SummarizeGPT: Summarize any web page with one click

Hacker News

My friend and I have been working on SummarizeGPT, a Chrome extension based on chatGPT. We consume information a lot, so we built this tool that can instantly summarize any webpage's content. It uses the latest GPT to generate quick summaries of webpages in various formats: TL;DR, Short, or Detailed. Whether you're catching up on the news, researching topics, or browsing blogs, SummariseGPT ensures you get the gist of the content without significant time investment. We also built a contextual chat feature, allowing you to engage with any webpage and ask questions to get more information on the topic. We would love to hear your thoughts. Thank you!

Visit product View on Hacker NewsAug 10, 2023

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Actual performance

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Launch Intel predictions

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

81%81% 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

77%77% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · 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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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