Po
Actual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% 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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive34%34% 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, podcasting19%19% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ML
MLonFHIR: Fusing Sklearn with the HL7 FHIR Standard47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MLonFHIR: Fusing Sklearn with the HL7 FHIR Standard
Hacker News13Wr
Writebyte Standard47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Writebyte Standard
Hacker News1Gr
GraphQL standard and nested mutations at same time65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GraphQL standard and nested mutations at same time
Hacker News3We
Well Made podcast45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Well Made podcast
Hacker News2Fi
Find your next favourite podcast29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find your next favourite podcast
Hacker News4A
A podcast for socialist techies45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A podcast for socialist techies
Hacker News4Ba
Banter – Podcast Together45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Banter – Podcast Together
Hacker News1Se
Settled Afar Podcast40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Settled Afar Podcast
Hacker News6Wa
Wannabe Entrepreneur Podcast45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Wannabe Entrepreneur Podcast
Hacker News2Po
Podcast of me trying to become an entrepreneur37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Podcast of me trying to become an entrepreneur
Hacker News1