Launching today

StrataVane
AI sentiment intelligence for the everyday investor
10 followers
AI sentiment intelligence for the everyday investor
10 followers
StrataVane synthesizes news, social media, and macro data through a multi-layer AI pipeline to deliver real-time sentiment intelligence — giving retail investors the same signal clarity that institutional desks have always had.










Hey Product Hunt 👋
I'm the solo founder and developer behind StrataVane — a live fintech SaaS I've built entirely from scratch.
The problem: Retail investors are drowning in noise. News alerts, Reddit threads, StockTwits posts — there's signal in all of it, but no unified way to read the sentiment across all of it.
What StrataVane does: It runs a four-layer sentiment pipeline (news, social, structured events, macro) across 90+ companies in 8 sectors, powered by NLP models, and distills it into a clean Daily Sentiment digest. Think institutional-grade market intelligence, minus the Bloomberg terminal price tag.
Where it stands: The platform is live at stratavane.com, with a free tier available now, and a Pro founding member plan at $9/mo or $79/yr — grandfathered forever for early supporters.
I built everything myself — the ASP.NET Core backend, the PostgreSQL database, the crawler pipeline, IIS hosting, Cloudflare security, and the AI sentiment stack. This is a real product, running on real infrastructure, for real investors.
🎁 Exclusive for PH: Use code SVHUNT at checkout for your first month of Pro free. No commitment.
Happy to answer anything ! 🙌
Would love to see a way to export the sentiment signals as a CSV or pipe them into a webhook so I can plug them straight into my own trading alerts without copy-pasting from the dashboard every morning.
Spent a few minutes poking around the dashboard and the sentiment breakdown is genuinely useful, not just a hype number. Caught a subtle shift on a ticker I'd been watching that I hadn't seen on the usual news feeds.
Finally something that doesn't just repackage Twitter. Loved how it flagged a shift in copper chatter hours before the price moved.