Perspectives
Not every insight fits neatly into a research category. This section collects opinionated takes, strategic analysis, and exploratory thinking at the edges of crypto market microstructure — where quantitative methods meet product decisions, developer ecosystems, platform dynamics, and sometimes unrelated domains that share structural similarities with markets.
The common thread is applying a quantitative lens to problems that aren't obviously quantitative. Go-to-market strategy for developer tools becomes a question of activation funnels, conversion metrics, and ecosystem network effects. Detecting AI-generated content becomes a signal detection problem — distinguishing distributions of text that differ in subtle, structural ways. Support engineering and developer relations become about reducing the latency between developer question and correct answer, optimizing a human feedback loop that determines whether a protocol's ecosystem grows or stagnates.
This section also includes explorations that connect crypto microstructure to other domains. The structural similarities between epidemic spread and market panic — both following sigmoidal curves with critical thresholds — or the fractal geometry observed in both price charts and natural systems — these aren't coincidences but reflections of common mathematical structures underlying complex adaptive systems.
Research Areas
- Market Intelligence — AI agents, on-chain data pipelines, real-time monitoring. How to build systems that understand markets before you do.
- Developer Ecosystems — GTM strategy, DevRel, support engineering, documentation. The human infrastructure that determines whether a protocol attracts builders.
- Platform Economics — API pricing, developer-platform dynamics, the economics of open data. What happens when platforms change the rules.
- Quantitative Thinking — Applying mathematical reasoning to domains beyond finance — from epidemiology to content detection to network dynamics.
Featured Research
All Perspectives Articles
Wait a minute... There's research on Chaos Theory and the COVID-19
Research overview on applying chaos theory to COVID-19 epidemic modelling. How non-linear dynamics and chaotic systems explain pandemic spread patterns that classical epidemiology misses.
Life and Human Behaviour as a Fractal
An exploration of human behaviour and life patterns as fractal structures, self-similar systems repeating at different scales. A mathematical lens on personal change and decision-making.
Weighing in on AI Content Detection Tools - sorry, I don't believe them
AI content detectors flagged Forbes articles as AI-written. A practitioner's critique of why AI detection tools are unreliable — with tests showing the same writing style produces opposite verdicts.
Building a GTM Strategy for Products Across Multiple Segments ( Small Developer Teams, Enterpise, Goverments etc)
Building a go-to-market strategy for developer products across small teams, enterprise, and government segments. Practical frameworks from experience launching technical products with multiple customer profiles.
Reddit IPO and the Complete Story of Reddit API - Why Subreddits Went Dark
The full story of Reddit's API pricing controversy in 2023: how monetization plans ahead of the IPO triggered a developer revolt, subreddit blackouts, and a breakdown in the platform-developer relationship.
How to Become a Good Support Engineer as a DevRel
Hard-won lessons from DevRel: why the best developer advocates solve problems over chasing visibility, how to pick high-impact projects, and what makes support engineering effective at scale.
Update: An onchain market intelligence layer (Bitquery + OpenClaw)
Short note on running an AI agent on Bitquery streams for continuous market intelligence: skills, agent workflow, and links to code.