Actual performance
328upvotes
27comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto80%80% 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.
nativeThis product was originally launched on this platform.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% 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, revenue24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive21%21% 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, podcasting21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Me
Meet 3 taxi drivers in Cuba before you arrive. Hire the best one42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet 3 taxi drivers in Cuba before you arrive. Hire the best one
Hacker News3Hi
Hire an Oldster47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hire an Oldster
Hacker News475Ha
Have you been hire pwned?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Have you been hire pwned?
Hacker News3Hi
Hire-a-Cofounder65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hire-a-Cofounder
Hacker News3Me
Meet Dockship37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet Dockship
Hacker News52Me
Meet Geisha73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet Geisha
Hacker News33vizgenie33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No more PromQL headaches – Meet VizGenie
Indie Hackers1aiAllyhub76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Meet Ally — the AI that compounds.
Indie Hackerscommitment-full-timePlavist16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hire fast , Hire smartly
Indie Hackerscommitment-side-projectHi
Hire Dev – Where companies apply to individuals57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Hire Dev – Where companies apply to individuals
Hacker News1