MinuteText
Product Hunt$1 message for 1 minute or possibly FOREVER | Make it count
Share cardActual performance
135upvotes
25comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto65%65% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released53%53% 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, macos48%48% 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, podcasting44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ma
Make Every 'Thank You' Count41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make Every 'Thank You' Count
Hacker News1Supernormal66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Make every meeting count
Indie Hackerscommitment-full-timeGP
GPTs Can't Count33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GPTs Can't Count
Hacker News1Th
The Sochi 2014 medal count ordered by population46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Sochi 2014 medal count ordered by population
Hacker News10Nu
NumRace - Can You Count From 1 To 9?46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
NumRace - Can You Count From 1 To 9?
Hacker News11Growrilla65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Count Anything and Everything
Indie Hackers1$9/mob2cNa
Nanosecond C message logger50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Nanosecond C message logger
Hacker News131Ba
Bare Message Encoding48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Bare Message Encoding
Hacker News2Th
The Bare Message Encoding48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The Bare Message Encoding
Hacker News36Th
Throw Your Message into the Void58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Throw Your Message into the Void
Hacker News4