Actual performance
1upvotes
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto47%47% 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive26%26% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting11%11% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Micro_Habits_Tracker47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
digital product
Indie HackersDigital product14%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Digital Nomads
Indie HackersPr
Product Substitutes49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Product Substitutes
Hacker News3Te
Tensor product analogy – functional currying52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tensor product analogy – functional currying
Hacker News8Ev
Every Product OneLiner at Once49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Every Product OneLiner at Once
Hacker News3A
A Parody of our Product49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Parody of our Product
Hacker News4Ou
Our last product, favmonster49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Our last product, favmonster
Hacker News1My
My First Micropublishing Product — ABCs of Strawberries49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My First Micropublishing Product — ABCs of Strawberries
Hacker News2Sp
Spectre - Our product from Angelhack Seattle43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Spectre - Our product from Angelhack Seattle
Hacker News1My
My first product All about CAPTCHA49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first product All about CAPTCHA
Hacker News1