The archive · Consumer Apps · Strategic decision · 2026
Lekondo bets what people wear, not buy, powers fashion AI; 100k users in 8 months
NY fashion app Lekondo turns daily outfit posts into a taste dataset; >100,000 users across 50+ countries since its January 2026 launch, ~$3M seed.
Lekondo
What the business is
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.
Starting capital：About US$3M (RM12.6M) in seed funding, reported 2026-09-03, from Verdict Capital, Andreessen Horowitz (a16z) and DG Daiwa Ventures.
How it started
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.
What happened
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.
How it ended up
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.
Background
Lekondo is a New York-based fashion platform founded by Malaysian entrepreneur Yeng Tan, who previously built AI products at GoDaddy, together with co-founder and CTO Mitchell Overfield, formerly of Dropbox and Microsoft. Users post daily outfits, build digital closets and discover how people dress around the world; the platform launched in January 2026.
The founding bet is that technology has understood fashion through transactions — what people buy, search for or click on — while what people actually wear is a much richer signal of taste, especially as technology mediates more of how products get discovered. Tan says his Malaysian upbringing, in a culture where Malay, Chinese, Indian, Peranakan and indigenous traditions have borrowed from one another for generations, shaped the idea that fashion discovery should work the same cross-cultural way.
On September 3, 2026, The Star and DagangNews reported that Lekondo had raised about US$3M (RM12.6M) from Verdict Capital, Andreessen Horowitz (a16z) and DG Daiwa Ventures, and had grown to more than 100,000 users across over 50 countries since launch. The company said the funding supports development and growth of the platform and that it is expanding operations in Asia, Europe and Latin America.
What has to be true
- 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.
What can be applied
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.
Aftermath
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.
Sources
- Malaysian founder raises US$3mil for fashion tech startup Lekondo
- Usahawan Malaysia, Yeng Tan raih RM13 juta bangunkan syarikat pemula teknologi fesyen Lekondo di New York
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