I
Actual performance
3points
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto19%19% predicted probability of success on BetaList, 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.
Correct prediction on native model
Similar products
St
Startup MVP42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startup MVP
Hacker News1St
Startup Bakery – MVP as a service41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Startup Bakery – MVP as a service
Hacker News6We
We were tired of listening to crappy startup pitches, so created this36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We were tired of listening to crappy startup pitches, so created this
Hacker News2Bu
Building a startup with AI cofounder – day 23, getting close to the MVP55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Building a startup with AI cofounder – day 23, getting close to the MVP
Hacker News1Ne
NewsFreak: A newsreader I initially created for myself40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NewsFreak: A newsreader I initially created for myself
Hacker News1I
I created a toothbrush that docks and charges without wires42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I created a toothbrush that docks and charges without wires
Hacker News2I'
I'm tired of corrupt US politicians, so I created this38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I'm tired of corrupt US politicians, so I created this
Hacker News334Cr
Created Gapsly, Now What?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Created Gapsly, Now What?
Hacker News2My
My grandfather died so I created RIP35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My grandfather died so I created RIP
Hacker News1Wh
Why I created Picket35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Why I created Picket
Hacker News1