In this episode of SaaS Founder Stories, David and Ashley share how they are building Lynda AI. Not just the product, but the business.

David walks through why "vibe coding" doesn't work and what to do instead. If you're using AI agents to write code, this is your blueprint for making them actually useful. He shares how to plan the right way, from building a proper PRD to using JIRA tickets that even a junior developer could follow.

Ashley gives a behind-the-scenes look at how she’s ramping up go-to-market. She’s using tools like Trigify to track social signals, HeyReach for outbound outreach, and Breakcold as a CRM. She’s running two parallel campaigns, one with a connection message based on buying signals, and one without, to see what converts better.

If you're building a SaaS company and want to do more with less, this is your inside look at what it really takes.

What you’ll learn in this episode:

• Why vibe coding fails and how to plan AI builds that actually work

• How to structure PRDs, technical docs, and JIRA tickets

• Ashley’s live GTM experiments with social selling

• How tools like Trigify, HeyReach, and Breakcold fit into an early founder stack

• The mindset of building both product and pipeline at the same time

Subscribe for weekly episodes from founders building in public, testing in real-time, and learning out loud.

#BuildInPublic #LyndaAI #SaaSFounderStories #StartupGTM #AIagents #SocialSelling

📥 Want the framework we used to build our custom AI coding agent?
Download it here!

In this episode of SaaS Founder Stories, David Brennan shares how the team at Arkeo AI built a powerful custom AI coding agent—fully integrated with GitHub, LLMs, and their internal mono repo.

They walk through:

• Why off-the-shelf tools weren’t enough

• How they architected the system with an MCP server, vector store, and secure access

• Real-world use cases: project planning, dev docs, technical requirements, and more

• The future of AI-powered codebases and intelligent developer workflows

If you're building for developers, working with large codebases, or just curious how AI can supercharge your engineering org—this one's for you.

🎙️ Hosted by David Brennan
🔧 Powered by real-world dev pain points
💡 Inspired by what’s next in AI for software teams

In this episode, David Brennan sits down with Nik Vassev, Co-Founder & CEO of Novobeing, to explore how a lean healthcare startup is using AI agents and virtual reality therapy to revolutionize patient recovery and scale faster than teams twice their size.

Nik shares how Novobeing's clinically validated VR platform is improving outcomes for hospital patients—and how his team runs GTM, PR, content, and outbound sales using a stack of custom GPTs and AI workflows.

🧠 What you'll learn:
– Why VR therapy is becoming the new standard in hospitals
– How Novobeing uses Fixer AI for inbox triage and daily ops
– Nik’s system for training GPTs to match brand voice across all content
– How to run PR without an agency using Prowly + AI
– What it takes to build an autonomous SDR that personalizes at scale

Whether you're a SaaS founder, healthcare innovator, or AI enthusiast—this is one you don’t want to miss.

🎙 Hosted by David Brennan | Founder, ultrarunner, and AI builder at Arkeo AI

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In this episode of SaaS Founder Stories, I talk with Matt Verlaque, co-founder and CEO of Precision, about what it looks like to actually run your company with AI — not just use it on the side.

Matt’s team runs sales follow-up with Grain and GPT. They write code with Cursor and OpenCommit. Their lead magnet is a custom GPT, not a PDF. And every team member is expected to log how they used AI — every single day.

KEY TAKEAWAYS
→ Precision uses Cursor, Copilot, and OpenCommit for 3x faster dev
→ Sales follow-up and proposal gen are fully AI-automated
→ Their lead magnet is a custom GPT that qualifies leads in real-time
→ Internal ops are driven by Slack standups and AI-based accountability
→ AI isn’t a side tool — it’s part of every workflow, across every team

SOUND BITES
→ "You don’t get headcount until you’ve maxed out AI."
→ "I haven’t written a commit message in months — AI handles it."
→ "Our lead magnet isn’t a download. It’s a working GPT."
→ "AI isn’t just speed — it’s leverage across the whole business."

This is one of the most tactical breakdowns of how to build and run lean using AI as your core operating system. Subscribe to SaaS Founder Stories wherever

In this episode of SaaS Founder Stories, I sit down with Spencer Dusebout, founder and CEO of Aidium, to break down the internal playbook behind one of the most AI-forward companies I’ve talked to.

At Aidium, AI isn’t just a feature — it’s a rule: no department gets headcount until they’ve implemented AI. From support to QA, engineering to GTM, every team builds with tools like Cursor, ChatGPT, and Figma AI to move faster and operate lean.

KEY TAKEAWAYS
→ Support volume grew 2x — without adding reps, thanks to in-app AI
→ Engineers use Cursor + GPT to write unit tests and accelerate dev cycles
→ Figma AI and prototype prompting cut design feedback loops from weeks to hours
→ QA runs on AI test coverage — no more manual bottlenecks
→ Strategic planning, internal research, and outbound are all AI-augmented

SOUND BITES
→ "We don’t hire until we’ve implemented AI. That’s the policy."
→ "AI isn’t just writing code — it’s rewriting how we operate."
→ "Design cycles used to take two weeks. Now it happens in one meeting."
→ "We’re using AI to build faster. But we’re also using it to think faster."

This is one of the most actionable founder stories on running an AI-first company from the inside out. Subscribe to SaaS Founder Stories wherever you listen.

In this episode of SaaS Founder Stories, I sit down with Jessie Shipman, founder and CEO of Fluincy, to unpack what it really looks like to build a SaaS company alone — and compete with funded teams by making AI her co-founder.

Jessie’s not technical. She doesn’t have a sales team. And she hasn’t raised a dollar. But she’s built a working product, a repeatable GTM motion, and a lead machine — all by using AI tools like GitHub Copilot, ChatGPT, and Copy.ai as operational teammates.

KEY TAKEAWAYS
→ GitHub Copilot lets Jessie ship product changes herself
→ ChatGPT writes grant apps, blog posts, docs, and onboarding
→ Copy.ai powers deep research on 1,500+ leads
→ Custom GPTs act as lead magnets and onboarding tools
→ Fluincy is bootstrapped, solo-built, and AI-powered at every level

SOUND BITES
→ "Copilot lets me ship changes even though I’m not a dev."
→ "AI isn’t just saving me time — it’s helping me punch way above my weight."
→ "Every part of this company runs on AI — because it has to."
→ "Being a solo founder doesn’t mean doing it all yourself. It means using the best leverage you can."

This episode is a must-listen for anyone

In this episode of SaaS Founder Stories, I sit down with Paul Culvenor, co-founder and CEO of Hevi, to talk about what it actually means to build an AI-native company — not just ship AI features.

Hevi is rethinking how software companies operate: Cursor for dev, Gemini for meeting summaries, GPT for strategy, and AI workflows embedded into marketing and finance. From prototyping to board planning, AI isn’t just helping — it’s doing the work.

KEY TAKEAWAYS
→ Hevi uses AI across product, GTM, and internal ops
→ They prototype entire features using Cursor, Copilot, and Replit
→ Strategic decisions are modeled with GPT Projects
→ Internal documentation and BD research are fully AI-augmented
→ They run lean, move fast, and avoid legacy drag

SOUND BITES
→ "We’re not bolting on AI — we’re building with it from day one."
→ "Our internal GPT gives better strategy feedback than some advisors."
→ "AI agents won’t support operations. They’ll become operations."
→ "This isn’t SaaS anymore. It’s services as software."

This episode is a tactical deep dive for any founder trying to build fast, ship lean, and unlock AI at the company level. Subscribe to SaaS Founder Stories wherever you listen.

In this episode of SaaS Founder Stories, I talk with Francis Brero, co-founder and CPO of MadKudu, about what it really looks like to build an AI-native company — one where LLMs aren’t just powering the product, but actively shaping how the team works, writes, builds, and ships.

From switching to Cursor as their coding assistant, to writing documentation for machines instead of humans, MadKudu is running fast, lean, and deeply AI-driven.

KEY TAKEAWAYS
→ MadKudu moved from GitHub Copilot to Cursor for deeper AI dev workflows
→ Teams feed product specs, architecture docs, and support data directly into the AI
→ Documentation is now written for LLMs — not just new hires
→ Every team runs weekly AI hackathons to build the muscle
→ The future of SaaS won’t be about moats — it’ll be about distribution and speed

SOUND BITES
→ "Cursor became our senior engineer. It knows our code and the business."
→ "We don’t write docs for people. We write them for LLMs."
→ "AI won’t replace your team — but teams who use AI will outpace you fast."
→ "The value of AI only compounds if you practice — every week."

This is one of the most tactical breakdowns yet on how to make AI a company-wide advantage. Subscribe to SaaS Founder Stories wherever you listen.