In
Actual performance
15points
6comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto87%87% 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 released41%41% 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, intuitive32%32% 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, personal22%22% 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, macos21%21% predicted probability of success on Product Hunt, 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting15%15% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Bi
Bit of News – Intelligent news summaries47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bit of News – Intelligent news summaries
Hacker News95Pi
Pipes News – Artificially Intelligent News App. Feedback?30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pipes News – Artificially Intelligent News App. Feedback?
Hacker News2Kl
Klipper- Automatic News Summaries52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Klipper- Automatic News Summaries
Hacker News2Nazut News Summaries35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Read news summarized by AI
Indie Hackers1news-magazinesUn
UnFound – Intelligent knowledge cum news aggregator. Debiasing news30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UnFound – Intelligent knowledge cum news aggregator. Debiasing news
Hacker News5PM
PM News – I write TLDR summaries for tech news57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PM News – I write TLDR summaries for tech news
Hacker News2
Fews
Get news in a nutshell
BetaListHa
HackerNews News Recommender59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
HackerNews News Recommender
Hacker News97St
StraightUp - News at your pace44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
StraightUp - News at your pace
Hacker News7Sh
Show HN : Distributed News63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Show HN : Distributed News
Hacker News2