E_ book
Indie HackersEveryday Conflict resolution
I believe the fastest way to reach people with ideas is through e_ book in a digital world.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos44%44% 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, podcasting37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I wrote a book about Everyday Go71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I wrote a book about Everyday Go
Hacker News6ResolveRent7%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Landlord-Tenant Dispute Resolution
Indie HackersAt
Atoms Everyday Mask45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Atoms Everyday Mask
Hacker News2Intentful62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Take back your everyday
Indie Hackers1b2cEn
Entity Resolution on Your Desktop47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Entity Resolution on Your Desktop
Hacker News2Re
Rezolva – Entity resolution for everyone. Minimal. No dependencies59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Rezolva – Entity resolution for everyone. Minimal. No dependencies
Hacker News5Tu
Turn Complaints into Resolution Reviews58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn Complaints into Resolution Reviews
Hacker News1My
My first ever e-book, Hacking Obamacare65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My first ever e-book, Hacking Obamacare
Hacker News6I
I Wrote a Book on ReactiveCocoa75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Wrote a Book on ReactiveCocoa
Hacker News1Pu
PureScript Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PureScript Book
Hacker News6