Community Intelligence & Social Listening

Your community is already telling you
what will happen next. We make it legible—and provable.

Headwater turns public community data into decision-grade intelligence: what people believe, who drives it, where it's shifting, and what to do about it. Every insight traces back to source.

Enterprise & Brands

Competitive intelligence, audience research, brand monitoring

Custom intelligence for studios, agencies, and brands. We tell you what your market actually believes before you commit your budget — every claim traceable to source.

Explore Enterprise
Creators

Know your superfans, find your next 10 videos, stop guessing

A systematic analysis of 30K–100K comments — who your real audience is, what they actually want, and who's been quietly loyal without being noticed.

Explore Creator Program
Public data only — no account access required
Every finding verified against source data — traceable to the exact post
Creator reports in 4–7 days · Enterprise scoped per project
Founder-led — not a faceless SaaS platform
Why Most "AI Analysis" Can't Be Checked

If a tool can't show you exactly who said what, it's a narrative — not intelligence.

Most analytics tools either scrape a sample and extrapolate, or feed raw text into a chatbot and call it analysis. Both produce results that feel authoritative and can't be verified. Headwater computes everything deterministic first, uses AI only on structured outputs, then checks every claim before it lands in your report.

Generic AI (ChatGPT) Paste 2,000 comments in, get a confident-sounding summary. No way to verify whether the statistics are real.
Headwater Quantitative pre-analysis of complete datasets. AI runs only on structured outputs. A verification engine checks every claim before it reaches your report.
Dashboard Tools Keyword monitoring. Sentiment scores. Volume charts. You can see that something shifted — you can't see who moved it, or whether it was 3 people or 3,000.
Headwater Individual-level tracking across entire catalogs. Every trend attributed to actual people with full engagement histories. No interpolation.
Manual Researchers Sample hundreds of comments, extrapolate to thousands. Miss patterns that only emerge at scale. Subjective by nature.
Headwater Complete population analysis — every member, every interaction. Patterns that only exist at 50,000+ data points surface automatically.
Why Headwater

What the architecture makes possible

Complete populations. Individual histories. Verified attribution. These are structural properties — they come from how the analysis is built, not from features you turn on.

Capability Headwater Brandwatch / Sprinklr Manual Freelancer Generic AI (ChatGPT)
Analysis depth 100K+ complete population Keyword monitoring Manual sampling 2–3K max per session
Individual-level tracking Full cross-content history No No No (no memory)
Dormant member detection Automated, scored, named No No No
Verified statistics (traceable) Every number has a source Partially (surface metrics) Subjective estimates None — hallucination risk
Attribution (who said what) Specific handle + content + date No Manual, limited Cannot attribute reliably
Turnaround Creator: 4–7 days · Enterprise: scoped Real-time (surface-level) 1–4 weeks Hours (shallow, unverified)
Cost $697–$5,000 per engagement $12K–$36K / year $1,500–$4,000+ Free (trust is the cost)
The structural point: Brandwatch and Sprinklr operate at the content level — keywords, sentiment, volume. Manual researchers work at the sample level. Generic AI operates without a verification layer. Headwater operates at the individual community member level across complete datasets. Hallucination is caught before it reaches your report because every AI output is cross-referenced against a quantitative scaffold that was built first.
Sample Intelligence Output

Real analysis. Real numbers. Real sources.

From an actual engagement: 226K-member community, 85 content pieces, 29,591 interactions from 16,913 unique individuals. Every metric below is traceable to source data.

Why these numbers matter A "70/100 community health score" is meaningless without the source data. We show you exactly which 30 dormant advocates drove that deduction — by name, engagement history, and last known interaction.
The quote problem We don't surface anonymous sentiment. When we identify a pattern, we cite specific examples with commenter handles, video titles, and timestamps. You can verify every claim.
community_health_report_excerpt.json
Verified Output
70/100
Community Health Score
16,913
Unique Members Analyzed
92
Highly Engaged Advocates
30
Dormant Advocates — Flagged
Dormant Advocate Pattern
Top contributor Advocate_0047 has engaged across 38 of 85 content pieces with 144 interactions receiving 10,079 endorsements. 30 similarly engaged members have gone silent — their final interactions were overwhelmingly positive, indicating content gap rather than dissatisfaction. Reactivation probability: high.
Cross-Promotion Signal — Invisible to Aggregate Tools
Two verified creators with a combined 1.2M followers are active participants in this community without acknowledgment. Their engagement patterns show organic affinity unrelated to promotional activity. This collaboration signal would not appear in any keyword-based or sentiment tool.
Content Longevity Classification
23% of content (20 pieces) classified Evergreen — continuing to attract new engagement 180+ days post-publication. These pieces generate 4–8× the long-term view accumulation of Flash content. Three specific topic clusters drive this pattern. One Flash series identified as 40% of production effort with 6% of long-term reach.

Real data from a real engagement. Community members are represented as pseudonyms — the same format clients receive. Every figure is verifiable against source data upon request.

Intelligence Projects

When the stakes are real, you need more than sentiment.

Use Headwater when you're making a bet — a launch, a rebrand, a sponsorship, a market entry, a competitive move — and you need to know what the community actually believes before you commit. What are the real advocates saying in private? Where is conviction fragmenting? What narratives are forming that won't show up in your dashboard for another six months?

This is a project-based, founder-led service. Every engagement is scoped personally. You describe the research question; we scope the dataset, the method, and the deliverable — with a clear cost and timeline — before any commitment.

Book a Free Scoping Call
30 minutes. No obligation. We'll tell you honestly if this isn't the right fit.
When This Gets Called

The Silent Exodus

Your metrics look fine. Sentiment is mostly positive. But your most loyal advocates are quietly leaving. We map exactly who has disengaged, when it started, and what their final interactions reveal about why.

Advocate Departure · Churn Risk · Retention

The $100K Blind Spot

You're about to sponsor a creator, enter a market, or launch a product. We verify what that community actually believes before you commit — genuine engagement vs. manufactured consensus, real advocates vs. loud noise.

Due Diligence · Audience Verification · Market Entry

The Narrative Gap

What are buyers asking for that your competitors are missing? What concerns appear repeatedly in comments but never in reviews? We map the unmet demand hiding in the noise — and show you exactly where to move.

Competitive Intelligence · Audience Research · Product Insight
SF

Sam Fath — Founder & Lead Analyst

I've spent years studying how online communities form and transmit beliefs — in educational settings, in organizational transitions, and in financial markets where being wrong about what a community believed had immediate financial consequences. Those environments demanded complete population analysis, individual-level tracking, and verified attribution. That's the architecture of Headwater.

Start with a conversation.

Tell us the question you're trying to answer. We'll scope the dataset, the method, and the deliverable — and tell you plainly if this isn't the right fit. Projects typically start at $1,500 and deliver within 1–2 weeks depending on scope.

Book a Free Scoping Call
30 minutes. No obligation.
Creator Program

Creators: your comments section has answers. We find them.

Who are your 50 most loyal commenters? What content has staying power vs. what dies in a week? Which fans went quiet — and why? The same pipeline that powers our enterprise analysis, automated for individual creators. From $697. Money-back guarantee.

Explore Creator Program
Superfan & Dormant Advocate Mapping
Named individuals with engagement history across your full catalog — not aggregate counts.
Content Longevity Classification
Evergreen vs. Flash vs. Sleeper — so you stop investing in content that dies in a week.
Evidence-Backed Content Strategy
Specific video recommendations with the verbatim audience quotes that justify each one.
How We Work

Three phases that make verification possible

We compute everything provable from raw data before we touch AI — then use AI only for pattern recognition on structured outputs. Verification is baked into the architecture from the start.

1

Quantitative Pre-Analysis

Deterministic, verifiable

Every community member classified and scored from raw engagement data. Tier assignments, advocate identification, dormant member flagging, content decay curves — all computed deterministically before AI enters the picture.

2

Knowledge Graph + RAG

Structured, not raw text

Pre-analysis outputs become a knowledge graph mapping relationships between members, content, and behavioral patterns. AI processes structured graph queries against that scaffold — which is why attribution is possible where it would otherwise be impossible.

3

Verification Engine

Every claim checked

Every AI-generated insight is cross-referenced against the quantitative scaffold. Fabricated statistics and ungrounded claims are caught before they reach your report. Every number and quote traces to a source.

The practical result: Every statistic in our reports traces to a verified value. Every quote traces to a specific person on a specific piece of content. When we tell you that 30 formerly-active community members went quiet in the last 60 days and their final interactions were positive — we can show you exactly who they are, what they said, and when they left.
Privacy & Ethics

Community intelligence, built with principled limits.

Headwater is built to understand how communities function as collective systems — to identify belief patterns and behavioral trajectories at scale. We are not in the business of building profiles on individuals or enabling ongoing monitoring. That's a design choice, not a legal disclaimer.

Pseudonymization by Default

Community members are represented in reports as anonymous hashes and pseudonyms. Intelligence describes behavioral patterns — not personally identifying information tied to real-world identities.

No Cross-Platform Tracking

Analysis is scoped to the specific community dataset requested. We do not attempt to resolve identities across platforms or build persistent individual profiles that follow people across contexts.

No PII Collection

We collect no personally identifying information. Public display names are processed and pseudonymized in our pipeline. We do not store, sell, or share identifiable data.

Public Data Only

Every data point analyzed is already publicly visible to any person who visits the community. We organize and analyze what's public — we access nothing private, and we never require platform credentials or account access.

Make your next decision
with evidence you can audit.

Tell us the question you're trying to answer. We'll scope the dataset, the method, and the deliverable — then show you exactly where every insight comes from.

Start a Project Creator Program → Intelligence Briefing →

Creator reports: 4–7 day turnaround. Enterprise: scoped per project. No contracts, no lock-in.