Chat Mode for Hacker News (Live Comments Updater)

Hacker News

This is a userscript that you can use with Tampermonkey, or paste it to JS console. I generated it with o1-preview, simply by pasting the HTML source of a HN page to the prompt and asking it to make a comment updating script. And it worked flawlessly — great job, OpenAI! I'm impressed. What a time to be alive! The prompt: https://chatgpt.com/share/66eb36c5-a55c-8005-9ee1-d42770297d... The script fetches new comments every 10 seconds and inserts them to a proper place in the DOM, highlighting them with a nice color. With this script, HN feels like a realtime chat in busy fresh posts! No more need to refresh the page. Enjoy, fellow HN readers!

Visit product View on Hacker NewsSep 18, 2024

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Actual performance

6points

Did not reach leaderboard

Launch Intel predictions

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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.

best fitHighest predicted score across all platforms for this description.

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

59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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

13%13% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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