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Alberto Zuin

Founder

Joined November 2026

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I'm Alberto Zuin, founder of ScholarThread and director of MOYD LTD. I led the tech side of an established iGaming platform from MVP to scale, and I do PhD research while working full-time. ScholarThread is the tool I needed: one place where reading, notes and sources stay connected.

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Products Alberto Zuin founded

  • ScholarThread logo

    ScholarThread

    A research thinking environment for reading, connecting and preparing with your library

    • Research tools
    • MVP
    • United Kingdom
    • 3 votes

Interview

What problem are you solving, and who has it?
Researchers read in one tool, take notes in another and keep references in a third, so the link between a note and the passage it came from lives only in their head. PhD candidates and academics pay for it months later, when they're writing: re-finding quotes, re-reading papers, citing from memory. ScholarThread keeps reading, notes and sources connected in one place, and lets you ask questions of your own papers with a citation for every answer.
Why did you start this company?
Two reasons. The first was personal: I do my PhD research around a full-time job, and I was losing my few free hours to re-finding things across Zotero, Kobo and Obsidian. The second mattered just as much. I work in a highly regulated environment where I can't experiment freely with AI coding tools. ScholarThread gave me a safe place to learn what building with AI agents really involves, on a real product with real users, and to bring those lessons back to my day job.
What was the hardest moment so far, and how did you get through it?
Launch week. I asked ChatGPT and Claude the questions researchers ask about tools like mine, and they named ScholarThread zero times in 180 answers. Building the product had felt like the hard part; being findable turned out to be harder. I got through it the way I'd handle any engineering problem: measure first, then fix. I wrote honest comparison pages that answer those exact questions, made sure search engines pick up every release, and listed the product where people look for tools. I'll measure again in a month.
What are you most proud of?
That one person, working evenings and weekends, shipped a web app, a native iPhone and iPad app, a browser extension and an API, and kept every promise on privacy along the way: data in the EU, nothing used to train AI, no ads. And the AI in it is honest. It answers only from your own papers and shows you where each claim came from.
What would you tell a founder starting today?
Use AI coding tools, but don't trust them blindly. Agents are only as good as the guardrails you give them: write tests first, make small changes, and double-check anything that matters. They made me much faster, and the discipline made the speed safe. And measure before you guess, whether it's a bug, a price or whether anyone can find you.
What is next for you?
Android, so ScholarThread is on every device researchers read on. Alongside that, we're focusing on security and quality over more features: stronger protection for the unpublished work people trust it with, more automated testing, and fixing the rough edges early users find. The goal is a tool a researcher can rely on for an entire thesis.
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