I’ve been thinking about Nillion and the problem it’s trying to solve. Most blockchain conversations focus on transactions, but data privacy is a different challenge. Blockchains helped decentralize who gets to write the ledger, yet they never fully solved who gets to access sensitive information. Many “private” systems still rely on trusting a single operator somewhere. Nillion is exploring whether data can be used for computation without any one party seeing the whole picture.

The interesting part is the token economics, because that's where this either holds together or doesn't. Right now roughly 557M of about 1.01B tokens are circulating, with uncapped max supply. A $46M market cap against an $83M fully diluted value means a lot of future unlocks and emissions still have to be absorbed. Sitting about 97% below the all-time high tells me the market has already priced in plenty of skepticism. A network that sells security as a service needs demand for that service to outgrow dilution, and that's a high bar.

What I keep watching is who actually uses it. Daily volume of $38M on a $46M cap is 83% turnover, and that's trading activity, not usage. The money flow data shows slightly more selling than buying, with small orders carrying most of the net outflow while large orders were mildly positive. That reads as retail impatience rather than conviction either way. I'd rather see how many secrets are being sealed, how many paying applications depend on the network, and whether node operators earn from real fees instead of emissions.

The real test is whether anyone with truly valuable data, like healthcare, finance or AI training sets, chooses to trust a new network over the compliance-heavy systems they already use. Does privacy infrastructure get adopted because it's better, or only when regulation forces the issue?
#NIL
$NIL
@Nillion