St
Stumpzlib – search book catalogs and drop files into Stump
Hacker NewsStumpzlib – search book catalogs and drop files into Stump
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto57%57% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive41%41% 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, podcasting25%25% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal24%24% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Drop to File17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drop and transfer your files
Indie Hackerscommitment-side-projectDr
Drop-in caching for R functions42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drop-in caching for R functions
Hacker News1Dr
Drop-in sticky headers and footers for UICollectionView44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Drop-in sticky headers and footers for UICollectionView
Hacker News1Curiosity55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
One search for all your files and apps
Indie Hackerscommitment-full-timeAn
An ABC Book in CSS361%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An ABC Book in CSS3
Hacker News4I
I published a book on Django48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I published a book on Django
Hacker News4Lo
Lovability Book61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lovability Book
Hacker News10My
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