Go to market

The ERP for the AI Revolution is here

The ERP for the AI Revolution is here

John Glasgow, founder of AI-native ERP Campfire, discusses his journey from a Google Sheets MVP to displacing NetSuite. He covers the importance of founder-led sales to $1M ARR, using a narrow feature set as a wedge into the market, and how the rise of AI flipped the script on what constitutes a "safe" enterprise software choice.

⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase

⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase

Yaser Al, founder of Chatbase, shares his journey of bootstrapping the company from a side project to a $10M ARR business. He details his product-led growth strategy, the evolution of the tech stack from early RAG to a multi-model harness, and his vision for AI agents as 'Chief Customer Officers'.

Make Something Agents Want

Make Something Agents Want

The hosts explore the dawn of an agent-driven economy, spurred by tools like OpenClaw and social platforms like MoltBook. They discuss the critical shift for developers to build tools that AI agents, not just humans, will choose, focusing on the new go-to-market strategies, the rise of swarm intelligence, and the essential infrastructure required for this new paradigm.

How to be a CEO when AI breaks all the old playbooks | Sequoia CEO Coach Brian Halligan

How to be a CEO when AI breaks all the old playbooks | Sequoia CEO Coach Brian Halligan

Brian Halligan, HubSpot co-founder and Sequoia's in-house CEO coach, shares his frameworks for building and scaling tech companies. He details his LOCKS framework for evaluating founders, offers tactical advice on hiring "spiky" talent over consensus picks, and discusses the future of go-to-market strategies in the age of AI.

ElevenLabs CEO: Why Voice is the Next AI Interface

ElevenLabs CEO: Why Voice is the Next AI Interface

Mati Staniszewski, CEO of ElevenLabs, discusses the company's strategy for rapidly shipping research-grade AI. He covers their organizational structure of small, autonomous teams, a global and remote-first hiring philosophy, the transition from a creator-focused product to an enterprise platform, and the lessons learned in navigating complex licensing and scaling a go-to-market team.

Good News For Startups: Enterprise Is Bad At AI

Good News For Startups: Enterprise Is Bad At AI

A viral MIT report claimed 95% of enterprise AI projects fail. This isn't because AI doesn't work, but because large companies are ill-equipped to build it. This creates a massive opportunity for startups that can deliver functional, integrated AI solutions where enterprises and established vendors fall short.