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PapersLikeThisOne – Find relevant scientific articles
Hacker NewsPapersLikeThisOne – Find relevant scientific articles
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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto70%70% predicted probability of success on BetaList, 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 · Missing: mac, agents, macos56%56% 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 released48%48% 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, intuitive30%30% 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, podcasting29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal29%29% 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, revenue15%15% 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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Articles that can be summarised as 'no'54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Geolocate PLOS articles54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geolocate PLOS articles
Hacker News2Now I Get It!71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scientific articles, explained
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Find relevant/irrelevant files from SHA1 sums50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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The Pond – Find Relevant Cofounders and Startups57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Pond – Find Relevant Cofounders and Startups
Hacker News13Articles Submission Tracker 4 Trello31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Indie Hackers1analyticszyncli31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Illustration Generator for Articles | Zyncli
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Relevant 2.0 – A better GoogleNow for iOS, probably53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Relevant 2.0 – A better GoogleNow for iOS, probably
Hacker News2Imgy.dev28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
relevant placeholder images.
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