Le
Learn to identify the birds at any location
Hacker NewsLearn to identify the birds at any location
Share cardActual performance
71points
5comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto58%58% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% 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, macos24%24% 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, intuitive19%19% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Mi
MicroSCOPE – identify ransomware statically with heuristics60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MicroSCOPE – identify ransomware statically with heuristics
Hacker News7Po
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 News3What's This Cloud58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learn to easily identify and classify clouds
Indie Hackers1$500/mocontentnow & 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 Hackers1eventsJe
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 News1Bl
Blockchainathons: one location for all crypto hackathons36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Blockchainathons: one location for all crypto hackathons
Hacker News2Ur
Urbany - The Ultimate Location Mashup40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Urbany - The Ultimate Location Mashup
Hacker News7Al
All your development badges in one location.43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
All your development badges in one location.
Hacker News2