Ma
Actual performance
6points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released66%66% 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, crypto50%50% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
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.
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 · Strong signals: active · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
THEO32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making AI truly understand your unique business nuances
Product Hunt+310SaaSMa
Making explainability algorithms more robust with GANs40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making explainability algorithms more robust with GANs
Hacker News2Ma
Making a Cypherpunk Loot Derivative52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making a Cypherpunk Loot Derivative
Hacker News4Ma
Making your standups more joyful with Zest52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making your standups more joyful with Zest
Hacker News4My
My Q&A with Neal Stephenson on making the Metaverse himself52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Q&A with Neal Stephenson on making the Metaverse himself
Hacker News5Ma
Making IBANs More Memorable52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making IBANs More Memorable
Hacker News2Yo
Your Expensive Lawyer Is Making Mistakes64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your Expensive Lawyer Is Making Mistakes
Hacker News13Ma
Making of an HTML5 cube timelapse64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making of an HTML5 cube timelapse
Hacker News4Kliques46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making transactions relational
Indie Hackerscommitment-side-projectthoughtfulcandles34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Making mens candles!
Indie Hackers2content