Thresh
Signal-based outbound
for markets where volume doesn't work.
An intelligence system that researches your market, scores buying signals, and produces outbound plays your team can run this week.
The System
From raw market data to outreach ready to send.
Sample Output
What a run produces.
Food Safety
The system found that Naked Nutrition displays an NSF certification badge their own FAQ contradicts. Consumer Reports ranked them last of 23 protein powders for lead content. Nobody was reaching out to them about it.
That finding became an email attachment for a food safety testing company. It started a conversation.
Construction Tech
8 buying signals scored across the commercial construction market. 3 outbound plays targeting firms with active federal projects, recent QA hires, and open RFIs — each built on structured data from federal procurement databases and state licensing boards.
Full intelligence brief, play design, and operator checklist delivered in under a week.
Use Cases
Different starting points, same system underneath.
No outbound yet
The full run: market research, scored signals, outbound plays, proof-of-value docs, and an operator checklist. Go from zero to sending.
Have the tools, need the system
Clay tables, enrichment pipelines, AI agents, CRM integration. Built, documented, and handed over with walkthroughs.
Already running outbound
Signal audit on what's working and what's not. New plays, new verticals, play iteration based on outcome data.
Who Built This
Lucas Linares. Ex-Clay Labs GTM Engineer. 4 years in B2B sales (SDR → AE) at Tonic.ai, Rutter, and Clay Labs. Built this system to do in hours what used to take a team weeks — deep market research, signal detection, and outbound plays for niche verticals where generic doesn't reach.
Let's Talk
See what the system finds for your market.
30-minute diagnostic. Walk through a sample run, talk through your vertical, and see if it's a fit.
Book a Diagnostic Call