Re
Actual performance
10points
4comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto75%75% 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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting51%51% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Fi
Finac – Codecademy meets Finance58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Finac – Codecademy meets Finance
Hacker News3Tw
Twitter meets Craigslist. Built on Meteor.63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Twitter meets Craigslist. Built on Meteor.
Hacker News2Ka
Karmalert – Mention Tracking for HN, PH, Reddit and Twitter40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Karmalert – Mention Tracking for HN, PH, Reddit and Twitter
Hacker News4Ki
KingForADay – Reddit AMA's Meets Ethan Chat60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
KingForADay – Reddit AMA's Meets Ethan Chat
Hacker News12Tw
Twitter meets bookmarks56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Twitter meets bookmarks
Hacker News2Ho
Hot or not meets Twitter61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hot or not meets Twitter
Hacker News2So
Social Amnesia, wipe out your Reddit and Twitter account histories54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Social Amnesia, wipe out your Reddit and Twitter account histories
Hacker News2Ge
Geeki – a Reddit alternative in HN and Twitter style62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geeki – a Reddit alternative in HN and Twitter style
Hacker News2Ka
Karmalert.com » Mention Alerts from Reddit, Twitter, HN and PH39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Karmalert.com » Mention Alerts from Reddit, Twitter, HN and PH
Hacker News5Sq
Squabblr – A Twitter/Reddit hybrid platform37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Squabblr – A Twitter/Reddit hybrid platform
Hacker News24