Elixir Mentor

In this episode of the Elixir Mentor Podcast, I chat with Rob Walling — serial entrepreneur, author of The SaaS Playbook, founder of MicroConf, co-founder of TinySeed, and the guy who bootstrapped Drip to a successful exit. With over 20 years of experience and investments in 230+ B2B SaaS companies, Rob shares the playbook for building software businesses without venture capital.Rob breaks down his stairstep method of entrepreneurship, explaining why technical founders should start with small wins on existing marketplaces before attempting a standalone SaaS product. We get into the common traps developers fall into — refusing to learn marketing, building products that "sell themselves," and bootstrapping two-sided marketplaces without an existing audience. Rob also shares the full Drip origin story, from a plateauing email tool to a marketing automation platform that took off after listening to customer feedback.We cover the four core SaaS skills every founding team needs (marketing or sales, product, and engineering), how to decide between finding a co-founder and learning to sell on your own, and where successful SaaS ideas actually come from — 72% were discovered at a day job. Rob also weighs in on how AI is reshaping the SaaS landscape, why he doesn't believe in a "SaaS apocalypse," and what really drives company valuations. His final advice for technical founders: think in years, not months, and invest in learning entrepreneurship the same way you invested in learning to code.Resources Mentioned:- The SaaS Playbook: https://saasplaybook.com- MicroConf: https://microconf.com- TinySeed: https://tinyseed.comConnect with Rob:- Website: https://robwalling.com- X/Twitter: https://x.com/robwalling- LinkedIn: https://www.linkedin.com/in/robwalling- Podcast: https://www.startupsfortherestofus.comSponsors:- Paraxial.io: https://paraxial.io- Jido: https://agentjido.xyz/discordSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

In this episode of the Elixir Mentor Podcast, I chat with Enrique Leigh, founder of Prende Café in Chile. We explore how he built a specialty coffee subscription business using Phoenix LiveView, his journey from marketing and ad tech to becoming an Elixir developer, and why he chose custom e-commerce over platforms like Shopify.Enrique shares the WordPress crash during a Chile vs Brazil match that sparked his interest in Elixir, and how building his own coffee business became the perfect way to finally learn the language. We discuss UX principles from "Don't Make Me Think," marketing frameworks like Jobs to Be Done, and the counterintuitive lesson that adding more checkout steps can actually increase conversions. He also explains the specialty coffee value chain, from sourcing beans in Brazil to roasting and running a physical café alongside the e-commerce platform.Our conversation covers practical entrepreneurship topics including MVP philosophy, building subscription and coupon systems with Mercado Pago, using Oban for job scheduling, and content marketing strategies that work. Enrique shares insights on balancing Iron Man training with running a family business, productivity techniques from the Flow Research Collective, and the evolving landscape of ad tech after GDPR. We also discuss his future goals of learning Nerves to build IoT coffee machines and the growing Elixir community in Chile.The episode wraps up with advice for aspiring entrepreneurs: just launch it. Enrique emphasizes that the cost of inaction is often greater than the cost of action, and with tools like LLMs that work remarkably well with Elixir, there's never been a better time to build your own products.Resources Mentioned:- Don't Make Me Think: https://sensible.com/dont-make-me-think/- Oban: https://getoban.pro/- Jido: https://agentjido.xyz/discordConnect with Enrique:- Website: https://www.prendecafe.cl- X/Twitter: https://x.com/EnriqueLeigh- LinkedIn: https://www.linkedin.com/in/enriqueleigh/Sponsors:- Paraxial.io: https://paraxial.io- Jido: https://agentjido.xyz/discordSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

In this episode of the Elixir Mentor Podcast, I chat with Coby Benveniste and Daniel Garcia-Shulman from MarkeTeam.ai about building intelligent AI marketing agents with Elixir. They share their experience migrating from Python and React to a full Elixir and LiveView stack, and explain why the BEAM VM is ideal for powering autonomous agent workflows.Coby and Daniel explain their approach to agent architecture, including why they chose gen state machine over gen server for managing agent state machines. They walk through the ReAct pattern (reasoning, actions, observations) and how it maps naturally to Erlang's state machine behaviors. The conversation covers their custom marketing strategy LLM, how they use RAG patterns for brand context, and why specialized agents outperform single all-purpose agents.We explore the technical details of their stack, including how they handle DevOps without a dedicated team using mix release, their use of Fun with Flags for feature flagging, and how Broadway and Oban power their data pipelines. The discussion also covers practical workflows with Claude Code, context management using Beads, and the usage rules library for better LLM documentation.The episode wraps up with insights on hiring Elixir developers, the emerging field of AEO (Answer Engine Optimization), and advice for developers learning Elixir with LLM assistance. Whether you're building AI agents, exploring marketing automation, or curious about advanced Elixir patterns, this conversation offers practical insights from engineers shipping production AI systems.Resources Mentioned:- MarkeTeam AI: https://www.marketeam.ai- Beads (Claude Code context tool): https://github.com/steveyegge/beadsConnect with Coby & Daniel:- Coby: https://www.linkedin.com/in/coby-benveniste/- Daniel: https://www.linkedin.com/in/danielegsh/SUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com

In this episode of the Elixir Mentor Podcast, I chat with George Guimarães about Soothsayer, his time series forecasting library inspired by NeuralProphet and built on Axon and NX for business data analysis.We explore how Soothsayer decomposes business data into seasonal components, handles holidays as special events, and uses neural networks to model nonlinear patterns. George explains why Elixir's ecosystem with NX, Axon, and Bumblebee provides unique advantages for machine learning workflows, allowing you to run models directly in your supervision tree without external infrastructure.The conversation expands into why Elixir is particularly well-suited for AI agent development. George shares insights from his current work building agentic commerce solutions, where the BEAM's actor model, fault tolerance, and message passing provide battle-tested patterns that other ecosystems are now trying to replicate for LLM workflows. We also discuss AEO (Agent Engine Optimization) as the new SEO, and how websites will evolve to serve both human and agent visitors.Whether you're interested in time series forecasting, building AI-powered applications in Elixir, or understanding why the BEAM's concurrency model is perfect for the agentic future, this conversation offers valuable perspective from an Elixir community OG.Resources Mentioned:- Soothsayer: https://github.com/georgeguimaraes/soothsayerConnect with George:- X: https://x.com/georgeguimaraes- Website: https://georgeguimaraes.comSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com/?utm_source=elixir-mentor

In this episode of the Elixir Mentor Podcast, I chat with Elixir creator José Valim about Tidewave, the AI coding agent that lives inside your web framework. José shares the journey from falling in love with MCP to discovering its limitations, and how Tidewave solves the copy-paste problem that plagues AI-assisted development.We explore how Tidewave integrates directly with your browser to eliminate tedious workflows, automatically detecting exceptions and validating changes without manual intervention. José explains why the tool now supports Phoenix, Rails, Django, FastAPI, Flask, and Next.js, and how building one feature benefits all frameworks simultaneously. The conversation covers prompting strategies, context management, and the unique challenges of building Tidewave with Tidewave.José offers candid insights on why MCP has fundamental limitations for user experience, the security concerns around AI agents, and why Elixir's message-passing architecture makes it ideal for building agentic systems. We discuss the evolving type system in Elixir, code review workflows with AI, and the upcoming Tidewave features including multi-element inspection and symbol search.The episode concludes with José's perspective on transitioning from open source maintainer to product owner, collecting user feedback through Discord, and exciting developments with Tauri for building desktop applications with Elixir. This conversation provides valuable insights for developers interested in AI-powered tooling and the future of web development.Resources Mentioned:- Code Benchmark: https://github.com/Tencent-Hunyuan/AutoCodeBenchmarkConnect with José:- X: https://x.com/josevalim- Tidewave: https://tidewave.ai- Dashbit: https://dashbit.coSUPPORT ELIXIR MENTOR- Elixir Mentor: https://elixirmentor.com