Launching today
Ropollo
Reddit Stock Intelligence, Continuously Updated
7 followers
Reddit Stock Intelligence, Continuously Updated
7 followers
Most Reddit stock trackers just count mentions and hand you a score. Ropollo reads every mention in context — distinguishing genuine stock references from ordinary word collisions, preserving source evidence, and connecting social momentum with prices, SEC filings, and short-interest data. The goal isn't a buy signal. It's a research lead you can actually verify. Methodology is public. Limitations are documented. No black-box scores.
Finally something that doesn't just slap a number on a ticker. The source evidence linking is honestly what sold me, since I can actually check whether a "mentions spike" is real people talking about the stock or just someone using the word in a random sentence.
The transparency angle is what sold me on this over the usual trackers. One thing that would make it even more useful for me: a way to export the raw mention data with context tags so I can plug it into my own backtests in Python. Right now most tools lock you into their dashboard, but if Ropollo is already doing the hard work of filtering real stock references from noise, letting researchers grab that cleaned dataset would be a huge differentiator.
Love that the methodology is public and you preserve source evidence, honestly that alone sets it apart from the usual mention counters out there. One thing that would help though is a way to export the filtered mention feed with the surrounding thread context into a CSV or JSON file, so you can pipe it into your own research workflow without having to manually copy each post. Right now everything seems locked inside the dashboard which kind of defeats the verification angle.