Ge
Get referrals to top tech companies
Hacker NewsGet referrals to top tech companies
Share cardActual performance
1points
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.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released50%50% 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, podcasting36%36% 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, 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, macos35%35% 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, intuitive23%23% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Gi
Give/get referrals to tech companies (repher.me)50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Give/get referrals to tech companies (repher.me)
Hacker News6Di
Discover the mafias of top tech companies65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Discover the mafias of top tech companies
Hacker News44-
4-Day Tech Companies53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
4-Day Tech Companies
Hacker News1
Lovablerewards - Free referralhub28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Referrals
Product Hunt+6Th
The list companies hiring through employee referrals recently60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
The list companies hiring through employee referrals recently
Hacker News2Y
Y Combinator Companies with Offices in San Francisco61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Y Combinator Companies with Offices in San Francisco
Hacker News1Wh
Who Cares About a GitRepo (companies and contributors)55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Who Cares About a GitRepo (companies and contributors)
Hacker News5Pe
Pester Companies56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pester Companies
Hacker News1Co
Contra for Companies57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Contra for Companies
Hacker News3TheFollowUp41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Holding companies accountable on racial injustice.
Indie Hackers2communication