Gi
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto74%74% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · 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, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue31%31% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pr
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 News3Wo
Woond – Product aimed to overwhelm Procrastination65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Woond – Product aimed to overwhelm Procrastination
Hacker News2Ma
MakerPeak – Give your product the spotlight it deserves49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MakerPeak – Give your product the spotlight it deserves
Hacker News2A
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