Write one primary AI config file; Export it to all AI Coding Assistants

Hacker News

I made this free macOS app and want to see what y'all think: Simplify your AI assisted coding setup. Write one primary instruction file with 'Agent Smith' then easily export it to your Gemini, Claude, and Codex AI coding assistants. Simplify your AI-assisted coding setup. Write one master instruction file with Agent Smith, then export it directly to your project root for your Gemini, Claude, and Codex AI coding assistants to read. Agent Smith lets developers create unified configuration files for all their AI coding tools. Instead of maintaining multiple prompt templates or setup notes, you define a single “Master Instruction” file per project that standardizes your coding environment across assistants.

Visit product View on Hacker NewsOct 31, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

95%95% 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

65%65% 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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

19%19% 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

13%13% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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