For SDRs and founders running warm outbound, Trigify is a LinkedIn signal-scraping platform that flags prospects showing engagement or intent on LinkedIn and pushes them straight into outbound sequences.
Presence & Market Position
#12 of 64
AI-Native GTM Challengers
▼ 42 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Trigify is working to become the signal layer that agent-led outbound systems call when social engagement indicates timely buyer interest. Its market presence is active and highly practitioner-led, with conversation centered on turning comments, reactions, competitor engagement, and target-account activity into warmer prospecting. Common workflows combine those signals with ICP filters, lead scoring, CRM routing, and rapid follow-up. The brand also appears in broader discussions of signal-based sales stacks and content intelligence, giving it a position that extends beyond scraping toward supplying fresh inputs for automated GTM decisions.
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Business Profile
Founded in 2023, Trigify is an independent, 12-person software company with $1.3 million in recorded funding. The latest figure on file reports $1.8 million in 2024 recurring revenue. The business started from LinkedIn engagement data for warm outbound and is expanding the ways customers and agents can consume those signals through direct product workflows and developer interfaces. Its compact scale, practitioner-heavy adoption, and growing use in automated prospecting systems place it in the early commercial stage of the buying-signal market.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Trigify now ships an API, MCP surface, and CLI, giving agents three ways to retrieve and act on social engagement signals. Public workflow examples show Claude-based systems using those interfaces to monitor target accounts, pull people who engaged with relevant content, score them against an ICP, and route qualified leads into campaigns or CRM alerts. The build-out is already oriented around agent-called data rather than only a human-facing application.
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