Ev
Evaluate the performance of your neural net for object recognition
Hacker NewsEvaluate the performance of your neural net for object recognition
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
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.
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.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released47%47% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto46%46% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ob
Object Recognition – How good is your neural net?52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Recognition – How good is your neural net?
Hacker News7Cr
Crowdsourced Object Recognition41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crowdsourced Object Recognition
Hacker News77Ob
Object Detection – How good is your neural net?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection – How good is your neural net?
Hacker News1A
A distributed Neural Net using webRTC73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A distributed Neural Net using webRTC
Hacker News4Ma
Mapperly – A .NET source generator for object to object mappings39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mapperly – A .NET source generator for object to object mappings
Hacker News53Ne
Neural-fortran – A parallel neural net microframework57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Neural-fortran – A parallel neural net microframework
Hacker News6Cr
Critters with neural net brains coevolve to survive killer planks in JS58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Critters with neural net brains coevolve to survive killer planks in JS
Hacker News65Ne
Neural network digit recognition on a Game Boy68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Neural network digit recognition on a Game Boy
Hacker News2Mc
McCulloch and Pitts Neural Net Simulator60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
McCulloch and Pitts Neural Net Simulator
Hacker News2Tw
Two strange useless things to do with a neural net53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Two strange useless things to do with a neural net
Hacker News22