Actual performance
119upvotes
14comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto60%60% 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, macos38%38% 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 · 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% 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, revenue23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Po
Pokemon Sniffer – Rarest Pokemon Location56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pokemon Sniffer – Rarest Pokemon Location
Hacker News1Lo
Location Chatroom44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Location Chatroom
Hacker News1La
LazyScout - Zipcar for location scouting44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LazyScout - Zipcar for location scouting
Hacker News3Da
Dabble - Location based photo journal39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dabble - Location based photo journal
Hacker News12Judipkvgames8%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
era sekarang ini putus tidak terbilang tengah berapa banyak
Indie HackersGeoCam: GPS Photo Location57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Capture Your Favourite Moments with Time and Location!
Indie Hackers1photographyA
A website uploads a photo, and AI predicts its location31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A website uploads a photo, and AI predicts its location
Hacker News4now & here62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
video on location
Indie Hackers1eventsTo
Too Tacky – Anonymous location based photo sharing46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Too Tacky – Anonymous location based photo sharing
Hacker News1Je
Jest – Location Based Discussion32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jest – Location Based Discussion
Hacker News1