Hacker News Summarizer (Chrome Extension)

Hacker News

Hello Hacker News community, We are excited to announce the release of our new Chrome extension, called "Hacker News Summarizer." The extension utilizes the OpenAI API to provide concise summaries of articles posted on Hacker News, enabling you to understand the main points without having to read the entire article. You don't need to log in or confirm your identity to use it either! Just install the extension and click on the "summary" link next to "comments" when you want to read an article. Please note that not all articles are currently supported or summarized, but we are working to add support for them in the future. Additionally, we want to clarify that this extension is not affiliated with OpenAI or Hacker News. You can find the Chrome extension at this link: https://chrome.google.com/webstore/detail/hacker-news-summar... We invite you to try out the extension and share your thoughts with us in the comments section below! Best regards, The Hacker News Summarizer team

Visit product View on Hacker NewsMar 28, 2023

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Actual performance

5points

2comments

Did not reach leaderboard

Launch Intel predictions

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

76%76% 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: google, new, openai · 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: excited, hacker news, ide · Missing: https docs, just released, exist

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

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% 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

15%15% 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

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