LLM API proxy with API token rotation

Hacker News

Hey all I love Claude Code but was burning through my Anthropic credits way too fast. Wanted to hook it up to cheaper providers like OpenRouter, but Claude Code expects Anthropic's API format. So I built a simple proxy that sits in the middle - Claude Code thinks it's talking to Anthropic, but I'm actually hitting whatever LLM I want. Bonus: I had multiple API subscriptions sitting around, so I added key rotation to cycle through them all efficiently. Would be happy to get some feedback or suggestions to improve it.

Visit product View on Hacker NewsAug 19, 2025

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

93%93% 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: efficiently · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

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

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

31%31% 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 · Strong signals: subscription · Missing: arr, mrr, revenue

26%26% 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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