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Latest Articles

DePIN Intelligence: The Complete Guide to Verifiable Network Telemetry

DePIN intelligence is more than market caps and token prices. It is verifiable telemetry from physical infrastructure — compute, storage, bandwidth, sensors — normalized into one canonical schema. Here is how we read 372 networks from 138 sources and anchor every number to its source.

DePIN Protocol Fees: Which Networks Actually Make Money

Most DePIN tokens have no underlying revenue. Protocol fees — real economic activity read from chain state — separate the networks that earn from the ones that just hold a token. Here is how we track them.

DePIN AI Data: Training Models on Infrastructure Telemetry

DePIN infrastructure telemetry is a rich and largely untapped AI training signal. With 11,857 live series across 372 networks, here is what you can build — and why verifiable data beats scraped data for training.

Storj Has 123,580 Nodes. Or 32,796. It Depends Entirely on Your Denominator.

One public URL, one second, four defensible node counts. Storj's us1 satellite reports 123,580 total nodes but only 32,796 active — a 3.8x gap that is entirely dead history. Which number is 'the node count' depends on which denominator you accept, and a third trap (summing satellites) overstates the fleet ~4x. Every number here is re-checkable from the same public endpoint.

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.

Akash GPU Utilisation Went From 30% to 48% in 15 Days

On August 9 our daily snapshot showed 127 of 423 Akash GPUs leased — 30.0%. Today Akash's own API reports 212 of 440 active — 48.2%. The denominator barely moved. This is a demand ramp, and here is exactly how to check it yourself.

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.