Handoff-md – One command to generate portable AI context from any repo

Hacker News

Every time you switch AI models mid-project, the new model starts from zero. It doesn't know your stack, your conventions, or what you were working on five minutes ago. I built handoff-md to fix this. It's a CLI tool that analyzes your git repo and generates a single HANDOFF.md file. Paste it into any AI model and it instantly understands your project. What it does: - Parses git history (last 20 commits, branches, uncommitted changes) - Detects your stack (framework, ORM, DB, auth, deploy, test runner) - Reads naming conventions, folder structure, API patterns - Picks up existing AI config files (CLAUDE.md, .cursorrules, AGENTS.md) - Outputs a single markdown file, around 3000 tokens Usage: npx handoff-md No config, no API keys, no dependencies beyond Node.js and git. Works with Claude, GPT, Gemini, Codex, local models, anything that reads markdown. There's an open issue in Claude Code (#11455) requesting exactly this. Cursor, Windsurf, and Copilot don't have it either. So I built it as an open source CLI that works everywhere. Built with TypeScript. MIT licensed. Feedback welcome.

Visit product View on Hacker NewsFeb 27, 2026

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, cursor · Missing: mac, macos, apple

99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, open source, existing · Missing: https docs, excited, just released

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Prompt Bridge63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Keep AI Context Portable

Product Hunt+87Chrome Extensions

Portable SSL-Enabled IMAP and SMTP55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Portable SSL-Enabled IMAP and SMTP

Hacker News4

Folding Stool65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ALEVMOOM Portable Telescoping Collapsible Stool

Indie Hackers1$25,800/momarketing

Memsprout – share AI context with your teammates28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Memsprout – share AI context with your teammates

Hacker News2

I used the Regions repo to critique its own README.md25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I used the Regions repo to critique its own README.md

Hacker News2

Lem Ai (getlem.ai)45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The context engine for engineering teams

Indie Hackers1$10,000/mocommunication

FAF – The package.json for AI context (IANA registered)29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FAF – The package.json for AI context (IANA registered)

Hacker News1

ASCII Canvas for AI Context50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ASCII Canvas for AI Context

Hacker News2

RepoDoc – Generate a clean README.md for any GitHub repo using AI28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RepoDoc – Generate a clean README.md for any GitHub repo using AI

Hacker News2

CoreMem – Portable context for AI agents37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CoreMem – Portable context for AI agents

Hacker News5

Browse all products Analyze your launch