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RevSignal

See where your company is operationally stuck — cited, not guessed.

Give RevSignal one company domain. It returns a cited operational brief: what's broken inside the business, the AI automation that fixes it, where to start for the highest ROI, and the funding to pay for it — every claim backed by a verbatim quote and a source URL.

License: MIT Built with Bright Data Hackathon: lablab.ai Status: Building in Public

Live demo · Sample briefs · Architecture · n8n workflows · Frontend · Schema


TL;DR

Founders know something is slowing them down — they just can't see what, or what to do about it. RevSignal reads the live web around a single domain and hands back a one-shot diagnosis: what's broken, what to automate, and how to fund it — with receipts. Every pain signal is paired with the concrete AI automation that fixes it, ranked into a single highest-ROI first move, and matched against real funding programs in the company's own country. A grounding critic drops anything it can't cite, so there are no hallucinations by construction.

The problem

Most companies can't see where they're operationally stuck. The bottlenecks — manual onboarding, support drowning in tickets, a finance team copy-pasting between tools — are obvious in hindsight and invisible day to day. And the "intent" tools that promise visibility solve a different problem: they tell you who to sell to, surfacing firmographic and behavioral noise about other companies. Nobody points the lens inward and says: here is your bottleneck, here is the automation that removes it, here is how you pay for it — with evidence you can check.

RevSignal does exactly that, for founder-led startups, any vertical, any country.

How it works

   domain in  ──────────────────────────────────────────────►  cited brief out
       │
       ▼
 ┌─────────────────────────── COLLECT ───────────────────────────┐
 │  Bright Data — SERP API · Web Unlocker · MCP                   │
 │  public surface, job posts, reviews, structure, funding pages  │
 └────────────────────────────────────────────────────────────────┘
       │
       ▼
 ┌─────────────────────── REASON (MiMo V2.5 Pro) ─────────────────┐
 │  source planner → synthesizer (→ CIO) → grounding critic       │
 └────────────────────────────────────────────────────────────────┘
       │
       ▼
 ┌──────────────────── ORCHESTRATE (n8n, async) ──────────────────┐
 │  webhook responds in <1s, runs the pipeline post-response,     │
 │  streams progress; client polls until the brief is done        │
 └────────────────────────────────────────────────────────────────┘
  • Bright Data (SERP API + Web Unlocker + MCP) supplies live, anti-bot-resilient access to the public web — search results, job boards, review sites, company pages, and funding/grant sources.
  • Xiaomi MiMo V2.5 Pro does the reasoning: it plans which sources to pull, synthesizes them into the structured Company Intelligence Object (CIO), then runs as a grounding critic over its own output.
  • n8n runs the whole thing as an async pipeline — the analyze webhook responds in under a second and executes the collection → reasoning → grounding stages afterward, so the request survives edge timeouts and the browser just polls for progress.

The grounding critic is the load-bearing part: every claim must carry a verbatim quote and a source URL, and anything the critic can't tie back to a source is dropped or flagged before the brief is rendered. No hallucinations by construction.

See docs/architecture.md for the full pipeline, the n8n workflow exports, and the CIO schema.

What's in a Signal Brief

Every brief is generated end-to-end from a single domain. It contains:

  1. Operational pain signals — each one an internal bottleneck paired with the concrete AI automation that fixes it. Not "you have a problem," but "this is the problem, this is the automation that removes it."
  2. Where to start — the single highest-ROI first move, with its projected impact, so a founder knows the one thing to do next.
  3. Company structure — headcount, role distribution, customers, and funding, drawn only from public/aggregate sources (no PII).
  4. Funding opportunities — grant and funding programs researched for the company's own country, each scored for eligibility and coverage and sorted into apply-now / applicable / watch, so the diagnosis comes with a way to pay for the fix.
  5. Competitors + grounding metadata — the competitive surface, plus citation coverage, source diversity, and the claims the critic removed or flagged.

Every claim in the brief carries a verbatim quote and a source URL.

RevSignal vs. traditional intent tools

Traditional intent tools RevSignal
Examples Clay, 6sense, ZoomInfo, Apollo
Question answered Who should I sell to? What should I fix?
Direction Outward (prospect lists) Inward (your own bottlenecks)
Output Firmographic / behavioral scores Cited pain signal → automation → first move
Evidence Black-box scores Verbatim quote + source URL per claim
Beyond the insight Hand-off to sales Funding bridge — how to pay for the fix

Intent tools surface noise about other companies. RevSignal points the lens at you and proves it.

Proof / sample outputs

Real briefs, produced end-to-end — no mock data, no fixtures. Each is a single pipeline run from domain → cited brief. Five companies across five verticals and five countries:

Company Country Vertical Coverage
Cal.com US Scheduling / open source 75%
PostHog US Product analytics 85%
Linear US Project management 93%
Plausible Estonia Privacy analytics (indie) 77%
Oura Finland Consumer hardware / D2C 88%

Browse the full briefs (Markdown, PDF, and raw CIO JSON) in ./sample_outputs.

Business model

RevSignal is the free top of a three-layer funnel — the brief is the lead magnet, and the moat is the bridge from diagnosis to delivery.

  • Layer 1 — RevSignal brief (free, public). The cited operational diagnosis described above. Anyone can run it on their domain. This is the lead magnet.
  • Layer 2 — Automation Audit (paid). A deeper, hands-on engagement that turns the brief's pain signals into a scoped, prioritized automation plan.
  • Layer 3 — Managed Ops Sprint (paid). We build and ship the automations — diagnosis becomes delivery.

Layers 2 and 3 are ArtificialArtz services and the project's revenue path / future. The free brief earns trust by being specific, cited, and immediately useful; the audit and sprint are how that trust converts. The defensibility isn't the report — it's owning the road from here's what's broken to here's it fixed.

Security

The hosted demo is production-hardened:

  • Cloudflare Turnstile bot protection in front of the analyze flow.
  • Rate limiting at multiple layers — per-IP, global, and a daily cap.
  • Server-side domain validation on the analyze webhook before any work runs.
  • Secrets server-side only — no API keys or credentials are ever exposed to the client.

Roadmap

  • Signal Watch — monitoring + diff alerts when a company's signals change.
  • Signal Sweep — batch mode across many domains at once.
  • CRM / workflow webhooks — push briefs into the tools teams already run.
  • Vertical & geography packs — tuned pain-signal libraries and country-specific funding sources.

Team

Built by ArtificialArtz:

  • Alper Koç
  • Arda Vatan
  • Selin Anastasia Arslan

Built in public during the Bright Data × lablab.ai hackathon.

License

Released under the MIT License. Copyright © 2026 ArtificialArtz.

About

See any company's automation pain — proven, not guessed. Live web → cited GTM brief in ~2 minutes. Built with Bright Data for the lablab.ai hackathon, May 2026.

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