Hey everyone. Quick bit of context before the pitch: MarketFlux didn't start as a media product. My co-founders and I were running an algorithmic futures trading desk, and the thing that kept costing us money wasn't bad strategy, it was bad information arriving too late or unstructured. So we built our own pipeline to fix that for ourselves, real-time news aggregation with AI sentiment scoring, ticker tagging, and topic classification, and it slowly turned into an actual product over the past few years.
The newest piece is an MCP API, so Claude, Cursor, Windsurf, or Cline can query our live news and sentiment data directly instead of someone copy-pasting headlines into a chat window by hand, which is what we kept seeing our own users do.
We're getting close to launching properly here on Product Hunt and just opened up a page to follow along before that happens: https://marketflux.io
Genuinely curious what this community thinks: for anyone who's tried wiring financial or market data into an AI workflow, what's actually been useful versus what's just noise?
MarketFlux aggregates financial news in real time from 500+ sources, with 33M+ articles processed. Every story gets AI sentiment scoring, ticker tagging, and topic classification, so you see what's being said and how the market is likely reading it, not just another headline feed. Elite adds an MCP API that connects Claude, Cursor, Windsurf, and Cline directly to that data, letting AI clients query live financial news and sentiment natively. Free to start.
