For B2B sales and marketing teams doing social selling, Highperformr is an AI GTM platform that pairs a 700M-contact, 54M-company intent database with AI agents that draft and schedule LinkedIn and X content to turn signals into pipeline.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Highperformr is positioning itself as a social-selling and revenue platform that combines company and contact data with agents for publishing and audience engagement. The product brings prospect signals, content drafting, and scheduling into the same workflow for teams using LinkedIn and X as active GTM channels. Its market footprint is early, with no distinct practitioner conversation established around the product yet. The current product thesis connects social activity with account intelligence and pipeline work, giving B2B teams a more operational way to run social programs.
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Business Profile
Highperformr launched in July 2023 and raised a $3.5M seed round alongside the launch of its first product, an AI GTM platform combining a large B2B contact and intent database with AI-driven LinkedIn and X content workflows. Co-founded by Srivatsan and Ramesh, the company remains independent and early-stage, with headcount and later funding rounds not yet on the public record. Its own framing centers on collapsing prospecting, enrichment, and social outreach into one workspace rather than a stack of separate point tools.
Agent Readiness
Not yet graded.
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Highperformr's own product runs on AI agents that draft and schedule LinkedIn and X content from the intent signals it surfaces, but that automation sits inside the platform rather than being exposed as a public agent surface. No API, MCP, or CLI documentation is on file yet for teams looking to connect Highperformr into their own agent stacks.
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