Simple open-source cmd+b interface to OpenAI’s API

Hacker News

We got tired of searching both the chat and playground tabs of OpenAI every time we had a question, and quite annoyed when the free research preview did not work for a day. We searched for a simple interface to the chat API and found many paid extensions that sell buckets of queries for some $/mo, which there is no way we were gonna use, so we just built this. Note that this is a pre-release version. There’s obviously a lot to fix and polish, but we’ve used it a lot for the past couple of days, and even though many things don't work, we really enjoyed it (we stopped using https://chat.openai.com/chat ). Hope you'll enjoy it as well, any feedback is more than welcome :)

Visit product View on Hacker NewsMar 25, 2023

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4points

9comments

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Product HuntOn track for Day 1 leaderboard · Strong signals: openai, using, open · 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.

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

70%70% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

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

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

35%35% 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

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, paid · 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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