Jo
Actual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto57%57% 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 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal32%32% predicted probability of success on TrustMRR, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue27%27% 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, macos19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting8%8% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Pi
Pipy 0.30.066%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pipy 0.30.0
Hacker News7%%
%%30%30: A Game48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
%%30%30: A Game
Hacker News608I
I Made 30 Triangles in 30 Days55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Made 30 Triangles in 30 Days
Hacker News21Jo
Join us all on IRC58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Join us all on IRC
Hacker News2
Generalupdate11%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Join the glorious evolution
Product Hunt+9
Zealy11%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Join metay
Product Hunt+910
100 under 100 – For those of us that didn't get into Forbes 30 under 3047%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
100 under 100 – For those of us that didn't get into Forbes 30 under 30
Hacker News1
Octopus.do51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create a sitemap from any website in 30 sec!
Product Hunt+215Design Tools30
30 Days of Vue54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
30 Days of Vue
Hacker News630 Day GMAT Success65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How I scored 780 on the GMAT in 30 Days
Indie Hackers1$500/mob2c