HN Summary – AI-generated summaries of Hacker News comments

Hacker News

Over the Easter weekend, I hacked together a little side project to solve a personal pain point: reading through massive Hacker News threads. I love HN and read it daily, but sometimes the most interesting posts have hundreds of comments. While the discussions are often gold, it’s hard to find the time (or the eye-ache/stamina) to read them all. So I built HN Summary. I used Cursor (using Gemini 2.5/Sonnet 3.5) for most of the work, and was able to get things going quite quickly (ps. I'm not a professional software developer but learnt how to code to an okay level). The tool gives you readable, nuanced summaries of the top HN stories and their comment threads. The app refreshes twice a day with summaries of the top 10 stories, and you can also request custom summaries of any HN thread (you get 12 free credits to start). The app is very much experimental, and some things may break, but I'd love feedback from the HN community. Let me know what you think, what you'd change, or if you've come across anything like it.

Visit product View on Hacker NewsApr 22, 2025

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

75%75% 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: cursor, new, gemini · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, 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

45%45% 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

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Hacker News with AI-generated summaries51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News with AI-generated summaries

Hacker News19

Summary of Hacker News comments45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Summary of Hacker News comments

Hacker News2

Hackercast – an AI-generated podcast summary of Hacker News50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hackercast – an AI-generated podcast summary of Hacker News

Hacker News3

Hacker News Telegraph: News generated from your comments68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News Telegraph: News generated from your comments

Hacker News1

Hacker News comments summary to telegram53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News comments summary to telegram

Hacker News2

Daily Summary of Hacker News Posts and Comments55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Daily Summary of Hacker News Posts and Comments

Hacker News5

Collapse Comments on Hacker News73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapse Comments on Hacker News

Hacker News93

Hacker News Comments73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News Comments

Hacker News189

Collapsible comments for Hacker News73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapsible comments for Hacker News

Hacker News1

WindChat-ChatGPT Summary for Hacker News45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WindChat-ChatGPT Summary for Hacker News

Hacker News2

Browse all products Analyze your launch