Tag archive
A graph-native fraud-ring detection platform on Neo4j AuraDB for HACKHAZARDS '26 — how I modeled fraud as a graph, hit 100% recall, and made the 'why graph?' case provable live.
Just shipped OSS Sahayak for Hackhazards 2026 — solo build 🚀 The problem: maintainers can't tell...
🔐 [CTF] Neo4j Cypher injection via Rust derive macros — full chain on HTB Sorcery A Rust web app +...
It’s 3:00 AM at the hackathon. We are neck-deep in code, fueled entirely by caffeine, and taking a...
Every day, people make financial decisions that shape their future. Should I invest or pay off...
Before You Add Memory to an AI Agent, Decide What the Agent Is Allowed to Remember Memory...
Most RAG tutorials show you how to build a demo. This is not that. This is how we built a...
Every breakthrough in your career starts with a conversation. A conversation with a founder at a...
AI coding agents have an expensive habit: before they write a single line, they re-read source files...
Introduction I introduced RAG for LLM inference in the previous post in this series. As I...
I built a tool called SysEdge that models requirements, tests, and architecture standards in a Neo4j...
How we built MCP Lite: A standalone, graph-native Model Context Protocol browser that bypasses bot protection, prunes DOMs by 96%, and logs layouts to Neo4j.