Use ChatGPT in Jupyter notebooks via a Chrome extension

Hacker News

Hello HN! Here's a browser extension that brings together two things that I love: Jupyter and ChatGPT. It makes it possible to have ChatGPT generate code inside your Jupyter notebooks. It has the side effect of making it really easy to save your ChatGPT sessions in a local notebook. I parse the ChatGPT response, extract it into code cells for you automatically so that you no longer have to copy and paste code from your browser into your favorite code editor like an animal. ChatGPT even wrote some of the code used in this extension! The extension [1] from user:wonderfuly forms the core of messaging with the ChatGPT service; it works great! All the other mistakes are mine and mine alone. I'm not a web dev, so I'm sure there's lots of horrible hacks and mistakes that I made while writing this extension. Help welcome. [1] https://news.ycombinator.com/item?id=33853773

Visit product View on Hacker NewsDec 12, 2022

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

90%90% 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: mistakes · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

64%64% 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

54%54% 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

45%45% 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

17%17% 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.

Incorrect prediction on native model

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