Mo
MongiaJS, a library for consuming MongoDB documents
Hacker NewsMongiaJS, a library for consuming MongoDB documents
Share cardActual performance
9points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto67%67% 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 released53%53% 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, intuitive45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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.
Correct prediction on native model
Similar products
ragchat52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Transform your Documents into an Intelligent Library!
Indie Hackerscommitment-full-timeAn
Analyzing Documents with Three Sigma39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyzing Documents with Three Sigma
Hacker News1Do
Doksbin - Pastebin for Documents49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Doksbin - Pastebin for Documents
Hacker News7Re
Redis-Automerge: CRDT Documents for Redis52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Redis-Automerge: CRDT Documents for Redis
Hacker News5Pa
Parseflow, how to parse documents when you're broke49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Parseflow, how to parse documents when you're broke
Hacker News2La
LavaSend - SnapChat for documents71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
LavaSend - SnapChat for documents
Hacker News1ma
mario.py, a convenience library for i/o35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
mario.py, a convenience library for i/o
Hacker News2Li
Livewire: Livescript microrouting library51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Livewire: Livescript microrouting library
Hacker News2A
A Dropbox library for Go54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Dropbox library for Go
Hacker News3Dj
Django passbook library released47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Django passbook library released
Hacker News1