Ta
Tablo Scholar – Analytics for authors to understand reader engagement
Hacker NewsTablo Scholar – Analytics for authors to understand reader engagement
Share cardActual performance
5points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto72%72% 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 released54%54% 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, macos46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% 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, podcasting31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive18%18% 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, revenue16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
naijagov17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
political engagement, democratic inclusion
Indie Hackers2community
InformNation25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Civic engagement
Product Hunt+45A
A brutalist HN reader60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A brutalist HN reader
Hacker News1I
I made a reader for HN with Angular48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a reader for HN with Angular
Hacker News6Ec
Economist Espresso Reader57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Economist Espresso Reader
Hacker News1RF
RFC Reader57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RFC Reader
Hacker News1A
A Reader for Programmers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Reader for Programmers
Hacker News1Di
Dirty Reader54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dirty Reader
Hacker News2
Fluxion Analytics18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Understand your analytics without fighting GA4.
AppSumoCa
Can I Kick It? Understand Scooter Economics46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Can I Kick It? Understand Scooter Economics
Hacker News2