Aya Yoka
Web3 research, testnets, and early-stage protocol content
New to Contra
Aya is ready for their next project!
I just published a quick breakdown on a project that really stood out to me: Perle Labs.
They’re trying to fix one of AI’s biggest problems — data quality — by turning training into simple human tasks that feed directly into model improvement.
Instead of relying only on expensive experts, Perle uses a distributed, task-based system where people generate real-world training signals.
It’s still early, but the concept is genuinely interesting if they execute it well.
🎥 Watch the full breakdown here:
https://youtu.be/c6I50Gd7zwo?si=sZm17jHaXGLFL_5Y
Would love to hear what you think about human-powered AI systems.
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I’ve been exploring human-in-the-loop AI systems lately, and wrote a short case-style research on Perle Labs.
It’s not a promo piece — more of a breakdown of:
– the problem they’re solving
– how their model works
– and where I think the real challenges are (especially around trust and data quality).
Article:
https://www.notion.so/Perle-Labs-_-Infrastructure-Research-2f4a6acdfc348086a944c00756c74f0b?source=copy_link
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New research video about LitVM (Layer 2).
I broke down the architecture, features, and real use cases.
🔗Link:
https://youtu.be/EA5T8pLXQGQ?si=QpX6Fk-s-Hyc-bPY
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Built a landing page using CodeXero – my honest experience I recently tried CodeXero while exploring different infrastructure tools, and decided to use it in a real project.
I used it to build a simple landing page and test how fast I could go from idea to deployment. What I liked:
– Fast build time
– Simple workflow
– Agent-based approach
What I didn’t:
– Limited layout control
– Requires repeated prompting sometimes Full
case study here:
https://www.notion.so/CodeXero-case-view-2f0a6acdfc3480f2bb83edb63cbbd54d?source=copy_link
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Wrote a short technical overview of LitVM and how it’s building an EVM layer on Litecoin.
This is part of my ongoing research into infra projects.
🔗 Link:
https://www.notion.so/LitVM-Infrastructure-Research-2e5a6acdfc348043ba8edc2a919ee319?source=copy_link
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Started exploring Rive’s scripting challenge today. Still learning how the system works, but it’s interesting to see how animation + logic come together.
Sharing some progress from my first experiment 👇
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Hands-on testnet walkthrough (NESA)
Recorded a step-by-step walkthrough of the NESA testnet, covering:
Account setup & wallet connections Faucet usage XP tasks and dashboard flow Exploring projects and staking inside the
ecosystem Script and execution by me.
AI voiceover used for clarity.
🔗 YouTube video:
https://youtu.be/KH2Z10sQJic?si=A8PM4GI6xFV_6VR1
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A short hands-on guide to getting started with NESA Testnet.
Medium Article :
https://medium.com/@ayayoka/my-first-impressions-exploring-the-nesa-testnet-3da6c6203af5
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I’m documenting early-stage Web3 infrastructure projects through hands-on research and practical guides.
Recently, I worked on:
• OptimAI — breaking down the network, node participation, and real usage (not hype)
• LitVM — exploring EVM compatibility, Arbitrum Nitro stack, and how it fits into the Litecoin ecosystem
This includes:
• Written research articles
• Step-by-step walkthroughs
🔗 OptimAI research article: https://code-xero-chat-1767647068554-c0aahc-three.vercel.app/projects/efce16a1-3e58-42db-a873-f6d6984f05b3
🎥 OptimAI video guide: https://youtu.be/bY6ban3b7cI?si=eIrt4WlyxMHeYLA1
🔗 LitVM article: https://code-xero-chat-1767647068554-c0aahc-three.vercel.app/research/b310f733-a89e-4080-b0c8-043d03ee88b4
🛠 Built & documented using:
• Real testnet interactions
• CLI & dashboards
• On-chain exploration
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