Running Claude Code using any LLMs? Here's an open-source tool for it

Hacker News

We recently built something useful if you want to run Claude Code with any LLMs. Forge is an open-source API layer that lets you mix Claude Code with any model – OpenAI, Gemini, Qwen, Moonshot, etc. Full flexibility without changing your app logic. You can mix-and-match models however you’d like. Our demo runs: Gemini 2.5 Flash as the fast, lightweight model Qwen3-Coder-480B as the more powerful planner and code generator But you can configure whatever combo works best for your use case. Forge offers better performance, lower costs, and full control with self-hosting options. You can find our quickstart repo here: https://github.com/TensorBlock/claude-code-forge Would love to hear your thoughts on this!

Visit product View on Hacker NewsJul 28, 2025

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

98%98% 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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% 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: host · Missing: plus, platform, intuitive

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% 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

21%21% 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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