Create your own neural networks to predict market values using a very easy no-code interface and join us in creating the largest distributed AI to consistently beat the market. Or just browse the predictions we publish...
Make your own AI to predict the market
Create your own neural networks to predict market values using a very easy no-code interface and join us in creating the largest distributed AI to consistently beat the market. Or just browse the predictions we publish...
Might be needful to do a video or page on how this works.
I like the concept. Can you help with a clarifying question? Data is as important as the AI models, when making predictions. How do you get the data that lets your AI predict the stock movements?
Wow! it's damn interesting, looking forward to trying it. Congratulations on the launch!
Looks amazing, I really like the concept. The searching bar looks like it's not working, tho... you might want to check it out. I put only "variable = high" and I did not fill any other inputs and I got the "nothing found" message.
I need your opinion: Which visuals do you like more? current production: https://www.exnge.com/ preview release: https://exnge-nmyikym7d-pykiss.vercel.app/ Also there is a survey on twitter, you can vote if you like: https://twitter.com/exngecom/status/1495660840548278276 Thanks.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.