Claudable – OpenSource Lovable that runs locally with Claude Code

Hacker News

Hey, HN! I'm Aaron. I built an open-source Lovable for Claude Code users. Platforms like Lovable, Replit Agent, and Bolt require separate API keys and $25+/month subscriptions. But if you’re already subscribed to Claude Pro or Cursor, you can use those plans directly without extra costs. Claudable runs entirely locally through Claude Code (Cursor CLI also supported) and provides: - Instant UI preview (similar to Lovable) - Web-optimized, production-ready designs - Direct Git integration - One-click Vercel deployment - Zero additional API costs It’s open source and available today. I’m actively developing it and would love community feedback on what features to prioritize next. GitHub: https://github.com/opactorai/Claudable Happy to answer any questions!

Visit product View on Hacker NewsAug 21, 2025

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

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: para · 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: month, users, para · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription, active · Missing: arr, mrr, revenue

20%20% 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.

Incorrect prediction on native model

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