AI

AI-powered API that instantly obtains website information

Hacker News

AI-powered API that instantly obtains website information

I built SiteProfile(siteprofile.io) to simplify how we access detailed website information. The main feature of SiteProfile is that you can obtain all relevant website information with a single, simple API call. With one API call, you can immediately get the following information: 1.Real-time Webpage Screenshots Instantly capture real-time screenshots in both PC or Mobile views. 2. AI-Generated Content: Generate content based on user prompts and website data, e.g. Describe the core functions of this website. 3.Comprehensive Website Info: Social Media Links, Contact Info, Basic Details, and Assets, all in one place. With just this API, you can instantly create an ai directory or similar website. SiteProfile is currently in the testing phase. During this period, all subscriptions are discounted. There are still a few minor issues, and I’m working hard to fix them. If you try it out, please let me know if you found it useful, if you have anything you’d like me to add, or if you have any other feedback. And if you have any questions, I’d be happy to answer. Much appreciated.

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Actual performance

43points
42comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% 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, single · Missing: mac, agents, macos
84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, 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
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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 · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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