Hacker News GPT

Hacker News

Hacker News GPT

Just a personal experiment to build my first custom version of ChatGPT :) I'm spending too much time on this site, so it might ocasionally save me some scrolling and reading. Far from perfect and I'll continue to finetune it. I might even feed it with some classification data for each post, such as: Post: https://news.ycombinator.com/item?id=38167604 Categories: ["Health, Tech Gadgets, AI"] Comment Perspectives: - 3 Medical Innovation Appreciation - 1 Technical Analysis - 1 Limitations Acknowledgment Edit: Looks like OpenAI is having outages today and custom GPTs are only available for ChatGPT Pro users.

Visit product View on Hacker NewsNov 9, 2023

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Actual performance

11points

8comments

Made the leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

63%63% 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.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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 · Strong signals: users · Missing: plus, platform, intuitive

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% 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.

Correct prediction on native model

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