Ra
Raport – Analyze all your data in one app
Hacker NewsRaport – Analyze all your data in one app
Share cardActual performance
6points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto88%88% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos58%58% 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, personal42%42% predicted probability of success on TrustMRR, 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.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting23%23% predicted probability of success on Indie Hackers, 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
Pr
Programmatically Analyze Data from Webhooks45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Programmatically Analyze Data from Webhooks
Hacker News2Wend50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Centralize, categorize, and analyze product data
Indie Hackers1productivityHo
How to analyze your email data43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How to analyze your email data
Hacker News3An
Analyze Tableau Workbooks34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyze Tableau Workbooks
Hacker News2Tr
TripMeter – Analyze your Uber data with interactive visualizations65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TripMeter – Analyze your Uber data with interactive visualizations
Hacker News3Tabby Data64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The no-fuss way to store and analyze your data.
Indie Hackers1analyticsWeCleanYourData37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Data cleansing app
Indie Hackers1analyticsAn
Analyze genealogical data in D3.js54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyze genealogical data in D3.js
Hacker News1TextQuery23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Analyze Data Locally
Indie Hackerscommitment-side-projectJa
Javascript app I wrote to analyze financial data42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Javascript app I wrote to analyze financial data
Hacker News2