Ge
Generating a dataset from unlabeled image data
Generating a dataset from unlabeled image data
Share cardActual performance
22points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
47%47% predicted probability of success on BetaList, based on ML models trained on real launch data.
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
34%34% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Di
Diffumon – A Basic Image Generating Diffusion Model58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Diffumon – A Basic Image Generating Diffusion Model
Ge
Generating image placeholders using geometric primitives44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generating image placeholders using geometric primitives
Ge
Generating Collisions on NeuralHash43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generating Collisions on NeuralHash
Sh
SharinGAN - Generating Naruto Sharingans with GANs43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SharinGAN - Generating Naruto Sharingans with GANs
Ge
Generating geometric image placeholders client-side35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generating geometric image placeholders client-side
Ge
Generating Streamlit Apps with GPT344%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generating Streamlit Apps with GPT3
A
A DSL for generating binary files55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A DSL for generating binary files
Ge
Generating HN titles using Markov Chains38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Generating HN titles using Markov Chains
Zé
Zé Faker – a CLI for generating Excel data49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Zé Faker – a CLI for generating Excel data
A
A golang library for generating diceware (XKCD) passphrases39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A golang library for generating diceware (XKCD) passphrases