UseLLM – Easily integrate large language models in your React app

Hacker News

I'd like to share useLLM, an open-source library I've been working on to help developers easily integrate large language models like OpenAI's ChatGPT into their React applications. useLLM is a simple React hook, with a server-side API helper, that allows you to add LLM-powered functionality to your app with just a few lines of code. It also supports message streaming & custom prompt creation out of the box. You can try a live demo here: https://usellm.org/demo The library is under active development, and we welcome bug reports, feature requests, and contributions. It currently supports OpenAI's chat completions API, and we plan to add more language models and APIs soon. I'd be happy to answer any questions or discuss potential use cases.

Visit product View on Hacker NewsMay 11, 2023

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

92%92% 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: supports · Missing: created, podcasting, mistakes

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, just released, open source

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: api, ai, prompt · Missing: 000, profitable, 1m

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses

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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