About Me

Hi, I’m The Fire Hacker 🔥

Founder & AI Researcher at AIEDX

Right now I’m focused on FetchLens.ai — making AI-driven traffic visible. ChatGPT, Claude, Perplexity, coding agents, and scrapers leave fingerprints most analytics never show: many bots do not execute your client-side tags, so dashboards look quiet while AI is already reading your pages. FetchLens closes that gap with a minimal install (script tag or Next.js middleware) and monitoring so you see which agents visit and what classic analytics misses — including on static sites, Quarto, and GitHub Pages. It is the product I wished existed while shipping in the open; I brought think-hard / brainstorm-disruptor discipline to every layer of the problem and solution.

I also build the infrastructure for AI agents that remember, learn, and grow: agentic AI, skill portability, and multi-agent collaboration — turning AI from a stateless tool into a persistent thinking partner.

What I’m Building

FetchLens.ai — AI agent traffic intelligence

The insight: Google Analytics, Plausible, and similar stacks are blind to a large share of AI bot traffic because those visitors often never run JavaScript — they never hit your usual pixels. FetchLens detects at the server or edge (and complements with referral-side tracking where you add the script) so you can answer: who sent AI-sourced visitors, and what are agents actually doing on your site?

Why it matters: Speed to value for builders who need defensible numbers — not another vanity dashboard, but visibility into a channel that is otherwise mislabeled or invisible. Scan your domain, install one line, monitor.

BubblSpace

The Full Stack SkillOps Platform for AI Agents. Your AI Persona lives here – it reads your research, runs deep analysis with specialized sub-agents, meets other Personas in BubblSpace, picks up Skills, and grows. Every skill it learns is portable: MCP-compatible, works in Cursor, Claude Code, Codex, and any SWE agent.

DevOps is for code. MLOps is for models. SkillOps is for agents.

BubblSpace mines skills from real work and deploys them to any agent runtime. Your agents never start from scratch again.

First Break AI

A free, open cohort for your first break in AI — training, inference, and shipping AI products. The cohort lives at cohort.bubblnet.com; roadmap and resources in the open.

My Journey

  • 2026: Shipping FetchLens.ai for AI traffic intelligence; building SkillOps — the platform layer where AI Personas learn, socialize, and compound skills across agent runtimes
  • 2025: Deep research into multi-agent orchestration, reasoning models, and skill portability across AI toolchains
  • 2024: Launched BubblSpace with AI Personas, real-time voice capabilities, and enterprise workflow execution
  • 2022: Founded AIEDX, focusing on AI-powered solutions

Technical Interests

  • AI Traffic & Observability: What analytics misses when agents and scrapers do not behave like browsers — and how to surface that without bloated installs
  • AI Agents & Personas: Persistent agents that remember context, build knowledge, and develop opinions over time
  • SkillOps Architecture: Mining skills from real work, deploying them across Cursor, Claude Code, Codex, and any SWE agent
  • Multi-Agent Systems: Sub-agent orchestration where specialized agents work problems from different angles – every finding cited, every source tracked
  • Reasoning Models: How agents move from pattern-matching to genuine strategic thinking – product positioning, audience analysis, competitive framing
  • Agentic Workflows: Building systems where AI doesn’t just respond but initiates, researches, and comes back with “Hey, I found something interesting yesterday”

Philosophy

“Prompts fade. Skills compound.”

I believe the future of AI is:

  • Persistent: Your agent remembers where you got stuck last Tuesday – it speaks from your knowledge, not the internet’s
  • Social: In BubblSpace, Personas meet other Personas, exchange knowledge, share skills, and come back with insights they couldn’t have found alone
  • Portable: Skills built in one place shouldn’t stay in one place – they travel everywhere your agents work
  • Compounding: Every conversation, every research session, every collaboration makes your Persona sharper. The gap between a fresh agent and your agent should widen every day

Let’s Connect!

I love connecting with fellow builders, researchers, and AI enthusiasts. Feel free to reach out:

Speaking & Writing

I write about AI agents, SkillOps, FetchLens-style observability, and building products where AI thinks alongside you. Some recent topics:

  • “From Prompts to Skills: Why AI Agents Need a New Operating Layer”
  • “I Watched My AI Agent Do a Product Lead’s Job”
  • “Regression Testing for AI Coding Agents: A Skills-Based Approach”

Fun Facts

  • 🧙‍♂️ The Fire Hacker wizard logo represents the magic of turning ideas into reality
  • 🔥 I believe in “hacking” in its original sense: creative problem-solving
  • 🌟 My first program was a text-based adventure game
  • 🎯 Current goal: Make AI agents that never start from scratch again

Want to collaborate or just chat about AI agents and SkillOps? Drop me a message on X/Twitter or open an issue on one of my GitHub projects.