#nil $NIL @Nillion
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 decentralize who writes the ledger, yet they don’t fully solve who can access sensitive information. Nillion explores whether data can be used for computation without any single party seeing the whole picture.
The interesting part is token economics. Roughly 557M of 1.01B tokens are circulating, with no fixed maximum supply. A $46M market cap against an $83M fully diluted valuation means future emissions and unlocks still need to be absorbed. Sitting around 97% below its ATH shows how much skepticism the market has priced in. Demand must grow faster than dilution for this model to succeed.
What I keep watching is actual usage. Daily volume of $38M on a $46M market cap represents roughly 83% turnover, but trading activity isn’t network adoption. I’d rather see how many secrets are being secured, how many applications pay for the service, and whether node operators earn from real fees instead of emissions.
**Dusk and Ethereum are relevant to this bigger picture.** Ethereum provides smart contract infrastructure, while Dusk focuses on privacy and compliance for regulated financial applications. Nillion’s blind computation could complement these ecosystems by allowing sensitive data to be processed without exposing it.
The real test is whether industries like healthcare, finance, and AI choose Nillion over established systems. Will privacy infrastructure gain adoption because it offers better solutions, or only when regulation makes it necessary?
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 decentralize who writes the ledger, yet they don’t fully solve who can access sensitive information. Nillion explores whether data can be used for computation without any single party seeing the whole picture.
The interesting part is token economics. Roughly 557M of 1.01B tokens are circulating, with no fixed maximum supply. A $46M market cap against an $83M fully diluted valuation means future emissions and unlocks still need to be absorbed. Sitting around 97% below its ATH shows how much skepticism the market has priced in. Demand must grow faster than dilution for this model to succeed.
What I keep watching is actual usage. Daily volume of $38M on a $46M market cap represents roughly 83% turnover, but trading activity isn’t network adoption. I’d rather see how many secrets are being secured, how many applications pay for the service, and whether node operators earn from real fees instead of emissions.
**Dusk and Ethereum are relevant to this bigger picture.** Ethereum provides smart contract infrastructure, while Dusk focuses on privacy and compliance for regulated financial applications. Nillion’s blind computation could complement these ecosystems by allowing sensitive data to be processed without exposing it.
The real test is whether industries like healthcare, finance, and AI choose Nillion over established systems. Will privacy infrastructure gain adoption because it offers better solutions, or only when regulation makes it necessary?