Apr 2025 — Present
AssetFeed · Founder & CEO / CTO
In AssetFeed I apply my experience in data and machine learning to product strategy, software development, and data infrastructure.

In AssetFeed, I am responsible for managing the company and developing the product. I'm a software engineer who develops full-stack information systems and applies machine learning for data-driven analysis. I have been developing for nine years, since 2017. I work in fintech, blockchain, and AssetFeed.
I am an explorer of advanced technologies; I enjoy constantly researching new technologies and want to stay at the forefront of innovation.
Wherever we come from, we live on one planet, and we don’t have another. I want to bring something really useful to this world, moving the planet toward a better future.
I hope you will support and join me in this - let’s create something magnificent together!
Apr 2025 — Present
In AssetFeed I apply my experience in data and machine learning to product strategy, software development, and data infrastructure.
Apr 2025 — Apr 2026
I coordinated AI integration and a data scraping system in a Big Data context.
Oct 2024 — Mar 2025
In Finstreet I built data reconciliation and blockchain middleware systems from scratch and took them into production. This work was conducted in the regulated ADGM/FSRA context. For this job at Finstreet, precision, integrity, verifiability and security of data were important. Stack: C#/.NET, Kafka, RabbitMQ, MSSQL, Redis, Ethers.js, Solidity, Hardhat, Kubernetes.
Oct 2022 — Oct 2024
I designed and fully created an in-house research tool with machine learning and big data; it is the basis of AssetFeed.
Oct 2023 — Jan 2024
In Promminer, I optimized ASIC miner overclocking. I obtained practical understanding of mining hardware and physical infrastructure and worked with monitoring systems and bitcoin mining-related infrastructure.
Oct 2021 — Jun 2023
I worked remotely for Wealthica Group in mobile, web, and API development for Wealthica and Stockchase, with projects participating in Station FinTech Montréal and Hub71.
The New Mobile App is Here!wealthica.comSep 2021 — Nov 2021
mrlab.ae website: one-pager with in-page feedback and internal functionality.
Apr 2026 — Present
Additionally, I work on the open-source project trace-mcp under the MIT license. This is an MCP server for code analysis with framework support that indexes the codebase and provides dependency graph data to agents.
Bachelor's Degree: Applied Mathematics & Computer Simulation
Focus: ML, Data Analytics, Mathematics, and Statistics.
I've been following the market since 2017. Useful information was often accompanied by marketing hype and paid promotions.
Professional research tools can be expensive. Machine learning helps us process text found on the public internet. Our vision for AssetFeed is to give people without professional training an easy way to study discussions.
We’re making a simple way to explore discussions: Over 3 million messages per month. Grouped by asset.
AssetFeed’s output is research material, not trading signals.
I believe that using AI will increase the quality and frequency of investors’ research.
To be clear about what this is: AssetFeed is a research tool, not a broker or an adviser. Nothing it produces is financial advice.
Contact: nikolai@assetfeed.com. Recommendations from colleagues are on LinkedIn.