Tw
Twerrific- Simple solution for a very simple problem
Hacker NewsTwerrific- Simple solution for a very simple problem
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive65%65% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released38%38% 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, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto34%34% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos13%13% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
A
A solution to 538's “an impromptu gambling problem”38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A solution to 538's “an impromptu gambling problem”
Hacker News1So
Solution to cart abandonment problem38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Solution to cart abandonment problem
Hacker News2To
TonyAlarm app – solution to your waking up problem32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TonyAlarm app – solution to your waking up problem
Hacker News1A
A simple solution to implement INotifyPropertyChanged in WPF52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A simple solution to implement INotifyPropertyChanged in WPF
Hacker News2We
We solved our own problem and pivoted to the solution w Google API43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We solved our own problem and pivoted to the solution w Google API
Hacker News3Go
Go-dutchflag – An implementation of the Dutch flag problem in Golang37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go-dutchflag – An implementation of the Dutch flag problem in Golang
Hacker News3Th
The AZ Problem39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The AZ Problem
Hacker News2So
Someone Else's Problem39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Someone Else's Problem
Hacker News1Th
The farmer, wolf, goat and cabbage problem39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The farmer, wolf, goat and cabbage problem
Hacker News1Th
The problem with the epsilon greedy method33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The problem with the epsilon greedy method
Hacker News22