Yevgen`s official homepage
Yevgen Somochkin
"ΞΣΣΘ"
CTO ESSO.DEV
Building the Future of AI, Automation & Web3 | Full-stack & DevOps Architect | Scalable, Data-driven Web & Mobile Apps
Hamburg, Germany
5762 contributions in the last year
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Products I'm building, from idea to production
Buttons you press, and that press back
Desk hardware that works in both directions: pressing runs something on your computer, and an event from the internet lights the device up. Two devices, open-source firmware for both.
A flight sim where the traffic is real
Open a browser tab and you are over the real Earth, with real terrain, real weather, and the aircraft around you decoded from ADS-B seconds ago. Fly it, collect it, feed it.
The bot answers the customer, the CRM fills itself in
One AI agent per business, and a customer database that is a by-product of the conversations instead of a second system nobody maintains. EU-hosted, GDPR as a precondition rather than a pricing feature.
AI-to-Blockchain Infrastructure
Non-custodial infrastructure connecting AI agents to blockchains. Connect any wallet to AI agents without exposing private keys. The AI proposes, you sign.
A shared vocabulary for what a business is
Every discovery platform reinvents its own category list and no two agree. This one is anchored in NACE, OSM, Schema.org and Wikidata, MIT-licensed, with 1,711 dereferenceable JSON-LD URIs.
AI Visibility Tracking
Monitor how ChatGPT, Claude, Perplexity and other AI models recommend your brand versus competitors. Track AI-driven search visibility across 10+ European languages.
AI-Powered SEO Audit Tool
Crawls a site, scores performance and Core Web Vitals, validates structured data, and lists what to fix, tied to what the crawl actually found rather than to a generic checklist.
Recent Blog Posts
Apr 19, 2026
Apr 19, 2026
Apr 19, 2026
Popular Questions
Use AI-powered news aggregators that filter thousands of daily crypto articles down to the most important ones, set up topic-specific alerts for tokens you hold, and dedicate fixed time slots for news review rather than constant monitoring.
AI filters crypto news by analyzing article content with NLP — scoring relevance based on topic keywords, named entities (tokens, protocols, people), sentiment, source credibility, and freshness. It then deduplicates similar stories so only the most informative version surfaces.
An AI-powered news aggregator uses machine learning and natural language processing to automatically collect, filter, and rank news articles from thousands of sources — delivering only the most relevant content instead of overwhelming users with raw feeds.
Main risks: private key exposure, AI hallucination executing wrong transactions, slippage/MEV exploitation, supply chain attacks from malicious servers, and prompt injection triggering unauthorized transactions. Mitigate with non-custodial architecture, value limits, and verified open-source servers.
It depends on architecture. Custodial mode (server holds private key) is risky — if compromised, funds are lost. Non-custodial (recommended): the server prepares unsigned transactions, you sign via MetaMask or Ledger. Never store private keys in MCP config files; use environment variables and dedicated wallets.
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