📊 Data Economy
2026-09-17
1 min read
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (AKT, GAI, IO, LPT, NEXA, SCP). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-16
1 min read
10 first-party metrics moved more than 2% in the last 24 hours, on 10 of the networks we read first-party (AKT, IPFS, JKL, LPT, RECALL, SCP). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-15
2 min read
9 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (JKL, RECALL, SCP, SN122, SN36, SN42). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-14
2 min read
9 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (AKT, JKL, RECALL, SCP, SN36, SN45). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-13
1 min read
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (AKT, IO, IPFS, JKL, OOJU, SN35). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-12
1 min read
10 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (IO, IPFS, JKL, OOJU, PLANCK, SN45). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-11
2 min read
9 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (JKL, OOJU, PLANCK, SN20, SN24, SN36). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-10
1 min read
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (IO, NEXA, PLANCK, SN24, SN36, SN42). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-09
1 min read
10 first-party metrics moved more than 2% in the last 24 hours, on 9 of the networks we read first-party (AKT, IO, SN41, SN44, SN45, SN56). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-08
2 min read
9 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (AKT, IO, PLANCK, SN41, SN44, SN56). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📊 Data Economy
2026-09-07
2 min read
9 first-party metrics moved more than 2% in the last 24 hours, on 8 of the networks we read first-party (AKT, IO, LPT, SN18, SN41, SN55). Every row carries the exact metric name, the upstream source and its as_of stamp, so you can re-read it yourself.
depinsupplytelemetry
📌 Research
2026-09-06
6 min read
We run a DePIN data business and a small formal-methods and number-theory lane. This is the honest ledger of the second one: an Erdős problem where we were right and second, a game-theory case we verified on our own hardware, a Riemann route that produced two measured laws and no progress on the conjecture, and a proof corpus where machine-checking refuted five of our own stated properties.
researcherdosriemann