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Onetone – A PHP full-stack framework with AI runtime, ORM, CLI

Hacker News

Onetone – A PHP full-stack framework with AI runtime, ORM, CLI

Hey HN, I built Onetone Framework as a full-stack PHP framework that pushes the boundaries of what PHP can do. It’s fast, modular, and surprisingly capable — combining backend routing, ORM, CLI tooling, and frontend build support into a single developer-friendly experience. Highlights: - PHP 8.2+ with autowired routing and ActiveRecord-style ORM - Built-in CLI, Docker setup, and .env support - Frontend build pipeline with Vite, esbuild - Growing test suite covering routing, query building, crypto, math, UUID, and more It’s still experimental, but I’m excited about how far it’s come. Would love feedback on what feels over-engineered, what’s missing, and what could make it truly useful. GitHub: https://github.com/onetoneframework/framework

Visit productView on Hacker NewsOct 23, 2025
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, single · Missing: mac, agents, macos
76%76% 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.
Hacker NewsStrong engagement from HN community · Strong signals: excited, pipe · Missing: https docs, just released, exist
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% 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
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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