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For years now Statvoo.com has been doing Website Analysis and Statistics, originally from it's Realtime Website Analytics origins over at https://analytics.statvoo.com to the overall stats it provides at https://statvoo.com. A new Statvoo Ranking system has been implemented on each site it analyses e.g. https://statvoo.com/website/news.ycombinator.com under the "Website Ranks & Scores" subsection. It combines numerous sources to come up with a final ranking system that is globally correct. This metric is now available through an API over at if you'd like to test it out: https://statvoo.com/api/?domain=news.ycombinator.com&rank=true It is also available as a Chrome Extension: https://chrome.google.com/webstore/detail/statvoo-website-valuation/fpgmelbdpbnlnhmgjiialmclenaiaadm Give it a try!

Visit productView on Hacker NewsApr 8, 2016
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3points
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% 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 HuntUnlikely to reach the leaderboard · Strong signals: google, new · Missing: mac, agents, macos
49%49% 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
40%40% 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
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, 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 · 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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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