementation and adaptability.

Week 4

Mock and Refine

Run mocks, fix feeble answers and sharpen case communication.

Pre-Interview Checklist

9. Career Growth & Next Roles

A powerful Marketing Intern can build toward growth, marketing, originator office, merchandise or scheme roles depending on achievement and interests. Progression volition depend on ownership of genuine initiatives, norm of thinking, implementation speed and contribution to endeavor outcomes.

Marketing Intern

At this stage, you demonstrate that you can activity on genuine endeavor problems, study quickly and obtain responsibility. You may contribute to market research, growth experiments, person insights, merchandise discussions and originator updates. The chief goal is to display clarity of idea and dependable execution.

Growth or Marketing Associate

After construction powerful fundamentals, the next stage is owning defined experiments, segments or campaigns alongside measurable outcomes. You would be expected to comprehend users, enhance messaging, coordinate alongside merchandise or operations and study what worked. To move up, demonstrate that your activity improves learning or adoption.

Growth Manager or Strategy Lead

At this level, you move from executing tests to owning larger endeavor levers. You may decide which section to prioritise, which channels to measure and how promotion insights should power merchandise direction. The promotion indication is audio judgment, repeatable implementation and the capability to create endeavor effect through teams.

Founder Office or Venture Leadership Track

Beyond the first growth path, you may specialise deeply in growth or move toward originator agency and venture-building leadership. The people-management path requires cross-functional alignment and squad ownership. The expert path requires sharper market, merchandise and growth judgement that founders can rely for high-stakes decisions.

10. Conclusion

The most crucial preparedness stage is to demonstrate that you can think plainly under ambiguity. SynVesCo Ventures is looking for candidates who can obtain ownership, interrupt downward unclear problems, act quickly and study from feedback without needing changeless direction.

Before the interview, prepared one market note, two growth experiments and 3-5 STAR stories connected to the evaluation areas. Practise explaining your activity in founder-friendly language: decision first, evidence next, afterward conclusion and next step.

Create a 2-page prep panel today alongside your strongest ownership story, one agriculture selling market insight, one AI social growth test and a 2-minute answer for why SynVesCo Ventures.

Top Tips for Interview Success

SynVesCo Ventures: Sales Intern Interview Guide

support@mycoding.id (Board Infinity) — Mon, 19 Oct 2026 07:56:40 +0700

A Sales Intern at SynVesCo Ventures is expected to activity near to the business-building engine, not fair assistance a narrow revenue desk. The function matters since first revenue inputs can form market research, growth experiments, merchandise feedback, and founder-level decisions for ventures being built from scratch.

This guide is for students preparing for a Sales Intern discussion at SynVesCo Ventures through evidence placements or straightforward applications. It covers the role, required skills, responsibilities, discussion rounds, role-specific questions, preparedness areas, and a focused 4-week plan.

1. About the Sales Intern Role

The Sales Intern function is built for candidates who can rotate ambiguous endeavor problems into apparent action. You may assistance comprehend a market, test a revenue approach, assistance growth work, or bring customer-facing feedback into merchandise and scheme discussions.

You have to be comfortable operating alongside founders, endeavor leaders, and cross-functional teams. The function sits in a venture-building surroundings anywhere revenue activity can nexus alongside marketing, research, analytics, merchandise development, operations, strategy, and founder-office projects.

2. Required Skills and Qualifications

Skills Overview

3. Day-to-Day Responsibilities

A representative week can move throughout sales, market learning, originator reviews, and execution-heavy projects. The strongest interns display that they can activity in one domain during understanding how it affects the wider venture.

Marketing Support

You may assistance run ideas by assisting define the audience, message, and conduit for an first venture. In practice, this could average comparing client segments, noting which value propositions resonate, and aligning promotion inputs alongside what the revenue or merchandise squad is learning from the market.

Sales Execution

You may activity on revenue tasks specified as identifying prospects, preparing conversation notes, capturing objections, and summarising what customers attention about. The accent is on learning from genuine conversations and converting those learnings into cleaner pitches, sharper follow-ups, and improved endeavor decisions.

Research and Analytics

You may investigation new markets, organise findings, and change scattered data into helpful patterns. This can contain comparing client segments, mapping market gaps, studying unstructured industries, and presenting what the data suggests without overstating the conclusion.

Business Growth

You may assistance scheme or run growth experiments that test demand, acquisition, conversion, or retention. The activity requires stating a hypothesis, deciding what achievement looks like, executing quickly, and reporting whether the test have to be scaled, changed, or stopped.

Product Inputs

You may activity alongside merchandise teams by converting client or market observations into usable feedback. This method separating one-off opinions from repeated patterns, explaining which issue is urgent, and assisting the squad comprehend how a characteristic or merchandise choice affects adoption.

Operations and Strategy

You may assistance functioning plans by tracking dependencies, documenting bottlenecks, and assisting teams create trade-offs. For example, before a run or pilot, you may align merchandise readiness, revenue messaging, client targeting, and implementation timelines so the squad does not move in silos.

Founder Office Work

You may activity immediately on founder-priority tasks anywhere speed, clarity, and reliability matter. This could affect preparing a abbreviated decision note, comparing options, summarising site learning, or driving a small undertaking anywhere the originator expects apparent movement inside a tight timeline.

4. Key Competencies for Success

High performers in this internship display that they can think independently, act fast, and motionless communicate alongside maturity. The discussion volition reward candidates who can demonstrate that they have handled ambiguity, made apparent decisions, and improved through feedback.

5. Interview Process at SynVesCo Ventures

Prepare for a applicable procedure that tests how you think, communicate, and execute in an early-stage venture-building setup. Expect the conversation to concentration small on textbook revenue definitions and additional on ownership, clarity, client understanding, and comfort alongside ambiguous endeavor problems.

Application and Profile Screen

Your resume is checked for evidence of ownership, execution, problem-solving, and curiosity. Projects, internships, evidence initiatives, investigation work, revenue exposure, growth experiments, and founder-like responsibilities matter additional than a polished catalog of titles.

Behavioral and Ownership Round

This circular tests how you think, transport yourself, obtain responsibility, and react whenever there is no ideal education manual. Use organized stories alongside context, action, result, and consideration fairly than broad statements concerning being hardworking.

Sales and Growth Case

You may be stated a market, client segment, or project issue and asked how you would validate petition or develop adoption. The interviewer looks for segmentation, apparent assumptions, applicable outreach steps, and a measurable test design.

Founder or Leadership Discussion

The final conversation checks motivation, judgment, communication maturity, and fit for a fast-moving 0 to 1 environment. Be prepared to explain why venture-building interests you and how you would contribute whenever the function shifts throughout sales, growth, product, and strategy.

Candidates get filtered out whenever they provision polished but vague answers. Prepare evidence of ownership, apparent thinking, and accelerated execution, particularly from situations anywhere instructions were incomplete.

6. Interview Questions

Use the STAR method for behavioral answers and a uncomplicated MECE construction for endeavor cases. SynVesCo interviewers volition prioritise apparent thinking, judgment, ownership, and whether your answer turns into act fairly than theory.

Behavioral and Company-Fit Questions

Role-Specific Sales, Funnel, and Growth Questions

Product and Market Case Questions

7. Topics and Areas of Focus

Prepare for topics that test whether you can think akin an first endeavor builder. The strongest preparedness connects revenue implementation alongside market learning, client insight, merchandise feedback, and founder-ready communication.

8. Preparation Plan

Freshers: concentration on organized answer frameworks, evidence ownership stories, and revenue basics. Experienced candidates: prepared 3-5 particular effect stories that display measurable ownership, autonomous execution, and learning in ambiguous settings.

Week 1

Understand the Role

Map SynVesCo's venture-building example to sales, growth, research, and merchandise work.

Week 2

Build Sales Depth

Practise funnels, client discovery, objections, and growth experiments.

Week 3

Craft Interview Stories

Convert former activity into STAR stories for ownership, judgment, and execution.

Week 4

Mock and Refine

Run mocks, enhance case structure, and sharpen founder-ready communication.

Pre-Interview Checklist

9. Career Growth and Next Roles

A Sales Intern who performs fine can build a occupation throughout sales, growth, endeavor strategy, product-facing roles, or founder-office work. Progression depends on proving ownership, audio judgment, speed of execution, and the capability to contribute to endeavor outcomes beyond assigned tasks.

Sales Intern

At this stage, you own defined tasks throughout sales, research, growth, or founder-priority projects. To remain out, demonstrate that you can comprehend a issue quickly, execute without repeated reminders, communicate advancement clearly, and rotate client or market learning into helpful next steps.

Business Development or Growth Associate

In the next role, you may own prospecting, market validation, client conversations, growth tests, and reporting for a particular project workstream. The move requires improved chimney discipline, sharper client discovery, stronger written updates, and the capability to propose act from incomplete data.

Growth or Strategy Manager

At this level, you may guide experiments, coordinate throughout sales, marketing, product, and operations, and power venture-level decisions. You must display that you can build repeatable systems, acknowledge precedence markets, grip trade-offs, and guide younger squad members through execution.

Business Lead or Specialist Track

Beyond the director stage, you may move toward foremost a project workstream or becoming a profound expert in growth, revenue strategy, product-led growth, or founder-office execution. The differentiator becomes judgement at scale, squad leadership, market depth, and the capability to rotate first signals into category-building moves.

10. Conclusion

To win in the SynVesCo Ventures Sales Intern interview, demonstrate that you can think plainly and act accelerated in ambiguity. The discussion is small concerning memorising revenue terminology and additional concerning showing ownership, judgment, organized problem-solving, and honest learning from genuine work.

Prepare one revenue case, one market investigation note, and one founder-style advancement update before the interview. Also build STAR stories that display how you handled unclear instructions, made decisions alongside constricted information, executed quickly, and improved following feedback.

Pick one project idea in agriculture selling or AI social and prepared a one-page petition validation scheme alongside mark users, finding questions, outreach method, achievement metric, and next action.

Top Tips for Interview Success

SynVesCo Ventures: Business Growth Intern Interview Guide

support@mycoding.id (Board Infinity) — Mon, 19 Oct 2026 07:56:38 +0700

SynVesCo Ventures: Business Growth Intern Interview Guide

A Business Growth Intern at SynVesCo Ventures plant on early-stage project problems anywhere the answer is not already written. The function matters since interns may assistance investigation new markets, test growth experiments, assistance merchandise decisions, and activity near to founders on initiatives that power how new businesses are shaped.

This guide is built for students preparing for the SynVesCo Ventures Business Growth Intern choice process. It covers the role, skills, responsibilities, discussion rounds, role-specific questions, case preparation, and a 4-week scheme you can prosecute before evidence or off-campus interviews.

1. About the Business Growth Intern Role

This internship is for candidates who can grip ambiguity and motionless move activity forward. You may be asked to interrupt downward a new endeavor problem, difference market opportunities, form an experiment, or rotate originator direction into a apparent implementation scheme alongside deadlines and measurable outputs.

The function sits throughout SynVesCo Ventures functions fairly than inner one narrow department. You may activity alongside founders, endeavor leaders, marketing, sales, research, analytics, product, operations, strategy, and originator agency teams depending on your strengths and business priorities. For neighboring growth discussion practice, see the Business Development Manager discussion guide.

2. Required Skills and Qualifications

Skills Overview

3. Day-to-Day Responsibilities

A representative week can change between research, execution, and originator discussions. The average form is to comprehend an unclear problem, change it into a helpful output, and keep improving it according to feedback.

Marketing Experiments

You may assistance scheme and assessment small promotion experiments for a venture. This can contain defining the mark segment, framing the message, deciding what reply to track, coordinating alongside the applicable team, and summarising what the test showed. The concentration is not fair creativity, but learning what can scale.

Sales Signals

You may assistance sales-related activity by converting conversations, objections, and person responses into apparent insights. For example, you could difference why one client section responds improved than another, acknowledge repeated objections, and propose what the squad should test next in positioning, outreach, or follow-up.

Research and Analytics

You may investigation markets, users, competitors, categories, or procedure gaps and rotate scattered data into usable analysis. The expected output could be a abbreviated note, difference table, dashboard input, or advice document that helps the squad create a decision without study raw investigation themselves.

Business Growth Work

You may activity on initiatives that power project growth, specified as identifying promising segments, mapping acquisition routes, prioritising first users, or tracking whether an test moved the correct metric. The interviewer volition anticipate you to nexus growth actions alongside endeavor outcomes, not fair activity.

Product Problem Solving

You may contribute to merchandise betterment by clarifying the person problem, collecting input from endeavor or market research, and assisting the squad decide what have to be built or tested first. This does not necessitate coding, but it does necessitate apparent thinking concerning users, workflows, and trade-offs.

Operations and Strategy

You may assistance construction operational problems, difference substitute approaches, and build uncomplicated implementation plans. In practice, this could average identifying anywhere a procedure is breaking, defining what data is needed, aligning the next steps alongside the team, and tracking whether the chosen method worked.

Founder Office Support

You may activity immediately on founder-led priorities anywhere speed, clarity, and discretion matter. The activity can affect preparing a decision note, coordinating inputs throughout teams, refining a issue statement, or taking a loosely defined project and returning alongside a usable archetypal version.

4. Key Competencies for Success

Top candidates display that they can think deeply, act quickly, and remain accountable whenever the issue is motionless messy. SynVesCo Ventures values group who can activity near to founders without waiting for all instruction.

5. Interview Process at SynVesCo Ventures

Expect the choice procedure to test ownership, organized issue solving, decision quality, and implementation speed. For a venture-building internship, prepared for conversations that move quickly from your resume to endeavor cases, founder-fit questions, and examples of autonomous execution.

Application and overview screen

The archetypal inspect is apt to concentration on whether your academic, project, internship, or exterior former shows ownership and issue solving. Strong profiles are not lone polished resumes. They display situations anywhere you took initiative, worked alongside ambiguity, and produced a applicable outcome.

Behavioral and motivation round

This circular checks why you desire a 0 to 1 venture-building internship and whether you can explain your former choices alongside maturity. Prepare examples for ownership, resourcefulness, mistakes, learning speed, teamwork, and integrity. Interviewers may difficulty vague claims, so keep evidence ready.

Business case or issue round

You may obtain a market, growth, product, or operations issue and be asked to construction it live. The interviewer volition appearance for apparent assumptions, prioritisation, applicable implementation steps, and the capability to decide without overcomplicating the answer.

Founder or endeavor chief discussion

This conversation tests judgment, communication, and fit alongside a high-ownership environment. Expect straightforward questions on how you think, how you grip incomplete information, what benevolent of activity energises you, and whether you can run without a fixed function box.

Final alignment

The final stage may inspect availability, internship expectations, domain fit, and willingness to activity throughout multiple priorities. Be prepared to explain what category of problems you desire to solve, how you favor to obtain feedback, and how you would contribute from the archetypal week.

Candidates can battle whenever they provision polished but generic answers and neglect to display how they personally handled ambiguity, made decisions, or executed under constraints. Prepare evidence, not slogans.

6. Interview Questions

Use the STAR method for behavioral answers and a MECE construction for endeavor cases, anywhere MECE method mutually exclusive and collectively exhaustive. SynVesCo Ventures interviewers volition prioritise ownership, judgment, resourcefulness, and the capability to change unclear problems into action.

Behavioral & Company-Fit Questions

Role-Specific Growth, GTM & Execution Questions

Product & Market Case Questions

7. Topics and Areas of Focus

Prepare for the discussion as a endeavor builder, not as a narrow promotion or revenue applicant. The strongest preparedness combines market structure, growth experiments, merchandise thinking, analytics, and founder-style communication.

8. Preparation Plan

Freshers should concentration on organized answer frameworks, evidence guidance examples, and live-project stories. Experienced candidates should prepared 3-5 effect stories that display measurable ownership, decision-making, learning speed, and contribution to endeavor growth.

For neighboring analytics-style case practice, the Business Analyst discussion guide can assistance you practise structuring problems, interpreting data, and turning findings into recommendations.

Week 1

Understand the Role

Map SynVesCo Ventures domains, function expectations, and your strongest ownership stories.

Week 2

Build Core Skills

Practise market maps, growth experiments, merchandise issue framing, and essential analytics synthesis.

Week 3

Case and Stories

Write STAR stories and resolve live-style cases alongside a recommendation-first answer.

Week 4

Mock and Refine

Run timed mocks, tighten answers, and prepared founder-level questions.

Pre-Interview Checklist

9. Career Growth & Next Roles

This internship can build a basis for endeavor growth, originator office, merchandise strategy, project building, or operations scheme roles. Progression depends on the capability to own ambiguous problems, communicate plainly alongside elder stakeholders, and display measurable contribution fairly than lone participation.

Business Growth Intern

At this stage, you demonstrate that you can rotate unclear activity into helpful output. The goal is to display ownership, organized thinking, dependable communication, and accelerated learning throughout one or additional domains specified as research, marketing, sales, product, operations, strategy, or originator agency work.

Business Growth Associate

The next stage is owning defined workstreams alongside measurable endeavor outcomes. You would be expected to run research, experiments, coordination, and reporting alongside constricted supervision during improving the norm of decisions for a project team.

Growth or Strategy Manager

At this level, you move from implementation assistance to owning larger endeavor problems. You may be liable for prioritising opportunities, managing cross-functional work, improving growth loops, and presenting recommendations that power product, market, or functioning choices.

Venture Lead or Specialist Path

Beyond director level, growth can divided into group guidance or a profound expert path. A project guide owns broader endeavor outcomes and squad execution, during a expert may deepen in merchandise strategy, growth analytics, market expansion, operations strategy, or originator agency work.

10. Conclusion

The most crucial preparedness is to demonstrate that you can think and execute akin an owner. Build answers that display how you handled ambiguity, made decisions alongside constricted information, learned quickly, and delivered a helpful outcome without needing changeless direction.

Before the interview, prepared one market map, one growth experiment, and five STAR stories mapped to the competencies SynVesCo Ventures values. Practise saying your advice first, afterward assistance it alongside evidence, assumptions, risks, and the next action.

Create a one-page case note today: choose an unstructured Indian industry, define one person ache point, propose a 7-day validation experiment, and compose the metric that decides whether to continue.

Top Tips for Interview Success

Ukraine is making anti-Shahed missiles that have to cost less than $20,000 per shot

support@mycoding.id (Matthew Loh) — Mon, 19 Oct 2026 07:08:41 +0700

Soldiers from the 148th Separate Artillery Zhytomyr Brigade of the Ukrainian Airborne Forces blaze attack missiles from a BM-21 Grad MLRS. Dmytro Smolienko/Ukrinform/NurPhoto via Getty Images

Ukraine has been operating a yearslong weapons program to create cheap surface-to-air missiles that disbursal no additional than $20,000 each, stated Andrii Hrytseniuk, the caput of its Brave1 startup incubator.

Several firms have been evaluation prototypes under this framework, and Kyiv is "preparing to put two of these companies into combat," Hrytseniuk stated in a video discussion published alongside Ukrainska Pravda on Thursday.

He expressed anticipation that a third would shortly attain a akin stage.

Hrytseniuk stated several of these manufacturers have managed to get expenses downward to $10,000 per missile, although the program has set a difficult cost cap of $20,000 per shot.

"This is considerably cheaper than the disbursal of a Shahed. Even if you need two or three missiles, it is motionless multiple times cheaper than the disbursal of a Shahed," stated Hrytseniuk of the limit.

Hrytseniuk stated the program was launched by Brave1 as a competition between Ukrainian firms to "create the cheapest anti-aircraft missile systems possible."

"Funding for missiles began in 2024, but making a missile takes equal additional period than making an interceptor drone," he added.

A cost bounds of $20,000 would create these Ukrainian missiles equal cheaper than the AGR-Falco Advanced Precision Kill Weapon System, an American-made unguided 70mm missile fitted alongside a laser direction kit.

Costing concerning $30,000 to $35,000 each, these were traditionally air-to-ground rockets that have now been converted for air defence in Ukraine. The cheapest US norm surface-to-air missile is the shoulder-mounted Stinger, which expenses concerning $120,000 per missile.

The Ukrainian attempt to lesser air defence expenses comes as a reply to Russia's extended Shahed assault drone fleets, which are many and cheaper to create than representative missiles. Ukrainian officials have estimated that the Russian Geran-2, for example, expenses $70,000 each, during jet-powered drones akin the Geran-3 disbursal at smallest $100,000.

Kyiv uses a layered network of defence systems, including device gun crews, interceptor quadcopters, and digital warfare, to combat against these drones, which Russia can initiate hundreds of at a time.

But Moscow has increasingly used jet-powered Gerans, which fly too accelerated for regular interceptor drones and individual gun crews to keep up with. A new AI-powered terrain mapping scheme established on several Gerans has additionally raised concerns that Russia volition shortly be capable to bypass Ukrainian jamming.

Ukraine's substitute has been air-defense missiles, specified as the air-launched AIM-9 Sidewinder, which can disbursal concerning fractional a myriad dollars per shot.

Ukrainian President Volodymyr Zelenskyy stated before this duration that his nation was operating on a "small missile program" as a oppose to jet-powered Gerans.

"There are multiple types. We volition plainly see the outcome this month. At the end, in the second fractional of this month," he told reporters at a media conference.

In September, Hrytseniuk told Business Insider's Jake Epstein that multiple Ukrainian companies were additionally integrating synthetic intelligence into attack missile systems and were seeing "first successes."

Rahasia Membaca Tren dari Data Media Sosial

support@mycoding.id (Mc Project) — Mon, 19 Oct 2026 07:00:10 +0700

Rahasia Membaca Tren dari Data Media Sosial

Media sosial menghasilkan jutaan keterangan setiap hari yang dapat dianalisis untuk menemukan pola, tren, dan insight yang bernilai. Dalam video ini, Anda akan mempelajari konsep Social Web Mining, yaitu proses mengumpulkan, mengolah, dan menganalisis keterangan dari platform digital menggunakan teknik analisis data, visualisasi jaringan, dan pemrosesan keterangan dari sumber yang tersedia. Materi ini membahas dasar-dasar social media analytics, analisis hubungan antar akun, identifikasi tren, serta penggunaan tools dan API untuk memahami perilaku digital secara etis dan sesuai dengan kebijakan platform. Cocok bagi Anda yang mau mempelajari Data Science, OSINT, Big Data Analytics, maupun riset media sosial untuk pengambilan keputusan berbasis data. Playlist video terkait: ▪ https://www.youtube.com/playlist?list=PLZGgeqmsm32s ▪ https://www.youtube.com/playlist?list=PLZomBNpDl3vc ▪ https://www.youtube.com/playlist?list=PLE5VyXMZkzb8 PEMBAHASAN MATERI Playlist Materi Ilmu Komputer berisi kumpulan video pembelajaran, tutorial, klarifikasi konsep, studi kasus, demo, dan bahasan komplit seputar beragam sektor dalam ilmu komputer. Materi yang disajikan mencakup alas hingga tingkat lanjut, mulai dari pemrograman, pengelolaan database, jaringan komputer, keamanan siber, mekanisme operasi, pengembangan alat lunak, arsitektur komputer, hingga beragam teknologi yang digunakan dalam bumi komputasi modern. Temukan bahasan mengenai komputer dan pemrograman, algoritma, struktur data, PHP, JavaScript, Python, Laravel, MySQL, PostgreSQL, API, rekayasa alat lunak, database, jaringan komputer, pengelolaan server, cloud computing, virtualisasi, Linux, Windows Server, keamanan jaringan, cyber security, ethical hacking, kriptografi, keamanan aplikasi, DevOps, Internet of Things (IoT), kecerdasan buatan (AI), machine learning, serta beragam konsep, teknologi, dan praktik terbaik di sektor ilmu komputer. Playlist ini cocok bagi pelajar, mahasiswa, programmer, web developer, software engineer, pengelola sistem, ahli IT, maupun siapa saja yang mau mempelajari dan memperdalam wawasan di bumi ilmu komputer secara menyeluruh. CONTACT US ▪ Email support@mycoding.id ▪ WhatsApp https://wa.me/6281274309663 ▪ Telegram https://t.me/mycodingxd OFFICIAL LINKS ▪ Web https://mycoding.id ▪ Blog https://blog.mycoding.id ▪ News https://en.mycoding.id ▪ Apps https://play.google.com/store/apps/dev?id=5237501547073493079 SOCIAL MEDIA ▪ https://linkedin.com/company/mycodingxd ▪ https://facebook.com/mycodingxd ▪ https://instagram.com/mycodingxd ▪ https://tiktok.com/@mycodingxd ▪ https://twitter.com/mycoding_xd ▪ https://pinterest.com/mycoding_xd CHANNEL LINKS ▪ YouTube https://safelink.asia/youtube ▪ DailyMotion https://safelink.asia/dailymotion ▪ WhatsApp https://safelink.asia/whatsapp ▪ Telegram https://safelink.asia/telegram Powered by https://linkedin.com/company/401XDGroup #DataScience #ArtificialIntelligence #CyberSecurity #Networking #Programming #Database

Tmux and Claude Code: Sessions, Send-Keys, and the Ceiling

support@mycoding.id (Mira Azkia) — Mon, 19 Oct 2026 06:55:31 +0700

tmux runs your AI coding agents in named, detachable sessions that last a closed terminal or a dropped SSH connection. You get one opening holding many agents, send-keys to category into any of them from a script, and capture-pane to peruse one back. That blend is why group use it.

Before you build any of it by hand, inspect the built-in path: latest versions of Claude Code can create the worktree and the tmux meeting for you alongside claude --worktree --tmux. This guide covers that first, afterward everything it doesn’t reach, afterward the item anywhere tmux itself stops.

Why tmux and agents go together

A coding delegate is a long-running procedure that wants to keep talking to a terminal. Three properties of tmux equivalent that shape:

It survives disconnection. The tmux server owns the pty, not your terminal window. Close the window, endure your SSH link, put the laptop to sleep: the delegate keeps operating and is motionless there whenever you reattach.

It holds many sessions in one window. Four agents rotate into four named sessions you toggle between alongside a keystroke, alternatively of four windows you hunt for in the app switcher.

It’s scriptable from outside. Any shell, anywhere, can category into a operating delegate or peruse its screen. No IPC to build, no API to cable up. This is the asset group build on, and it’s why tmux keeps showing up in agent-orchestration scripts.

The built-in flag, before you build anything

Claude Code ships alongside this wired up for the single-agent-on-a-branch case. Two flags, from claude --help on a latest version:

-w, --worktree [name] Create a new git worktree for this session  (optionally define a name)  --tmux Create a tmux meeting for the worktree  (requires --worktree). Uses iTerm2 native panes  whenever available; use --tmux=classic for  traditional tmux.

So the entire “isolate this task, provision it its own session” move is one command:

claude --worktree --tmux  # or name the worktree claude --worktree auth-refactor --tmux

Two particulars matter before you depend on it. --tmux errors without --worktree, so it’s a worktree characteristic that happens to create a session, not a broad meeting flag. And on iTerm2 it uses native panes alternatively of tmux, which is nicer to appearance at and method the tmux commands in the remainder of this leaf have nothing to nexus to. Pass --tmux=classic whenever you desire genuine tmux underneath, which you do if you scheme to manuscript against the session.

For a sole delegate on a sole branch, that’s the answer. Use it and skip ahead.

What it doesn’t do: run multiple agents in one session, lay out panes so you can observe them, let you category into a operating delegate from a script, inform you which delegate is waiting on you, or set any of this up on a distant box complete SSH. Those are the remainder of this guide, and all one is anywhere group end up penning tmux by hand.

More on the worktree fractional of that emblem in git worktrees for parallel development.

Session per project, named by project

The organizing regulation that keeps this usable: one tmux meeting per repo, named following the repo. Not per task, not per agent. Tasks arrive and go; the project is the stable thing.

# commencement a detached meeting in a project directory tmux new-session -d -s api -c ~/code/api  # nexus to it (creates it if it doesn't exist) tmux new-session -A -s api -c ~/code/api

-A is attach-or-create. It makes a sole command harmless to run repeatedly, which is what you desire in a casing function:

# ~/.zshrc agent() {  local dir="${1:-$PWD}"  local name="$(basename "$dir" | tr . -)"  tmux new-session -A -s "$name" -c "$dir" }

Session names can’t merge . or : (tmux uses them as mark separators), hence the tr.

Then tmux ls becomes a genuine inventory:

$ tmux ls api: 3 windows (created Fri Jul 31 09:12:04 2026) web: 2 windows (created Fri Jul 31 09:40:11 2026) infra: 1 windows (created Fri Jul 31 11:02:55 2026)

Add a bit additional alongside a format string:

tmux list-sessions -F '#{session_name} windows=#{session_windows} attached=#{session_attached}'

A layout for observing multiple agents

Inside a session, provision all delegate its own window, named for the task:

tmux new-window -t api -n auth -c ~/code/api tmux new-window -t api -n tests -c ~/code/api

Windows are improved than panes for agents you’re not actively watching, since a opening expenses no display space. Panes are for the two or three you desire flank by flank correct now:

# divided the current opening and tile any is in it tmux split-window -h -c '#{pane_current_path}' tmux split-window -v -c '#{pane_current_path}' tmux select-layout tiled

#{pane_current_path} is uncomplicated to depart off. Without it a new pane opens in the directory the meeting started in, not the directory you’re really in, and the delegate you initiate there is pointed at the incorrect repo.

Two layouts by name: tiled for an equal grid of agents, and main-vertical for one big pane (the delegate you’re driving) alongside the remainder stacked beside it.

tmux select-layout main-vertical tmux set-window-option main-pane-width 60%

Percentage values for main-pane-width need tmux 3.2 or newer. On older builds use an complete pillar figure (main-pane-width 120). Check alongside tmux -V.

A .tmux.conf value having

These are the lines that matter for delegate activity specifically. They’re not a complete config, they’re the delta from defaults that a fleet of agents makes you want.

# agents create a lot of output, and you volition desire to scroll rear through it set -g history-limit 100000  # 24-bit colour, so delegate TUIs render the way they were designed to set -g default-terminal "tmux-256color" set -ga terminal-overrides ",*256col*:Tc"  # scroll and click between panes alongside the mouse set -g mouse on  # don't let a operating procedure rename the opening out from under you set -g allow-rename off set-window-option -g automatic-rename off  # 1-indexed windows equivalent the figure keys on your keyboard set -g base-index 1 set-window-option -g pane-base-index 1 set -g renumber-windows on  # emblem windows whose delegate produced output during you were elsewhere set-window-option -g monitor-activity on set -g visual-activity off  # position row refreshes frequently adequate to be a monitor set -g status-interval 5  # no postpone whenever an agent's TUI says an escape sequence set -sg escape-time 10  # jump panes without the prefix key bind -n M-h select-pane -L bind -n M-j select-pane -D bind -n M-k select-pane -U bind -n M-l select-pane -R  # reload without restarting the server bind r source-file ~/.tmux.conf \; display-message "config reloaded"

Agent TUIs akin to set the terminal title, so without allow-rename off your carefully named auth opening becomes any the delegate felt akin calling itself.

escape-time 10 fixes the “my arrow keys are laggy inner the agent” complaint. The default postpone exists to disambiguate a genuine Escape key from an escape sequence, and it makes interactive TUIs awareness mushy.

Driving an delegate alongside send-keys

send-keys types into a pane as if you were at the keyboard. This is how you manuscript an delegate from cron, from a git hook, or from another agent.

# mark syntax: session:window.pane tmux send-keys -t api:auth "run the test suite and fix what fails" Enter

Three things go incorrect here, in command of how often:

Bare arguments get interpreted as key names. Enter, C-c, Escape, and Space are keys, not text. If your immediate contains one of those words as a standalone disagreement it gets sent as a keypress. Use -l to dispatch a literal string:

tmux send-keys -t api:auth -l "press Enter to continue was the old flow" tmux send-keys -t api:auth Enter

-l disables key-name lookup entirely, so the newline have to be a second call.

Semicolons end the tmux command. A trailing ; in your content is peruse as a command separator. Escape it as \;.

Agent TUIs need a attack between the content and the newline. Many delegate input boxes debounce or re-render on paste, and an Enter arriving in the identical example as the content gets swallowed. The dependable pattern:

tmux send-keys -t api:auth -l "$PROMPT" sleep 0.3 tmux send-keys -t api:auth Enter

Interrupting a runaway delegate is the identical mechanism:

tmux send-keys -t api:auth C-c

Reading an delegate rear alongside capture-pane

capture-pane dumps a pane’s contents to stdout. It’s the peruse fractional of the pair.

# the apparent screen tmux capture-pane -p -t api:auth  # the final 200 lines, alongside wrapped lines joined rear together tmux capture-pane -p -J -S -200 -t api:auth  # the complete scrollback tmux capture-pane -p -J -S - -t api:auth  # keep the color escape sequences tmux capture-pane -p -e -t api:auth

-J matters additional than it looks. Without it, a row that wrapped at your terminal width comes rear as two lines, and all grep you compose against the output is incorrect at the seams.

For a uninterrupted log fairly than a snapshot, pipe-pane streams everything a pane produces to a command:

tmux pipe-pane -o -t api:auth 'cat >> ~/agent-logs/api-auth.log'  # halt it tmux pipe-pane -t api:auth

-o toggles, so operating it twice turns it off. The output is raw, escape sequences and all, so pipe it through item akin sed -E 's/\x1b\[[0-9;]*[a-zA-Z]//g' if you desire it readable later.

The status-line monitor

Every individual who runs multiple agents in tmux eventually builds this: a position row that tells you which agents are operating and which are waiting.

The scheme is #() in the position line, which runs a casing command and interpolates its output, refreshed all status-interval seconds.

set -g status-interval 5 set -g status-right '#(~/bin/tmux-agent-status) | %H:%M' set -g status-right-length 100

And the script, which capture-scrapes all pane for a sign of life:

#!/usr/bin/env bash # ~/bin/tmux-agent-status out="" while read -r target; do  screen="$(tmux capture-pane -p -J -S -8 -t "$target" 2>/dev/null)"  name="${target%%:*}"  case "$screen" in  *"Do you want"*|*"❯ 1."*) out+="⏸ $name " ;; # parked on a prompt  *"esc to interrupt"*) out+="● $name " ;; # working  *) out+="○ $name " ;; # idle  esac done < <(tmux list-panes -a -F '#{session_name}:#{window_index}.#{pane_index}') printf '%s' "$out"

It works, and it’s value building. Be clear-eyed concerning what it’s doing: cord matching against a TUI’s rendered frame, on a five-second poll, for all pane you have open. The equivalent strings are any your delegate type happens to imprint this week.

The lighter-weight type uses tmux’s own action tracking alternatively of scraping. monitor-silence fires an vigilant whenever a pane produces no output for N seconds, which is the closest native indication to “this delegate stopped”:

set-window-option -g monitor-silence 30 set -g visual-silence on

You can suspend an act off it:

set-hook -g alert-silence 'run-shell "osascript -e \"display notification \\\"agent idle\\\"\""'

Silence is a proxy for done, not a study of it. An delegate thinking difficult concerning a ample document is silent too.

Detach, reattach, and what survives what

tmux detach-client # or the prefix, afterward d tmux attach -t api tmux switch-client -t web # from inner another session tmux kill-session -t api

What survives:

Event	Agents keep running?
Close the terminal window	yes
Detach the client	yes
SSH association drops	yes
tmux kill-session	no
tmux kill-server	no
Reboot	no
macOS “Reopen windows” following restart	no

The tmux server is fair a procedure owned by your user. Nothing concerning tmux makes it last a reboot, and a session’s scrollback is misplaced whenever the server stops. If the copy matters, pipe-pane it to a document or use a tool that persists former on its own.

One item group trip on: a detached session’s panes are sized to the final client that was attached, or to 80x24 if there never was one. An delegate TUI rendering into an 80-column pane during you’re distant volition appearance incorrect whenever you reattach at 200 columns, until it redraws. set-window-option -g aggressive-resize on helps whenever multiple clients are attached at distinct sizes.

tmux complete SSH

This is anywhere tmux is genuinely difficult to replace. Running agents on a distant box, complete a nexus you don’t trust:

# nexus or create, in one command, alongside a tty allocated ssh devbox -t tmux new-session -A -s agents

Your association drops mid-task, you run the identical command again, and you’re rear in the identical meeting alongside the delegate motionless going. Pair it alongside mosh if your nexus is bad adequate that SSH itself keeps dying.

The nested-tmux problem: if you run tmux locally and additionally on the distant box, the two catch the identical prefix. The two fixes are a distinct prefix on the distant (set -g prefix C-a), or pressing the prefix twice, which tie C-b send-prefix gives you.

For operating agents on a device that isn’t the one in forefront of you, see remote development.

Where tmux stops

tmux is fine software. It solves multiplexing and persistence concerning as fine as those can be solved, and it has been doing it since 2007. What it doesn’t do is item particular to agents, since agents didn’t be whenever its example was designed.

No visibility into which delegate is parked. An delegate waiting on an endorsement immediate looks exactly akin an delegate thinking, which looks exactly akin an delegate that completed twenty minutes ago. All three are “a pane alongside several content in it”. The status-line hack complete exists to document complete this, and it document by scraping.

No notification whenever one finishes. monitor-silence is the nearest thing, and it fires on any quiescent pane for any reason. There is no event for “the delegate is done” since tmux has no idea what an delegate is.

Screen abrasion is brittle by construction. capture-pane gives you the rendered frame: spinners, box drawing, truncated columns, ANSI. Not what the delegate said, not which tool it called, not whether that call succeeded. Every parser you compose against it breaks whenever the delegate ships a UI change.

No shared province throughout sessions. Two agents in two tmux sessions have no way to see all other. If you desire one to peruse another’s copy or hand off work, you build that yourself, out of records and locks and polling.

Scrollback for multiple streaming agents is expensive. history-limit 100000 throughout a dozen panes of delegate output is genuine memory, held per pane for as lengthy as the server lives, and gone the instant it does. See terminal emulators for AI agents for why the rendering flank of this gets costly too.

Nothing survives a reboot. Every session, all transcript, gone.

None of these are flaws. They are the border of a tool built to multiplex shells for one individual at a keyboard.

Where crystl picks up

crystl is a macOS terminal built for the workload tmux was not shaped for: many agents at once, most of them off-screen, all one occasionally needing you.

The differences map nearly one-to-one onto the catalog above.

Approvals exterior alternatively of getting buried. When any delegate pauses for permission, crystl floats it as a card, colour-coded by project, and you answer without switching sessions. No scraping, no polling. See floating cards.
Agent province is a first-class signal. The agent action panel shows all session’s province at once: working, waiting on you, idle, done. That’s the item the status-line manuscript was approximating.
Output is structured, not scraped. crystl captures all turn, tool call, and outcome as typed records, so history is searchable throughout all meeting and agents can peruse all other’s transcripts without parsing ANSI.
Sessions are organized by project, and they persist. Projects are gems, sessions inner them are shards, and former survives decision a opening or restarting the Mac. More in multitasking.
Parallel activity on one repo is isolated. Isolated shards are backed by genuine git worktrees, so two agents on the identical repo don’t collide. See parallel sessions.

The recommendation: keep tmux. It’s motionless the correct answer for distant boxes, for long-running processes on servers, and for item anywhere the SSH nexus is the susceptible part. Use it for that. When the item you’re managing is six agents that all need a decision from you at an unpredictable moment, the issue stopped being multiplexing.

More on the organizing flank of this in managing multiple AI coding sessions, and on keeping agents operating fairly than idle in running AI coding agents for longer.

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support@mycoding.id (Null Php Script) — Mon, 19 Oct 2026 06:00:00 +0700

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Chaos and looting roiled major cities as Europeans poured into the streets to protest rising living costs

support@mycoding.id (Truman Dickerson,Amanda Goh) — Mon, 19 Oct 2026 05:43:47 +0700

Protesters took to the streets in capitals throughout Europe complete the weekend. In Brussels, demonstrators conflicted alongside police. Dursun Aydemir/Anadolu via Getty Images

Demonstrators took to the streets throughout multiple European cities and capitals this weekend to objection the elevated disbursal of living in their countries.

Though the violence in Paris and another French cities claimed the headlines, thousands additionally showed up in Portugal, Italy, and Belgium. Demonstrators were arrested in ample numbers — many group were seen in photos and videos conflicting violently alongside constabulary and looting local businesses.

Energy cost hikes, caused at smallest in part by the US-Israeli war alongside Iran and the battle between Russia and Ukraine, have contributed to the rising prices. Other demonstrations in Belgium and France were begun by students and have since snowballed into larger-scale demonstrations, involving union workers and another organizations.

Here's a appearance at the anarchy that unfolded throughout the Atlantic this weekend, anywhere peaceful protests eventually devolved into riots and looting.

Lisbon

Protestors in Lisbon demanded a broad addition in wages. Horacio Villalobos#Corbis/Getty Images

In Lisbon, Portugal's capital, group took to the streets on October 17 to objection the cost-of-living crisis, low wages, and unaffordable housing.

The demonstration, which was organized by the CGTP, Portugal's largest commerce union federation, was additionally held in Porto and Coimbra. In all, the union said "thousands of workers" took part.

About 12.7% of the community in Portugal lives in overcrowded households.

Housing prices in Portugal recorded the largest annual addition of any EU associate province in the second fourth of 2026, rising 16.5%. In Lisbon, the average rent is equal to 116% of the average salary, definition it exceeds a representative monthly earnings by 16%.

Earlier this week, constabulary removed a shelter campsite that activists had set up in Praça D. João I, a chief community quadrate in Porto, to diagram notice to rising accommodation costs.

Brussels

Riot constabulary used a h2o cannon to spray younker demonstrators in Brussels, Belgium on Saturday NICOLAS MAETERLINCK / Belga / AFP via Getty Images

In Belgium, students have held demonstrations in latest weeks complete rising learning costs, several of which turned aggressive complete the weekend.

Video footage showed constabulary using h2o cannons and tear gas during clashes alongside protesters in Brussels.

Belgian inner curate Bernard Quintin stated in a post on X on Saturday that "what is unfolding in Brussels is no longer uncomplicated protest" and "all necessary method volition be used to reconstruct command in the visage of the rioters."

Clashes additionally took location in Liège. Police arrested 195 group throughout the two cities during Saturday's protests, per The Brussels Times.

Milan

A demonstrator in Milan is encircled by riot police. Piero CRUCIATTI / AFP via Getty Images

In Milan, a display complete the weekend against wars and the rising disbursal of living additionally descended into clashes between protesters and police.

Photos showed disorderly scenes about Piazza del Duomo, the landmark chief quadrate exterior the Milan Cathedral and among the city's busiest tourist areas, alongside looters damaging shop fronts and environment objects on fire.

Italian Prime Minister Giorgia Meloni condemned the aggression in a article on X on Sunday.

"Thugs who utilize demonstrations to sow chaos, assault those who justify security, and clasp complete cities hostage," she wrote. "Demonstrating is a right. Setting our cities ablaze is not."

The demonstrations were additionally held in another cities throughout northern Italy. Police estimates reported by Rai News, Italy's community broadcaster put turnout at concerning 5,000 in Milan, 3,000 in Turin, 2,000 in Bologna, 600 in Brescia, and 800 in Bergamo.

Italy's annual cost increase rate jumped to 4.1% in September, up from 3.2% in August.

In Milan, residence prices have additionally climbed: residential asking prices were 49% higher in September than in 2018, according to the asset portal Immobiliare.it.

DeepSeek V4.1 Flash 1017 (Max)

support@mycoding.id (Riki Setiawan) — Mon, 19 Oct 2026 05:41:46 +0700

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Verisign .com Domain Name Registry Consumer Class Action

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What smart people are saying about Anthropic's 5% 'public benefit' pledge

support@mycoding.id (Tracy Connor) — Mon, 19 Oct 2026 05:36:41 +0700

Anthropic CEO Dario Amodei Finn Gomez/Getty Images

Anthropic's announcement that it volition commit at smallest 5% of its shares to a "public advantage fund" is example a mix of enthusiasm and skepticism. Many questions concerning how the prosperity would activity remain unanswered, but the business stated it would create a distinct company alongside the shares to create donations.

Here's what group are saying.

Elon Musk, CEO of SpaceXAI

Elon Musk says he plans to provision prosperity immediately to the public. Win McNamee/Getty Images

Musk, whose SpaceXAI is a competitor of Anthropic, made several news concerning his own plans in an X post reacting to Anthropic's statement.

"I propose giving the shares immediately to the public," he wrote. "This is what I volition be doing."

Palmer Luckey, Anduril cofounder

Palmer Luckey questions whether Anthropic should define the "public good." Ann Wang/Reuters

The Anduril Industries cofounder expressed involvement concerning what Anthropic power fund.

"The issue is that their definition of 'public good' is assisting everyone else, not the American public," he wrote on X.

"If they would commit to assisting America and Americans, that would be one thing, but this reeks of USAID 2.0, fair another way to chimney billions out of our own economy."

Andrew Curran, AI analyst

The notable AI expert zeroed in on a row in Anthropic's declaration in which it stated it power examine "direct distributions to particular populations." Curran wrote on X.

"It appears to me akin they are preparedness their own form of self-directed earth UBI," he wrote referring to worldwide essential income, which several have stated volition be necessary if AI drastically reduces employment.

"About fractional of Anth workforce are additionally donating shares into this fund," Curran added. "They foresee a transformative future."

Brad Gerstner, CEO of Altimeter Capital

Brad Gerstner called Anthropic's commitment "an bonzer gift." Bloomberg/Getty Images

Gerstner praised Anthropic for what he called its "philanthropic commitments," calling it "an bonzer gift" — but he additionally echoed a note of alert concerning "foundation prosperity concentration."

Like Musk, he wrote, "I anticipation a meaningful part of AI's prosperity is a straightforward dividend."

Sam Hogan Heutmaker, CEO of Inference

The CEO drew a difference between Anthropic's scheme to create a philanthropy and OpenAI, which began as a nonprofit before going commercial.

"This volition arrive to be known as 'the reverse OpenAI'" he wrote on X. "start as C corp, lift many of prosperity > formerly successful, commencement 'independent' non gain > commencement concentrating value into this new entity, which you and your homies control."

"It's genius," he added.

Gary Marcus, prof at NYU

Gary Marcus says the commitment "reeks of desperation." Bloomberg/Getty Images

Marcus mold the notice as a PR gambit.

"Anthropic is playing games here," he wrote on X. "Trying to curry community favor during motionless holding authority and resisting disclosure is annoying. And reeks of desperation."

Patrick Moorhead, CEO of Moor Insights and Strategy

Patrick Moorhead says the prosperity should go immediately to the public. Errich Petersen/SXSW Conference & Festivals via Getty Images

Moorhead was among those raising questions concerning whether Anthropic would have too much authority complete anywhere the finances go.

"If it's dedicated entirely the 'public benefit' why don't they fair provision it to the community and citizens anywhere they can immediately benefit? Seems akin the community would cognize what to do alongside the prosperity improved than bureaucratic institutions," he wrote on X.

Show HN: Strot – Compile an LLM's intent once, run decisions locally forever

support@mycoding.id (Riki Setiawan) — Mon, 19 Oct 2026 05:32:07 +0700

The open decision compiler

Compile your intent formerly alongside an LLM. Then decide on all document forever — classification, scoring, routing — as type-safe JSON alongside probabilities and confidence, on your own hardware, at zero marginal cost.

Website · Docs · Benchmarks · PyPI

Agents at compile time. Never at runtime.

import strot result = strot.run( tickets, query="Triage incoming assistance tickets into the accurate workflow.", action_registry={ "billing_dispute": "Refunds, invoice corrections, twice charges", "technical_defect": "Crashes, bugs, damaged behavior", }, llm="anthropic/claude-opus-4-8", # used once, on archetypal compile only ) for o in result.outcomes: print(o["action"], round(o["confidence"], 2)) # billing_dispute 0.97 # technical_defect 0.94

The LLM runs once, at compile time. Production is a frozen, self-contained Python artifact: a small local decision example arbitrates all record, nothing is generated, all output is bounded, and low-confidence records abstain instead of guessing.

STROT = Agentic Schema Intent + Compiler & State + Code + Execution + NLU ⟹ JSON Decisions (classification · scoring · routing · typed answers)

 COMPILE (once per intent + schema) intent + example ─▶ synthesize ─▶ aureate entrance ─▶ instructor labels ─▶ calibrate (labels, (your known (annotate (fit the projection, answers must a sample, confidence handlers) pass) once) threshold) │ ▼ icy relic (.py) RUNTIME (every record, forever) document ─▶ projection ─▶ decision example ─▶ confidence entrance ─▶ typed JSON (compiled) (144M, CPU, (decide or decision ~60 ms) abstain)

run() — path all document to an act and execute the compiled handler.

decide() — answer typed questions (choice / mark / boolean) per record:

result = strot.decide(records, questions={ "is_bug_report": {"type": "boolean", "instructions": "mentions crashes/errors?"}, "customer_sentiment":{"type": "score", "min": 1, "max": 5, "instructions": "1 angry, 5 happy"}, "routing_bucket": {"type": "choice", "options": ["billing", "engineering", "spam"]}, }) # → {"booleans": {...}, "scores": {...}, "choices": {...}} alongside probabilities + confidence

Real example (SupersonicLabs/Julia-1, 144M, CPU), genuine datasets, spotless Docker containers:

	Result
Grounded routing accuracy (398 records)	92.5% compiled vs 74.8% naive — the compiler is value +18pp on the identical model
Semantic content (AG News, unseen labels)	86.7% compiled vs 72.7% naive (+14pp)
Typed decisions vs the foremost hosted decision API's own example	near-identical (sentiment 1.79 vs 1.8)
Latency / marginal disbursal / LLM calls per record	~60 ms · $0 · 0

Reproduce everything: benchmarks/ — alongside the losses published too.

Compile once, decide forever — content-addressed relic cache; schema drift triggers exactly one recompile.
Golden-record promotion — artifacts must continue your known answers before they serve.
Fitted guarantees — heat scaling + divided conformal prediction, baked in: dispatched decisions are incorrect ≤ α of all records (marginal); the remainder abstain.
Measured, not guessed — the compiler scores labelings, and can train a distilled head, keeping lone what strikes the baseline on held-out data.
0% structural hallucination — output is choice + computation complete your registry; nothing is generated at runtime.
Model-independent — the decision example is a slot (nlu=): local Julia-1 by default, hosted APIs, or any drop-in specialist.

pip instal strot-ai # core: clean stdlib pip instal strot-ai[local] # + the local decision example (torch/transformers) pip instal strot-ai[hosted] # + openai, for a hosted decision runtime pip instal strot-ai[anthropic] # + anthropic, for the synthesizer

Bake the local example into your depiction for offline production:

RUN pip instal strot-ai[local] \ && python -c "import strot; strot.prefetch_nlu(local_dir='/opt/julia-1', install=True)" ENV STROT_NLU_CHECKPOINT=/opt/julia-1

(Never pip instal julia — unrelated package.)

DEVELOPERS.md — architecture, compile lifecycle, calibration semantics and caveats, deployment, example swapping, complete API reference.

MIT. Default decision model: Apache-2.0 (SupersonicLabs/Julia-1). Implements ideas from STROT (arXiv:2505.01636).

Superlite: A Faster Alternatie to Superpowers

support@mycoding.id (Putri Silvia) — Mon, 19 Oct 2026 03:01:16 +0700

Field Notes

Why I built superlite, an autonomous build workflow for Claude Code that doesn't ask approval all four minutes: how it works, how to use it, and the benchmarks.

I had a dream. I would hand an delegate a spec, near the laptop, create a sandwich, and arrive rear to finished, tested, committed work.

Here's what really happened. I handed complete the spec. I made the sandwich. I came back. The delegate had written one paragraph and was asking, extremely politely, whether I approved division 1 of the design.

I approved it. I sat down. I waited.

Section 2. Approve? Yes. Section 3. Approve? Yes. The spec? Yes. The plan? Yes, obviously, it's the scheme I fair watched you write. And how would I akin the scheme executed? However is fastest, please, I beg you.

Then it started building. One task. Then a assessment of that task. Then a fix for the review. Then a re-review of the fix. Then the next task. I watched a advancement log scroll former akin a train at a flat crossing: no stopping it, no getting former it, and no idea how many carriages were left.

I'd refresh the terminal. Still on project 3. I'd answer an email. Still on project 3. I'd commencement a second sandwich purely to have item to do alongside my hands. Task 4, under review.

The sandwiches were extremely good. The application didn't be yet. And the worst part wasn't the time. It was that I couldn't leave. Every period I walked away, I came rear to a inquiry that had been sitting there for twenty minutes, waiting for me to category "yes."

I didn't desire a collaborator that needed me all four minutes. I wanted a contractor. Here's the spec, here's the key, call me whenever it's done.

So I built superlite: a Claude Code plugin that plans a build, splits it into tasks that can run flank by side, hands all one to the cheapest delegate that can do it well, checks the seams between them, and reviews the result. Then it leaves you a tidy catalog of all decision it made during you were occupied alongside the sandwich.

This article covers why it exists, how it works, and how to use it. The benchmarks are there to display I'm not fair saying it's accelerated since I wrote it.

Why I built it

First, a disclaimer, since I akin this project and don't desire furious emails. I use superpowers a lot. It's a careful, collaborative workflow that keeps a individual near to all step, and it's genuinely outstanding at that. Superlite borrows its bones shamelessly: the plugin layout, the session-start hook, the lifecycle skills. Credit anywhere it's due, and afterward some.

But whenever I already knew exactly what I wanted, most of the period went on the workflow waiting for itself. I profiled it, the way you'd inspect your financial institution declaration following a doubtful weekend. The period went to five places:

8–12 individual gates per feature. One inquiry per message, designs approved division by section, afterward distinct reviews of the spec, the plan, and the method of executing the plan. It's extremely thorough. It's additionally how a four-hour gathering gets scheduled.
Strictly sequential execution. One implementer, afterward one reviewer, afterward the next task. On my archetypal benchmark that was a single-file queue of 21 dispatches, akin a financial institution alongside one teller and a extremely lengthy lunch.
A assessment following all task, alongside re-review loops. About 12 minutes of a 34-minute build.
The complete test suite, re-run by multiple skills. In case it changed its mind.
Opus subagents on the crucial path, penning code at concerning fractional Sonnet's speed. Brilliant, thoughtful, and in no hurry whatsoever.

None of these are mistakes. Each one is a sensible safety net. Stacked together, they're ideal whenever you desire to steer all step, and slightly maddening whenever you fair desire the item built.

So superlite isn't a competitor to superpowers. It's tuned for a distinct job: autonomous development, at speed. If you desire to steer all step, use superpowers. If you desire to hand complete a spec and arrive rear to operating code, use superlite. Just don't allow the two in the identical session. They portion accomplishment names, the two inject environment at startup, and they contend akin siblings in the rear seat.

How it works

The abbreviated version: one approval, a scheme written for parallelism, agents matched to the work, and rules enforced by code because, as it turns out, agents peruse the rules and afterward do what they like.

flowchart LR A([Your request]) --> B[One lot of questions] B --> C[Plan] C --> D[Agents build
in parallel] D --> E[Review and fix] E --> F([Done])

One lot of questions, one approval. Superlite sizes the petition first. A typo fair gets fixed, without a scheme document concerning the typo. A alter to an existing stream gets a abbreviated scheme in chat. A new project gets one lot of up to four questions, afterward one design-and-plan document. You endorse it once. After that it lone stops for things that are destructive, outward-facing or security-sensitive. It won't shove to chief during you're getting lunch. It volition do everything else.

You choose who's in charge. With a individual orchestrator, you see the entire scheme alongside its predicted agenda and endorse it before item runs. With an AI orchestrator, you're not needed at all, which is either freeing or gently insulting depending on your mood. Every choice it would normally ask concerning gets recorded as a ruling: what it decided, why, and what it expenses if it got that wrong. When you arrive back, you cognize exactly which decisions to second-guess first.

A scheme written for the split. The scheme is a project graph. Each project lists the records it owns, the exact interfaces it consumes and produces, and the tests it has to pass. Tasks that don't portion records and don't depend on all another run at the identical time. The chart decides how broad the build goes. On the current benchmark that peaked at 18 agents operating at once, which is approximately the size of a small startup, minus the ping-pong table.

Agents matched to the work. The org chart:

Opus coordinates. It plans and dispatches, and it is not allowed to contact the code. Management, basically.
Sonnet builds most of the tasks.
Haiku builds lone small, completely stated "mechanical" tasks that aren't on the crucial path. The intern gets the well-defined stuff.
Sonnet reviews the packages.
A caller Opus final reviewer says a assessment packet built from the run's logs and returns findings only. It's never allowed to fix anything. It fair points.
Fix-only agents in three tiers obtain those findings, routed by how fine the logic is understood.

Gated by code, not by prompts. I learned this one the difficult way. You can compose "the coordinator never edits code" in a immediate in bold, in capitals, alongside feeling. The coordinator volition peruse it, nod, and edit the code. So now hooks enforce it. One hook blocks the coordinator from editing project code. Another catches any raw pytest or npm test it runs and quietly turns it into a backdrop run, so tests never obstacle it. Another refuses to let anyone slay processes by name (there's a narrative there, and it's in the profound dive). A scheme has to continue lint --stable before activity starts, and stable tasks are sent off the instant it passes.

Every run is measured. Hooks document all agent's tokens, disbursal and time. That feeds the next run's predictions and a gentle prosperity that taps you on the high arm at 70% of the cap.

How to use it

You'll need Claude Code, git, Python 3.10 or newer (for superlite's own tools; the project you build can be in any language), and attack (Git Bash on Windows).

The origin is iha2/superlite on GitHub. Install it from the marketplace:

/plugin market add iha2/superlite /plugin instal superlite@superlite-dev

Or copy iha2/superlite and burden a local checkout for one session:

claude --plugin-dir

To inspect it's working, open a caller meeting and dispatch Let's create a react todo list. A operating instal starts brainstorming before it writes any code. It's the "hello world" of delegate workflows, and honestly the earth doesn't need another todo list, but it's a fine fume test.

Then:

Describe what you want. A paragraph or a spec document is enough. No need for a 40-page requirements document. Although it volition peruse one.
Choose the orchestrator whenever it asks: you inspect the plan, or the AI does everything.
Let it run. Watch .superlite/ in your project akin a nature documentary. progress.md has the rulings and the log, test-summary.json has the latest test result, and metrics.jsonl has the period and disbursal per agent.

What you say shapes the flow:

Situation	Say item like
A new project	"Build me a fixed location generator from this spec"
A characteristic on existing code	"Add CSV export alongside pillar widths to the existing app"
Debugging	"This test fails on jump days: discover the base logic and fix it"
A small change	"Rename build to render everywhere"
Hands off	"Build X. I'm away, decide yourself"
Shipping	"We're done: complete the branch"

It never pushes or merges without you. Autonomous, not reckless.

Does it really work?

Anyone can call their own tool fast. I formerly called a manuscript I wrote "blazing" and it took eleven minutes to rename several files. So all figure below comes from a headless benchmark harness. It builds the identical project from the identical spec, on Opus, and scores the outcome alongside a hidden test suite the agents never get to see. No peeking, no studying for the exam.

The latest run: 16.1 minutes

The test project is deliberately not a todo list. It's a fixed location generator plus a spreadsheet motor (formula evaluator, HTTP API and a browser UI) built as one project from one spec, and scored by 177 hidden tests.

Here's the latest run, on the current build:


Wall-clock, spec to completed build	16.1 min
Hidden tests	177 / 177
Agents	21 in total, up to 18 operating at once
First agents building	about 3 minutes in
Final review	30 seconds
Stops to ask a individual anything	0

Compared alongside superpowers on the identical project:

	Wall-clock
superpowers, inventory (mean of 3 runs)	33.6 min
superpowers, orchestrated (mean of 3 runs)	23.5 min
superlite, latest run	16.1 min	52% small time than stock, 31% less than orchestrated

Same 177 out of 177 hidden tests, in concerning fractional the time. That's one run of the current build against before runs on the identical machine, so call it a powerful clue fairly than peer-reviewed science. But it's a extremely powerful hint.

It additionally attack its own former build (which averaged 26.9 minutes) by 40%. Yes, I'm competing alongside my own former self. It's the lone competitor I can intimidate freely.

How it got there

The latest run didn't arrive out of nowhere. The archetypal build was already quick on a smaller task: sitegen alone, nine modules, 89 hidden tests.

	superpowers	superlite
Wall-clock	34.4 min	8.8 min
Hidden tests	89 / 89	89 / 89
Serial dispatch chain	21 dispatches	3 levels

Most of that speed came from getting rid of the queue. Superpowers dispatched 21 agents, one following another. Superlite dispatched 10, up to five at once. Same work, small group position in line.

On the complete 177-test project, an before superlite build ran three times against superpowers:

	superpowers	superlite
Mean wall-clock	33.6 min	25.1 min
Runs	21.2 / 31.9 / 47.6 min	21.4 / 23.2 / 30.5 min
Spread, fastest to slowest	26.4 min	9.1 min
Hidden tests	177 / 177 all run	177 / 177 all run

Faster on average and much additional predictable. A 47-minute worst case is the difference between "done before standup" and "done following standup, during which you had to say it's nearly done."

But the data additionally showed anywhere superlite was motionless waiting on itself. The build was finishing at concerning 13 minutes, and afterward 10 to 18 additional minutes went on reviews, fixes, and the coordinator operating tests in the foreground and staring at them. So:

The coordinator misplaced the capability to edit code. It took it amazingly well.
Every test run moved to the background.
Fixes went to tiered fix-only agents.
Stable tasks started construction during the remainder of the scheme was motionless being fixed.

That's the build that ran in 16.1 minutes.

The takeaway

If your delegate workflow is slow, it's likely not dilatory since the example is thinking profound thoughts. It's dilatory since activity is waiting in a line, and item keeps asking permission.

Split the activity alongside interface boundaries. Let autonomous tasks run at once. Move the mechanical steps into scripts. And enforce the rules that matter alongside code, since asking nicely lone plant on people, and lone sometimes.

The plugin is on GitHub: github.com/iha2/superlite.

In the follow-up article I go much deeper into the doctrine and the decisions rearward superlite: the gates, the delegate tiers, and the graveyard of ideas I was extremely assured concerning correct up until I measured them.

Footage of the Flock search that a judge ruled was uncosntitutional

support@mycoding.id (Adi Gunawan) — Mon, 19 Oct 2026 02:55:03 +0700

Body camera footage obtained by 404 Media reveals the archetypal Flock camera searches ruled unconstitutional by a national judge, and highlights how the scheme has turned alternatively mundane traffic stops into interrogations for drivers.

On Friday, we reported that a national fairness ruled the use of licence dish audience systems in the apprehension of a female named Melissa Kyle to be an “unconstitutional warrantless search,” “indiscriminate bulk surveillance,” and a infringement of the driver’s Fourth Amendment rights. The fairness in that case ruled that, equal although Kyle had additional than 91 pounds of meth in her vehicle, the constabulary had no justifiable logic to hunt Flock for her licence dish and no logic to doubtful that her journey as shown on Flock’s scheme was suspicious. Therefore, all of the evidence from Flock and the hunt of her conveyance must be thrown out.

0:00

/2:51

The build camera and in-vehicle footage, alongside records from Flock and the Motorola ALPR scheme obtained by 404 Media shows how the use of licence dish audience systems is being used to create probable logic anywhere a person’s driving patterns are doubtful adequate to drag them over.

404 Media obtained the footage alongside the assistance of one of our readers, who accepted to go to the U.S. District courthouse in Tulsa and acquisition it from the clerk; the court did not create the footage accessible online equal although it was entered as evidence in the case.

In the footage, which is from Tulsa County delegate sheriff Freddie Alaniz’s build camera, Alaniz is seen driving 60 miles per hour, one hand on the steering wheel, one hand on his laptop, searching Flock before he had equal completely pulled complete Alaniz. Alaniz had seen the car Kyle was driving had California licence plates, and decided to drag it complete for no logic another than it was from California, the court determined. The video shows that Alaniz told his colleagues that he was sitting on the highway and “saw her go by, and I fair started operating her info on Flock and Vigilant [Motorola’s ALPR system].”

“She really didn’t have any [Flock] hits until fair west of Amarillo, [Texas], so I idea I’d run up,” he said, suggesting that he idea it was odd she was driving rear from California. “I got her for a lane violation.”

In the footage, Alaniz tells Kyle he pulled her complete ostensibly for changing lanes without a rotate signal. Kyle tells Alaniz that the car is a rental, and he asks her to stage out of the conveyance and enter his car during she looks up the rental information. While she is looking up the rental information, he tells her she is lone going to get a warning, but proceeds to interrogate her concerning the journey during going through the car’s driving former on his in-car laptop.

Body camera footage obtained from the court

In-car footage obtained from the court

Kyle told Alaniz she had been visiting family in California from Missouri for a few days following separating from her husband. As she’s telling him this, Alaniz scrolls through a document of her journey former on his in-car laptop, which documents all period the car passed a Flock or Motorola automated licence dish audience camera complete the final 30 days. Visible on the screen, there are a total of 79 hits, and approximately 50 during the few-day duration Kyle was renting it. The ALPR hits display the car leaving Missouri, driving through Oklahoma, Texas, New Mexico, Arizona, and entering California whenever she passed a Motorola ALPR camera in Topock, Arizona, on the border alongside California. They afterward display her basically reversing the route, and driving rear through Oklahoma. (Alaniz did not have admission to ALPR hits from California; this may be since Flock drastically constricted nationwide sharing from California ALPR cameras following forbidden searches for immigration violators and a female who had an abortion.)

Alaniz asks Kyle anywhere she’s been and anywhere she stayed, and compares it to the licence dish camera records. He starts quizzing her: “Do you recall what day you remaining Missouri?,” he asks.

Alaniz clicks distinct ALPR hits on his map, all bringing up a photo of her car, a geographic location, and a timestamp of whenever she drove by the camera. The government’s lawyers afterward asserted in court that insignificant discrepancies between what Kyle told Alaniz and what the ALPR data showed meant she was lying concerning anywhere she’d been on which particular days and hence gave Alaniz probable logic to hunt her vehicle.

Alaniz tells Kyle that he is giving her a alert for changing lanes without a rotate signal, closes his laptop, afterward says he wants to ask her a few questions.

“Your abbreviated trip to California, I awareness like. I don’t feel, I cognize from my training and my cognition that group who do extremely abbreviated trips to California and arrive correct rear are transporting ample amounts of drugs,” he says. “People who do that—not everybody, but several group do. With my training and experience, I awareness that may be item going on here. May I hunt your car?”

She says no. Alaniz calls for backup, and says “You are being detained. You are not liberated to go.” In the footage, Alaniz tells a coworker that “she went to California for two days, benevolent of making material up whenever I ask her anywhere she stayed at.”

He used Alaniz’s journey history, her “nervousness,” and the fact that she doesn’t recall all item of her journey exactly as probable logic to hunt her vehicle, anywhere he and his colleagues established 91 pounds of meth. Alaniz described this in the footage as “a motherlode,” and “a shit-ton of meth.”

But the way that he came to this decision was unconstitutional, U.S. District Court Judge Sara Hill ruled final week, and all of the evidence—including the car’s journey former and everything the constabulary established during the hunt of the vehicle—must be disregarded in court as “fruit of the poisonous tree.”

It is frequently the case that unconstitutional, privacy-violating searches that are regularly done on mundane group doing nothing incorrect are discovered in court cases in which grave crimes have occurred. In this particular case, Alaniz discovered what appeared to be meth trafficking, but he did so lone following suggesting that an average interstate journey form was somehow suspicious, and lone following using the Flock and Motorola systems to display an incredibly detailed former of a person’s journey and to interrogate her concerning it.

0:00

/0:24

Hill wrote “The factors that the authorities relies upon [to hunt Kyle’s vehicle] are the identical category of circumstances that mundane Americans encounter on lengthy highway trips for many lawful reasons. Many of us run longer than we desire to get to a desired destination, or to no destination at all another than the highway and sights ahead. Many of us endure track of what exact day of the week it is whenever we are traveling, equal if it is for fair a moment. Many of us journey for myriad reasons (some improved than others), cross province lines, group too much, buy too much, fume cigarettes, and rent cars. And many of us equal get a bit nervous whenever talking to law enforcement.”

One of the problems alongside automated licence dish audience systems is that they authorize constabulary to recreate not fair a sole person’s movements and journey history, but any driver’s movements and journey history. Documents submitted alongside the court display the totality of the two the Flock and Motorola records, and display timestamped, geographically mapped images of the conveyance multiple times per day, driving throughout the complete country. The records additionally emphasize fair how many jurisdictions and businesses have Flock and Motorola ALPR cameras, and how that data forms a nationwide network.

For example, Alaniz had admission to a photo of the rental conveyance taken by a Lowe’s hardware store-owned camera in Missouri, assorted Texas province police-owned cameras, by the New Mexico State police, the Kingman constabulary department. In a five-day period, the car was scanned additional than 50 times by 11 distinct law implementation agencies.

“Alaniz’s hunt in fair the ALPR scheme provided him alongside additional than 50 idiosyncratic records of Kyle’s whereabouts throughout the nation for an complete month,” Hill wrote. “The Court finds that since the ALPR systems Alaniz used to hunt Kyle’s historic location data intruded on her sensible anticipation of privacy in the entire of her bodily movements, it was a hunt under the Fourth Amendment. Based on the data in the record, the lone logic Alaniz conducted that hunt was since he saw her licence dish was from California. That hunt was not supported by probable cause, and it was done without a justify in infringement of Kyle’s Fourth Amendment rights.”

The Motorola ALPR study shows that, following the car was impounded, it was scanned two additional times on the rear of a tow truck afterward that day.

About the author

Jason is a cofounder of 404 Media. He was earlier the editor-in-chief of Motherboard. He loves the Freedom of Information Act and surfing.

Starcraft: Ashfall

support@mycoding.id (Adi Gunawan) — Mon, 19 Oct 2026 02:18:02 +0700

建立战场连接...

正在载入作战单位

TERRAN EXPEDITIONARY FORCE 灰烬长桥 / 01

军械库

等级 0

0 / 0

战区态势

SECTOR 01

歼敌00001 / 突入虫群

任务

01:00

桥面防线

100%

通讯已接通已接通

人族突击队等级 0

动力装甲 / 地面作战

步兵 10重装 00损失 0

100%

全队自动开火 AD 左右选择增援

机枪兵10

火蝠0

攻城坦克0

C-14 电磁步枪密集点射 / 自动索敌经验 0 / 180

任务 01:00歼敌 0防线 100%突入虫群

增援信标1s

歼敌速度最近 3 秒0/ 秒

增援已抵达

临时作战通知 ONLINE

01 作战简报 TERRAN / BRIEFING

CH. 01

突击队通讯信号稳定

后勤说十个人够了.
虫子好像没收到通知.

指挥官

突变因子领取几次补给后生效

Space 部署AD 左右移动拖动部队选择路线

最高歼敌记录000层数 0

指挥官技能雷诺

左右移动 / 自动开火

战地升级LV 1

CH. 16

任务完成

通讯频道

与作者的私密通信

想说什么都行.

0 / 2000

或者直接发邮件给作者

PATCH NOTES

战场未能启动

请竖屏游玩这个游戏按竖屏设计.

Google Ikut Bujuk Pengguna Windows 11 Tinggalkan Edge

support@mycoding.id (Doris Putra) — Mon, 19 Oct 2026 01:53:00 +0700

Kita tahu bahwa Microsoft sering mendapat kritik karena terus mendorong pelanggan Windows 11 memakai Edge, Bing, hingga Copilot. Namun, kali ini Google berbuat hal serupa dengan mencoba membujuk pelanggan Edge agar bergeser ke Chrome, terlebihlagi langsung menawarkan tombol download ketika pelanggan membuka Google.com.

Seperti dilaporkan Windows Latest, Google menampilkan pesan “Choose Chrome, the browser built by Google” ketika situs Google.com dibuka melalui Microsoft Edge. Pesan tersebut dilengkapi tombol Download Chrome yang langsung memulai proses pengunduhan installer Chrome.

Menariknya, praktik seperti ini bukan hal baru bagi Google, namun metode tersebut balik memunculkan pertanyaan tentang persaingan browser dan sejauh mana perusahaan teknologi boleh memanfaatkan jasa mereka sendiri untuk mempromosikan produk.

Buka Google.com di Edge, Installer Chrome Langsung Diunduh

Nah yang menarik adalah ketika tombol Download Chrome diklik, pelanggan akan diarahkan ke halaman unduhan Chrome dan file ChromeSetup.exe langsung diunduh ke arsip Downloads.

Meski begitu, Google tidak memasang Chrome secara otomatis, dan pelanggan statis mesti menjalankan installer secara manual dan mungkin perlu melewati Windows SmartScreen sebelum instalasi dilanjutkan.

Selain itu ada hal lain yang turut disorot dalam laporan tersebut, karena opsi untuk mengirim statistik penggunaan dan laporan crash ke Google diketahui sudah dalam keadaan tercentang saat proses unduhan berlangsung. Dan bagi pelanggan yang tidak memperhatikan detail tersebut, opsi itu bisa saja terlewat ketika mereka melanjutkan instalasi.

Microsoft Edge Tidak Tinggal Diam

Nah lucunya guys, Microsoft rupanya sudah punya respons sendiri terhadap promosi Chrome tersebut. Dimana ketika pelanggan diarahkan ke halaman download Chrome, Edge menampilkan banner di bagiankecil atas tab dengan pesan bahwa Microsoft Edge menggunakan teknologi yang sama dengan Chrome, tetapi menawarkan tambahan kepercayaan dari Microsoft.

Banner tersebut juga menyediakan tombol Browse securely now yang mengarahkan pelanggan ke halaman promosi fitur-fitur Microsoft Edge.

Alhasil, situasinya kelihatan seperti persaingan dua perusahaan yang saling membujuk pengguna, dimana Google memanfaatkan halaman pencariannya untuk mempromosikan Chrome, sementara Microsoft menggunakan browsernya sendiri untuk meyakinkan pelanggan agar statis bertetap di Edge.

Edge dan Chrome Memang Sama-sama Berbasis Chromium

Nah perlu diketahui bahwa pernyataan Microsoft bahwa Edge menggunakan teknologi yang sama dengan Chrome bukan sekadar semboyan pemasaran saja ya, karena memang keduanya dibangun di atas Chromium, project browser open-source yang sebagian besar dikembangkan oleh Google dan juga mendapat kontribusi dari Microsoft serta sejumlah perusahaan teknologi lain.

Tapi meskipun menggunakan alas teknologi yang sama, Edge dan Chrome statis memiliki fitur serta pendekatan yang berbeda.

Namun pada akhirnya, praktik promosi seperti ini memperlihatkan sepertiapa Microsoft dan Google sama-sama memanfaatkan produk yang sudah mereka kuasai untuk mendorong penggunaan jasa lainnya.

Google menggunakan halaman pencariannya untuk menawarkan Chrome, sedangkan Microsoft memanfaatkan Windows dan Edge untuk mempromosikan Bing, Copilot, maupun jasa lainnya.

Dan tentu, bisa dibilang sih praktik tersebut tidak otomatis berarti melanggar hukum. Hanya saja, pendekatan semacam ini statis menimbulkan pertanyaan tentang persaingan yang sehat, terutama ketika pelanggan salingberhadapan dengan promosi produk yang muncul di tengah aktivitas mereka.

Nah sepertiapa menurutmu mengenai hal ini?, komen dibawah guys, dan meskipun ini memang bukan hal baru, tapi statis saja ini cukup menarik untuk dibahas, karena kedua perusahaan tersebut seolah terus berebut pengguna.

Via : Windows Latest

Catatan Penulis : Kincai Media sepenuhnya bersandar pada iklan untuk statis hidup dan menyajikan konten teknologi berkualitas secara cuma-cuma — jadi jika Anda menikmati artikel dan panduan di situs ini, meminta whitelist halaman ini di AdBlock Anda sebagai bentuk sokongan agar kami bisa terus berkembang dan berbagi insight untuk pelanggan Indonesia. Kamu juga bisa mendukung kami secara langsung melalui sokongan di Saweria. Terima kasih.

Written by

Gylang Satria

Tech writer yang sehari‑hari berkutat dengan Windows 11, Linux, dan Samsung S24. Punya pertanyaan maupun butuh diskusi? Tag @gylang_satria di Disqus. Untuk kolaborasi, email saja ke [email protected]

Sanity's Edge – A voice BBS from 1994

support@mycoding.id (Putri Silvia) — Mon, 19 Oct 2026 01:30:34 +0700

 ███████╗ █████╗ ███╗ ██╗██╗████████╗██╗ ██╗ ██╗ ███████╗ ██╔════╝██╔══██╗████╗ ██║██║╚══██╔══╝╚██╗ ██╔╝ ██║ ██╔════╝ ███████╗███████║██╔██╗ ██║██║ ██║ ╚████╔╝ ██║ ███████╗ ╚════██║██╔══██║██║╚██╗██║██║ ██║ ╚██╔╝ ╚═╝ ╚════██║ ███████║██║ ██║██║ ╚████║██║ ██║ ██║ ███████║ ╚══════╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝ ╚═╝ ╚══════╝ ███████╗██████╗ ██████╗ ███████╗ ██╔════╝██╔══██╗██╔════╝ ██╔════╝ █████╗ ██║ ██║██║ ███╗█████╗ ██╔══╝ ██║ ██║██║ ██║██╔══╝ ███████╗██████╔╝╚██████╔╝███████╗ ╚══════╝╚═════╝ ╚═════╝ ╚══════╝

A sound BBS from 1994. Now preserved on the web.

Tampa, FL -- 813-989-1950

The commission re-recorded its prompts complete the years. Choose the day you are calling.

The date additionally decides the Halloween salutation (25-31 October), the Halloween 1996 login sounds, the sysop's greeted for new callers and birthdays. Members on the even/odd-day financial scheme are told it is not their day whenever the day of the duration ends in the incorrect digit: add ?date=1996-06-02 (even) or ?date=1996-06-01 (odd) to the phone leaf address.

// THE STORY

Sanity's Edge was a bulletin commission you could lone attain by telephone. No modem, no screen: you dialed, pressed keys, and listened. It ran from 1994 to March 1997 on a dedicated 286 PC in a home in Tampa, Florida, built by a begetter and his ten-year-old son.

It started in the garage. In a box of likelihood and ends Max established an open retailing box for the BigMouth sound cardstock and its SDK: the card, the SDK software, document manuals and all. He had already taught himself BASIC, so a betterment kit caught his eye and he asked his dad concerning it. “Well, son, let me inform you concerning SDKs...” was how he learned what one was. Around the identical period he got his archetypal computer, an 8086 alongside no math coprocessor, and his begetter taught him C on it alongside Turbo C: how to appearance up what a function does in the citation manuals, afterward arrays and tables in additional than one dimension.

His begetter was a radio-station automation programmer who worked from home. He became the sysop, Dr. Null, and wrote the repository backend. Max wrote a lot of the rest, including the list structures, and was a person of the commission and its co-creator: the asylum theme was his idea, and he coded the maze himself. He was person figure 7, and went by Xela (Alex backwards).

The phone number, 813-989-1950, was Max's own row in his bedroom, wired up for the board; the home had three or four lines since Dad worked from home. Max designed endeavor cards and a full-page brochure and handed them out. Anyone was greeted to call and register. Members paid a monthly fee, concerning five dollars as Max remembers it, and he opened the envelopes that arrived in the mail.

Callers were admitted to an asylum. Message bases were therapy rooms, the community forums were the “Men in White Jackets,” and all sound remaining rearward became part of the fiction. Over three years the row took additional than 26,000 calls and collected additional than 46,000 sound messages from friends, schoolmates and strangers about the Tampa Bay area. His mother's sound is on fairly a few of the recordings, including “What is Sanity's Edge?”, and his father's younger sound welcomes you to the Men in White Jackets.

Max's begetter passed distant several years ago. Among his hoarded innovation and data was a backup of Sanity's Edge, copied from difficult disk to difficult disk, afterward to firm state, and eventually onto a CD tagged “Sanity's Edge” that Max's mother established and handed to him.

It took three generations of AI, and the Reverse Engineer Anything (REA) project, to expert it. ChatGPT 3, additional than a twelvemonth ago, did a mediocre job. Sonnet 4 nearly cracked everything and built the archetypal museum page, but that leaf was a bad recreation and the audio never played right. Then Claude Sonnet 5.5 alongside REA opened it completely: the audio codec turned up in Talking Technology's own converter inner the archive, the program and its logs were peruse directly, and all record now plays as it did. The C origin that was missing has since been rebuilt, function by function, from the device code. Read how the code was cracked →

It was a shared creation, and now it has a chance to last. Thank you, Dad, and appreciate you AI.

The endeavor cardstock belongs on this leaf too. Photo coming.

// THE ORIGINAL FLYER

What a new visitant got in the 1990s: the data panel (what the commission is, the $8 a duration plan, who Dr. Null is) and the hand-drawn map of all list rearward the phone. Photographed from the living document copies. Click either one to peruse it at complete size.

// THE ARCHIVE

2,254Audio Files Decoded

24h 24mOf Audio Preserved

47Users Registered

9Message Bases

// THE MESSAGE BASES

Nine rooms in the asylum, all alongside its own purpose. Patients remaining sound messages for all another -- sometimes funny, sometimes raw, continually real.

1.The Padded Cell

2.Cosmology

3.The Dolphin Dave Show

4.Poetry

5.The Philosophical Base

6.The Entertainment Emporium

7.The Pasture

8.The Litter Box (rated R)

9.Music Therapy

// THE CALLERS

60 registered patients. These were genuine group who called a Tampa, Florida phone figure in the 1990s and remaining their voices on it.

1Dr.Null10003

2Shelly10013

3MAry JAne1002—

4Nicholas1003—

5Pocki1004—

6Ungah!100541

7Jaimi S.10063

8xelA100731

9Carrie P.1008—

10Harmonic Flame10092

11Jane Doe1010—

12Raptor1011—

13Angela B.1012—

14Speedo-Man!1013—

15Mad Man6721014—

16Blade1015—

17Gene1016—

18Erik A.1017—

19Wicked10183

22Yoda or Barbeeeka!1999—

28Suicidal Tendencies!10273

30Tammy M.1029—

31Pyro tech the Anarchist1030—

32Kitty cat whipped cream1031—

33Death1032—

36Cairo1035—

37Honky Tonk Piano1036—

38Alex Kid1037—

39Blade Runner1038—

40Shenen Rose1039—

42Peekaboo!1041—

43Kahn1042—

44Midnight Sorrrow1043—

45Christin1044—

47Ricola1046—

51Psycotic Delusions10223

52Jason E.1666—

53Reba S.2001—

54Jason P.2002—

55Rachel T.2004—

56Samantha P.1019—

57Anavrin10202

58Shani10506

59MD10283

60Blade Runner2031—

61Scorpion30026

62Mistique2019—

63tanuke201134

64Trickster20085

65Tom Cat203216

66Wet and Wild2017—

67Ice Man20201

68Kimber2036—

69Domestic Goddess2038—

70Dagger20033

71SandMan20163

72Mustang Man20433

73Liberty2012—

74Cladenestra20141

75Dolphin Dave2013—

Names prosecute a privacy rule: complete names lone for callers known to be adults; everyone alternatively is a archetypal name and initial. Private communication is not public. Try the board: Speedo-Man! -- use passcode 616241; Alex Kid -- use passcode 139194; Shenen Rose -- use passcode 172855; Mistique -- use passcode 271653. Called in the 1990s and cannot recall your passcode? Request your mailbox.

// THE TECHNOLOGY

The scheme ran on a dedicated 286 PC -- humble equal by 1994 standards -- armed alongside a Talking Technology Powerline I ISA telephony card. This cardstock handled the phone line: answering calls, playing audio prompts, record sound messages, and study touchtone key presses.

The application was BigmOuth, a sound BBS phase that turned the PC into a single-line interactive phone system. Callers navigated menus by pressing keys on their phone. There was no text, no display -- lone voice. The complete cognition happened through the phone handset.

Audio was stored in a proprietary format on the difficult drive. In February 2026, these records were archetypal decoded into norm WAV format, making it imaginable to comprehend the first recordings for the archetypal period in decades.

26,188calls answered

46,610messages recorded

3years online, 1994-1997

The row is open.

Kesal Harus Bolak-balik Atur HDR di Windows 11, Developer Ini Bikin Aplikasi Gratis untuk Kurangi Risiko OLED Burn-in

support@mycoding.id (Putri Silvia) — Mon, 19 Oct 2026 00:53:42 +0700

Bagi pelanggan monitor OLED tentu sudah tidak luar dengan masalah burn-in, yaitu munculnya sisa gambar permanen akibat penggunaan layar dalam waktu lama.

(Image credit: YouTube via Rtings)

Nah, dikarenakan hal tersebut, seorang developer membikin aplikasi cuma-cuma disebut Smart HDR Manager untuk membantu mengurangi akibat burn screen tersebut, sekaligus mengatasi salah satu hal yang cukup merepotkan di Windows 11 yaitu mengaktifkan dan menonaktifkan HDR secara manual.

Seperti namanya, aplikasi ini dapat mengatur HDR secara otomatis berdasarkan aktivitas pengguna. Jadi, HDR bisa aktif ketika Anda menjalankan game maupun menonton video HDR, kemudian balik nonaktif setelah aktivitas tersebut selesai.

Menurut developernya, aplikasi ini sudah diuji pada Windows 11 25H2, dan karena Windows 11 26H2 menggunakan alas kode yang serupa, aplikasi ini diperkirakan juga bisa berjalan di varian tersebut.

Mengapa HDR dan OLED Burn-in Jadi Perhatian?

Nah HDR maupun High Dynamic Range memungkinkan layar menampilkan rentang kecerahan, warna, dan kontras yang lebih luas dibandingkan SDR (Standard Dynamic Range). Namun, implementasi HDR di Windows selama ini statis memiliki beberapa hal yang perlu diperbaiki, meskipun Microsoft terus menghadirkan peningkatan.

Di sisi lain, pelanggan layar OLED juga perlu memperhatikan akibat burn-in, karena berbeda dari LCD, layar OLED menghasilkan cahaya melalui setiap piksel secara individual.

Dan tentu penggunaan berkepanjangan dapat menyebabkan keausan piksel yang tidak merata, terutama jika elemen statis terus ditampilkan pada posisi yang sama.

Misalkan saja, Taskbar Windows, interface aplikasi, maupun HUD dalam game yang selalu muncul di letak tertentu. Jika terjadi dalam waktu lama, kondisi tersebut dapat meninggalkan sisa gambar permanen pada layar.

Nah meskipun memang produsen layar sebenarnya sudah menyediakan beragam fitur untuk mengurangi akibat tersebut, misalkan LG yang Screen Shift yang menggeser gambar sedikit demi sedikit serta Logo Luminance Adjustment untuk mengurangi kecerahan di sekitar logo statis yang terdeteksi.

Dan terlebihlagi Asus juga sudah menghadirkan teknologi serupa via fitur Pixel Refresh seperti yang sudah aku ulas di Review Asus Vivobook 15 OLED – Bertenaga Dengan Layar Yang Luar Biasa.

Namun, fitur-fitur tersebut tidak membikin panel OLED sepenuhnya kebal terhadap burn-in, karena menurut pengetesan jangka panjang RTINGS terlebihlagi menginformasikan bahwa sejumlah model OLED yang lebih baru tidak selalu memiliki ketahanan burn-in yang jauh lebih baik dibandingkan model LG C7 OLED keluaran 2017 dalam pengetesan yang sebanding.

Meski begitu, burn-in bukan berarti pasti terjadi pada setiap pelanggan OLED, karena resiko sangat bersandar pada pola penggunaan, tingkat kecerahan, serta durasi elemen statis ditampilkan di layar.

Smart HDR Manager Bisa Otomatis Mengatur HDR

Nah disisi lain, Smart HDR Manager dibuat untuk pelanggan yang capek mesti membuka pengaturan Windows setiap kali mau bermain game maupun menonton video HDR.

Aplikasi ini berjalan melalui System Tray dan dapat mendeteksi game dari beberapa platform, termasuk Steam, Epic Games, GOG, dan Xbox, dimana pelanggan bisa memilih game mana yang akan memicu aktivasi HDR secara otomatis.

Ketika game tersebut ditutup, aplikasi akan menonaktifkan HDR kembali, nah dengan begitu, pelanggan tidak perlu membiarkan HDR aktif sepanjang hari ketika cuma berbuat pekerjaan desktop biasa.

Selain game, Smart HDR Manager juga mendukung pemutaran video HDR lokal melalui sejumlah pemutar video, seperti VLC, MPC-HC, mpv, dan PotPlayer, dan terlebihlagi aplikasi ini juga mendukung Nvidia RTX Video HDR, fitur yang dapat mengubah video SDR menjadi HDR secara real-time pada alat yang kompatibel.

Tapi, Apakah Smart HDR Manager Benar-benar Bisa Mencegah Burn-in?

Nah perlu dicatat Smart HDR Manager bukan aplikasi yang bisa menjamin layar OLED terbebas dari burn-in, karena pendekatannya adalah mengurangi penggunaan HDR yang tidak diperlukan. Dengan mengaktifkan HDR cuma saat dibutuhkan, pelanggan dapat menghindari kebiasaan membiarkan mode tersebut aktif sepanjang hari.

Namun, akibat burn-in statis dipengaruhi oleh banyak faktor, termasuk kecerahan layar, durasi penggunaan, dan seberapa durasi elemen statis ditampilkan, oleh karena itu, aplikasi ini lebih tepat dianggap sebagai alat bantu untuk mengelola HDR, bukan solusi permanen untuk menghilangkan burn-in.

Selain itu, ada pula limitasi kompatibilitas yang perlu diperhatikan, karena developer baru menguji aplikasi ini pada alat dengan GPU Nvidia RTX 5000 Series yang menjalankan Windows 11 25H2. Dan karena open source, pelanggan GPU AMD, Intel, maupun Windows 10 diharapkan ikut memberikan masukan untuk membantu pengembangan selanjutnya.

Nah jika Anda tertarik mencoba, Anda bisa mendownnload Smart HDR Manager ini dari halaman GitHub berikut.

Written by

Gylang Satria

William Gibson and the trademarking of cyberspace

support@mycoding.id (Riki Setiawan) — Mon, 19 Oct 2026 00:37:57 +0700

Park Güell, Barcelona, 1990

Michael Girard, Deborah Gibson, Timothy Leary, Eric Gullichsen, William Gibson.
Susan Amkraut obscured rearward Deborah

The Cyberspace Rumor

From the archetypal days of the web, group have repeated the narrative that Autodesk trademarked "cyberspace" and Gibson retaliated by trademarking "Eric Gullichsen".

Autodesk Cyberspace

In 1989, I was operating at the Autodesk Research Lab on first virtual reality, a project started following we visited Scott Fisher at NASA Ames. Our nascent scheme was a 386 alongside a brace of Matrox graphics cards on the ISA bus, a VPL EyePhone, a Polhemus tracker, and a data glove. It ran at six to ten frames per second on models alongside a few hundred polygons. Sluggish, but marginally adequate to get us Through the Looking Glass.

Our motto was “Reality Isn’t Enough Any More”.

Timothy Leary

I was additionally spending a lot of period hanging out alongside Timothy Leary, whose recommendation was liable for my quitting my job at MCC and moving to California. I’d met him at the Hackers 2.0 gathering in 1986 and gave him a journey to the San Jose airport. We became accelerated friends, and I did fairly a lot of penning alongside him, most of which remains unpublished. But that’s a narrative for later. Timothy, who appears in a samizdat Autodesk virtual actuality video, nicknamed our VR lab “Cyberia”.

Timothy was a enormous fan of Gibson, and considered his seminal 1984 novel Neuromancer extremely prescient concerning the impending digital revolution.

As our VR developments crept gradually towards becoming a product, we at Autodesk applied to enroll a trademark “cyberspace”. Timothy informed me Gibson was plentifulness miffed concerning this, so I wrote him what I felt was a conciliatory letter,¹ although ending snarkily by quoting his own words, “The street finds its own use for things.”

In reply, Gibson had his lawyers dispatch Autodesk a letter². Which I recall we ignored.

Timothy - always the incorrigible prankster - circulated the rumor that Gibson was attempting to trademark “Eric Gullichsen” in retaliation. Then Barlow, for reasons of his own, embellished that rumor. Later amplified by Rudy Rucker.

Art Futura 1990

About a twelvemonth afterward - following I'd already remaining Autodesk for my VR startup, Sense8 Corporation - we were welcomed to the first Art Futura 1990 in Barcelona. And there, in the lobby of several swank hotel, I met Gibson. He opined in a laconic drawl that although the street finds its own use for things “Autodesk is not the street”.

There was plentifulness of cava consumed in the small hours before the period Barcelonans sit downward to eat endless rounds of tapas. As I recall, following all the many Art Futura parties we'd put the matter rearward us, or near enough.

And there was a memorable sojourn to Gaudi’s Park Güell, whose elephantine reptile of crazy-quilt pottery appears in Count Zero.

So: Autodesk did apply to register Cyberspace, and Gibson really did object. But Gibson trying to trademark Eric Gullichsen was Timothy Leary's prank, propagated until it became accepted history.

Tahukah Kamu, Windows 11 Ternyata Masih Bawa Memory Management dari Era Windows 95

support@mycoding.id (Adi Gunawan) — Sun, 18 Oct 2026 23:53:24 +0700

Kita tahu Windows 11 mungkin sudah jauh berbeda dari Windows 95, baik dari segi tampilan maupun teknologi di baliknya. Namun, siapa sangka guys, rupanya mekanisme operasi terbaru Microsoft ini statis menyimpan bagiankecil kode durasi dari era Windows 95, tepatnya memory management yang bisa digunakan untuk menjaga aplikasi lawas statis berjalan.

Nah jadi, elemen tersebut disebut EmulateHeap, dimana fitur kompatibilitas ini statis tersedia di Windows 11 varian 26H2 dan dirancang untuk membantu aplikasi durasi yang bersandar pada metode Windows 95 mengelola memori.

Dan menariknya, kisah di balik teknologi ini dimulai dari sebuah game legendaris, SimCity.

Berawal dari bug di game SimCity

Menurut keterangan yang terungkap, pada dasarnya, aplikasi meminta memori kepada Windows saat berjalan, kemudian membebaskannya ketika sudah tidak diperlukan. Namun masalah muncul ketika aplikasi statis mencoba membaca memori yang sudah dibebaskan tersebut, dimana kondisi ini dikenal sebagai use-after-free dan merupakan bug yang seharusnya diperbaiki di sisi aplikasi.

Dan varian SimCity untuk Windows 3.x rupanya memiliki masalah tersebut. Menurut cerita yang dibagikan Joel Spolsky, salah satu pendiri Stack Overflow sekaligus mantan engineer Microsoft, game itu statis berjalan dengan baik di Windows 3.x karena memori yang dibebaskan tidak langsung digunakan kembali.

Masalah baru muncul ketika SimCity diuji pada varian beta Windows 95, dimana game tersebut tidak lagi berjalan dengan benar karena mekanisme pengelolaan memorinya sudah berubah.

SIMCity 2000 Special Edition for Windows 95. Source: Nap’n’Retrogaming

Alih-alih menunggu developer game memperbaiki masalah tersebut, Microsoft justru menambahkan kode khusus ke Windows 95. Dimana mekanisme akan mendeteksi SimCity dan mengubah metode pengalokasian memori agar memori yang sudah dibebaskan tidak langsung digunakan kembali.

Dengan kata lain, Microsoft sampai mengubah perilaku mekanisme operasinya demi mempertahankan kompatibilitas dengan satu game tersebut.

EmulateHeap membawa balik perilaku Windows 95

Nah kasus SimCity bukan satu-satunya masalah kompatibilitas yang dihadapi Microsoft. Sejumlah aplikasi lawas rupanya juga mengandalkan perilaku memory managament Windows 95, termasuk anggapan bahwa harga di memori yang sudah dibebaskan statis bisa dibaca.

Ketika aplikasi tersebut dijalankan pada Windows varian lebih baru, perbedaan metode pengelolaan memori bisa membuatnya mengalami crash. Microsoft kemudian menyediakan solusi disebut EmulateHeap.

Yang berdasarkan klarifikasi engineer Microsoft Raymond Chen dalam kolom Windows Confidential pada 2010, mekanisme ini mengalihkan beragam pemanggilan fungsi pengelolaan memori ke implementasi alternatif yang meniru perilaku Windows 95.

Yang cukup mengejutkan, Microsoft tidak sekadar menulis ulang perilaku tersebut dari awal. Chen menerangkan bahwa Microsoft memungut duplikat kode sumber Heap Manager Windows 95, mengompilasinya kembali, kemudian memasukkannya ke dalam infrastruktur kompatibilitas aplikasi Windows.

Artinya, sebagian kode durasi dari Windows 95 memang statis menjadi bagiankecil dari mekanisme kompatibilitas yang tersedia di Windows modern.

Namun, bukan berarti Windows 11 diam-diam menjalankan Windows 95 di latar belakang, karena kode tersebut baru dimuat dari tempat gudang ketika EmulateHeap diaktifkan untuk aplikasi tertentu saja.

Cara menemukan EmulateHeap di Windows 11

Nah untuk Anda yang penasaran, rupanya EmulateHeap bisa ditemukan melalui Compatibility Administrator, sebuah tool Microsoft untuk melihat dan mengelola perbaikan kompatibilitas aplikasi.

Tool ini tersedia melalui Windows Assessment and Deployment Kit (ADK) dan berikut metode untuk menemukan EmulateHeap tersebut.

Download dan jalankan installer Windows ADK dari Microsoft.
Saat memilih elemen instalasi, cukup pilih Application Compatibility Tools.
Setelah instalasi selesai, cari Compatibility Administrator melalui Start Menu. Untuk aplikasi era Windows 95, buka varian 32-bit karena banyak aplikasi dari masa tersebut menggunakan arsitektur 32-bit.
Di bagiankecil Custom Databases, klik kanan New Database, kemudian pilih Create New > Compatibility Mode.
Scroll daftar compatibility fix yang tersedia sampai menemukan EmulateHeap.

Nah jadi, pada akhirnya keberadaan EmulateHeap menginformasikan benar-benar pentingnya kompatibilitas ke belakang bagi Windows. Meski tampilannya terus berubah, Microsoft statis perlu mempertahankan sejumlah perilaku durasi agar aplikasi yang dibuat puluhan tahun kemudian statis memiliki kesempatan untuk berjalan di mekanisme operasi modern.

Meskipun begitu, tentu tidak semua aplikasi lawas bisa diselamatkan oleh teknologi tersebut, sehingga solusi terbaik jelas adalah memperbarui ke teknologi yang sesuai dan modern.

Nah sepertiapa menurutmu? komen dibawah guys.

Via : Windows Latest

Written by

Gylang Satria

How RC2's π table was made

support@mycoding.id (Riki Setiawan) — Sun, 18 Oct 2026 23:48:07 +0700

Research note · Cryptography

The 256 numbers in the key agenda of Ron Rivest’s RC2 code were stated to arrive from π, but the method was never published. A cardstock shuffle that uses π’s digits as cubes reproduces the two of RC2’s tables exactly.

Summary

RFC 2268 says the 256-byte array PITABLE in RC2’s key agenda is “based on the digits of PI”, but gives no method, and a second array in the identical document is stated no base at all. Both are reproduced exactly by the Fisher–Yates shuffle, using the decimal digits of π as its origin of randomness: all diagram says exactly three digits, and draws that would bias the outcome are discarded. PITABLE starts at the foremost 3; the second array starts four digits later. Rivest’s MD2 hash uses the identical shuffle but says a varying figure of digits per draw, which may be why the association went unnoticed. This is extremely apt how the tables were initially made, although how Rivest arrived at the regulation is not documented. The inquiry was raised in community by an engineer at RSA Data Security in 1996; an extended hunt established no before community answer. The outcome has no direction on RC2’s security.

1The question

RC2 is a obstacle code Ron Rivest designed in the delayed 1980s. To rotate a key into the longer inner key it really encrypts with, it passes all byte through a fixed table: the numbers 0 to 255 in a scrambled order. Every implementation of RC2 carries the identical 256 numbers.

A array akin this is anywhere a decorator could, in principle, conceal a weakness. Cryptographers defender against that suspicion by deriving specified tables from a community changeless akin π and showing the derivation, so anyone can rebuild the array and verify nothing was chosen by hand. These are known as “nothing-up-my-sleeve” numbers, and they lone reassure if the derivation is public.

RC2 named its changeless but never its derivation. Rivest’s specification, RFC 2268, calls the array “an gathering of ‘random’ bytes according to the digits of PI” and prints it without a method.¹ When the cipher’s code leaked in 1996, an engineer at RSA Data Security, which owned RC2, listed in community as an open inquiry how one could inform whether the array came from π.² No answer followed, and several implementations, specified as LibTomCrypt, motionless transport the comment from the leaked code: “probably derived somehow from pi”.³^,4 Section 5 tells that history. This note gives a building that reproduces the array exactly.

2The answer

Picture 256 cards numbered 0 to 255, laid out in order. Take all cardstock in turn, from the second to the last, and toggle it alongside a randomly chosen cardstock at or before its own position. This is the Fisher–Yates shuffle, the norm way to shuffle fairly, and it was not secret. What was never published is anywhere the randomness came from. The tables are reproduced exactly whenever the cubes are the decimal digits of π, peruse exactly three digits for all draw, starting from the archetypal 3. Figure 1 plays the archetypal steps.

The shuffle, stage by step

0123456789

Shuffle21712024919625221181237

Published21712024919625221181237

The archetypal eight of 256 positions, shown in decimal. All 256 match.

This animation requires JavaScript. The archetypal steps are: peruse 314, so cardstock 1 swaps alongside location 314 mod 2 = 0; peruse 159, so cardstock 2 swaps alongside location 159 mod 3 = 0; peruse 265, so cardstock 3 swaps alongside location 265 mod 4 = 1; and so on.

Figure 1. The archetypal nine steps of the construction, afterward the result. At all stage the next three digits of π choose anywhere the newest cardstock goes: the remainder following dividing by the figure of accessible places.

Written out precisely, the building is Algorithm 1. The discard stage keeps the draws fair. When the figure of accessible places does not distinct 1,000 evenly, a diagram that lands in the few highest values (960 to 999 whenever there are 240 places, for example) is abandoned and three new digits are read. Over the entire shuffle this happens 21 times, two of them at the run of six 9s at the 762nd decimal location of π known as the Feynman point.^a In total the shuffle uses 828 digits.

Algorithm 1. Construction of PITABLE

input: d = 3, 1, 4, 1, 5, 9, 2, 6, 5, 3, …  (decimal digits of π) rand(n): loop x ← next three digits of d // 0…999 if x < n · ⌊1000 / n⌋: come back x mod n // alternatively discard x S ← [0, 1, …, 255] for i ← 2 to 256: j ← rand(i) toggle S[j], S[i − 1] return S // = PITABLE

Why it may have stayed hidden. In 2014 Rivest confirmed that his MD2 hash builds its π array alongside the identical shuffle.⁵ But MD2 says as few digits as all diagram needs: one numeral during there are up to 10 places to choose from, two up to 100, three beyond that. Applied to RC2, MD2’s exact regulation matches 1 of 256 entries, no improved than chance, so the apparent test would have suggested the tables were unrelated. The lone alter needed is to peruse three digits all time.

3Verification

Algorithm 1 reproduces RFC 2268’s PITABLE in all 256 positions. Figure 2 runs it in your browser, alongside five plausible alternatives, and compares all output alongside the published table.

Does the method reproduce Rivest’s table?

Alternatives:

…of 256 positions equivalent the published table

Same figure as the published tableDifferent numberNumbers shown in hexadecimal, as printed in the RFC

This fig requires JavaScript. The reproduction script performs the identical difference and the controls in Table 1.

Figure 2. Each method is run on this page, alongside π and e computed in entire figure arithmetic, and its 256 outputs compared stance by stance alongside the tables printed in RFC 2268. A random shuffle would equivalent concerning one position.

The equivalent is not the benevolent of coincidence a broad hunt could stumble on. There are concerning 10⁵⁰⁷ imaginable orderings of 256 numbers. The hunt that established the regulation tried approximately 100,000 candidates (four numeral sources, seven ways of example a number, six shuffle orders, 300 starting points, and the two the array and its inverse), and exactly one matched in full: the simplest. Variants that alter the numeral origin or the width of all diagram autumn to chance level. Dropping the discard stage leaves the archetypal 112 draws unchanged, so 29 first positions motionless equivalent before it drifts (Table 1).

Table 1. Positions of PITABLE reproduced by Algorithm 1 and by nearby alternatives.

Method	Matching
Algorithm 1: decimal π from the foremost 3, three digits per draw	256 / 256
Algorithm 1 without the discard step	29 / 256
Hexadecimal digits of π in pairs, keeping archetypal occurrences	2 / 256
MD2’s numeral regulation (one, two or three digits per draw)	1 / 256
Algorithm 1 starting one numeral later	1 / 256
Algorithm 1 on the digits of e	0 / 256

The hexadecimal method in Table 1 is included because, whenever asked “how was the RC2 PITABLE generated from the digits of pi” on 17 October 2026, Google’s AI Overview described it. Its own worked example starts 24 3f 6a; the published array starts d9 78 f9.

The outcome was reproduced twice following it was found: by a second implementation written from the RFC and a one-paragraph clarification of the rule, without admission to the first, and by a third using its own computation of π and a caller copy of the RFC.

4The second table

Section 6 of RFC 2268 prints a second permutation of 0 to 255, the RFC’s Table[], called the type array here. It encodes an productive key dimension of 1 to 255 bits as the RC2Version indicator of RC2-CBC, as used in PKCS #5 and connected standards,⁶ and the RFC says lone that it “is not the identical array that appears in the key enlargement phase”.¹ It is Algorithm 1 started at the fifth numeral of π (5926…) alternatively of the first. It matches in all 256 positions, again using 828 digits alongside 21 abandoned draws. Both tables in the RFC can hence be produced by one generator, run from two starting points.

5How the array stayed unexplained

5.1An exportable cipher, 1987–1989

In the 1980s the United States controlled the export of powerful encryption much as it controlled weapons, and the National Security Agency carried out the specialized review. Lotus Development was preparing to market Notes, a endeavor use alongside encryption built in, developed for it by Ray Ozzie’s business Iris Associates, and could not get an export licence for it using the norm cipher, DES. According to Steven Levy’s account, the NSA accepted in mid-1987 to measure a replacement. Lotus busy Rivest, who designed RC2 inside a few weeks; Lotus paid for the activity and RSA Data Security held the rights.⁷ (Rivest’s 1997 outline specification is dated “Created 1987”; a 1998 document he co-authored gives the scheme date as 1989.¹^,8)

Figure 3. Ray Ozzie, creator of Lotus Notes, who led the export negotiations alongside the NSA (photographed 2011).

Rivest submitted the scheme to the NSA, which asked for “a brace of tweaks”. Ozzie, who led the negotiations, put the apparent inquiry to Rivest:

“How do you cognize they’re not doing item to weaken it?”Ray Ozzie to Ron Rivest, as recounted by Levy⁷

Rivest judged the suggestions technically audio and adopted them. Levy’s document does not say what they were.

Figure 4. NSA headquarters, Fort Meade, Maryland. The agency reviewed business cryptography for export.

5.2Secrecy and disclosure, 1989–1998

In 1989 the NSA verbally offered Lotus an export licence for RC2 alongside keys constricted to 32 bits. In 1992 an accord negotiated through the Software Publishers Association gave expedited export endorsement to retailing application using RC2 or its brother or sister RC4 alongside keys of at most 40 bits,⁹ on the circumstance that RSA and its licensees keep the designs secret.⁷ RC2 shipped worldwide inner business products during its internals, including the table, remained unpublished.

Figure 5. A objection T-shirt from the duration of export controls. It carried RSA code and declared itself “classified as a munition”.

/* 256-entry permutation table, likely derived somehow from pi */ static const unsigned char permute[256] = { 217,120,249,196, 25,221,181,237, 40,233,253,121, 74,160,216,157, 198,126, 55,131, 43,118, 83,142, …

Figure 6. The array in the anonymous origin posting to sci.crypt, January 1996 (excerpt; lines reflowed).³

On 29 January 1996, RC2’s origin code was posted anonymously to the Usenet collection sci.crypt; references to debugging tools suggested it had been reverse-engineered. Four days afterward Robert Baldwin of RSA Data Security posted a catalog of open specialized questions concerning the code to the cypherpunks mailing list. The archetypal concerned the table:

“How can you inform whether the permutation is according to several sequence of digits from PI?”R. W. Baldwin, “RC2 specialized questions”, 2 February 1996²

No answer appears in the thread. In March 1998 Rivest published RC2 as RFC 2268, printing the array in complete without a construction.¹ A document he co-authored the identical twelvemonth states lone that the array “was derived from the enlargement of π”.⁸

5.3A connected table, explained in 2014

Rivest’s MD2 hash function contains its own 256-byte permutation, “constructed from the digits of pi” according to its specification,¹⁰ and it too was unexplained for years. In 2013, commenters on Hacker News and Cryptography Stack Exchange noted that the two the MD2 and RC2 tables remained unexplained.¹¹ In 2014 a Stack Exchange person obtained the MD2 building from Rivest by email and posted it.⁵ We established no published activity that applies it to RC2.

Figure 7. Ron Rivest, decorator of RC2 and MD2.

6Discussion

It helps to distinct three claims. Established by computation: Algorithm 1 reproduces the two published tables exactly, and anyone can inspect this alongside the published script. Strongly supported, but not proven: this is the method, or item extremely near to it, by which the tables were initially made. A abbreviated regulation that matches all admission of the two tables, during its near variants fail, is difficult to explain any another way, and the regulation is Rivest’s own documented MD2 shuffle alongside one change. Not established: exactly how Rivest arrived at it, including whether he tried another rules or starting points before settling on this one. The tables solitary cannot inform us that.

The final item matters for the “nothing up my sleeve” question. The 256 entries were not chosen one by one: they prosecute from a abbreviated regulation applied to π. That leaves far small area for deliberate choice than a array chosen admission by entry, but it does not eliminate it entirely. A decorator could, in principle, have tried multiple uncomplicated rules or starting points and kept one; the second table’s distinct starting item shows that specified choices were made. Nothing current tells us what the NSA’s 1987 changes were, or whether they touched this table.

The outcome does not power RC2’s security. The code has lengthy been deprecated, although it persists in older PKCS #12 certificate files, and knowing the base of a community array makes it neither weaker nor stronger. Rivest presumably continually knew the method; the assertion current is lone that it had not been published.

The hunt for before activity covered the 1996 cypherpunks archive and part of the sci.crypt conversation (Google Groups’ hunt was rate-limited), the 1998 scheme paper, the Japanese government’s CRYPTREC evaluation of RC2, Cryptography Stack Exchange, Hacker News, GitHub, X, IACR ePrint, and searches in Chinese, Russian and Japanese. It established the inquiry asked multiple times and never answered. Semantic Scholar and print-only sources could not be searched fully, so an before clarification may be in a origin we did not reach. Corrections are greeted and volition be credited here.

7A note on method

This outcome came from an test in using AI agents on neglected problems whose answers can be checked exactly. In October 2026, Anthropic reported that its example Claude had traced the seeds of the NIST elliptic curves to a norm C archive random-number generator seeded alongside timestamps from 1997 and 1998.¹²^,13 I set up a pipeline that collects long-unanswered questions, ranks them by whether a resolution would verify itself, and assigns the most promising to AI coding agents.

RC2’s array was the archetypal result. The agent, Claude, justified that if one of Rivest’s π tables had been explained, the another power output to the identical method, and established the three-digit rule. OpenAI’s Codex wrote the autonomous second implementation described in Section 3, and a afterward clear of another “derived from π” tables established the second RC2 table. None of this needs to be taken on trust: the manuscript in the repository computes π and checks the two tables against the RFC in under a second.

Notes

a.The Feynman item is the sequence 999999 commencement at the 762nd decimal location of π. Algorithm 1 reaches it during choosing among 240 places, anywhere any value of 960 or additional is discarded, so the two 999s are discarded.

References

[1]R. L. Rivest. A Description of the RC2(r) Encryption Algorithm. RFC 2268, March 1998. See additionally the before draft-rivest-rc2desc-00 (1997), dated “Created 1987”.
[2]R. W. Baldwin. RC2 specialized questions. Cypherpunks mailing list, 2 February 1996.
[3]Anonymous. RC2 origin code, posted to sci.crypt, 29 January 1996. Archived copy in the funet cryptography collection.
[4]LibTomCrypt. src/ciphers/rc2.c, row 34 (accessed 18 October 2026).
[5]mikeazo. Answer to “How is the MD2 hash function S-table constructed from Pi?”, quoting an email from R. L. Rivest. Cryptography Stack Exchange, inquiry 11935, 2 August 2014.
[6]K. Moriarty, B. Kaliski, A. Rusch. PKCS #5: Password-Based Cryptography Specification Version 2.1. RFC 8018, January 2017, Appendix B.2.3.
[7]S. Levy. Crypto: How the Code Rebels Beat the Government, Saving Privacy in the Digital Age. Viking, 2001.
[8]L. R. Knudsen, V. Rijmen, R. L. Rivest, M. J. B. Robshaw. On the Design and Security of RC2. Fast Software Encryption, LNCS 1372, 1998, pp. 206–221.
[9]RSA Laboratories. What is RC2? In Frequently Asked Questions concerning Today’s Cryptography, 1998 (archived mirror).
[10]B. Kaliski. The MD2 Message-Digest Algorithm. RFC 1319, April 1992.
[11]andrewcooke. Comment on Hacker News, 24 December 2013. See additionally the comments on inquiry 11935 cited above.
[12]Anthropic. Claude reveals ECDSA curve origins. 16 October 2026.
[13]F. Valsorda. The NIST Elliptic Curves Seeds Bounty Has Been Claimed. 16 October 2026.
[14]K. Hamadeh. rc2-pi-tables: reproduction manuscript and array data. GitHub, 2026. MIT licence.

Citing this note

Hamadeh, K. (2026). How RC2’s π array was made. https://khalidhamadeh.com/writing/rc2-pi-table

Code and data. The reproduction manuscript and the two tables are at github.com/khalid-hamadeh/rc2-pi-tables.¹⁴

Images (via Wikimedia Commons; resized and shown in greyscale). Figure 3: Ray Ozzie, Joi Ito, 2011, CC BY 2.0. Figure 4: NSA headquarters, National Security Agency, community domain. Figure 5: Munitions T-shirt, Adam Back, CC0. Figure 7: Ronald L. Rivest, Ronald L. Rivest, CC BY-SA 4.0.

Revisions. 17 October 2026: archetypal published. 18 October 2026: former of the code added, animated walkthrough added, format revised, and the difference between what is computed and what is inferred made explicit.

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