Company/Team

Justin Copeland

Co-founder · Engineering & Product

Justin Copeland

Builds the product surface — the integrations, dashboards, and workflows where DataGlass meets sellers.

Profile

Background.

Engineer who builds product end-to-end, from data pipelines to frontend. First-class honors in Computer Science with a minor in Applied Mathematics from Mahidol University International College, and recipient of the Professor Dr. Tab Nilanidhi Foundation's 2025 Award for Excellent Academic Performance in Science for Recent Graduates.

Building product at a Web3 startup.

Spent nearly two years at Tokenomist (formerly TokenUnlocks), a Web3 analytics platform building tools for researchers, analysts, and institutions. Joined as an intern and grew into a full-stack role, wearing many hats — shipping features end-to-end from Python data pipelines normalizing on-chain data, to Golang backends computing complex financial metrics, to Next.js interfaces researchers and analysts used. Worked closely with product, data, and design to take features from idea through to launch. The experience of shipping fast in a small team, with constant exposure to product decisions and trade-offs, shaped the approach brought to DataGlass.

DataGlass.

Co-founder at DataGlass, working across engineering, product, and growth. Builds the integrations that bring data from Shopee, Lazada, and TikTok Shop into the platform, the dashboards and workflows sellers use day-to-day, and the systems behind early customer development and content. At this stage, the role spans whatever moves the company forward — shipping features, talking to pilots, and building the foundation the product runs on.

Long-term focus.

Building tools that meaningfully improve outcomes for the people using them — whether that's small business owners or anyone trying to make better decisions with messy data. The technical interest is in product engineering: making sophisticated systems feel simple enough that people actually want to use them.

Stop guessing. Start deploying.

Join the sellers using DataGlass to turn shop data into the next profit-maximizing action.