Actual performance
6upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal49%49% predicted probability of success on TrustMRR, 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 released49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto40%40% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive33%33% 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, 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, macos11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Correct prediction on native model
Similar products
On
Only Fans50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Only Fans
Hacker News10Sqika19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Celebrity shout-outs for fans
Indie HackersPyram64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We help creators cultivate 1000 true fans
Indie Hackers1b2cPyram30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Helping creators cultivate 1000 true fans.
Indie HackersLo
Lorem Simpsum – A Lorem Ipsum Generator for Simpsons Fans41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lorem Simpsum – A Lorem Ipsum Generator for Simpsons Fans
Hacker News1Po
Poll Redis Stats to StatsD in Go43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Poll Redis Stats to StatsD in Go
Hacker News4Ur
Urbit crowdsale stats38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Urbit crowdsale stats
Hacker News1HN
HN-Stats44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HN-Stats
Hacker News9St
Stat Badger – Commodify Your Stats38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stat Badger – Commodify Your Stats
Hacker News2NB
NBA Name Stats23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NBA Name Stats
Hacker News1