Launch Intel
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News API

Hacker News

News API

The resources are transmitted via JSON responses. This was a bit of fun. API: {path:"/"}, {path:"/news"}, {path:"/news2"}, {path:"/newest"}, {path:"/newcomments"}, {path:"/ask"}, {path:"/x", uri: (req) -> "/x?fnid=#{req.query.fnid}" }, {path:"/user", uri: (req) -> "/user?id=#{req.query.id}" }, {path:"/item", uri: (req) -> "/item?id=#{req.query.id}"}, {path:"/submitted", uri: (req) -> "/submitted?id=#{req.query.id}"}, {path:"/threads", uri: (req) -> "/threads?id=#{req.query.id}"}], Source: https://github.com/blackjable/hackednews

Visit productView on Hacker NewsAug 1, 2013
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Actual performance

3points
5comments
Did not reach leaderboard

Launch Intel predictions

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TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, 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: user, new · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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