Skip to content
Uncapped with Jack AltmanUncapped with Jack Altman

Building a Multi-Billion Dollar Hard Tech Company | Qasar Younis, CEO of Applied Intuition | Ep. 9

(If you enjoyed this, please like and subscribe!) I had a blast sitting down with Qasar Younis, Co-Founder and CEO of Applied Intuition, a company that’s on a mission to accelerate the world’s adoption of safe and intelligent machines. The company builds software that makes it faster, safer, and easier to bring autonomous systems to market. Last valued at $6B, Applied Intuition has raised a total of $602M since its inception in 2017 and plays a critical role in both the commercial and defense sectors. Previously, Qasar was a Partner and COO of Y Combinator, the renowned startup accelerator that has invested in companies like Airbnb, Coinbase, Cruise, DoorDash, Stripe, among others. Prior to Y Combinator, Qasar founded a technology firm, which was later acquired by Google, and worked as an automotive engineer at General Motors and Bosch. Younis has a bachelor’s degree in mechanical engineering from Kettering University (formerly known as General Motors Institute) and an MBA from Harvard Business School. We covered: - Radical pragmatism - Roots of the automotive industry - Complexities of being dual use - Fostering an intrinsically contrarian culture - Evolving with your work Timestamps: (0:00) Intro (0:31) Psychology of starting a company (17:04) Love for the automotive industry (22:54) Autonomous vehicle landscape (25:45) Deep partnership with customers (28:49) Complexities of being dual use (34:44) Culture being intrinsically contrarian (40:01) Gen AI and humanoid robotics (42:28) More noise than signal in investing (44:14) Evolving with your work (47:43) Companies working is a state in time Linktree: https://linktr.ee/uncappedpod Twitter: https://x.com/jaltma Email: friends@uncappedpod.com

Qasar YounisguestJack Altmanhost
May 15, 202551mWatch on YouTube ↗

CHAPTERS

  1. 0:17 – 4:38

    From Google/YC to “Why start again?”: choosing the founder path

    Jack frames Qasar’s unusual decision to start another company after already having a comfortable, high-status career path. Qasar contrasts his earlier startup experiences (quiet failure vs. quick acquisition) and explains how YC exposed him to how often “smart + hardworking” still fails.

    • Early startup experience: one quiet failure, one fast acquisition
    • YC as a lens on how unpredictable success is even for great founders
    • Leaving “apex predator” Google was easier than leaving YC
    • The underlying pull: not wanting to be an employee forever
  2. 4:38 – 7:10

    Investor vs. founder psychology: disagreeableness, control, and decisiveness

    Qasar draws a sharp line between great investors and great founders: investors can be thoughtful lone wolves, while founders must be highly opinionated and sometimes difficult. He ties this to his own traits—working extremely hard, pushing strong opinions, and valuing decisiveness without perfect information.

    • Founders as opinionated and “difficult” vs. investors as independent thinkers
    • His personal defaults: high work ethic and inability to “let wrong things go”
    • Control is attractive but comes with responsibility and constant gray-zone decisions
    • Company hallmark: decisiveness even with incomplete data
  3. 7:10 – 8:38

    The “Post-it note” model of life: mid-30s as a career inflection point

    Qasar explains why the mid-30s can feel like the last flexible moment to choose a long-term identity. He uses a five-year “Post-it note” metaphor to emphasize how few big chapters you get, and how that reality forces commitment.

    • Mid-30s: enough experience to know your strengths, still enough runway to build
    • Life as 5-year “Post-it notes” you must intentionally allocate
    • The tradeoff: a meaningful career often consumes multiple “Post-its” at once
    • Pressure to pick a “15-year Post-it” level mission
  4. 8:38 – 14:14

    51/49 decision: start a fund or start Applied Intuition

    During the months between announcing his departure from YC and actually leaving, Qasar seriously explored joining a fund, starting a fund, or starting a company. The final choice was extremely close, and he notes how hindsight creates tidy narratives that weren’t obvious in real time.

    • External pull: funds recruiting him while he was transitioning out of YC
    • Why “joining another fund” didn’t make sense relative to the YC role
    • The decision was genuinely 51/49 between fund vs. company
    • Hindsight narrative vs. real-time uncertainty
  5. 14:14 – 17:09

    Why the plan worked: experience, scenario-planning, and a Microsoft-like strategy

    Qasar argues that Applied’s early clarity came from experience and deliberate scenario planning—studying the “battlefield” and mapping competitor reactions. He then describes Applied’s business as three layered areas (tools, OS, autonomy) and explicitly analogizes it to early Microsoft’s arc—applied to vehicles instead of PCs.

    • “Constant onslaught of thought” and explicit if/then planning
    • Experience advantage: learning from patterns across many companies
    • Applied’s three areas: engineering tools, operating system, autonomy
    • Strategy inspiration: early Microsoft’s progression (tools → OS → apps)
  6. 17:09 – 22:54

    Falling in love with automotive: identity, community, and the GMI pipeline

    Qasar explains his deep emotional and technical connection to the car business, rooted in immigration, family, and early work in the industry. He dives into the General Motors Institute (GMI) model—work/study integration—and how it shapes people who mature quickly in real industrial environments.

    • Personal origin story: “GM money” and family ties to General Motors
    • Cars as culture: communities, engineering fascination, and history knowledge
    • GMI as a 100-year industry pipeline: work half-time, school half-time
    • Early exposure to real workplace dynamics vs. classroom theory
  7. 22:54 – 25:45

    The autonomy landscape: most cars are still ‘dumb,’ and intelligence is broader than self-driving

    Qasar argues that despite visible progress, most vehicles remain largely mechanical and unintelligent. He outlines a future where every moving machine becomes “phone-like,” with autonomy as only one component alongside software architecture, centralized compute, and richer human-machine interaction.

    • Observation: the typical parking lot still reflects mostly non-intelligent vehicles
    • Vision: every moving machine (cars, trucks, tanks, jets) becomes intelligent
    • Autonomy is a subset—other pillars include interaction and core software platforming
    • Trend: centralized compute enables new capabilities across the vehicle
  8. 25:45 – 28:49

    Building with customers: intimate co-development in the world’s most complex scaled product

    Jack and Qasar discuss why Applied must operate as a true partner, not a vendor: customers are defining the future as they build it. Qasar describes deeply embedded, long-running programs and argues that vehicles are among the most complex products humans manufacture at scale.

    • Customers need help planning the future, not just fulfilling a spec
    • “Partner” as a real dependency split: software (Applied) + hardware (OEMs)
    • Automotive programs involve thousands of engineers and extreme complexity
    • Employee base spans two cultures: Silicon Valley software + industrial safety-critical domains
  9. 28:49 – 34:45

    Dual-use reality: moral stance, market limits, and the government ‘universe’

    Qasar explains what it means to be a true dual-use company, including why he believes more companies will follow this model. He covers practical constraints—defense budgets aren’t infinitely “tech spend”—and emphasizes how different defense procurement is, including security clearances and specialized operations.

    • Dual-use advantage: commercial scale subsidizes expensive technology development
    • Belief: American tech has a civic responsibility to support government/defense
    • Reality check: defense budgets are large but heavily allocated to non-tech areas
    • Defense operations: clearances, classified work, and highly distinct buying processes
  10. 34:45 – 40:01

    Culture as engineered contrarianism: in-person work, debate, and ‘swim against the stream’

    Qasar describes Applied’s culture as deliberately anti-default: skepticism of mainstream patterns, first-principles debate, and a bias toward operational consistency. He uses the COVID return-to-office choice as an example of decision-making driven by logistics, customers, and hiring rather than social proof.

    • “Always swim against the stream” as a cultural instinct
    • RTO decision method: small-group debates across employee segments, then principles
    • Contrarian heuristics (sometimes literally “do the opposite of big companies”)
    • Ongoing norm: debate without disrespect; pressure-testing assumptions
  11. 40:01 – 42:28

    GenAI and humanoid robotics: product inevitability vs. unclear business models

    Qasar applies lessons from the autonomy hype cycle to today’s GenAI and humanoid robotics boom. He argues the tech may be real, but the winning business models may not emerge until the ecosystem learns through years of iteration—and warns that emotional ‘wow’ can mislead founders.

    • Parallels to autonomy’s funding craze: hype precedes durable business clarity
    • Prediction: strongest companies/business models may appear in 4–5 years
    • First-principles critique: why a human-shaped robot vs. purpose-built machines?
    • Emotional attraction to humanoids can bias rational evaluation
  12. 42:28 – 44:14

    Investing is messy: hype dynamics, self-fulfilling funding, and ‘noise vs. signal’

    Qasar challenges neat theories about which investor classes are long-term vs. short-term, arguing reality is inconsistent and incentive-driven. He explains how capital itself can create winners by attracting employees, customers, and belief—turning fundraising into a self-fulfilling advantage.

    • Skepticism: no clean pattern across seed, growth, and public investors
    • Some investors explicitly optimize for markups and hype cycles
    • Capital as a weapon: big raises can create a perception (and reality) of inevitability
    • Question posed: do companies make money, or does money make companies?
  13. 44:14 – 51:17

    Evolving with the job: becoming more yourself, keeping the bar high, and when companies ‘work’

    Qasar reflects on how leadership changes a person, concluding he feels more like himself while aging clarifies what matters (especially family). He shares his approach to advising founders—sometimes telling them they’re climbing the wrong mountain—and ends with a reminder that “working” is temporary, not permanent.

    • Personal evolution: aging, kids, and redefining success beyond work
    • Core CEO function: maintain the bar; lowering it breeds mediocrity
    • Founder advice via the Everest metaphor: recognizing when the path is wrong
    • Companies “working” is a moment-in-time state, not a guaranteed endpoint

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.