Actual performance
6upvotes
3comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto62%62% 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 released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos34%34% predicted probability of success on Product Hunt, 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, intuitive30%30% 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, podcasting26%26% 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, 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
Di
Discover Newsletters on Letterlist51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover Newsletters on Letterlist
Hacker News1Li
Listory – discover, follow and read newsletters out of your inbox49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Listory – discover, follow and read newsletters out of your inbox
Hacker News1Ne
NewsletterStack – Discover the tools behind successful newsletters39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NewsletterStack – Discover the tools behind successful newsletters
Hacker News3NewsletterStack53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover the Tools Behind Successful Newsletters
Indie Hackers1contentRe
Read Faster with Simplify AI42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read Faster with Simplify AI
Hacker News2Ma
Maktoub – Newsletters in Rails45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Maktoub – Newsletters in Rails
Hacker News2Go
Goodreads for Newsletters49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Goodreads for Newsletters
Hacker News18Je
Jekyll for MailChimp newsletters47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jekyll for MailChimp newsletters
Hacker News2Newsletters.co41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The space to discover newsletters and gain subscribers.
Indie Hackerscommitment-side-projectCl
Clipped – Summarize Anything42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Clipped – Summarize Anything
Hacker News2