Editorial directory
Three tracks. One site. Much less orientation debt.
Instead of throwing you into a long archive, this page routes you into the three systems that define the site: AI product development, bug bounty automation, and neurodivergent systems design.
Total articles
35
Primary journeys
5
How to use this
Pick a journey, read the “start here” piece, then follow the path from the hub.
Cluster selector
Each cluster is a guided entry point, not just a taxonomy label.
Treat ADHD cognition like a systems design input, not a flaw to hide.
This track reframes parallel thinking, novelty seeking, abstraction, and chaos tolerance as engineering leverage, then turns them into practical workflow scaffolding.
Best for
ADHD and neurodivergent developers, designers, and founders
Reading depth
7 core essays and workflow guides
Start here
ADHD Productivity: The System I Built After GTD Failed Me
GTD doesn't work for ADHD brains. The energy-aware productivity system I built instead — hyperfocus scheduling, AI processing, and the workflow I use to ship.
Build AI products like systems, not demos.
This track covers Claude Code workflows, WebMCP agent interfaces, context management, evidence gates, RAG, and the operational decisions that move an AI idea into production.
Best for
builders, founders, and engineers shipping with AI
Reading depth
20 implementation notes, case studies, and security-automation architectures
Start here
Claude Code Best Practices the Official Docs Don't Cover (2026)
What I learned building 36K lines of production code with Claude Code: quality gates, multi-agent orchestration, and the workflow patterns that ship.
SEO optimizes for rank. Answer engines optimize for citation-worthiness.
This track is the engineering playbook for the second game — entity coherence, schema specificity, originality signals, and the measurement loops that show whether ChatGPT, Perplexity, and Google AI Overviews are actually citing you.
Best for
content engineers and sub-DR-20 operators engineering for AI citations
Reading depth
16 foundational, tactical, and case-study notes
Start here
Answer Engine Optimization: 6 Factors That Decide If AI Cites You
Answer engine optimization (AEO) determines which sites AI search engines cite. The 6 factors driving citations in Perplexity, ChatGPT, and Google AI Overview.
Production trading systems under real market constraints.
Prediction-market automation, postmortems, and the operational math behind live trading systems.
Best for
quantitative builders and trading-system operators
Reading depth
7 posts
Start here
I Built a Polymarket Arbitrage Bot in 2 Hours. It Found Real Gaps.
Build a Polymarket arbitrage bot: capture price gaps between Binance and CLOB in milliseconds. Full code walkthrough from WebSocket to execution.
Deploy agents on infrastructure you actually control.
VPS setup, systemd process management, and the operational patterns that keep Python agents running 24/7 for $6/month.
Best for
Python developers deploying bots, agents, and automation
Reading depth
3 posts and growing
Best for
Think Better with ADHD
ADHD and neurodivergent developers, designers, and founders
Start with ADHD Productivity: The System I Built After GTD Failed MeBest for
Build with AI
builders, founders, and engineers shipping with AI
Start with Claude Code Best Practices the Official Docs Don't Cover (2026)Best for
AI Visibility Engineering
content engineers and sub-DR-20 operators engineering for AI citations
Start with Answer Engine Optimization: 6 Factors That Decide If AI Cites YouBest for
Quantitative Trading Systems
quantitative builders and trading-system operators
Start with I Built a Polymarket Arbitrage Bot in 2 Hours. It Found Real Gaps.Best for
Python Agent Infrastructure
Python developers deploying bots, agents, and automation
All tags
The long tail still exists. It just no longer leads the experience.