Bytepiper – turn .txt files into live APIs

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Hi HN, I built a small tool that converts API logic written in plain .txt files into real, executable PHP API endpoints. The motivation was personal: I can design and ship frontends quickly, but backend APIs (setup, boilerplate, deployment) always slowed down small projects and MVPs. I wanted a way to describe inputs, rules, and responses in text and get a working endpoint without worrying about infrastructure. This is early and opinionated. I’m especially interested in feedback around: trust and security concerns where this breaks down whether this is useful beyond prototypes Happy to answer questions about how it works.

Visit product View on Hacker NewsJan 26, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: apis, plain · Missing: mac, agents, macos

85%85% 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 · Missing: supports, reddit linkedin, podcasting

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

18%18% 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

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