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Sublime Text GPT-4 integration plugin

Hacker News

Sublime Text GPT-4 integration plugin

Hey HN! I've been working on a Sublime Text plugin for the OpenAI ChatGPT API[1]. This started as a personal project to experiment with GPT-3.5 models, long before the chat API even saw the light of day. Fast forward, it has evolved into a more robust developer assistant, particularly with the launch of the OpenAI chat API. And it seems to be getting some attention too, with nearly 1.5k organic installs over the past half year. Just pushed version 2.1.0 and it's got some hefty updates: - Server Streaming Event feature is now supported, opening the doors to GPT-4. - Also, got around to some major refactoring and I can confidently say the code isn't spaghetti anymore. Thought it's high time I shared this with the HN community. Feel free to take it for a spin, fork it or drop feature requests or bug reports. PRs on GitHub[2] are more than welcome too. While I can't guarantee to address every suggestion that comes my way (though PRs are always a priority), I'll definitely consider and respond to it. So go ahead, take it for a spin and let's see what you think! [1]: https://packagecontrol.io/packages/OpenAI%20completion [2]: https://github.com/yaroslavyaroslav/OpenAI-sublime-text

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, chatgpt · Missing: mac, agents, macos
86%86% 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: started · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
58%58% predicted probability of success on TrustMRR, 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
54%54% 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 · Missing: plus, platform, intuitive
41%41% 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
22%22% 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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