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Smart Contract Audit — Governance DoS Vulnerability Description: Discovered a High-severity invariant violation in a DeFi governance contract. The removeNominee function leaks decay slope, causing totalWeight to reach zero prematurely and permanently halting all reward distributions. Verified with a full Foundry proof-of-concept.
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S·PEN — Silent Predictive Enforcement Network
Final submission for #ImpossibleUIwithRive
This project explores a UI that doesn’t simulate a system; it is one.
Everything is generated in real time inside Rive using Lua and frame-by-frame animation:
No shortcuts, no Cheats, just design.
Every frame is computed. Every element has behaviour.
Scanners run on state machines.
Signals trigger reactions.
Data flows, breaks, and reconnects.
Behind the visuals:
• procedural geometry
• custom noise systems
• pseudo-3D projection in pure math
• thousands of points calculated per frame
All layered into a reactive network that feels alive, unstable, and intentionally hard to build.
That tension was the goal.
🔗 Submission P1: https://on.contra.com/rBfmLR
🔗 Submission P2: https://on.contra.com/mnjr9N
🔗 Submission P3: https://on.contra.com/mnjr9N
The crypto wallet category has a design problem that isn't really a design problem. Every app in the space uses the same visual language: dark mode, neon gradients, aggressive green numbers, promises of financial freedom. They all look like they were designed by the same committee with the same brief — make volatility feel safe. I wanted to try the opposite.
EXPERI/MENTAL is a wallet concept built around a single premise: what if a financial product told the truth? Not as a disclaimer buried in legal copy, but as the primary design language.
Intentional work. Every piece has a purpose.
Title: Your data is not the problem. The structure is.
Most business owners I speak to are not short on data.
They have spreadsheets. Exports. Reports sent every month. Numbers sitting in three different files that nobody looks at after the first week.
The real problem is not missing data — it is data that cannot be read quickly enough to change a decision.
A 5,000 row export tells you nothing at a glance. But a single dashboard showing revenue by channel, top performing SKU, and pending payments — that changes how a founder spends the next hour.
I have seen this pattern across CA firms, D2C brands, and small businesses. The data exists. The structure does not.
Clean structure means:
One place for all numbers
Metrics linked to actual decisions
Flags that tell you when something needs attention — not just what the current state is
If your data lives in scattered sheets and nobody is acting on it, the issue is not the data. It is the system around it.
That is exactly what I fix.
Great definition of your niche!
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