Mi
Mistake Log – track and reflect on your mistakes and failures
Hacker NewsMistake Log – track and reflect on your mistakes and failures
Share cardActual performance
8points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto69%69% 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 NewsStrong engagement from HN community · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: mistakes · 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, 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
Re
Reflect – Track Anything47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reflect – Track Anything
Hacker News6
hug And harmony36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Track hugs. Log feelings. Spread kindness.
Product Hunt+6I
I made Jackson-module-Kotlin without Kotlin-reflect24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made Jackson-module-Kotlin without Kotlin-reflect
Hacker News2Bu
Burger log50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Burger log
Hacker News11Ac
ActiveMQ/Openwire appender for Logback. Log with reliability guarantees44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ActiveMQ/Openwire appender for Logback. Log with reliability guarantees
Hacker News3Ta
Targeted Log Levels67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Targeted Log Levels
Hacker News12
My Emotion33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Track, reflect, grow
Product Hunt+5sleepgene43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Track your emotions daily with sleepgene and reflect
Indie Hackerscommitment-side-projectTi
Time, Track and Log CPR Events32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Time, Track and Log CPR Events
Hacker News1
Tonely AI36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Not autocorrect. Auto-reflect
Product Hunt+2