Sh
Shrinking Fractional Dimensions with Reinforcement Learning
Hacker NewsShrinking Fractional Dimensions with Reinforcement Learning
Share cardActual performance
9points
Made the leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto65%65% 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 · Strong signals: io · 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.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos36%36% 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, 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, podcasting11%11% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Qu
Quantifying Learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Quantifying Learning
Hacker News2I’
I’m still learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I’m still learning
Hacker News4Le
Learning GraphQL75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning GraphQL
Hacker News4Cr
Crammut. A trello for e-learning58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Crammut. A trello for e-learning
Hacker News4Fe
Federated Learning54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Federated Learning
Hacker News2Re
Reinforcement Learning – DQN Tutorial47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reinforcement Learning – DQN Tutorial
Hacker News6My
My Thesis on Unsupervised Learning of Disentangled Representations54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My Thesis on Unsupervised Learning of Disentangled Representations
Hacker News1Le
Learning Go Pills62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning Go Pills
Hacker News1Di
Dissecting your learning behaviour and hack each part of it52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dissecting your learning behaviour and hack each part of it
Hacker News1Le
Learning SICP with Understudy54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Learning SICP with Understudy
Hacker News109