Open Source Startup Podcast

In this episode, our co-hosts Robby and Tim talk with Paperclip Co-Founder Dotta (Nate) whose viral agent orchestration platform has taken off over the past several months as more teams adopt agents at work.
Their open source, also called paperclip, has >75K stars on GitHub and is becoming the de facto way to manage a team of agents.
This episode explores what it really means to build an “agent-led company.” Rather than thinking of AI agents as isolated tools, Paperclip treats them like employees working toward shared goals, with the platform acting as the company that coordinates them.
We discuss why existing AI workflows (whether it’s dozens of Claude Code tabs or standalone coding agents) break down at scale, and how Paperclip provides a unified interface for managing projects, agents, tasks, context, and budgets across any model or AI harness.
From marketing and documentation to customer support triage and software development, the conversation dives into how teams can assign the right agents to the right work while keeping humans in control through evaluation, reflection, and orchestration.
We also unpack the challenges and opportunities of building an open source agent platform in one of AI’s fastest-moving markets.
The discussion covers Paperclip’s explosive early growth, the realities of maintaining a ton of community pull requests, security risks in agentic systems, and why the future isn’t about replacing people with AI - it’s about enabling individuals and organizations to scale their impact through coordinated agents.
Looking ahead, we explore Paperclip Cloud, enterprise workflows, governance, and why the next frontier for AI isn’t just better models, but better memory, context, and systems for managing an entire workforce of agents.

This episode has our co-hosts Robby and Tim in conversation with Warp founder Zach Lloyd as he shares the company story and decision to open source their core product: the terminal.
They now provide an open source agentic development environment (born out of the terminal) which is also called warp and has almost 65K stars on GitHub.
Zach discusses his frustration with the traditional terminal and how it inspired him to rebuild it from first principles. Originally conceived before ChatGPT as a more intuitive, collaborative command-line experience, Warp quickly resonated with developers and has since grown to 1 million users.
Lloyd discusses the company’s decision to build Warp in Rust, its early reluctance to open source the product, and how the rise of coding agents transformed Warp from a modern terminal into a broader agentic development environment.
The conversation also explores Warp’s evolving product vision: a terminal, agent harness, and cloud platform that can orchestrate different models and coding tools without locking companies into a single provider.
Lloyd explains how Warp uses agents to triage issues, write and review code, test interfaces, and accelerate open source contributions while keeping humans involved in key decisions.
Ultimately, the episode is about how AI is reshaping software development and Warp’s ambition to become the platform that turns ideas, community feedback, and company workflows into shipped software as efficiently as possible.

This Open Source Startup Podcast episode has our co-hosts Robby and Tim in conversation with Pavlo Baron from Platform Engineering Labs - creators of open source infra-as-code platform formae.
This podcast explores why traditional infrastructure-as-code tools like Terraform and Pulumi can struggle with state, drift, and the disconnect between code and real-world infrastructure. Pavlo shares lessons from building Instana and explains how those experiences led to Formae, an open-source approach that treats infrastructure state as accessible, executable code using Apple’s Pkl language.
The conversation also looks at what infrastructure management needs in the AI era. By reducing low-level complexity and giving both humans and AI agents safer abstractions for discovering, modifying, and reconciling infrastructure, Formae aims to make infrastructure automation more reliable and less labor-intensive.

This Open Source Startup Podcast episode has our co-hosts Robby and Tim in conversation with Dr. Felipe Huici, CEO of Unikraft - the compute layer for sandboxes, AI agents, or any workload with VM-grade isolation.
Their open source, also called unikraft, has 4K stars on GitHub and provides a next-generation cloud native kernel.
This episode explores how Unikraft is building infrastructure for the next generation of AI agents, arguing that agents should run in virtual machines rather than containers. The conversation focuses on the unique requirements of agentic workloads: fast startup times, the ability to pause and resume state, strong isolation, and efficient resource utilization at massive scale.
Unikraft’s technology enables lightweight virtual machines that can start in under 10 milliseconds, helping companies reduce latency, lower infrastructure costs, and run large numbers of ephemeral agents on minimal hardware. The discussion also covers emerging AI infrastructure needs such as checkpointing, branching, headless browser automation, and GPU access.
The podcast also traces Unikraft’s origins from an academic research project to an open-source Linux Foundation initiative and, eventually, a startup founded in 2022.
The conversation examines customer adoption, the role of Unikraft as foundational infrastructure for AI platforms, competition and collaboration within the agent ecosystem, the future of GPUs and virtualization, and lessons learned from building a company in the rapidly evolving cloud and AI infrastructure market.

This Open Source Startup Podcast episode has our co-hosts Robby and Tim in conversation with James Bayer, Chief Product Officer at software development platform Flox.
Flox's open source, also called flox, provides a software environment platform powered by package manager Nix.
In this episode, James shares lessons from his career across Cloud Foundry, Pivotal, and HashiCorp, where he helped turn widely adopted open-source projects like Terraform into sustainable businesses. His core takeaway is that support-only open source is difficult to scale; successful companies usually monetize the “multiplayer” capabilities that teams and enterprises need while keeping individual usage free.
Now at Flox, James sees a similar opportunity built on top of Nix, a powerful but historically complex technology. He joined because Flox makes Nix dramatically easier to use, helping developers and AI agents manage software environments and dependencies. He also discussed the balance between open-source principles and commercial viability, and why he remains optimistic about the future of software development in the age of AI.