{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"START","title":"START: Aram Shatakhtsyan, Founder & CEO, Modelence \"Build production-ready apps with AI\"","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/212a49e5\"></iframe>","width":"100%","height":180,"duration":643,"description":"Every startup can build a demo.\nThen comes everything else: authentication, databases, hosting, monitoring, email, analytics, real-time infrastructure. None of it makes the demo, and every team rebuilds it anyway.\nAram Shatakhtsyan spent nearly a decade scaling a startup and kept hitting the same thing. Too much engineering went into infrastructure that looked nearly identical from one product to the next.\nModelence is a production-ready framework and cloud platform for the era of AI-generated software, where developers spend their time on product logic instead of rebuilding the same foundation.\nGenerate a full-stack app from a prompt. Auth, database, and production deploys wired in from day one. Inspect, edit, and own the code.\nDeploy it to Modelence Cloud with production infrastructure, monitoring, scaling, and a custom domain, without assembling a stack of separate services.\nPrototypes are easy. Production isn't.\nWe filmed this episode with Aram on January 23. Since then, the AI App Builder hit #2 Product of the Day on Product Hunt, and their new Mobile Builder launched in July.\n\"Build production-ready apps with AI\"‍🎙️ Aram Shatakhtsyan, Co-Founder & CEO, Modelence on Fondo START pod‍\n00:57 — The scaling challenges that inspired Modelence01:22 — Why every startup keeps rebuilding the same infrastructure02:01 — Why TypeScript became the foundation for AI-native development03:06 — Building the TypeScript equivalent of Ruby on Rails03:45 — Why infrastructure matters more than another AI app builder04:18 — The difference between prototyping and production software05:14 — Why today's frameworks weren't designed for AI coding agents06:03 — Designing AI systems with guardrails instead of prompts07:16 — The vision for production-ready AI applications08:07 — What Aram hopes developers build with Modelence next‍Check out modelence.com","thumbnail_url":"https://img.transistorcdn.com/q-E1hh7K6IS4AfZiNy2p4MYVGcUOO8lQP92h8QbOEOA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NzVj/MDEzNjkxNjU1N2Uy/NDFhMDQ3M2ZhNWI3/NWY0MS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}