Upfront’s Aditi Maliwal makes 3 bets a year and ignores the hype cycle

Aditi Maliwal doesn’t want to be “another checkbook.”

“Ideas are a dime a dozen,” she told Fortune. “What I’m backing, especially at the earliest stages, is a person.” That thesis is part of why she does only two to three deals a year. 

Maliwal is a general partner at Upfront Ventures, a 30-year-old Los Angeles firm investing out of its Eight Fund. She joined in 2019 as their first partner in San Francisco and planted herself in fintech, AI applications, and dev tools. She grew up across five cities—Mumbai, New Delhi, Hong Kong, Singapore, San Francisco—which may explain why she thinks more about connective tissue than isolated bets.

Before Upfront, Maliwal moved from banking to venture to operating and back again: Deutsche Bank, then Crosslink Capital, then Google, where she was a product manager and built a team that surfaced market themes to Google’s leadership team. It was at Google where she learned a key lesson as an operator: “You think you’re working on something that the big players don’t know about,” she told Fortune, “but they actually do have a sense of what’s happening in the market thematically.”

Her first deal in venture was Chime, where she led the Series A at Crosslink in 2014. Eleven years later, Chime went public at an $11.6 billion market cap—well below its $25 billion private peak. Maliwal wasn’t surprised by the correction. “Being a public company is pretty damn hard,” she said.

Now, at Upfront, her portfolio includes Clair, the earned wage access play she backed at Series A and re-led at Series B in May 2025; General Translation, a localization dev tools play; and Arcade, a generative demo software company. She watches the AI frenzy without illusion. “We’re in that bubble right now. For every dollar that Cursor is making, how many dollars are they losing? Everyone needs to figure out what their fundamental unit economics are.”

Aside from that healthy skepticism, Maliwal is also quietly stalking untapped opportunities in what she calls information markets—proprietary data sets with time-bounded access, the kind that hedge funds, betting markets, and model training pipelines will pay a premium for. One Upfront portfolio company, Neon Mobile, is already there: collecting voice data and selling it to AI labs and developers.

For all the frameworks—information markets, unit economics, the AI backbone question—Maliwal says the actual investment decision comes down to something simpler. “You should only be backing ‘n of one’ founders,” she says, “not because they know it all right at the get-go, but because they are so determined that they will figure out a way not just to survive, but to be the greatest.”

See you on Monday,

Lily Mae Lazarus
X: @LilyMaeLazarus
Email: lily.lazarus@fortune.com
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This story was originally featured on Fortune.com