Latest posts from Code Story | Startup Podcast for Technical Founders
Render is usually the safer default for teams that want a mature, developer-focused PaaS with clear service types, Blueprint-based infrastructure definitions and a familiar path from Git to production. Sevalla is a strong alternative for teams that want broad location choice, usage-based infrastructure, integrated application pipelines and adjacent services such as object storage under one control plane.
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Cloudinary is usually the better fit when the goal is to manage, transform, optimize and deliver visual assets through one media platform. Transloadit is usually the better fit when files must pass through a programmable, multi-step processing pipeline that can ingest from one service, validate or transform several file types, and export results somewhere else.
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Cloudflare D1 is usually the cleaner choice for applications already built on Workers or Pages, especially when the workload is read-heavy and the team wants one integrated Cloudflare stack. Turso is usually the stronger choice when the database must work across runtimes, support database-per-tenant or database-per-agent designs, deliver local reads through embedded replicas, or handle more concurrent write activity.
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Dumi Mabhena started a podcast to share positive stories from Zimbabwe and quickly realized the biggest barrier wasn't content—it was tooling. We sat down with him to explore how a frustrating personal experience led to building Hilite, a SaaS platform that unifies podcast recording, editing, and publishing in one place.
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Compare Hyperproof vs Vanta across frameworks, integrations, automation, risk, workflows and pricing to choose the right GRC platform.
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Varant Zanoyan spent years building machine learning infrastructure at Airbnb before realizing the real bottleneck wasn't the models themselves—it was the data pipelines. We dive into how he turned that insight into Zipline AI, a feature and embedding platform that's solving one of the hardest problems in modern ML infrastructure.
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Itamar Syn-Hershko built NeverBlink AI by doing what many successful founders do—solving his own painful problems first. After years of emergency database calls at his consulting agency, he and his team turned their internal tools into a product that reached $1M ARR in just 18 months. Here's how he navigated the messy journey from MVP to platform.
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Steven Walchek's path to founding Liminal wasn't a straight line—it was more like hitting every branch on the way down from the startup tree. But that's exactly what gave him the insight to build the enterprise GenAI governance platform that regulated companies desperately need.
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Drew Dillon, founder of Brief, discovered that AI agents are missing something critical: institutional memory and product judgment. By building the "why" into AI systems, he's helping teams operate at AI speed without losing sight of their strategic vision.
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Behnam Bastani built the infrastructure that powers Meta's VR ecosystem and Roblox's AI moderation at scale. Now he's tackling a bigger problem: how to bring AI inference anywhere, on any hardware, without sacrificing performance. We sat down with him to explore why the future of AI isn't in centralized cloud compute—it's distributed, local, and fundamentally different from what we're building today.
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Dave Garcia spent years chasing AI before stepping back to ask the real question: what problems are we actually solving? In this episode, the Pensero co-founder breaks down why measuring AI impact—not just adoption—is the key to building something that actually matters in the tech management space.
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Rickard Hansson is back on Code Story with a bold new vision for AI-powered app development. After building Weavy, he's now tackling the core problem with today's AI builders: they're gambling on probabilistic models to do deterministic work. With Gainable, he's flipped the script entirely—moving the LLM earlier in the pipeline and letting a compiler handle the actual coding.
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