Open standard - Phase 0

Release crypto dust into verifiable donations.

DustEthic is an open-source standard proposal to help wallets turn dormant micro-balances into readable, capped and verifiable donation batches.

0 DustEthic token0 active fundraising0 yield promiseStandard under construction
Status: DustEthic is a standard proposal and editorial prototype. DustEthic does not collect real funds in this phase. Any real-money experiment would require legal, tax, operational and security review.
Positioning

A standard, not a new financial platform.

The goal is not to create a token, a central treasury or an automatic impact claim. The goal is to describe a method that wallets, relayers and NGOs could apply in a verifiable way.

What DustEthic is

An open specification for consent, batching, fee calculation, batch proof and NGO net readability.

What DustEthic is not

Not a custodian, not a custody protocol, not a yield promise and not an active fundraising channel during phase 0.

Simplified version

The journey should be understandable in four steps.

Each step must be readable by a non-technical donor and precise enough for a developer or NGO to audit.

01

Detect

The wallet identifies dust that can be donated without creating more cost than impact.

02

Authorize

The donor signs a bounded intent: asset, network, amount, NGO, expiry and fee cap.

03

Batch

The relayer executes only if the batch reaches a rational threshold and a known fee rule.

04

Prove

The batch publishes gross amount, gas, commission, NGO net, network and public proof.

Trust rule

The NGO net amount must be recalculable.

Useful DustEthic proof does not only say that a donation happened. It shows how the final amount was obtained.

gross collected128.40 USDC
gas reimbursed- 0.82 USDC
relayer commission- 6.42 USDC
optional reserve- 0.00 USDC
NGO net121.16 USDC
Educational example not executed - no real funds

Next objective: a testable specification, not a marketing promise.

The useful next step is to stabilize intent and proof schemas, then test the model in a simulator before any handling of real funds.