Code Story
Code Story

S2 E16: Kyle Campbell, CTO.ai

Kyle Campbell is a native Canadian and high school dropout growing up in Nova Scotia. He's been working with technology since he was eight years old. Learning computers, building websites, and even starting an online record label. A husband and a dad, he loves the outdoors, camping and motorbik

Featured Speakers

Noah Labhart - Startup Founder & CTO HostKyle Campbell Guest

Topics Discussed

Episode Summary

Executive Summary: Kyle Campbell, founder and CEO of CTO.ai, explains how the company evolved from bootstrapped DevOps services into a product-led platform for making DevOps easier inside developer workflows like Slack. He emphasizes throwing away early code, using opinionated but data-informed roadmapping, hiring for adaptability, and balancing scalability with speed. The episode also covers his leadership lessons, recent layoffs, and the company’s remote-work-driven future.

Main Topics: From services-first to product-led transformation (Priority: 5/5): CTO.ai began as a profitable DevOps-as-a-service business that closely studied customer pain points before building product. This allowed the team to discover patterns, iterate safely, and transition into a platform strategy. Building MVPs without accumulating technical debt (Priority: 5/5): Campbell stresses keeping early products thin, repeatedly discarding early versions, and using low-cost interfaces like CLIs and Slack to validate concepts quickly before committing to scale. Product roadmap strategy and prioritization (Priority: 5/5): The roadmap is intentionally opinionated early, then becomes more data-driven as customer feedback accumulates. Campbell uses frameworks like ICE/RICE and checkpoints to guide what gets built next. Hiring and team building in a changing startup (Priority: 4/5): He describes hiring as one of the hardest parts of the business, especially during a shift from services to product. He values speed, adaptability, decisiveness, culture, and long-term growth headroom. Scalability: organizational and technical (Priority: 4/5): Campbell distinguishes between organizational scalability and technology scalability, arguing that early-stage companies should prioritize learning and velocity first, then build for scale once product-market fit is clearer. Leadership, regret, and handling layoffs (Priority: 5/5): He reflects on the emotional challenge of shrinking the team from 60 to 21 and frames the experience as a painful leadership mistake shaped by rapid growth and COVID-era uncertainty. Remote work and the future of DevOps (Priority: 4/5): Campbell sees the move to remote work as a major tailwind for CTO.ai, since developer tools and collaboration increasingly live in Slack and other communication hubs.

Key Arguments: Selling into customer pain points before building a product helped CTO.ai generate revenue, learn faster, and discover a more viable platform direction. Throwing away early code is a feature, not a failure, because it prevents technical debt and enables better second and third iterations. In early startups, founder intuition should guide product direction until customer data becomes strong enough to override opinion. Hiring should be based on the business stage, with clear archetypes and enough headroom for employees to grow as the company scales. Scalability should not be over-optimized too early; velocity and learning matter more until product-market fit and growth are established. A strong team and culture are the most durable achievements of a startup; technology and code are less memorable than the people and experiences. The shift to remote work creates a structural opportunity for developer experience tools embedded in communication platforms like Slack. Founders should choose problems they deeply care about, because startup endurance requires personal commitment and meaning, not just market opportunity.

Data Points: Business model start: Bootstrapped for the first 1.5-2 years - CTO.ai focused on professional services and DevOps-as-a-service before becoming product-led. Revenue: Eight figures - Campbell says the business generated eight figures in revenue last year during the services-led phase. Company age in-market: 3 years - He says the company is still early on the product/platform side despite being in business for three years. Iterations discarded: 4 to 5 versions - The team repeatedly threw away early codebases and rebuilt the product. Team size peak: 60 people - Campbell says the company grew quickly to 60 employees before later restructuring. Team size after reduction: 21 people - He describes a difficult reduction in force from 60 down to 21. Timing of company founding: 3 days before his son was born - Campbell mentions this to explain the urgency behind building something enduring. Launch timeline: Community edition launched last fall; Slack Ops MVP launched in Q1 - He describes staged product releases after multiple rounds of validation. Product-market fit/growth heuristic: 30% month-over-month growth with less than 10% churn - Campbell uses this as a rough point where scalability should start to matter more. Community focus: Growing Slack community - He says CTO.ai is investing heavily in an Ops community centered around DevOps and remote collaboration.

Pivotal Quotes: "We probably threw away four to five different versions of what we built." — Kyle Campbell: He explains the team’s deliberate choice to discard early implementations to avoid technical debt. "We don't know how to build it right. We're completely wrong. And over some amount of time, we should try to be right." — Kyle Campbell: He describes the mindset needed for early-stage startup product development and engineering. "If you need encouraging words don't do it." — Kyle Campbell: He attributes this blunt advice to Elon Musk while discussing founder commitment and resilience.

Implications: For founders, the episode argues for services-led learning, ruthless iteration, and hiring for adaptability. For DevOps teams, it highlights the growing importance of developer tools embedded in collaboration platforms as remote work reshapes workflows.

🔓 Sign Up for Unlimited Episode Search

About Code Story

Code Story is a podcast featuring startup founders, tech leaders, CTO's, CEO's, and software architects, reflecting on their human story in creating world changing innovation, disruptive digital products. Their tech. Their products. Their stories.

View all episodes from Code Story