Ville Sundberg is a founder and self-taught programmer-turned-designer with 17 years of experience building web products end-to-end, from database design and architecture to front-end UX. He runs Kihapp, a tournament management service for martial artists, and has led product and engineering at startups like Scoopinion and Beatroot. Comfortable shipping quickly rather than chasing perfect designs, he combines hands-on back-end Rails work (including contributions to the Sharetribe marketplace) with pragmatic product thinking and user-centered design. An experienced teacher and public speaker, he’s also tackled unusual hardware and low-level tasks—reverse-engineering audiometer protocols, committing to the Linux kernel, and building computer-vision for a connected chessboard—demonstrating fast learning and wide technical curiosity.
16 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Information Networks, Media Technology, Digital Media, Bachelor of Science (B.Sc.), Information Networks, Media Technology, Digital Media at Aalto University
Minor, Game Design, Game Production, Minor, Game Design, Game Production at Taideteollinen korkeakoulu - Konstindustriella högskolan
Upper Secondary School, Upper Secondary School at Ressun lukio
ME310, Design Thinking, Product Design, Product Development, ME310, Design Thinking, Product Design, Product Development at Stanford University
Sharetribe Go is Sharetribe's old source-available marketplace software, which was also available as a hosted SaaS product. Sharetribe Go is no longer actively maintained.
Role in this project:
Back-end Developer
Contributions:224 commits in 5 years 2 months
Contributions summary:Ville primarily contributed to back-end development tasks, particularly focusing on marketplace features. Their work included modifying and improving the application's email functionality in development environments, migrating database schema, and implementing access controls for admin functionalities. They also made contributions related to the model and controller layer, specifically by correcting and enhancing existing community functions.
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