Dan Okhlopkov is an analytics team lead and founder with 11 years building data platforms, machine learning products, and back-end systems across startups and crypto. He has led teams of senior engineers while also hands-on owning data engineering, science, and product analytics — notably co-founding a DeFi startup that raised $1.2M, processed $1.5B in under a year, and won multiple grants. Dan built big-data infrastructure for a 5M DAU consumer product, automated VC scouting tools, and served as CDO-style technical lead at multiple web3 initiatives. A Kaggle Expert, prolific open-source maintainer (including Python bots and Django+Celery templates) and Forbes 30 Under 30 alum, he combines deep technical craft with product intuition. Based in London and trained at MIPT and Y Combinator, he has a soft spot for large-scale scraping and extracting automatic insights from messy data.
11 years of coding experience
5 years of employment as a software developer
Y Combinator
Master's degree Computer Science, Master's degree Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
🐙 Free scripts, bots and Python API wrapper. Get free followers with our auto like, auto follow and other scripts!
Role in this project:
Back-end Developer
Contributions:50 releases, 790 commits, 308 PRs in 3 years 6 months
Contributions summary:Dan's contributions center around the initial setup and core functionality of an Instagram bot. They created a preparation script for initializing the bot's authentication details and storing them securely. The user implemented functions to retrieve these credentials and developed the main functions for core interactions like liking, commenting, following, and unfollowing within the Instagram platform using the Python programming language and likely requests library to handle HTTP requests.
Contributions:4 reviews, 33 commits, 4 PRs in 2 years
Contributions summary:Dan appears to be a backend developer focused on building and maintaining the core functionalities of the Django-based Telegram bot. Their commits show the initial setup of the project, configuration of settings, and the definition of models for user data. They implemented a Celery setup for background tasks, and integrated with a Redis database, as well as the Telegram API. They also integrated payment processing.
pythondjangoactions-templatebotredis-search
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Dan Okhlopkov - Analytics Team Lead at TON Foundation