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Andrew1326/README.md

Andrii Manzhola

Co-Founder @ SEOG · software architect · AI-agent engineer
I design and ship AI SaaS products end to end — architecture, backend, frontend, infra, launch.

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🚀 What I'm building

Eight products taken from idea to production — I own the architecture on all of them and write most of the code.

Product What it does
SEOG AI local-SEO platform — Google Business Profile management, map-pack geo-grid rank tracking, review sync + published replies, competitor and AI-visibility intelligence. NestJS + Next.js, with an MCP server so agents can run local SEO from the terminal. seog.ai
VidVibe AI video platform — generation, editing and multi-channel publishing. Next.js app, NestJS + BullMQ pipeline, FastAPI ML service (speech-to-text, smart reframe). vidvibe.io
Terminal Skills Marketplace and open library of AI-agent skills — portable SKILL.md files for Claude Code, Codex, Gemini CLI and Cursor, plus an npm CLI and an LLM-backed validator. terminalskills.io
c10r Multi-tenant CRM with an AI gateway on top — task routing across hosted and self-hosted models, receipt parsing, voice UI, workspace-level identity. c10r.io
Skyline Deployment platform that takes a local-business site from repo to live on Cloudflare — stateless control panel driving the Cloudflare and GitHub APIs.
Card Forge Multi-tenant SaaS for digital smart cards — sellers create, theme and manage cards; image generation built into the editor.
Live Bridge Live speech translation running entirely on local AI — Whisper + NLLB on GPU, sub-second turnaround, no cloud dependency.
3D Drone Tour Browser-native 3D tour engine — drone capture turned into a navigable property walkthrough with floor-plan sync.

🛠 How I work

Architecture. Multi-tenant SaaS, event-driven backends, monorepos with shared contracts, Postgres/Mongo data modelling, and the boring discipline that keeps them maintainable — typed boundaries, migrations, real CI.

AI-agent engineering. This is where most of my time goes now: agent orchestration and fleets, MCP servers and tool design, RAG with vector search, self-hosted inference next to hosted models with failover routing, and OpenTelemetry-based observability so agent behaviour is measurable instead of vibes.

Infrastructure. Docker, Cloudflare Workers, Coolify, GPU boxes for local inference, LGTM stack for metrics/logs/traces. I deploy what I build and I'm on call for it.

Product. Payments, auth, i18n and RTL, SEO, transactional email, and the unglamorous integration work that decides whether a product actually ships.


📖 Open source

  • TerminalSkills/skills — open library of AI-agent skills. SKILL.md files that drop into Claude Code, Codex, Gemini CLI or Cursor and teach an agent a task.
  • seog-ai/local-seo-manual — a free, hands-on manual for local SEO: how Google ranks businesses in the map pack, 49 chapters, real labs and a probe-verified field reference.

⚙️ Stack

Languages
TypeScript Python Go Bash SQL

Backend
NestJS Node.js FastAPI GraphQL BullMQ WebSockets

Frontend
Next.js React Tailwind CSS Three.js GSAP

AI / agents
Claude MCP OpenAI Ollama Qdrant Whisper

Data
PostgreSQL MongoDB Redis Prisma

Infra & observability
Docker Kubernetes Cloudflare AWS Vercel OpenTelemetry Grafana GitHub Actions


Open to partnerships, product collaborations and interesting architecture problems.
Book 30 minutes →

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