My
My Reading List, a simple Facebook app to share what you read
Hacker NewsMy Reading List, a simple Facebook app to share what you read
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto60%60% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting49%49% 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, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive37%37% 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.
Correct prediction on native model
Similar products
Sa
Sapiyen – The reading list that helps you read more42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sapiyen – The reading list that helps you read more
Hacker News3I
I made an app to buffer and complete my "read later" list53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an app to buffer and complete my "read later" list
Hacker News53My
My reading list website51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My reading list website
Hacker News250
50books, a bare-bones reading list tracker66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
50books, a bare-bones reading list tracker
Hacker News9Pa
Paperboy – Your Daily Reading List43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Paperboy – Your Daily Reading List
Hacker News1Pl
Ploter – the all-ine-one reading app35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Ploter – the all-ine-one reading app
Hacker News1
ReadHero49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The All in One Reading App
Product Hunt+145ProductivityWH
WHOIS for Facebook44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
WHOIS for Facebook
Hacker News1Bo
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BoxenBase - Facebook for neckbeards. Battlestations, rigs, etc.
Hacker News1
Facebook41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I founded facebook in july 2018
TrustMRRSocial Media