Zach Yadegari raises $10M at $100M valuation for a new AI assistant after selling Cal AI

Zach Yadegari raises $10M at $100M valuation for consumer AI assistant

Zach Yadegari sold Cal AI, his calorie-tracking app, then spent roughly three weeks trying to decompress before the itch to build pulled him back. He's now raised $10M at a $100M valuation for a new consumer AI assistant, targeting a space he says he was watching closely even while running Cal AI.

The core thesis is that fragmented utility apps — booking, shopping, scheduling — collapse into a single AI layer that's easier to use and more capable than any of them individually. He's not the first to say this, but his angle on the business model is more considered than most at seed stage.

“Zach Yadegari: 'All of these separated apps are collapsing into this one source that is easier to operate yet more sophisticated and more capable than any of them by themselves.' On consumer behavior: 'The average consumer actually does not value their time. What people do care about is saving money. If we can immediately show someone we just saved you $100, that's a user for life.' The company is targeting a screenless wristband hardware form factor alongside the software agent.”

Monetization logic

Yadegari is deliberately avoiding a subscription-first approach. His preferred path keeps the product free and monetizes through the agent's actions: ads surfaced during shopping searches without biasing recommendations, affiliate fees when the agent completes a purchase (he cites Honey as the model), and longer-term, platform fees from merchants. A fintech layer — a debit card with cashback — is also on the table.

Whether that stack can sustain the inference costs of a genuinely capable agent is the open question, and he acknowledges the long-term strategy is still fluid.

Consumer behavior

The product philosophy cuts against most AI assistant pitches. The average consumer doesn't value their time, Yadegari argues — they value saving or making money. He sees onboarding as the real design problem: most users have no idea what to do with an AI assistant when they first open it. His target is immediacy: show someone they just saved $100 in the first session, and retention follows.

He's also deliberately building outside the AI Twitter bubble. Meta's AI assistant, Muse, is the only one he thinks has broken through to mainstream consumers, and that's because Meta owns the distribution. His team is pulling back from X and ramping up on Instagram and TikTok.

Hardware

The longer-term product vision includes a screenless wristband. The pitch isn't really about AI form factor — it's about screen time. Average daily screen time is six hours, and Yadegari argues that most people, in a clearer moment, would cut it significantly. A wristband lets the agent handle tasks without a phone coming between people. He's careful to frame hardware as complementary rather than replacing the phone; the device, he says, should be native to the AI operating system rather than bolted onto an existing one.

Whether consumer willingness to reduce screen time translates into hardware purchasing behavior is speculative, but it's a coherent story for early distribution.