Da
DataRake – US Foreign Assistance Detailed Data 1946 – 2012
Hacker NewsDataRake – US Foreign Assistance Detailed Data 1946 – 2012
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto77%77% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive46%46% 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, 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 released40%40% 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, macos40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting34%34% 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, revenue18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
De
Detailed data on every cannabis retailer and producer in Washington46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Detailed data on every cannabis retailer and producer in Washington
Hacker News73TubiTow72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Uber for roadside assistance
Indie Hackers1marketplacesNodemap61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flowcharts alongside detailed content
Indie Hackers1contentTallafi67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A financial assistance platform for Nigeria
Indie Hackers1$500/mocommunityTh
This image knows detailed data about your browser59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
This image knows detailed data about your browser
Hacker News3fastlane4u56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Online Interview AI assistance
Indie Hackers1aiFootyStats53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Detailed Football Statistics
Indie Hackerscommitment-full-timeHelik48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning English With AI Assistance
Indie Hackerscommitment-side-project
Wordtune36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Improve your writing with AI assistance
AppSumobestreviewstips50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
BestReviews.Tips is a datadriven assistance tool for your o
Indie Hackers