Sagun B. Pradhan — Writing Case studies and chapter-by-chapter notes on Designing Data-Intensive Applications. https://www.sagunpradhan.com.np/ 2026-09-29T20:08:16+05:45 Sagun B. Pradhan DDIA Chapter 3: shape your data for how you read it https://www.sagunpradhan.com.np/writing/ddia/ch03/ 2026-09-29T00:00:00.000Z 2026-09-29T20:08:16+05:45 Notes on chapter 3 of Designing Data-Intensive Applications (2nd edition): relational vs document models, star schemas, graph models, event sourcing, dataframes and declarative queries. DDIA Chapter 2: how well, not just what https://www.sagunpradhan.com.np/writing/ddia/ch02/ 2026-09-28T00:00:00.000Z 2026-09-29T20:08:16+05:45 Notes on chapter 2 of Designing Data-Intensive Applications (2nd edition): response times and percentiles, faults vs failures, scalability and maintainability. DDIA Chapter 1: every system is a trade-off https://www.sagunpradhan.com.np/writing/ddia/ch01/ 2026-09-26T00:00:00.000Z 2026-09-28T16:19:25+05:45 Notes on chapter 1 of Designing Data-Intensive Applications (2nd edition): operational vs analytical, cloud vs self-hosting, single node vs distributed, and data law. ScamFilter: catching drained wallets on Ethereum https://www.sagunpradhan.com.np/writing/scamfilter/ 2026-09-26T00:00:00.000Z 2026-09-28T16:19:25+05:45 How I built ScamFilter, a detection engine that flags scam transactions and drained Ethereum wallets using blacklists, an 11-signal sweeper-bot score and chain-aware rules for L2s.