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Pond: The AI Foundation Model for Web3
Building a crypto-native AI stack to power the next generation of intelligent applications.
While the world obsesses over ChatGPT, a stealthy 18-person team is building the foundational AI layer specifically for the decentralized economy. Pond isn't just another AI startup—it's a crypto foundation model designed to power intelligent on-chain agents, DeFi strategies, and Web3 user experiences.
"Pond is betting that crypto needs its own AI infrastructure, not just AI tools wrapped in crypto branding."
The Core Thesis
Traditional AI models are trained on web data, optimized for search and general queries. Pond's foundation model is built differently—trained on crypto-native data, on-chain behavior, and smart contract patterns. This isn't about making crypto easier for mainstream users; it's about making intelligence native to the blockchain environment. The result? AI agents that can actually understand liquidity pools, NFT sentiment, and DeFi risk in ways generic models cannot.
Traction & Market Position
With 35,950 monthly visits and 48% direct traffic, Pond shows strong organic demand—people are seeking them out specifically. The 34% organic search traffic indicates they're capturing intent around 'pond ai crypto' (410 monthly searches) and 'pond coin' (640 monthly searches). The 2,707 backlinks suggest they're being cited as a credible player in both AI and crypto circles. Most telling: 48.9% of traffic is from 'undefined' countries—likely a mix of privacy-focused users and regions where crypto adoption is accelerating but traditional metrics don't capture the full picture.
The tech stack reveals a modern, performance-focused approach: Next.js for the frontend, Tailwind CSS and Chakra UI for rapid development, Cloudflare for global distribution and security (including Turnstile for bot protection), and Datadog RUM for real user monitoring. This isn't a team cutting corners—they're building with enterprise-grade tooling from day one, despite being a small, lean operation.
- Founder Dylan Zhang brings network science expertise—a rare combination of academic rigor and crypto-native understanding
- Revenue of $2.1M with just 18 employees suggests strong unit economics and product-market fit
- Docs and terms live on joinpond.ai subdomain, indicating a structured approach to documentation and legal compliance
- Careers page is active, signaling growth mode despite the lean team size
The Verdict: A High-Signal Stealth Bet
Pond represents one of the few teams combining deep AI research with crypto-native infrastructure. With strong revenue, lean operations, and a founder with academic credibility, they're positioned to capture the intersection of two massive trends. The lack of traditional funding metrics isn't a weakness—it's a sign they're building a real business, not just raising hype. For investors and founders watching the AI x crypto convergence, Pond is a must-track company.
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https://static.joinpond.ai/twitter-image-0808.png
Meta Tags
Pond - Build and Own The Future of AI
A new frontier in web3 investment powered by Pond's crypto foundation model, built by renowned network scientist and machine learning expert, leading research across academia and industry
Pond - Build and Own The Future of AI
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About cryptopond.xyz
A new frontier in web3 investment powered by Pond's crypto foundation model, built by renowned network scientist and machine learning expert, leading research across academia and industry
Company Overview
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Technology Stack
cryptopond.xyz uses 9 technologies across their website including Cloudflare Turnstile, Cloudflare, Datadog RUM, Google Tag Manager, and more.
Security
Cloudflare Turnstile
Cloud & Hosting
Cloudflare
Analytics & Marketing
Datadog RUM, Google Tag Manager, Google Analytics
UI Libraries
Chakra UI
CSS Frameworks
Tailwind CSS
JavaScript Libraries
Swiper
Traffic & Audience
cryptopond.xyz receives approximately 36.0K monthly visitors and ranks #771,095 globally. The website has a bounce rate of 44% with visitors viewing an average of 3.1 pages per visit. Users spend an average of 2:03 on the site.
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