Ex
Extracting Regions of Interest Using Page Markers
Hacker NewsExtracting Regions of Interest Using Page Markers
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto73%73% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% 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, 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Ex
Extracting Regions of Interest Using Page Markers44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extracting Regions of Interest Using Page Markers
Hacker News3Pe
Personalized Hackernews front page (using Astro, Svelte)46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Personalized Hackernews front page (using Astro, Svelte)
Hacker News6Sc
Scobido: Crowdsourced front-page of the WWW40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scobido: Crowdsourced front-page of the WWW
Hacker News4Vi
Visualizing the Front Page of HN58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visualizing the Front Page of HN
Hacker News2On
One Page Handover46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One Page Handover
Hacker News1Re
Remind me of that page” WebExtension46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Remind me of that page” WebExtension
Hacker News1Th
The Front Page of Hip-Hop46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Front Page of Hip-Hop
Hacker News2My
My About Page46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My About Page
Hacker News1Mu
Munich Arduino meetup page40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Munich Arduino meetup page
Hacker News2Ko
Kolors.page34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TrustMRRMedia