Five steps that turn millions of cross-market posts — in Korean, Japanese, Chinese, and English — into one ranked, translated, scored brief in your inbox at 7:30 AM ET.
Every 30 minutes, IRster pulls fresh posts from the platforms where retail investors actually talk about your stock — Reddit, X, Stocktwits, Seeking Alpha in English, and Naver, 5ch, moomoo, Tiger and Yahoo!ファイナンス in Korean, Japanese, and Chinese. Public conversations only; private posts, DMs, and paywalled content are never touched.
Every non-English post is translated into English, deduplicated against earlier captures, and tagged with its source, author handle, and post time. The original-language quote stays linkable on every brief so your team can verify in context.
Each mention is classified for sentiment direction and intensity, for category (DD, momentum, short thesis, activist), for activist account presence, and for whether it references the CEO, a recent filing, or specific financial metrics. Known activist-research firms (Hindenburg, Muddy Waters, Citron, and the rest) are flagged on author match.
Two layers of judgment turn raw mentions into a ranked, decision-ready feed. One is shipped and powering briefs today; the other is in development — and is where IRster's read gets sharpest.
A deterministic 0–100 score for each mention. Combines sentiment intensity, author reach, post velocity, activist account presence, short-thesis category, CEO mention, and SEC-filing reference. This is what ranks the signals that land in your morning brief.
Signal score tells you which mention is loud. Impact diagnosis is designed to tell you which is worth reviewing — by reading three dimensions together: sentiment, representativeness, and price divergence.
The highest-scoring signals come with the AI's IR-perspective commentary: what to watch, what context to brief the CEO on, what to keep an eye on into the next earnings call. The top-line goes into your morning brief; the underlying mentions stay linkable for your team.
The hard part of retail intelligence isn’t collecting data — it’s knowing whose voice matters.
IRster’s intelligence layer reflects this. A Naver post or a creator opinion earns weight the same way: historical accuracy of past calls, relevance to the ticker’s own community, engagement quality over raw reach, and whether the topic keeps coming back from independent voices rather than one loud account. Refined across thousands of finance voices, in multiple languages, and updated as track records change.
This is the work that can’t be reproduced from scratch. It compounds with time.
IRster only ingests publicly available retail-investor conversation. We do not access private posts, direct messages, paywalled content, or anything that requires a logged-in session beyond standard public read access. Our position on selective disclosure and Reg FD is documented in our Reg FD memo.
Send us your ticker. Tomorrow at 7:30 AM ET, you'll receive a sample brief — a clear read on what retail investors are saying about you across Korean, Japanese, Chinese, and English channels.
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