AnyLM – ChatGPT-Like UI for Local LLMs

Hacker News

Hey HN, I'm excited to share AnyLM, a desktop app I've been working on. I love tinkering with local LLMs (via Ollama and LMStudio) but often found myself wishing for a more polished, unified UI similar to what ChatGPT offers, where all my conversations are in one place. Out of that frustration I've built AnyLM, which aims to solve that by providing a single, native application (currently for Windows, with macOS and more planned) to interact with your local models from LM Studio/Ollama but also models from api providers like OpenAI, Anthropic and Google. This has been a fun (and challenging!) project. I'd be super grateful for any feedback, suggestions, or if you just want to try it out and let me know what you think!

Visit product View on Hacker NewsMay 27, 2025

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

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 · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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