Top perspectives
Top perspectivesBrian NzauBuilt an AI-native GTM engine and run SKOs
Senior AI Strategy and Solutions Manager at revlogicOpened revcenter AI‑GTM enablement spaceBoosted Splash campaign conversion 25% via A/B testing“I stopped trying to keep up with every AI drop and started building one live workflow a week with the reps I coach, because the job changes faster than any course can cover.”
Jason M. LemkinBuilt AI GTM agents and runs the largest B2B AI community
Seed Stage Lead Investor & Founder Champion at SaaStr AI FundFounded $70M SaaStr FundScaled EchoSign to $100M+ ARR“I replaced nearly our entire GTM team with 20 AI agents and 1.2 humans, and the only way to stay current is to actually run the tools yourself. Pick one agent this week, train it with your best rep's best playbook, and review its outputs daily for 30 days.”
Amy CookBuilt Fullcast’s AI‑driven GTM platform for high‑growth tech firms
Co-Founder and Chief Marketing Officer at Fullcast. Grandma name: “Glam-ma” 😁Led Simplus marketing to $250M Infosys acquisitionFounded Stage Marketing, CEO for 15 years“I stopped treating GTM planning as an annual project and started running it as a living product, because AI turns every plan into something that needs adjusting by the quarter. The skill that matters now is not knowing the latest tool; it is learning to interpret what the AI is signaling and deciding when to override it.”
Matteo TittarelliBuilt GTM Engineer School to train GTM engineers on AI‑driven market shifts
Duolingo streak keeper 🇯🇵Doubled Airbyte pipeline growthClients: Toast, Common Room, Ahrefs“I stopped chasing every new AI tool and started building small, real workflows every week. That hands-on rhythm is what actually keeps the skills sharp, because the fundamentals — ICP, messaging, signal triangulation — stay the same even as the tooling changes.”
Brett JansenBuilt AI‑focused GTM frameworks for health‑tech startups
Commercial Growth Advisor$175M+ enterprise deals closedAdvised 50+ startups raising $275M+“I stopped chasing every new AI tool once I realized most of them just helped me fail faster on the same broken workflows.”
Kyle NortonCRO at Lassie
Grew Owner.com $3M to $21M ARRGrew League revenue to $20M+“I spend 4–8 hours a week actually using AI, not reading about it, because the job changes too fast for theory. Build small, real workflows yourself, share what breaks in public or with your team, and treat every failed experiment as the data that keeps your edge.”
Lara ShackelfordChief Executive Officer at HAWKSMOOR.AI
Grew DataStax $5M to $25M ARRFortune 50 cloud: $23B to $51B“I don't chase every tool; I follow a small set of voices I trust, run one real experiment each week on live work, and turn what works into a named skill my team can reuse. The job keeps changing, but reusable judgment compounds faster than prompt tricks.”
Vishveshwar JatainExpert at U of Digital
Marketing lead at two acquired adtech startupsMediaContext: 40K media entities mapped“I stopped trying to track every new AI tool and started building small, stupid automations for my own agency ops instead; that is where the durable skill lives.”
Glenn RachlinHead of Strategic GTM at OpenRouter
First sales hire at AlchemyAlchemy enterprise ARR under $2M to $50M“I stopped trying to keep up and started building. At OpenRouter my week is new model drops becoming new workflows, so the skill is now wiring agents together, not memorizing features. Pick one workflow you actually run, automate it badly, fix it, and you will be ahead of most people reading release notes.”