Antun Nuain

Antón Noaín Larrinaga is a Madrid-based entrepreneur who studied at Universidad Pontificia Comillas (ICADE) and completed Level I of the CFA Program. He began his career in finance in Madrid, including a stint as an analyst at Oquendo Capital — the Madrid-headquartered private-debt and mezzanine manager (founded 2007) that provides junior and senior debt to mid-market companies across Spain, Portugal, France and Italy. This is the origin of his oquendocapital.com email and the firm's +34 91 290 0153 Madrid number carried in the stub record.

Around April 2022 he moved into proptech, joining Casavo, the pan-European "instant buyer" home-transaction platform, as part of a new-hire cohort he announced on LinkedIn ("Welcome to the team!"). This gave him operating exposure to a venture-backed, high-growth consumer marketplace shortly before he decided to build his own.

In May 2023 Antón co-founded Kangurox, a Madrid marketplace that connects families with pre-vetted, often bilingual university students for babysitting, academic tutoring and children's-party entertainment. He runs the company as Co-CEO alongside Ignacio "Nacho" Puig López-Madrid, with Álvaro Montón Blanes as the third co-founder. Kangurox was selected by Lanzadera — Juan Roig's Valencia-based accelerator, Spain's largest — in 2023 and renewed in 2024, and has drawn institutional/mentor support from partners such as the law firm Garrigues.

• No public personal-investing track record was found. Antón's relevant "investor" perspective comes from his time as a private-credit analyst and from now sitting on the founder side of the table.
• Professional context — Oquendo Capital's strategy: junior/senior debt, mezzanine and preferred-equity financing for family-owned businesses and financial sponsors needing capital for acquisitions, growth and shareholder reorganizations across Iberia, France and Italy. (Firm-level, not personal, thesis.)
• As a founder, his "yes" signals (inferred from Kangurox's own model): trust-and-safety-first consumer marketplaces, human-in-the-loop vetting (every student is personally interviewed), and warm, personalized matching over pure automation — plus a bias toward accelerator-backed, capital-efficient execution (Lanzadera model).