📊 Data Economy

77 articles in this category

All 150📊 Data Economy 77💡 Insights 28📌 Tutorials 14📌 Depin 10🤖 AI & Machine Learning 9📌 Comparisons 4📌 Announcements 4📌 Research 2📌 Company News 1💎 Fintech & Finance 1
Data Economy Articles

A Physical-World Layer You Can Verify: Aircraft, TFRs, GPS Jamming, Satellites, Ships

437 military aircraft airborne, 122 active FAA flight restrictions, 926 map cells at HIGH GPS interference, 4,148 ships on national AIS feeds, and Kuiper at 391 tracked objects — all measured today, all landing in one table, every row carrying its source. Here's the data, the method, and the caveats.

Decoding Bittensor Subnet Economics On-Chain: 129 Subnets, 13 Metrics Each

We now poll all 129 Bittensor subnets directly from the chain: neurons, active neurons, alpha pools, TAO reserves, emission, burn cost, tempo, and more — 13 metrics per subnet. First findings: 118 of 129 subnets are at their registration cap, yet seven of them have two or fewer neurons actually working, and one subnet alone draws 13.9% of tracked TAO-in emission.

We Joined the IPFS DHT and Counted It

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.

WeatherXM to Akash: Comparing DePIN Supply Telemetry Across Categories

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.

Bitcoin-Anchored Data: Merkle Roots for DePIN Batch Integrity

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.

Mapping 89 Native Field Names to 38 Canonical Concepts: The DePIN Schema Problem

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.