Us
Using machine assistance to diagnose incidents faster
Hacker NewsUsing machine assistance to diagnose incidents faster
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto78%78% 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 · Strong signals: mac, using · Missing: agents, macos, agent57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released48%48% 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, personal46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting42%42% 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, revenue17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
TubiTow72%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 Hackers1marketplacesWe
Web drum machine using Angular1&260%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web drum machine using Angular1&2
Hacker News22Sk
Skruge.in using machine learning for stockexchange63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Skruge.in using machine learning for stockexchange
Hacker News3Do
Doomsday Machine56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Doomsday Machine
Hacker News3Ma
Machine Valuation56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Machine Valuation
Hacker News1Z-
Z-Machine in PostScript56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Z-Machine in PostScript
Hacker News3Do
Doomsday Machine56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Doomsday Machine
Hacker News3Ta
Tape Machine56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tape Machine
Hacker News2Re
Resurrecting Infocom's Unix Z-Machine with Cosmopolitan52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Resurrecting Infocom's Unix Z-Machine with Cosmopolitan
Hacker News9An
An implementation of a Turing machine in Go60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An implementation of a Turing machine in Go
Hacker News4