Su
Super-resolution networks and datasets in Pytorch
Hacker NewsSuper-resolution networks and datasets in Pytorch
Share cardActual performance
1points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto86%86% 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 released54%54% 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, personal43%43% predicted probability of success on TrustMRR, 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive28%28% 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.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting14%14% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Super ii60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI hub for models & datasets
Indie Hackerscommitment-full-timeCa
Cached Datasets53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cached Datasets
Hacker News4ResolveRent7%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Landlord-Tenant Dispute Resolution
Indie HackersIn
Introduction to Recurrent Networks in TensorFlow66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Introduction to Recurrent Networks in TensorFlow
Hacker News6Re
Recurrent Entity Networks with TensorFlow65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Recurrent Entity Networks with TensorFlow
Hacker News37Eq
Equilibrium in Cryptoeconomic Networks51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Equilibrium in Cryptoeconomic Networks
Hacker News54Do
Download HuggingFace Models/Datasets easily and super fast60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Download HuggingFace Models/Datasets easily and super fast
Hacker News10I
I made this tool for navigating pandas datasets50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made this tool for navigating pandas datasets
Hacker News20Ge
Geckoboard Datasets API58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Geckoboard Datasets API
Hacker News1My
MySQL Super Dump45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
MySQL Super Dump
Hacker News2