Lekondo bets what people wear, not buy, powers fashion AI; 100k users in 8 months

Lekondo is a New York-based fashion platform where users post daily outfits, build digital closets and discover how people dress around the world; the company frames those worn-outfit signals as an AI-native dataset of fashion taste.

What people actually wear — not what they buy, search or click — is the truer taste signal, so Lekondo builds fashion AI on outfit photos instead of transaction data.

About US$3M (RM12.6M) in seed funding, reported 2026-09-03, from Verdict Capital, Andreessen Horowitz (a16z) and DG Daiwa Ventures.

Yeng Tan, a Malaysian founder who grew up in Taman Tun Dr Ismail, Kuala Lumpur, and previously worked on AI products at GoDaddy, co-founded Lekondo with CTO Mitchell Overfield, formerly of Dropbox and Microsoft. The platform launched in January 2026, shaped by Tan's argument that growing up in Malaysia's multicultural mix — Malay, Chinese, Indian, Peranakan, colonial and indigenous traditions borrowing from one another — is what cross-cultural fashion understanding should look like.

By September 2026 Lekondo reported more than 100,000 users across over 50 countries and a seed raise of about US$3M (RM12.6M) from Verdict Capital, Andreessen Horowitz (a16z) and DG Daiwa Ventures, earmarked for platform development and growth. DagangNews noted Verdict Capital is led by Niko Bonatsos and Michael Fertik, early investors in companies including Snapchat, Discord and Cursor, and reported Lekondo is expanding operations in Asia, Europe and Latin America.

Still scaling as of 2026-09-03: an eight-month-old consumer app with cross-border user growth and fresh seed capital; no revenue or retention figures disclosed.

Fashion AI so far trains on transactions; Lekondo's thesis is that worn outfits capture taste that purchases and searches miss.

A daily-outfit and digital-closet mechanic gives the app a reason to exist before any commerce layer is built.

100,000+ users in 50+ countries within eight months is the cross-border signal that drew Verdict Capital, a16z and DG Daiwa.

A Malaysian founder's multicultural-taste argument is a differentiated data story: global wardrobe diversity, not US-centric catalogs.

A data moat can start before commerce: worn-outfit photos capture taste that transactions lack, but Lekondo must prove that dataset drives discovery and revenue.

As of September 3, 2026, Lekondo is live and scaling: the company reports more than 100,000 users across over 50 countries since its January 2026 launch, has raised about US$3M (RM12.6M) in seed funding from Verdict Capital, Andreessen Horowitz (a16z) and DG Daiwa Ventures, and says it is expanding operations in Asia, Europe and Latin America. No revenue, retention or monetization figures had been disclosed.