I
I made a platform that allows you to show what you stand for
Hacker NewsI made a platform that allows you to show what you stand for
Share cardActual performance
11points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews65%65% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto53%53% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% 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, revenue12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
St
Stand Up California45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stand Up California
Hacker News2Wh
What do you stand to make?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What do you stand to make?
Hacker News4Ds
Dsu (daily stand-up) Ruby gem35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dsu (daily stand-up) Ruby gem
Hacker News2mobile stand20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mobile stand
Indie Hackerscommitment-full-timeCoursenest22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Coursenest allows you to discover the top CBCs.
Indie Hackers1advertisingSu
Substack2Kindle – my internet lemonade stand50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Substack2Kindle – my internet lemonade stand
Hacker News1
VCOM RGB Headphones Stand with hub30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RGB headphone stand with USBhub for organized, stylish desks
Product Hunt+12KEITH46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
College Admissions: Where you stand, and what to do about it
Indie Hackerscommitment-side-projectLi
Live Stand-Up Comedy from Home48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Live Stand-Up Comedy from Home
Hacker News65SH
SHOW HN: I made an app which has curated comedy, stand up, fails and pranks44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SHOW HN: I made an app which has curated comedy, stand up, fails and pranks
Hacker News1