Di
Discover and discuss incident postmortems from other companies
Hacker NewsDiscover and discuss incident postmortems from other companies
Share cardActual performance
8points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto90%90% 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.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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.
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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting12%12% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
ZweimalFreude44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A platform to discover companies producing regionally
Indie Hackers1advertisingDi
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 News4Y
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 Hackers2communicationResQ Incident Management45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No Stress Incident Management
Indie Hackers1analytics
RCAi58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI post-mortems for SREs from incident timelines
Product Hunt+4TechMafia.io61%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.
Indie Hackerscommitment-side-project