Competitors hub · Competitor 360
Their strategy, decoded on demand.
Competitor 360 turns the sources you choose into a scored, predicted, counter-planned profile of every competitor — so you see the move while there's still time to answer it.
One continuous pipeline: the highlighted signal travels from a source you chose, through the engine and the graph, into the models and the score — and out the other side as a prediction with a prescribed counter-move. Hover any station — the watchlist, an engine stage, the leadership models, the gates — for what's happening inside.
Every source, category, model, and mechanism in this walkthrough ships in the product today — the core watchlist, the ten signal categories, the five-tier entity ladder, the H2O model targets, and the eight-dimension score are all named as they exist in the platform.
Step 1 · The watchlist
Core sources on by default. A catalog of 2,000+. And yours.
Competitor 360 doesn't watch “the news” — it watches named, versioned sources with a defined cadence, and you decide the mix per competitor.
Core set — always on
The always-running spine, tuned for competitive movement — including CWCS, the competitor website classification system: we crawl each competitor's entire site, classify every page by surface (pricing, products, customer proof, careers…), snapshot it daily, and diff it — so a quiet pricing edit or an unannounced product page becomes a signal.
CWCS full-site crawl & diffs · SEC EDGAR filings · Crunchbase · USPTO patents & trademarks · public ATS job boards (Greenhouse / Lever / Ashby / Workday) · WARN Act layoff notices · GDELT global news · GitHub & open-source telemetry · Hacker News & Stack Overflow · status pages · CVE / security advisories · OpenCorporates
Add from the catalog — 2,000+ sources, ten categories
Every source classified into one of the ten signal categories — browse by category and switch on what your market needs.
capital · talent · technology · commercials · marketing · sales · customers · ecosystem · observers · governance
catalog depth, September 2026: governance 553 · observers 411 · commercials 322 · ecosystem 276 · technology 251 · talent 149 · customers 140 · capital 57 · marketing 14
Configure custom — bring your own
Any URL, RSS feed, or API — with your keywords, your credentials, aimed at chosen competitors. Set cadence or cron, daily cost caps, and exactly which surfaces it feeds.
include in → competitor refresh · battlecard refresh · account refresh
Step 2 · The signal engine
How an article becomes a signal.
Raw pages aren't intelligence. The engine reads each item the way an analyst would — then does it thousands of times a day, with provenance kept at every step.
| Stage | What happens | In the product |
|---|---|---|
| 1 · Fetch & parse | Pull the article, filing, job post — or a page from the competitor's own site via the CWCS crawl — and strip it to clean text. API-first, certified scrape fallback. | per-source query strategies · CWCS surfaces |
| 2 · Extract | Source-tuned prompts pull every distinct event out of the prose — one funding article can carry a raise, hiring plans, and an upmarket push at once. | signal extractor + per-source prompts |
| 3 · Categorize | Each extracted signal is classified into one of ten categories by which actor caused it, grouped Resources / Offering / Go-to-market / Market. | capital · talent · technology · commercials · marketing · sales · customers · ecosystem · observers · governance |
| 4 · Ground | Anchored to the graph's taxonomies — category, industry, country, role — so each signal knows its market context. | taxonomy grounding |
| 5 · Resolve | An entity ladder from exact identifiers up to Tier-5 LLM ballots. The mention becomes a hard link to the company and product node — or it doesn't ship. | five-tier resolution · confidence floor |
| 6 · Score & dedupe | Every signal scored 0–100 with critical/high bands. Then the merge: near-duplicates across sources collapse into one signal with many citations. | signal scoring service |
One engine, one contract: whether the input was an SEC filing, a job post, a CWCS website diff, or your custom RSS feed, what comes out is categorized, entity-linked, scored, deduplicated signals. The engine splits and merges as the evidence demands — one article can carry several signals (a raise + hiring plans + an upmarket push), and several articles carrying the same signal collapse into one with many citations. That discipline is why everything downstream can trust it.
Steps 3–4 · Graph + models
The model bench: trajectory, intent, and the humans in charge.
Trajectory models (H2O AutoML)
Trained on the graph's own history, scored per competitor.
Leadership assessment
Executive-disposition profiling from their own words and filings.
Talent assessment
Hiring velocity and shape read as strategic commitment — a sales-heavy quarter and an ML-heavy quarter predict different futures.
Classification
Dual-output strategic phase & growth posture — is this competitor consolidating, expanding, or pivoting?
On assessing people: leadership reads are peer-reviewed constructs computed from public words and filings — surfaced as hypothesis inputs with confidence bands, never verdicts about a person. Thin evidence yields low confidence, not false precision.
Step 5 · The score
The Competitive Score framework.
Eight dimensions, each scored 0–100 from its own evidence — and each one a tab in Competitor 360. The overall is confidence-weighted — thin evidence counts less, strong suits lead, and lopsided profiles pay an imbalance penalty. Scores snapshot daily, so every number has a trajectory.
| Dimension | What it reads | Fed by |
|---|---|---|
| Products | Capability breadth, feature velocity, catalog strength | product graph · releases |
| Markets | Category coverage and momentum where you both sell | categories · signals |
| Financials | Fuel: funding, metric trends, filing deltas | filings · funding feeds |
| Positioning | Analyst standing & narrative strength | MQ · MarketScape · Wave |
| Distribution | Go-to-market reach and channel motion | signals · hiring shape |
| Ecosystem | Partners, integrations, platform gravity | ecosystem edges |
| Operations | Execution capacity — hiring, leadership stability | talent + leadership models |
| Customers | Sentiment, engagement, review momentum | 2.4M+ reviews · engagement |
Two lenses, same framework. The market lens is the public baseline every customer sees. Connect your data and your own lens diverges — your win/loss record and CRM reality re-weight what the market can't know. Until you do, the two are identical by design.
Step 6 · Fan-out
One signal, every surface that needs it.
Competitor 360
Lands in the Pulse feed and re-scores the dimensions it touches; predictions update.
Battlecards
Event-triggered refresh: high-confidence capital, technology, commercials, and governance signals draft an edit within the day, for the card owner to approve.
Comparisons
Posture and evidence feed the vendor comparisons your buyers see.
Newsletters
The week's material moves, compiled per competitor and sent to the team.
Win/Loss & deal risk
Live signals join deal reviews and risk alerts — “they repriced mid-cycle” arrives before the loss does.
Alerts & webhooks
Rules route critical signals to Slack, email, or your systems via webhooks.
Bring one hard competitive question.
We'll show you the answer in your category — scored, cited, and counter-planned — in a live session on your competitors, not a canned deck.