Actual performance
7upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto71%71% 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.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos29%29% predicted probability of success on Product Hunt, 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, podcasting21%21% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Or
Org Charts using GraphViz47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Org Charts using GraphViz
Hacker News2Or
Org Charts using GraphViz and Inkscape47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Org Charts using GraphViz and Inkscape
Hacker News2My
My (late) holiday hack: SOPAOpera.org51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My (late) holiday hack: SOPAOpera.org
Hacker News40Sh
Shicray.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Shicray.org
Hacker News1Sh
Show HN : YCrejects.org62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : YCrejects.org
Hacker News2Sl
SlaveryStories.org – Memoirs from American Slaves53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SlaveryStories.org – Memoirs from American Slaves
Hacker News178Cr
Crushify.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crushify.org
Hacker News43Mv
Mvmnts.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mvmnts.org
Hacker News1Pd
Pdftotext.org53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pdftotext.org
Hacker News3ai
aipwn33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
aipwn.org
TrustMRRSoftware