From public conversation to your morning brief.

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.

Step 01
Collect

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.

Step 02
Present

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.

Step 03
Diagnose

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.

Step 04
Score & diagnose

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.

04a
Signal score
● Shipped

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.

Sample · Reddit · r/SecurityAnalysis · 4h ago
“Inventory days are quietly growing four quarters in a row — channel stuffing, or genuine demand softening? Worth a serious look before next earnings.”
Sentiment intensity (−0.75 bearish)
+8
Reach (18,000 followers)
+13
Velocity (60 likes / hour)
+23
Short-thesis category
+20
CEO mentioned
+5
Filing reference
+0
Activist account
+0
Signal score
69 / 100
04b
Impact diagnosis
In development · 2026

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.

Three dimensions that, together, show whether a signal is worth reviewing.
  • Sentiment — direction and intensity, per signal.
  • Representativeness — chorus or soloist; how many people are saying it, not just how loud the loudest are.
  • Price divergence — the conversation versus the tape. A gap worth reviewing when the two disagree.
Example diagnosis — $EXMP, today
Sentiment
+0.72 bullish (chorus)
direction
Mentions
1,847 today vs 110 baseline
16× normal
Stock
−3.8% intraday
vs prior close
Divergence
HIGH
A chorus of bullish posts while the stock is down 4% is exactly the kind of divergence an IR team should review — a narrative that warrants a closer look, whether it reflects shifting retail sentiment, unusual positioning, or a story the conversation hasn't caught up to. IRster will surface divergences like this in your morning brief once Impact diagnosis ships.
Step 05
Recommend

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.

Built on years of monitoring, not just AI.

The hard part of retail intelligence isn’t collecting data — it’s knowing whose voice matters.

A verified securities analyst speaking in Koreancarries different weight thana momentum trader in English.
A YouTube creator with three years of accurate callscarries different weight thansomeone who appeared yesterday.
A Reddit poster with 50K karma in r/SecurityAnalysiscarries different weight thanthe noise in r/wallstreetbets.

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.

Compliance

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.

IRster

See the full conversation about your stock.

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.

Request your sample brief

Public-source intelligence for investor-relations teams — no paid promotion, no investor targeting.