En
Eng.gd - an experiment in Backbone to easily tell engagement stories
Hacker NewsEng.gd - an experiment in Backbone to easily tell engagement stories
Share cardActual performance
11points
5comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto70%70% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos31%31% 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, intuitive25%25% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting10%10% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ge
Geofable – tell stories with maps62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geofable – tell stories with maps
Hacker News9Storist21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Different Stories
Indie Hackerscommitment-side-projectTe
Tell Me What to Do62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Me What to Do
Hacker News9Kitch.23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell Kitch.
Indie Hackers1advertisingnaijagov17%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+45Wi
Windrush – Tell meaningful stories with data43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Windrush – Tell meaningful stories with data
Hacker News5Speak Zhong Wen48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tell daily stories in Chinese with classmates
Indie Hackerscommitment-side-projectRe
RevenueStory|Your subscription metrics tell stories,can you read them?44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RevenueStory|Your subscription metrics tell stories,can you read them?
Hacker News1Di
Diversity-Related HN Stories, Collected42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Diversity-Related HN Stories, Collected
Hacker News2