Data Gathering Case Studies
Research infrastructure, pipelines, and monitoring that make downstream analysis trustworthy.
These projects focus on the ingestion patterns, alerting layers, documentation systems, and streaming pipelines that let quant, analytics, and product teams operate without guessing what the data means.
Quant Data Platform Roadmap - V0 to V3
A capability-first roadmap for sequencing reproducibility, governance, and optional low-latency without turning platform work into theatre.
Explore the quant platform roadmap
Alerting the Chain - Rate-limits to PagerDuty
How we turned fragile reserve checks into a severity-based alerting path with Slack for triage and PagerDuty for real incidents.
Read the blockchain alerting case study
Real-Time Market Data Pipeline
A practical streaming pipeline for market data, spread snapshots, and presentation-layer tables that analysts could trust.
Explore the real-time market data pipeline
Shipping a Public Data Documentation System
A two-week push that turned scattered notes, diagrams, and economics content into a public docs system the commercial team could actually use.
Read the documentation sprint case study
Scraping the Android Paid Rank Charts
Building a lightweight mobile-intelligence feed for ranking, pricing, and install signals while keeping the data collection process explainable.
Explore the mobile market-intelligence feed
Automated Analytics Documentation
Using CI to keep analytics documentation live, versioned, and easy for non-engineers to find without manual rebuilds.
Read the automated documentation case study
From Dune Dashboard to Data Pipeline
Dune was the fastest proof of concept for on-chain visibility, but the production answer needed our own mixed on-chain and off-chain pipeline.
Read the Dune-to-data-pipeline case study