Generate trading signals from social media using GPT
Finalle.ai is a financial intelligence platform powered by New-Media data and Gen. AI tech. The platform aggregates and analyzes vast amounts of financial resources to provide investors with real-time, comprehensive view of the market and its driving forces.
Hey Product Hunters and Builders! @amir_golan1, @avita_roi and i are stoked to share Finalle.ai with you today, our passion-project and a work in progress. Can't wait to hear your feedback! At Finalle.ai, we're dedicated to providing investors with a clear and concise view of the web, to empower well-informed trading decisions to be made. We use several APIs to collect and curate real-time, relevant financial content from sources like Twitter, Youtube, Reddit, Telegram, and over 3000 news and bl
Congrats on the launch of Finalle.ai! Its advanced financial intelligence capabilities will revolutionize the way investors view the markets. Can't wait to try it out!
Hello Hunters! We are super excited to reveal Finalle.ai with you all :) After a long building journey, we launched the first version of Finalle so you can keep being up to date with the financial markets and have a wide view of the internet. Please share your thoughts with us, there is no such thing as bothersome comment :) Thank you all
Hi Product Hunters! Sharing Finalle.ai with you guys its a huge milestone for us! We launched this project with a belief that investment decisions should be made based on the understanding of what drives the market. We built Finalle.ai with this in mind. We're trying to understand your needs better so we can't wait to hear your thoughts :). Thanks for the opportunity to share our work with you!
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.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.