In
Incremental learning of polynomials (and other LIP models) with IRMA
Hacker NewsIncremental learning of polynomials (and other LIP models) with IRMA
Share cardActual performance
24points
9comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto68%68% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, models · Missing: mac, agents, macos66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting21%21% 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
Ol'Chaps Lip Balm52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
No-nonsense cocktail flavored lip balm
Indie Hackers1$181/moe-commerceLi
Lip Reading – Who Said What? Answered by Deep Learning63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lip Reading – Who Said What? Answered by Deep Learning
Hacker News13Li
Lip Reading Implementation by Deep Learning59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lip Reading Implementation by Deep Learning
Hacker News3LipSync49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Video Lip Synchronization
Indie Hackerscommitment-full-timeUs
Using deep learning to synchronize lip movements for video translation49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using deep learning to synchronize lip movements for video translation
Hacker News3De
Deep Learning made lip reading possible58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Deep Learning made lip reading possible
Hacker News2Li
Lip-Sync58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lip Sync AI For Creation
TrustMRR1$14/moArtificial IntelligenceLe
Learning Explainable Machine Learning Models with Attribution Priors56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning Explainable Machine Learning Models with Attribution Priors
Hacker News3Li
Lip Reading – Deep Learning with 3D Networks61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lip Reading – Deep Learning with 3D Networks
Hacker News2A
A Haskell DSL for deep learning models79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A Haskell DSL for deep learning models
Hacker News10