
Actual performance
113upvotes
4comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
42%42% predicted probability of success on AppSumo, 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.
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
I
I accidentally built an MrBeast-style replicator34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I accidentally built an MrBeast-style replicator
Seedream 3.072%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Next-gen text-to-image model by Bytedance
ChatGPT Images 2.079%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
First image model with thinking capabilities
AetherLAM62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An un-sandboxed Large Action Model built to bypass browser l
I
I built a news app with topic grouping model49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I built a news app with topic grouping model
Google Imagen 388%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Google's highest quality text-to-image model so far
We
We built a Rotten Tomatoes-style platform for knives51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
We built a Rotten Tomatoes-style platform for knives
Op
Open-Source Image Model Leaderboard with Public Preference Data48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Open-Source Image Model Leaderboard with Public Preference Data
WazirAI48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Most image/video AI outputs don’t fail because the model is bad. They fail because the prompt isn’t structured correctly for that model. That’s why we built Wazir AI. Describe your idea → Wazir turns
AIThumbnail.so60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YouTube Thumbnails crafted with GPT4o image-1 model