Ropollo
Reddit Stock Intelligence, Continuously Updated
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Ropollo - Reddit Stock Intelligence, Continuously Updated

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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.

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I built Ropollo because I was tired of stock trackers that just dump mention counts into a leaderboard and call it a signal. The same ticker letters mean completely different things depending on context OPEN is a stock on some subreddits and an ordinary word on others. Most tools count both. I wanted something that actually reads the text before scoring it. The first version surfaced a ticker with 3 mentions as a "breakout" because the percentage math exploded off a near-zero baseline. That was humbling. The current version gates low-mention candidates, distinguishes familiar tickers from emerging ones, and connects every surfaced name back to the original Reddit posts so you can read the discussion yourself. This isn't a prediction tool. It doesn't tell you what to buy. It reduces the work of noticing and investigating a changing conversation. The methodology page explains exactly what the system measures and what it can't. If something looks off, you'll know why and you'll have the source posts to check. Happy to answer questions about the approach, the data sources, or anything else.

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.