A few weeks ago, I spoke with a final-year CS student. She was deep into her thesis project, trying to solve a problem many Web3 developers still struggle with: how to verify credentials on-chain without exposing personal data.
Her idea was simple.
What if university students could prove things like:
I passed this course
I’m enrolled in this department
without revealing their full transcript, GPA, or personal information on a public blockchain?
At first, Aina built the prototype on a typical transparent chain because the tooling felt familiar. But once she started simulating real users, the privacy cracks appeared quickly.
Wallet addresses could be linked across submissions.
Timestamps revealed activity patterns.
Even hashed course codes could sometimes be guessed within a small campus cohort.
In other words, verification was easy but privacy wasn’t.
So she experimented with full privacy layers next. But that introduced another challenge.
Everything became hidden, which meant professors or companies couldn’t easily verify claims on-chain anymore. Verification started relying on off-chain trust, viewing keys, or manual checks, which weakened the whole decentralized idea.
After weeks of experimenting with hybrid solutions, she eventually presented a simplified version of the project with a few honest disclaimers about privacy limitations.
It worked… but it didn’t feel like the system she originally imagined.
And this is exactly where @MidnightNetwork starts to look interesting.
Instead of forcing developers to choose between public transparency and complete secrecy, Midnight introduces shielded smart contracts powered by recursive zk-SNARKs.
This allows computations to run on private inputs, while the blockchain only receives a cryptographic proof confirming that the result is valid.
In a setup like Aina’s, a student could privately submit credentials and the system would only prove things like:
the course was completed with a passing grade
enrollment is valid
eligibility requirements are met
Without revealing the actual grade, course name, or student identity.
Another powerful feature is selective disclosure.
Using Compact (Midnight’s TypeScript-like language), developers can define exactly what information gets proven and what remains private. Students could prove scholarship eligibility or internship requirements while keeping sensitive academic data confidential.
Of course, this approach isn’t free of trade offs.
Zero-knowledge proofs require significant computation, so large scale verification might be slower than on transparent chains. Designing secure disclosure circuits also requires careful engineering to avoid accidental information leaks.
But Midnight’s philosophy is interesting instead of chasing perfect privacy with zero cost, it focuses on practical privacy with verifiable computation.
For developers like Aina, that could make a real difference.
If Midnight’s selective disclosure becomes widely adopted, what kind of applications do you think developers will build first?