#night $NIGHT Many people think that on-chain is most suitable for public revenue sharing, but when it comes to internal company matters, it's far from simple.

When a team distributes bonuses, shares profits, and calculates commissions, it indeed requires transparent rules and verifiable results.

However, if everyone’s income, performance, and distribution weights are directly laid out on a public network, it would disrupt not only team relationships but also the internal rhythm of the company.

In reality, a mature system is never about having all details public, but rather having clear results, verifiable processes, and boundaries on personal information.

@MidnightNetwork MidnightNetwork here is not just a small optimization.

It can separate validation from exposure; whether the rules are executed as stated and whether the results are correct can be proven.

But when it comes to who gets how much, what the basis is, and how internal data is sourced, there’s no need to expose everything.

This design is very suitable for scenarios like bonus pools, alliance revenue sharing, and internal settlement within organizations.

The definitions of programmable privacy and selective disclosure in the official documentation are aimed at this need for both credibility and not being fully exposed.

Additionally, with the dual structure of $NIGHT and DUST, holding $NIGHT allows the continuous generation of DUST to support system operations.

Doing allocation, settlement, and contract execution this way makes costs more controllable and avoids chaos in daily processes due to token price fluctuations.

Many still treat privacy as a narrative, but I prefer to see @MidnightNetwork as a management tool. Those who can streamline complex collaborations first will resemble true infrastructure in the long run.