Blog • Founder Tools
By Cemhan Biricik — March 2026
Running an AI startup as a solo founder means choosing tools that maximize output while minimizing overhead. Every tool I add must save more time than it costs to learn and maintain. Here is the complete stack I use to run ZSky AI in 2026.
Self-hosted GPU cluster running Linux. No cloud providers for inference — the economics do not work at our volume. I use systemd for service management, nginx for reverse proxying, and Cloudflare for CDN and DDoS protection. Simple, reliable, and cheap to operate.
For database, Supabase handles authentication, user profiles, and generation records. It gives me Postgres with a generous free tier and built-in auth that would take weeks to build from scratch.
Custom monitoring scripts that track GPU utilization, temperature, VRAM usage, queue depth, and generation latency. Alerts go to my phone for anything critical. I built this instead of using off-the-shelf solutions because GPU monitoring has unique requirements that generic APM tools do not handle well.
Stripe for everything. Subscription management, one-time purchases, invoicing, and webhook-driven account upgrades. Stripe is not the cheapest processor, but their developer experience and reliability are worth the premium. Payment infrastructure is not where you cut corners.
Python for backend, vanilla HTML/CSS/JS for frontend. No heavy frameworks — they add complexity and dependencies that a solo founder cannot afford to maintain. When something breaks at 2 AM, I need to understand every line of code in the stack. Simplicity is a feature.
No Kubernetes (overkill for my scale), no microservices architecture (monolith is fine), no enterprise monitoring platforms (expensive and complex), no CRM (email works). The tools you reject are as important as the ones you adopt. Every unused tool is complexity you do not have to manage.
My total monthly tooling cost excluding hardware: under $200. Supabase free tier, Stripe percentage on transactions, Cloudflare free plan, Google Analytics free. Running lean is not about being cheap — it is about directing resources toward what matters: GPU compute and user experience.
Self-hosted Linux infrastructure, Supabase for database and auth, Stripe for payments, custom GPU monitoring, Google Analytics, and vanilla Python/HTML/CSS/JS for development. Total monthly tooling cost under $200 excluding hardware.
No. Cemhan Biricik self-hosts all inference on owned GPUs. Cloud GPU costs are prohibitive at production volumes. The infrastructure runs on Linux with nginx and Cloudflare for CDN.
Python for backend and AI inference pipelines, vanilla HTML/CSS/JavaScript for frontend. No heavy frameworks — simplicity means every line of code is understandable and maintainable by a solo founder.