We map your whole market and you: your buyers, your competitors, your offers, your moves and where they fit.It updates with every change and gets sharper with every result, so you always know your next best move.
CodexCursor
Hermes
OpenClaw
Grok Bot
What our team has built
Case study · goal
Grew a subreddit from zero to 100K+ members, making it the go-to community in the category.
Case study · goal
Built a 20K+ engaged following and achieved GEO ranking within the first week of launch.
Case study · goal
Achieved first-page AI citation placement across ChatGPT, Claude, and Perplexity within one week.
Case study · goal
$100K in prizes. NYC Agent Hacker House.
Case study · goal
Senior engineers from top companies in real product conversations.
How it works
The product
You: your offers, proof, voice, design system and every move you have made, with its result. Your market: every company, buyer, rival and signal. The three features below run on both sides.
Market Signals
We watch your buyers, your rivals and your own data at once, across 75+ sources: hiring, funding, leadership changes, posts, reviews, Reddit threads, site visits and your CRM. Every signal is dated, comes with its evidence, and is linked to the people, accounts and rivals it touches, so you see how one move ripples through your market.
Buyer Intelligence
Signals add up per account and per person on a ladder of buying stages. Noise is filtered out, what is left is scored, and the strongest buyers are routed as leads with the reasons attached.
GTM Alpha
GTM Alpha reads both sides of the twin, scores every opportunity against your strategy, and ranks what to do next. Each play is tested against accounts you left alone, and every result re-ranks the rest. You decide; it ranks.
Connectors
Your agents, your CRM, your outreach tools and your team’s chat, all reading from one model of your market. If the connector doesn’t exist yet, our engineers build it.
CodexOpenClaw
Attio
beehiivWhat you can run
Your whole go-to-market, run as one system that learns. Our engineers build it around your business: the twin, GTM Alpha ranking the moves, and agents running them across every channel. We can embed a fractional GTM engineer with your team.
Resources
What a GTM engine is, how it differs from a CRM, an agent and a GTM engineer, and the loop it runs on.
Roman J. Georgio
A walkthrough of the agents we run for lead generation, and where they fit.
Roman J. Georgio
Four intimate technical workshops over six weeks. How we got senior engineers from Google, JPMorgan, Airbnb, and Snapchat in a room for CoralOS — four times — and turned attendance into a distribution pipeline.
Sebastian Lourenço
The average LinkedIn outreach campaign gets about 1 reply in 10. Our micro campaigns for a B2B services firm got 7 to 9 in 10. Here's how we build a micro campaign: tens of people, one strong shared signal, a message that names it, and a small offer. Then a setter team turns the replies into booked calls.
Roman J. GeorgioWe look at your market together and show you the moves worth making first, on your own or with our engineers.
FAQ
A live map of your market: every company and buyer in it, the rivals around them, and the buying signals each one is giving off, ranked with the evidence behind them. You get it inside Claude or your own agents through our MCP, in Slack, as a spreadsheet, or set up with our engineers to flow into your CRM.
Yes. We share sample rows from your own market and walk your team through how they were found, so you can check the logic for yourself before any pilot. Every number comes with the page and the date it was read from.
The public record around your buyers: communities like Reddit, LinkedIn, GitHub, job boards, company filings and annual reports, funding news, events, and public spending and grants, plus your own CRM. Sources differ by market, and we build the connector when one is missing.
Monitors read your market every day, and every signal is dated. Some signals, like breaches or outages, surface late by nature, so we favour the early ones, such as hiring, leadership changes and funding, which tell you about a buyer before they start looking.
Either. Run it yourself by connecting the MCP to Claude, Codex, Cursor or your own agents (self-serve is in beta), or have our forward deployed engineers build it around your business and run it with you.
No. We agree the strategy with you before anything runs, you approve every message before it is sent, and you see every move in a shared Slack channel. Your most important accounts are never automated.
Our LinkedIn micro campaigns for a B2B services firm reached reply rates of up to 89%, against an industry average of about 10%, and we filled four workshops in six weeks with senior engineers for CoralOS. Both are written up as case studies on our blog.
Kick-off usually takes about a week. We need your ICP, your case studies and what makes your offer different; for LinkedIn outbound, access to the account that will send.
Any event that could indicate a buyer’s needs, timing or intent: a relevant discussion, GitHub activity, engagement with a competitor, a new executive, hiring, event attendance, website behaviour, or a dormant CRM account becoming active again.
Intent data tells you a company might be in market. Scale ties each signal to the specific person and company behind it, scores them on fit, intent, timing and recency, routes the next action, and measures which signals and plays actually create pipeline.
No. Scale works alongside your existing CRM, Slack and GTM tools and sends opportunities into them. You can also reach it from your own agents via MCP.
It depends on how you run it. Self-serve plans are billed monthly and run on credits; managed builds are scoped to your market on a call with our engineers.
