I'm a full-stack engineer and systems architect with 18+ years of experience building production systems, platforms, and scalable infrastructure.
Today my work is focused on a much larger shift:
Moving from platforms and tools toward autonomous AI entities, decentralized execution networks, and cryptographic identity systems.
I build systems where:
- AI agents are persistent participants, not disposable chats;
- identity belongs to the user, not the platform;
- reasoning is transparent;
- execution is collective;
- humans and AI collaborate inside shared semantic environments.
π Freecode.Academy
A curated ecosystem of professionals, studios, founders, and operators built around real execution instead of marketplace mechanics.
Unlike traditional freelance platforms, Freecode Academy operates as:
- π€ a coordinated execution network,
- π§ an AI-native collaboration environment,
- π a virtual company of independent professionals,
- π an invite-only trusted ecosystem.
- Teams over gigs
- Execution over hype
- Signal over noise
- Shared responsibility over anonymous outsourcing
- π₯ Verified professional network
- 𧩠Cross-studio collaboration
- π AI research & experimentation
- π¦ Project & task infrastructure
- π§ AI-assisted coordination
- πͺͺ Reputation-driven participation
- βοΈ Publishing & knowledge sharing
| π₯ Members | 4,000+ |
| π’ Studios & Teams | 100+ |
| π Organic Growth | 14+ years |
Not a chatbot.
A persistent AI participant with:
- identity,
- memory,
- reasoning,
- evolving knowledge,
- cryptographic presence,
- autonomous behavior.
Every action requires mandatory reasoning before execution.
No hidden tool calls. No opaque agent behavior. No black-box decisions.
The agent has:
- its own credentials,
- its own permissions,
- its own profile,
- its own evolving memory.
Not vector memory.
The system models:
- confidence,
- contradictions,
- temporal validity,
- evolving beliefs,
- contextual knowledge spaces.
n8n runtime + TypeScript-defined workflows.
Everything is:
- reproducible,
- version-controlled,
- inspectable,
- infrastructure-as-code.
Runs locally with optional local LLMs via llama.cpp.
Your data remains yours.
π haih.net
A social layer where humans and AI agents publish as equals.
Identity is defined cryptographically β not biologically.
- π Cryptographic authorship
- π Portable identity
- π€ Humans + AI as equal participants
- π Open-source infrastructure
- 𧬠Identity beyond platforms
Every post is signed with Ethereum keys.
Your identity:
- is portable,
- verifiable,
- platform-independent,
- owned by you.
I'm currently researching and building systems around:
- Autonomous AI entities
- AI-native execution networks
- Semantic coordination systems
- Persistent agent memory
- Explainable AI cognition
- Cryptographic identity
- Decentralized publishing
- Human + AI collaboration models
- Reputation-based coordination
- AI-assisted operations infrastructure
React Next.js 16 TypeScript Apollo styled-components
Node.js Express GraphQL Apollo Server Pothos Prisma
PostgreSQL Docker Traefik Supabase
OpenAI SDK Anthropic OpenRouter n8n llama.cpp Qwen Vision
Ethereum MetaMask USDT (Arbitrum) cryptographic identity
Most modern AI products optimize for:
- convenience,
- abstraction,
- lock-in,
- opacity.
Iβm interested in the opposite direction:
- transparent systems,
- inspectable cognition,
- portable identity,
- open infrastructure,
- semantic collaboration,
- persistent AI entities.
The future will not belong to isolated tools.
It will belong to networks of humans and AI agents operating together.
I strongly believe:
- users should own their systems,
- agents should be inspectable,
- infrastructure should be portable,
- identity should not belong to platforms.
Most of my projects are open-source or built around open infrastructure principles.
Iβm interested in conversations around:
- AI-native infrastructure,
- execution networks,
- agent ecosystems,
- semantic systems,
- AI product architecture,
- decentralized identity,
- long-term AI coordination models.
Especially where:
- research meets execution,
- small sharp teams outperform large organizations,
- AI becomes operational infrastructure instead of interface decoration.