
PocketMind AI
An all in one AI app that runs AI models locally and online
Share cardActual performance
1upvotes
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →80%80% 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.
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
I
I made an AI app with 19 AI models for restoring and upscaling photos37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made an AI app with 19 AI models for restoring and upscaling photos
Hala X Uni Trainer63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Train AI models locally without Jupyter or CLI.
Ru
Run Jev-style models locally on Mac with 0.74 GB RAM71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run Jev-style models locally on Mac with 0.74 GB RAM
Sp
Speechos – Benchmark 25 speech AI models locally, no cloud needed34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Speechos – Benchmark 25 speech AI models locally, no cloud needed
Unsloth Desktop74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Run and train AI models locally on your desktop
Ti
Tinx.ai – Prebuilt AI Models for You33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Tinx.ai – Prebuilt AI Models for You
Ho
How to run many deep learning models locally67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
How to run many deep learning models locally
Re
Replicover – Find the hottest AI models on Replicate31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Replicover – Find the hottest AI models on Replicate
WisGate62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Models PAI
Re
Reor – An AI note-taking app that runs models locally76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Reor – An AI note-taking app that runs models locally