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Tools For Humanity

Mid-sized

Tools for Humanity is a technology company that develops the World network (formerly Worldcoin), a project co-founded by Sam Altman focused on digital identity and financial inclusion. It is known for its Orb device, which uses iris biometrics to verify human identity and provide a 'proof of personhood' credential in the age of AI.

2 interview notes · updated Jul 2026

Tools For Humanity·Data Scientist·Technical Phone Screen

May 2026
SQL-heavy technical screen for a Data Scientist role at Tools For Humanity. Two back-to-back problems on a microblogging schema, both requiring window logic and some careful thinking about what the denominator actually means. Nothing behavioral, just pure query writing.
  • Given a table of posts and replies with timestamps, find the number of distinct original post authors who have at least one post that received 2 or more replies within 7 days of the original post being created.
  • Among users who received at least one reply to any of their original posts, what percentage received replies from at least two distinct US-based repliers?

“The 7-day window tripped me up a bit because I kept second-guessing whether 'inclusive' meant I should use <= 7 or < 7 in the date diff.”

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Tools For Humanity·Data Scientist·Onsite - Product Sense / Strategy

Apr 2026
A product/DS case interview at Tools For Humanity built around a stolen-post detection problem on a social platform. Four questions total, each building on the last, and the whole thing felt more like a product strategy session than a traditional DS interview.
  • Given only a basic post table (post id, author, timestamp, type, content, parent), what additional data would you need to reliably identify stolen posts?
  • What are the key limitations and failure modes of whatever detection methodology you propose for identifying stolen posts?
  • What harms can stolen posts cause to users, creators, and the platform, including any harms that affect metrics or model feedback loops?
  • How would you design an evaluation plan to measure whether the new algorithm reduces stolen posts without hurting the product overall? Walk through your primary metric, diagnostic and guardrail metrics, how you'd handle confounding, label quality, and your launch decision rule.

“This was a good warm-up but I underestimated how deep they wanted me to go.”

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