START: Aram Shatakhtsyan, Founder & CEO, Modelence "Build production-ready apps with AI"

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Every startup can build a demo.

Then comes everything else: authentication, databases, hosting, monitoring, email, analytics, real-time infrastructure. None of it makes the demo, and every team rebuilds it anyway.

Aram 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.

Modelence 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.

Generate a full-stack app from a prompt. Auth, database, and production deploys wired in from day one. Inspect, edit, and own the code.

Deploy it to Modelence Cloud with production infrastructure, monitoring, scaling, and a custom domain, without assembling a stack of separate services.

Prototypes are easy. Production isn't.

We 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.

"Build production-ready apps with AI"

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🎙️ Aram Shatakhtsyan, Co-Founder & CEO, Modelence on Fondo START pod

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00:57 — The scaling challenges that inspired Modelence

01:22 — Why every startup keeps rebuilding the same infrastructure

02:01 — Why TypeScript became the foundation for AI-native development

03:06 — Building the TypeScript equivalent of Ruby on Rails

03:45 — Why infrastructure matters more than another AI app builder

04:18 — The difference between prototyping and production software

05:14 — Why today's frameworks weren't designed for AI coding agents

06:03 — Designing AI systems with guardrails instead of prompts

07:16 — The vision for production-ready AI applications

08:07 — What Aram hopes developers build with Modelence next

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Check out modelence.com

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