75 articles in this category
First-party DHT measurement: our Nebula-based crawler sampled 6,416 IPFS DHT server peers (53.4% dialable, 257 distinct agent versions), and our BEP-5 sampler estimates the BitTorrent Mainline DHT at ~2.16M nodes. No aggregators — we joined the networks and counted. Method, numbers, and every caveat.
A rigorous comparative analysis of supply-side telemetry across heterogeneous DePIN networks. We deconstruct WeatherXM's weather station coverage metrics and Akash's compute lease telemetry, then derive a canonical normalization schema—mapping devices_total, compute_cores_total, and nodes_online—enabling cross-category signal comparison and adversarial verification via self-certifying data URLs.
How to query Filecoin's storage provider counts, network power, deal metrics, and protocol revenue via a provenance-first API with verify-yourself URLs.
A deep dive into anchoring DePIN telemetry batches to Bitcoin via OpenTimestamps, exploring Merkle tree construction, multi-calendar aggregation, and cryptographic verification of temporal provenance without trusted intermediaries.
How to query Akash Network's active providers, compute capacity, and protocol revenue via a provenance-first API with verify-yourself URLs.
How to query io.net's GPU worker counts, compute supply metrics, and network health via a provenance-first API with verify-yourself URLs.
A developer's guide to querying DePIN supply telemetry, on-chain revenue, and network metadata across 296 decentralized infrastructure networks — with verify-yourself provenance on every value.
A deep technical exploration of data engineering principles at scale.
Our bulk insert optimization: async writes, batched commits, and the INSERT settings that got us to 1M rows/second on commodity hardware.
Normalizing DePIN metrics requires collapsing 89 distinct native field names into 38 canonical concepts with strict unit declarations. This article explores the schema mapping architecture, the 'same-question guarantee' enforced via hourly self-tests, and why rejecting ambiguous metrics is architecturally superior to shipping corrupted signals.
SQLite isn't supposed to handle production workloads at scale. We've been running it as our ingestion buffer for millions of daily signals. Here's what breaks and when.
Our battle-tested ClickHouse optimization guide: partition keys, ORDER BY, materialized views, and the 3 settings that most people get wrong.