Pl
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto68%68% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos43%43% 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, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released34%34% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% 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, revenue32%32% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
yo
your own LinkedIn28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
your own LinkedIn
Hacker News2Th
The linkedin Killer28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The linkedin Killer
Hacker News2CakeResume55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LinkedIn for Asia
Indie Hackerscommitment-full-timeLinkAgent31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Linkedin Superpower
Indie Hackers
Linkedin Text Formatter35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Format the linkedin text
Product Hunt+3AI
AI LinkedIn Banners21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI LinkedIn Banners
Hacker News3JS
JSHint Gutter for Sublime Text 2 and 357%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
JSHint Gutter for Sublime Text 2 and 3
Hacker News3Ae
Aether, bittorrent for text53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Aether, bittorrent for text
Hacker News8As
Associative text patching in OCaml53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Associative text patching in OCaml
Hacker News2Ge
Get a text for concerts you should go to53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get a text for concerts you should go to
Hacker News2