Currently in London · Founder · Product Builder
I’m Kyran Zhanat — a serial entrepreneur and software engineer focused on building scalable, technology-driven companies. My experience spans startups, production software systems, and digital platforms reaching tens of thousands of users.
Software engineering is bottlenecked not by writing code, but by understanding it. I’m building an AI system that creates persistent, codebase-level understanding, allowing developers and AI agents to reason across real repositories with grounded, file-level precision instead of fragmented context or hallucinations. The goal is to become the foundational infrastructure that dramatically reduces onboarding time, debugging cost, and the complexity of maintaining large software systems.
#1 public high school for gifted students in Kazakhstan, focused on physics, mathematics, and competitive STEM.
Kazakhstan’s flagship, autonomous, English-medium research university with a strong focus on research, innovation, and global faculty.
“I like building fast, learning from users, and turning ideas into scalable businesses.”
I combine engineering execution with product thinking and entrepreneurship — building systems, launching platforms, and iterating based on real-world feedback.
I build products and businesses from the ground up. My strength is moving from idea to execution: designing systems, building MVPs, acquiring early users, and iterating quickly.
contex.run is a persistent, codebase-level understanding layer that ingests repositories, models structure semantically, and enables AI to answer questions with grounded, file-level precision rather than hallucination.
My long-term goal is to build globally impactful technology companies — creating systems that are intuitive, intelligent, and meaningful. I’m especially interested in scalable architectures, AI-driven products, and platforms that amplify human productivity.
Proof of work — products, startups, and production systems I’ve built and shipped.
A persistent “code understanding” layer for large, unfamiliar codebases — enabling grounded, file-level answers instead of transient context and hallucinations.
Co-founded and led an online education startup delivering live and recorded courses nationwide.
Built and scaled multiple channels by testing niches, optimizing retention, and iterating with data.
Production engineering across logistics/warehouse systems and enterprise platforms — built for reliability and real operational workloads.
If you’re building ambitious products or exploring new ventures, I’m open to conversations with builders, founders, and teams.