Silencio
Global noise-pollution mapping via phone microphones measuring decibels without recording audio. 170k+ users and a clean privacy story for real-estate and planning data.
Decentralized Acoustic Sensing: An Analytical Evaluation of Silencio ($SLC)
Silencio is a dual-sided marketplace for crowdsourced acoustic and environmental intelligence. It uses standard smartphone microphones as edge sensors to build a real-time, privacy-preserving map of global soundscapes, measuring noise pollution and ambient decibels without recording raw conversation.
- Active edge nodes
- 2,000,000+ accounts (mid-2026)
- Data harvested
- 250,000+ hours, 150+ languages, 180+ countries
- Co-onboarding partner
- NATIX (dual-app harvesting)
- Maximum supply
- 100,000,000,000 $SLC
The verdict
Noise-pollution mapping with a clean privacy design and real scale at 170k+ users. The data has obvious buyers in real estate and planning; the operator yield is still early.
Demand-side revenue versus pure token emission.
Emission schedule, burn, and payout sustainability.
Geographic and operator distribution.
Payback, cost-to-yield, resale, and capital efficiency.
How simple the network is to install and run.
Public stats, verifiable data, and disclosure quality.
The headline builder score of 84 is our weighted editorial composite of the six dimensions above, scored on the same public methodology for every project. It is editorial, not a guarantee, and not financial advice.
Strengths
- 170k+ users give it real coverage and a credible data set.
- Measures decibels without recording audio, a strong privacy stance.
- Clear demand from real-estate and urban-planning buyers.
Risks
- Operator yields are still early and modest.
- Not yet verified on our methodology.
- Phone-mic data quality varies widely by device and placement.
Similar networks
Figures are indicative and change with token price and saturation. Not financial advice.