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Anand Rajaraman| The IIT Madras founder who sold to Amazon & Walmart; Now owns a cricket team| Ep.12

Meet the tech visionary whose journey spans three decades of innovation. Anand Rajaraman has consistently been ahead of the curve, from revolutionizing online shopping in the 1990s to transforming venture capital with data science today. His remarkable track record includes— - Founding Junglee in 1996, which pioneered comparison shopping and was acquired by Amazon for its groundbreaking technology - Making an early investment in Facebook when it was still limited to college campuses - Establishing Walmart Labs through the acquisition of his company Kosmix, helping modernize the retail giant's digital presence - Co-founding Rocketship.vc, bringing data-driven decision-making to venture capital Today, Anand continues to innovate as a co-owner of SF Unicorns, bringing professional cricket to America through Major League Cricket. In this talk, he shares invaluable insights for entrepreneurs: - How university ecosystems catalyze deep tech innovation - The critical role of choosing the right co-founders - Creating environments that maximize opportunities - Maintaining technical engagement while scaling leadership Whether you're a founder, investor, or tech enthusiast, don't miss these insights from someone who has repeatedly identified and capitalized on major technological shifts. Learn how first-principles thinking can help you spot the next big opportunity in tech. Chapters: 00:00:00 Introduction 00:02:00 Early Career and Junglee 00:02:33 The Story Behind "Junglee" 00:03:45 Stanford Research & Online Comparision Shopping 00:05:00 Amazon Acquisition of Junglee 00:06:56 The Story Behind the name "Junglee" 00:12:21 Zero to One Journey 00:13:15 First Principles Thinking 00:14:43 Taking Cricket to America 00:16:25 T20 Format and Fan Base 00:16:51 Major League Cricket Overview 00:18:12 Anand's Team Details 00:19:58 US vs India Cricket Experience 00:20:16 Venture Capital Journey 00:22:30 When Mark Zuckerberg was raising funding! 00:24:50 Entrepreneur vs. Investor Perspectives 00:25:23 How does VC Investing work? 00:27:40 Data-Driven Venture Capital 00:29:19 PhD at Stanford 00:30:55 Teaching Distributed Database Systems and Data Mining 00:35:40 The Future of AI at IIT Madras 00:37:22 Collaboration with Venky Harinarayan 00:38:57 Cambrian Ventures and Kosmix Founding 00:39:20 Acquisition of Kosmix by Walmart 00:40:52 IIT Madras Ecosystem 00:41:40 Co-founder and Mentor Networking 00:43:20 The Story of Medibuddy 00:45:00 The Entrepreneurial Journey Talk at ICSR, IITM 00:46:14 IIT Madras Entrepreneurial Fund 00:47:34 India's Tech Potential & Market 00:50:25 Advice for Students and Parents 00:53:00 Conclusion References: SF Unicorns- https://www.sfunicorns.com/ Rocketship.vc- https://rocketship.vc/ Facebook (now Meta)- https://www.meta.com/ Amazon- https://www.amazon.com/ Walmart- https://www.walmart.com/ Walmart Labs- https://tech.walmart.com/content/walmart-global-tech/en_us.html To know more about what makes IIT Madras- the Best Place to Build- hit https://www.bestplacetobuild.com/

Feb 7, 202554mWatch on YouTube ↗

CHAPTERS

  1. Back at IIT Madras: Reunion vibes and Anand’s multi-hyphenate identity

    The host sets the scene at IIT Madras’s innovation hub during Saarang (formerly Mardi Gras) and introduces Anand Rajaraman as entrepreneur, deep-tech investor, and now sports team owner. Anand reflects on the campus energy and frames his journey from IITM ’93 to Stanford and beyond.

    • IIT Madras setting, Saarang/Mardi Gras nostalgia
    • Anand’s background: IITM ’93, Stanford, startups, investing
    • Positioning: entrepreneur + investor + sports team owner
    • Theme teased: building and “zero to one” creation
  2. Stanford PhD research that became a startup: data integration meets the early web

    Anand describes the research problem he and collaborators worked on at Stanford: integrating data across multiple systems. They realize the web—not corporate databases—will hold the world’s most valuable information, and they aim to enable structured queries on top of it.

    • Information/data integration as the original research area
    • Insight: the web will be the most important data source
    • Focus on structured queries (not keyword search)
    • Early use case: product discovery and price comparison
  3. Founding Junglee: inventing online comparison shopping

    The team turns research into product, effectively pioneering comparison shopping by aggregating structured product information from the web. Anand outlines the founding team, early roles, and his decision to pause (effectively drop out of) the PhD to build the company.

    • Junglee’s founding team (Venky, Ashish, Rakesh, Anand)
    • Building a tech stack to compare products/prices online
    • Leaving the PhD program to pursue the startup full-time
    • Early internet era constraints: servers, hosting, physical infrastructure
  4. Amazon acquires Junglee: helping create the Amazon Marketplace

    Amazon approaches Junglee in 1998, when Amazon is newly public and mostly a bookseller. Anand explains Bezos’s vision for “everything store” and how Junglee’s technology helped enable third-party merchants—what becomes the Amazon Marketplace.

    • Timeline: founded 1996, acquired 1998
    • Amazon’s early stage: small company, post-IPO, books-focused
    • Strategic rationale: expand beyond books using web-derived product info
    • Junglee team’s impact: building foundations of Amazon Marketplace
  5. Why the name ‘Junglee’ stuck: a pitch-night joke, a marketing story, and investor skepticism

    Anand tells the origin story of the name “Junglee,” which started as a playful follow-on to “Yahoo!” and later gained a navigation-the-internet-jungle narrative. He also shares how Washington Post invested but disliked the name, and how the founders managed that tension.

    • Naming constraint: needed an available .com in the 90s
    • Name origin: “Yahoo… Junglee” joke becomes brand
    • Created a ‘internet is a jungle’ story after the fact
    • Washington Post invests but calls the name ‘not corporate’—founders keep it anyway
  6. The “zero to one” addiction and first-principles thinking

    Shifting from story to philosophy, Anand explains why he’s drawn to creating new categories and taking on hard, risky problems. He defines first-principles thinking as questioning hidden assumptions in established approaches to unlock novel solutions.

    • Motivation: doing new things before others (‘to boldly go…’)
    • Tradeoff: high risk/high reward and the pain of early creation
    • First principles: uncover and challenge unstated axioms
    • Novel solutions often come from rejecting conventional constraints
  7. Taking cricket to America: why now works (community + T20 format)

    Anand connects his lifelong cricket fandom to a practical thesis for the U.S.: there is now enough cricket-aware population (especially South Asians) and a format (T20) that fits American attention and event schedules. He frames it like a founder would—market timing plus product-market fit.

    • Personal origin: growing up with iconic cricket moments (Kapil Dev era)
    • U.S. thesis: critical mass of cricket fans (millions)
    • Format innovation: T20 fits ~3-hour sports consumption
    • Founder lens: timing, market readiness, and distribution (streaming, diaspora)
  8. Major League Cricket (MLC) explained: teams, cities, IPL affiliations, and the Unicorns

    Anand breaks down the structure of Major League Cricket: six teams across major U.S. metros, some affiliated with IPL franchises. He details the San Francisco Unicorns ownership group and how recognizable global cricket talent helps legitimize the league.

    • Six teams: Seattle, SF, LA, NY, DC, Dallas
    • IPL linkages: CSK (Texas), MI (NY), KKR (LA)
    • Anand & Venky as majority owners of San Francisco Unicorns
    • Star power: coaches/players (e.g., Shane Watson, Pat Cummins) as adoption catalysts
  9. The live stadium experience: intimacy, proximity, and “talk to your customers”

    Anand describes walking the stands and speaking to fans to learn what they value—an entrepreneurial habit applied to sports. A key advantage versus watching cricket elsewhere is the smaller, more intimate venues that bring fans closer to the action.

    • Customer discovery mindset applied to sports product
    • Fans value proximity and intimacy in smaller stadiums
    • Community experience as a differentiator vs. major venues abroad
    • Building fandom through engagement and feedback loops
  10. Venture capital journey and the Facebook investment story (via Stanford signals)

    Anand recounts how he and Venky noticed Facebook early by observing student attention at a Stanford panel with Mark Zuckerberg. A later connection—Zuck evaluating Accel vs. Washington Post—creates the opening for them to invest personally.

    • Early signal: disproportionate student interest in Zuckerberg at Stanford
    • Due diligence triggered by observing real user pull
    • Full-circle link: Washington Post relationship from Junglee days
    • Angel investment (not via fund) after Accel-led round
  11. How VC works: portfolios, power laws, and entrepreneur vs investor control

    The episode pauses to explain venture capital for younger viewers: funds pool money, buy equity in startups, and rely on a small number of outlier wins to return the fund. Anand contrasts the control entrepreneurs have over one bet with investors’ diversification across many bets.

    • Definition: pooled capital investing in startup equity
    • Portfolio math: many failures, a few break-evens, rare 10–100x winners
    • Entrepreneur control vs investor diversification tradeoff
    • Luck + preparedness as recurring ingredients in outcomes
  12. Data-driven venture capital at Rocketship: inverting the sourcing model

    Anand explains Rocketship’s thesis: instead of relying on warm intros and networks, build a global dataset of startup activity and use machine learning to identify promising companies. The fund then proactively reaches out to founders, broadening access beyond elite networks.

    • Traditional VC relies heavily on referrals and networks
    • Rocketship builds a database via licensing + web crawling
    • ML models surface emerging companies earlier
    • Outbound approach: investors approach founders, not the reverse
  13. Staying technical: finishing the PhD, teaching at Stanford, and deep-tech investing

    Anand revisits his academic arc: returning to Stanford after Amazon to complete his PhD, then discovering he loves teaching. He shares his long-running teaching involvement (distributed systems, then data mining), and how academia becomes a pipeline for deep-tech ventures.

    • Return to Stanford post-Amazon to complete thesis/PhD
    • Teaching starts via faculty request; becomes a 20-year habit
    • Data mining course grows with ‘big data’ wave; textbook creation
    • University ecosystems as a source of deep-tech startups
  14. Long-term co-founder partnership with Venky: from grocery runs to Junglee, Kosmix, and Walmart Labs

    Anand tells how he met Venky at Stanford (not IITM) and how their collaboration endured across decades. He then traces Kosmix (an early AI-ish company) to its acquisition by Walmart and the creation of Walmart Labs as a tech brand to compete with Amazon—plus building Walmart Labs Bangalore.

    • Met at Stanford due to different IITM graduation years
    • Shared advisor and research collaboration → startup co-founding
    • Kosmix acquisition by Walmart (2011) and mandate to compete with Amazon
    • Walmart Labs branding to attract talent; Bangalore office seeded early
  15. IIT Madras as an ‘opportunity-rich environment’: co-founders, mentors, seed funds, and breakout startups

    The conversation returns to IITM’s ecosystem: the value of co-founders, mentorship, and brand effects that improve a startup’s odds. Anand highlights investments/mentorship in IITM-linked companies like Medibuddy and HyperVerge, and recounts how a 2012 talk catalyzed the IITM Entrepreneurship Fund that helped seed multiple ventures.

    • Core advice: find stress-tested co-founders; IITM is ideal for this
    • Mentorship flywheel: alumni eager to help founders
    • Examples: Medibuddy’s scale and IITM’s equity model creating returns
    • 2012 ICSR talk → IITM Entrepreneurship Fund → stronger incubation ecosystem
  16. India’s tech moment + advice to students and parents: branches matter less than networks

    Anand gives a VC-style view of India: both a massive talent pool and a rapidly adopting market—much stronger than in 1993. He advises parents/students not to over-index on branches (CS vs others), arguing IIT’s peer group, problem-solving training, and alumni network dominate long-term outcomes, then closes with a reminder to enjoy college.

    • India thesis: talent + huge market; stronger now than 90s India
    • Trend shift: fewer IIT grads feel compelled to leave for the U.S.
    • Branches are ‘artificial’; long-term careers often decouple from major
    • Value of IIT: peers, faculty, alumni network, and formative experiences

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