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A working GPT-generated Hacker News extension to highlight new comments

Hacker News

A working GPT-generated Hacker News extension to highlight new comments

I worked with ChatGPT to produce a very simple extension for Hacker News. Each commit contains my prompt in the commit message, and the commit is entirely composed of ChatGPT output (it took 25 prompts to get this repo to its current state) No files were changed at all from what ChatGPT suggested, but the `gpt-output` file is an append-only log of ChatGPT's verbatim output (so you can select any commit and see exactly what was prompted and what ChatGPT responded with) I'm using this extension now, and it works I was hoping to get a sense of whether ChatGPT could debug its own code, and fix bugs, and to my surprise, it can! I had to prompt it to tell me where to put debug messages, and then provide the error output of course.

Visit productView on Hacker NewsDec 6, 2022
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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, chatgpt, using · Missing: mac, agents, macos
84%84% 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 · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% 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
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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
6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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