San Francisco, California, United States
The system got built, but nobody ran it. The readout was right, but nobody executed it. The tool ended up on the shelf, and nobody answered when the number missed. Anyone who has bought GTM help knows at least one of those endings, and every AI GTM firm sells one of the three models behind them: build and hand off, diagnose and hand off, or sell you a tool and step back. I run a fourth model: agent-operated GTM. My firm takes over a revenue function for Series A-B B2B SaaS (founder-led content, customer evidence, AI search visibility, referrals, and more) and operates it. Agent systems carry roughly 80% of the execution. Human judgment carries the rest, and I answer for the outcome quarter after quarter. Engagements start with a 4-week GTM narrative sprint: strategic narrative, positioning, ICP, and persona messaging matrix. Clients tell me they understand their businesses better after 4 weeks than they ever did before. Every engine outperforms because it runs on that foundation. Retainers follow only where the fit is real. The systems are built to be audited. Every claim in a client deliverable traces to a named source, and software verifies every trace before anything renders. In one recent build, a customer quote survived the pipeline's checks, an external review, and human spot-checks. The semantic audit my agents run caught it: right words, wrong speaker. Three review layers missed what the fourth found, and that fourth layer is the product. Then there is the contract. Every engine starts as a low-risk 3-month trial. After that, terms run 6 months at a time, so the work faces a renewal decision twice a year. The system has to keep earning its seat. Build-and-transfer firms front-load their value into the handoff and need annual paper to protect their revenue. An operated system compounds, so the trial does the selling. Recent receipts: Hyperbound: ran ops and marketing from $0 to $1M ARR in 10 months, added BD in year two. We 5x'd and closed a $15M Series A led by Peak XV. Warmly: advisor since January 2024. $1M to $7.5M ARR in 2 years. Acquired by HubSpot in June 2026. Syft AI: $0 to $1M ARR in 11 months on an outbound motion built on their own product. Before that: worked in startups since 2010. First sales hire at Lavender. Built GTM motions for 94+ B2B startups since 2022, including 14 YCombinator graduates. I write about agent-operated GTM, evidence-grade AI systems, and what retention actually demands in B2B SaaS. If you run a Series A-B SaaS company and want the function operated, DM me. Your narrative is the front door.
Agent-operated GTM firm for series A-B B2B SaaS. The firm takes over a revenue function and runs it. Agent systems carry roughly 80% of execution, human judgment carries the rest, and I answer for the outcomes. Engagements start with a four-week GTM Narrative Sprint (strategic narrative, positioning, ICP, persona messaging matrix), then move to operated engines on retainer: founder-led LinkedIn content, continuous customer evidence, referral partner systems, and AI search visibility. Client work spans 94+ B2B startups since 2022, including 14 YCombinator grads. See my recommendations section for examples. The practice converted from bespoke consulting to productized, agent-operated engines in Q1 2026. Same judgment, industrialized delivery.
We invented the AI sales roleplay category. I was one of Hyperbound’s earliest advisors and the first person to try their prototype bot. We hit $1 million ARR within our first year and more than 5x’d in our second year.
We worked a miracle last year. In May, 2025, we audited the prior 12 months of pipeline data and found that many of our stalled deals correlated with ICP. I identified 4 bad fit ICPs out of 7 and changed our ICP scoring to disqualify bad fit prospects, eliminating 85% of pipeline overnight. I then completely rebuilt our marketing engine across content, SEO, AI SEO, paid ads, conferences, executive events, referrals, customer advocacy, outbound, and signals. I also hired 3 BDRs and built our first cold outbound motions. Together, we refactored every marketing channel. We hit record quarters of pipe gen within 2 quarters, and we hit our original annual goal by the end of 2026, more than 5x'ing in revenue. Before I left, I wrote the hiring plan for the next wave of marketing hires, which Hyperbound has executed on since my departure.
In Hyperbound's first year in business, I: - Taught the founders how to write LinkedIn content - Helped orchestrate our viral public launch - Built an inbound funnel that brought in 334 qualified prospects in 2024 - Owned all GTM ops and workflows - Hired our first 2 GTM hires By the end of 2024, we had passed $1 million ARR and built a brand as the inventors of our category.
$1 million to $8 million ARR. Acquired by HubSpot.