Open Interpreter – CodeLlama in your terminal, executing code

Hacker News

Hey HN. Over the summer I built Open Interpreter, a CLI that lets you ask Code-Llama or GPT-4 to write/run code. It runs multiple languages (Python, Shell, HTML/CSS, Node JS rn) then sends the output back to the language model. It’s essentially an open-source, local implementation of OpenAI’s Code Interpreter. No limits on file size, runtime timeouts, or web access. Everything is streamed beautifully, rendered with Markdown, and syntax highlighted. Try it out and let me know what you tried! - Killian

Visit product View on Hacker NewsAug 30, 2023

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82points

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Made the leaderboard

Launch Intel predictions

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

97%97% 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.

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

75%75% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

22%22% 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

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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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