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Tackling ZKP Verification Bugs, Investor Questions, and Strategic Partnerships

Another Day, Another Bug

Today was a rollercoaster. The ZKP verification bug is still haunting us. We made progress in isolating the issue, but every time we think we have it cornered, it slips through. It’s like debugging a ghost. The team is pushing hard, and honestly, I’ve lost track of how many cups of coffee I’ve had.

Scaling ZKPs With Hardware? Easier Said Than Done

I spent a good chunk of the day researching hardware acceleration for ZKPs. Theoretically, it’s a game changer—improving efficiency, reducing costs, and making us stand out. In reality? It's complex as hell. Do we hire a specialized engineer? Do we use an existing solution? Or do we collaborate with researchers? That’s the million-dollar question. For now, I’m talking to a few experts to get clarity before making a decision.

Investors Want Answers, Not Just Tech

Another call with a potential investor today. The tech excites them, but they want to know how we're handling regulatory risks and, of course, how we make money. I get it—ZKPs sound like magic to non-technical investors, so simplifying our pitch has been a priority.

"If they don’t get it in the first two minutes, they’re out."

That advice stuck with me. So, I’m reworking the deck to make the business model clearer without losing the core tech value.

Security Still Keeps Me Up at Night

The recent audit flagged some medium-priority security issues. Nothing catastrophic, but in blockchain, even minor vulnerabilities can spiral into massive failures. Fixing them without breaking anything else is a delicate dance. We can’t afford mistakes.

The Little Win: Networking Pays Off

Attended an event, met some like-minded founders, and got a couple of intros to cryptographers who could help with the hardware acceleration issue. Sometimes, just showing up at the right place leads to big opportunities.

What I Learned Today: Debugging Tricky Issues

A key takeaway from today’s battle with the ZKP bug:

When debugging unpredictable issues, try these steps:

  1. Reproduce it reliably. If you can’t trigger the bug consistently, solving it is nearly impossible.
  2. Divide and conquer. Isolate smaller test cases. Remove as many variables as possible.
  3. Change one thing at a time. Tweaking too many things at once muddies the waters.
  4. Rubber duck debugging. Explain the issue out loud (or to an actual rubber duck). Writing it down in plain English helps too.
  5. Get a fresh pair of eyes. Sometimes, you're just too deep into the problem to see the solution.

Tomorrow, we refine the pitch, keep squashing bugs, and hopefully get closer to a stable product. One step at a time.

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