We learn everyday…

I’m a fullstack developer in Web3 and you?

Started the year with infinix note 8i ending it with an iPhone 12

Finally took the leap and set up my first monorepo something I’ve been planning for a while. The goal? Streamline multiple projects under a single structure, improve maintainability, and make scaling smoother. Curious, what’s your approach to managing multiple projects? 🤔

CryptoJobsList Full-Stack Engineer specializing in ai-driven web3 applications, I build at the intersection of decentralization and Machine Learning, turning complex ideas into seamless user experiences. Building something that matters? My DMs are Opened 🚀

PARELLA™🦋(Web3righteousness)🪽 Hello CT, fullstack web3 dev here 👋. Would love to connect 🥂

Growing my tech network 🌐 Looking to connect with people who are into: - Coding - AI - SaaS - UI/UX - Startups Whether you're building, learning, or just getting started, you’re welcome 🤝 If you're active on X and love tech, drop a reply with what you're working on or

Hoping to #connect with more people who love: - Saas - Coding - Tech - AI - UI/UX Drop a reply below with what you love! 🤝

Just registered for the AI Trading Hackathon. I’m building Aegis AI, a trustless trading agent that doesn’t just execute trades, it proves every decision on-chain. Live PnL. Transparent logic. Verifiable actions. Building in public from Day 1. Kraken lablab.ai Surge

Aegis AI update. Moved from planning to Execution today. Integrated Kraken CLI and the agent is already pulling live market data and running initial trade logic. Hit a few environment edge cases early on (WSL, TS/JS, native deps), resolved, system is stable now. Focus from

Day 4 building Aegis AI Progress is starting to feel real now. Today I focused on connecting the pieces: • Built the frontend interface to interact with the API • Live server uptime is now visible and updating in real time • API connected to MongoDB successfully • Backend

Aegis AI Update! been a bit quiet… not because i stopped, but because i’ve been deep in the trenches quick update on my hackathon build: → deployed my AI trading agent live on a VPS → exposed it via nginx with a public endpoint → registered the agent on-chain →

Recruiters need to stop this. "AI/ML Engineer" is not one role. An ML Engineer works on models - training, tuning, data, performance. An Al Engineer works on systems - integrating those models into real products. One goes deep into algorithms. The other builds end-to-end

AI AGENT ECOSYSTEM MAP ON BASE 🤖 50+ AGENTS BUILT ON THE ECOSYSTEM CORE INFRASTRUCTURE & FOUNDATION ■ Virtuals Protocol: Leading tokenized AI agent platform powering Agentic GDP ■ clanker: Largest DeFAI infrastructure and token launcher ■ Warden: Modular

AI on Base tier list: FUNDAMENTAL - Virtuals Protocol (Virtuals Protocol) - Clanker (clanker) - Bankr (Bankr) full list 👇

How do you think outside the box, when don’t know what’s in the box 🤔

I spend a lot of time building solo. Spaces like this remind me why being around sharp builders matters. Good energy, real insights. Respect to everyone who shared today. Appreciate the room ToadyHawk Zach Prater liminal

I believe in Base

🚨 If the $BASE snapshot happened today… Most wallets farming the airdrop would receive $0. Not because they were late. Not because they didn’t try. Because their wallets never sent real signals. After spending months inside the Base ecosystem, one thing became very clear: