I believe Midnight has the potential to make blockchain-based identity applications far more practical. In fact, this could become one of the most important use cases for the project.
The reason is straightforward. Identity on the blockchain initially sounds like a logical solution. However, when examined more closely, it reveals a frustrating contradiction. On one side, systems need to know who you are—or at least verify certain qualifications—to allow participation in services. On the other side, if everything is fully public or requires users to submit complete personal data, blockchain identity can easily turn into a large-scale data exposure problem, potentially worse than what we see in Web2.
Because of this tension, many Web3 identity ideas look impressive in theory but become difficult and risky in real-world use.
Midnight appears to be targeting this exact bottleneck.
What stands out to me is that Midnight does not approach identity by placing all personal records on-chain and then trying to secure them afterward. Instead, the project is exploring a fundamentally different approach: proving a specific fact about identity without revealing the entire identity itself.
This is where selective disclosure becomes meaningful.
Although it may sound like a technical detail, it actually represents a major shift. In most real-world identity systems, organizations rarely need to know everything about a person. Usually, they only need confirmation of a specific condition.
For example:
An application may only need to confirm that a user is over 18, not their exact birth date, home address, or ID number.
An employer may need proof that a qualification is valid, without seeing the full personal dataset tied to it.
A financial platform might only need confirmation that a user meets certain credit conditions, rather than reviewing their entire financial history.
This is where Midnight could make blockchain identity more practical.
Instead of forcing users to publicly reveal extensive personal information simply to prove a small detail, Midnight aims to allow individuals to reveal only the necessary information.
If this model works as intended, blockchain identity may no longer feel like a trade-off between verification and privacy. Instead, it could become a system where users can be verified without unnecessary exposure.
This is also why zero-knowledge proofs (ZK proofs) are so important in this context. Importantly, users do not need to understand the underlying cryptography to benefit from it. The value lies in keeping sensitive data private while only releasing cryptographic proof that a certain condition is true.
This fundamentally changes how identity systems operate. Rather than storing and transmitting large amounts of sensitive data across networks, systems would only handle the proof itself.
To me, this marks the difference between identity as a practical product and identity as an appealing but impractical concept.
Another reason Midnight seems well-aligned with identity applications is that it treats privacy as a core component rather than an optional feature.
Without strong privacy, identity systems can become intrusive. Many previous Web3 identity models run into a familiar issue: the more verification they introduce, the more users feel like they are being monitored.
This becomes especially problematic in areas such as voting, membership systems, credential verification, and KYC processes. Users want the system to confirm their eligibility, but they do not want their entire personal history or activity permanently linked to a public blockchain.
Midnight aims to address this challenge directly.
For example:
Someone could prove they belong to a community without revealing their full identity.
A user could participate in voting without exposing their entire activity history.
Platforms could verify credentials or KYC requirements without collecting massive amounts of sensitive personal data.
This approach benefits not only users but also the organizations running these systems.
For companies and platforms, identity management is not just about verifying users—it also involves compliance, security, and legal responsibility. If identity solutions force platforms to store large volumes of sensitive data, those platforms must also manage higher legal risks and become attractive targets for attacks.
However, if platforms only need to verify specific conditions rather than storing all personal information, the system becomes much lighter and safer to operate.
This is where Midnight’s approach feels particularly pragmatic. The project is not only trying to protect user privacy—it is also designing a system where identity applications do not have to choose between two difficult options: weak privacy or overly complex operational requirements.
Another important factor is developer adoption.
Many technologies are theoretically powerful but fail to gain traction because they are too complicated to build with. Identity applications are especially challenging since they combine user experience, data handling, and regulatory considerations. If the development stack is too complex, most teams will simply avoid it.
Midnight is attempting to lower this barrier through Compact, its programming language.
The key value of Compact is not just its modern design, but how it allows developers to build privacy-preserving smart contracts in a more familiar way. If developers can implement identity logic without immediately diving deep into complex cryptography, the chances of seeing real applications increase significantly.
This might seem like a small detail, but it is actually critical. Identity does not become a real market simply because the technology exists. It becomes real when enough developers transform that technology into usable products.
Of course, selective disclosure and zero-knowledge proofs alone cannot solve every identity challenge.
Identity is one of the most complex areas in technology. It involves many edge cases, varying legal requirements across different regions, and users who care more about convenience than technical architecture.
There is also an important practical question: will organizations, decentralized exchanges, and platforms actually adopt this kind of identity system, or will they continue relying on the familiar but less private methods they already use?
In my opinion, this will be the true test for Midnight.
However, when looking at their direction and design philosophy, it seems they are asking the right questions. Blockchain identity will not become more practical simply by storing more data or pushing additional credentials onto the chain.
It only becomes realistic when users can prove who they are without revealing more than necessary, and when applications can verify those proofs without becoming massive repositories of sensitive data.
Midnight appears to position itself exactly at that intersection.
So if the question is whether Midnight can make blockchain identity more practical, my answer would be yes.
Not because it superficially strengthens identity systems, but because it attempts to solve the core contradiction of digital identity: how a system can know enough about a user—without knowing too much.
If Midnight succeeds in bringing real applications, real integrations, and real user adoption around this idea, then the project could represent more than just another privacy narrative. It could become an important step toward making Web3 identity less theoretical and far closer to something the real world can actually use.