Faster, lighter, less buggy
Spent this cycle on performance and bug fixes instead of new features. NyaayWatch now loads noticeably faster and a handful of annoying edge cases are gone. Boring work, big difference.
NyaayWatch is an open-source observability layer for India's courts. Pending caseloads, clearance rates, and wait times — published as reviewed, versioned snapshots, with every number linking back to a dated source. Why it exists: India's National Judicial Data Grid (NJDG) reports pending cases daily, but it doesn't preserve history, has no consistent schema across courts, and gives you no way to cite a specific number on a specific date. The data is public; it just isn't usable. NyaayWatch closes that gap. Live today: - Supreme Court of India - All 25 High Courts - Lower courts in every state and Union Territory (28 + 8) - Read-only public API with paired /data, /methodology, /api pages - Full methodology behind every figure, with publication ids you can roll back to Some things HN may find interesting: - Snapshot-based, not live. The pipeline is fetch → extract → normalize → publish. The publish step is gated on quality + delta checks - Metrics that depend on missing NJDG inputs are tagged {"state": "missing", "reason": "source-not-published" | ...} rather than silently zeroing. There's a separate cron that emails the official NJDG CPC contact for state rows where pending is non-zero, but filed and cleared are both zero last month (haven't received a reply yet:/) - Source: https://github.com/rudrakshbhandari/nyaaywatch Where it's going: NJDG publishes daily but discards history, so the first six months of NyaayWatch is the first six months of dated, queryable judicial data anyone can cite. Beyond that — undertrial populations (around three-quarters of India's prison population is awaiting trial), translations into Hindi, Tamil, Bengali, Marathi, and the same observability layer for the executive and legislative branches over time.
