Uncapped with Jack AltmanInstacart Co-founder Max Mullen on Building a $10B Consumer Marketplace | Ep. 47
CHAPTERS
Why Instacart was a contrarian idea in 2012 (and why Webvan failed)
Max and Jack set the context: grocery delivery had a history of high-profile failure (Webvan) and was widely dismissed by investors. Max explains what structurally changed by 2012 that made the model viable this time.
- •Webvan’s failure as the “elephant in the room” for fundraising
- •Two big shifts: mainstream e-commerce adoption + smartphones
- •Smartphones enabled a scalable shopper workforce (GPS, in-store tooling)
- •Using existing stores as “warehouses” avoided capex-heavy warehouse/truck models
Launching with a broken product: early operations, quality metrics, and founder-led support
Instacart launched nearly immediately with rough software and unreliable fulfillment. The team improved by obsessing over operational metrics and by Max personally feeling the pain through direct customer support.
- •Early customers (often YC batch mates) experienced late/missing orders
- •Operational metrics driven week-by-week: late rate, found rate, deliveries/week
- •Marketplace challenge: improving demand and supply simultaneously
- •Max did all customer support; the hotline rang his phone
- •Support pain directly informed the roadmap and fixes
Product–market fit as a spectrum: from “any store” to retailer loyalty
Max argues PMF isn’t a single moment; Instacart initially saw demand for fast delivery, but stronger fit came when users could shop their preferred retailers. Retailer identity mattered more than the team first assumed.
- •Early pull: fast grocery delivery mattered more than store choice—at first
- •Real PMF emerged with families once retailer catalogs expanded
- •Customers are loyal to specific grocers (Sprouts, local markets, etc.)
- •Early economics were unclear; focus was growth + quality before unit economics
The Trader Joe’s breakthrough: buying one of everything to build the catalog
A pivotal moment came when customers demanded Trader Joe’s. Unable to secure a partnership, the team created the catalog manually by purchasing one of every item—unlocking retailer-specific shopping and accelerating PMF.
- •Customer feedback: “We love Trader Joe’s; we want only that store”
- •Trader Joe’s wouldn’t provide a catalog or allow extensive photography
- •Workaround: buy one of every product (~$20k) and build the catalog manually
- •Introduced retailer toggles (e.g., Safeway vs Trader Joe’s)
- •This marked a major inflection toward marketplace PMF
Retailer partnerships and the shift from unknown startup to traffic driver
After early scrappiness, Instacart expanded retailer coverage and eventually moved into formal partnerships where retailers supplied catalog data. Over time, Instacart’s leverage increased as it became a meaningful growth channel.
- •Repeated the catalog playbook with Whole Foods, Costco, and others
- •Partnerships later enabled better data access and smoother operations
- •Early retail conversations were hampered by low awareness of e-commerce
- •Retailers ultimately pay Instacart commissions for incremental growth
- •Progression from local retailers (thrilled to partner) to large national chains
Growth levers: city launches, referrals, and membership economics
Max breaks down core growth levers beyond adding retailers: geographic expansion, demand generation, and pricing/membership experiments. Referrals were especially powerful when timed to the moment of peak customer excitement.
- •Geographic expansion as a major lever (Chicago, Boston, DC, NYC)
- •Early city launches were hands-on: set boundaries, hire shoppers/ops, market
- •Novelty effect: the “rush” of groceries arriving in ~1 hour
- •Instacart Plus/free delivery trials as conversion and retention tools
- •Referral program design: share right after first order, before delivery (give/get credits)
Hard-mode marketplace: consumer app + shopper app + logistics + ads + retailer software
They zoom out on why Instacart is unusually complex: it’s not just an app, but multiple products and a logistics engine operating in messy real-world conditions. Max frames it as ‘extra hard mode’ compared to typical SaaS businesses.
- •Consumer experience is only one surface area of the business
- •Shopper app must work in poor connectivity and support in-store execution
- •Logistics system: routing, batching, matching supply and demand
- •Retailer-facing enterprise software component
- •Large advertising business with CPG partnerships; heavy analytics requirements
Amazon buys Whole Foods: existential threat that became a catalyst
Max recounts the shock of Amazon’s Whole Foods acquisition and the fear that Instacart would be “toast.” The team declared wartime, then used the moment to accelerate retailer signings as grocers scrambled for an e-commerce strategy.
- •Whole Foods was a major client; Amazon was a top competitor
- •Media narrative intensified pressure and uncertainty
- •Internal response: all-hands, “wartime” urgency, antifragile mindset
- •Retailers re-evaluated strategy and re-engaged with Instacart
- •Outcome: signed many major holdouts (e.g., Costco, Kroger) within ~18 months
COVID hypergrowth and the emotional rollercoaster to IPO
COVID drove massive demand and forced operational scaling under extreme pressure. Max describes the strain of rapid growth, remote work, shifting IPO expectations, and the cultural change as Instacart became undeniably mainstream.
- •2020 growth surge (~4x) created nonstop operational pressure
- •Teams ran at maximum intensity (7 days/week, multiple standups)
- •User behavior shift: older cohorts adopted, habits formed, retention stayed strong
- •Valuation volatility and changing IPO timelines affected morale and expectations
- •Company culture evolved as new talent joined a now-obvious winner
Turning on profitability: the ‘adult in the room’ and unit economics discipline
A major maturity step came when the team quantified how much money they were losing per order. With board-level pressure and company-wide ownership of the P&L, Instacart moved from negative unit economics to margin-positive operations.
- •Trigger: financing round (~$2B valuation) and hiring/engaging Ravi Gupta
- •Discovery: significant per-order losses; risk of running out of money
- •Cultural lesson via spending tradeoffs (Blue Bottle coffee vs customers/shoppers)
- •Every team owned a slice of the P&L (taxes, deposits, batching efficiency, etc.)
- •Iterative fixes: pricing tweaks, cutting ineffective marketing, operational improvements
- •Celebrated profitability with a “resourceful” party (cheap burgers/champagne)
Saying no: resisting international expansion and second-product distractions
Max explains how recurring debates (international, new products, acquisitions) were often deferred to protect focus. Instacart kept the core business as the priority, later expanding internationally when timing and readiness improved.
- •Common temptation: “second product” vs deepening the core
- •International expansion repeatedly debated but deprioritized for focus
- •Acquisitions considered, but few targets were a perfect fit
- •Principle: ‘right idea at the wrong time is the wrong idea’
- •Now expanding internationally—showing deferral can be strategic, not avoidance
What’s next for Instacart: AI initiatives and ‘agentic’ consumer experiences
Max shares his most recent work at Instacart—AI initiatives—and his excitement about consumer-facing agentic products. They discuss a future where Instacart becomes part of an end-to-end automated meal workflow, potentially with home robots.
- •Instacart embracing AI internally and in product
- •Launching early consumer-facing agentic AI experiences
- •Vision: “push a button” and have complex tasks handled magically
- •Future integration ideas (e.g., home cooking robots)
- •Instacart positioned as a key infrastructure layer for automated home logistics
Investing in consumer: contrarian insights, stigma shifts, and urgency as DNA
Max outlines what he looks for in consumer founders: a contrarian bet on shifting preferences, thick skin, and fast execution once the window opens. He emphasizes building ahead of cultural normalization as the key to breakout consumer outcomes.
- •Great consumer startups start ‘uncomfortable’ or stigmatized, then normalize
- •Overton window shift: contrarian → consensus (Airbnb, Uber, Instacart)
- •Founder traits: conviction, tenacity, tolerance for looking wrong
- •Speed matters: urgency is essential once opportunity becomes obvious
- •Examples of stigma-lifting areas: mental health; future-edgy category: AI companions
B2B vs consumer founders, investor value, and Max’s ‘science/art/religion’ framework
They compare founder requirements across B2B and consumer, then move into how to work with investors. Max’s framework helps founders decide when to take advice—and when to ignore it—while recognizing the importance of investor signal in early rounds.
- •B2B often needs deeper domain expertise; consumer leans more on taste/judgment
- •In early rounds, ‘signal’ from investors is often underappreciated vs valuation
- •Founders should avoid averaging investor opinions; too many voices can mislead
- •Decision framework: Science (right answer, take advice), Art (taste, don’t outsource), Religion (values, choose intentionally)
- •Max’s founder ‘tell’: “dirty white sneakers” as a proxy for locked-in builders
Building Workshop: a founder space and the case for San Francisco’s density
Max explains why he’s creating Workshop as an in-person space to work alongside founders. He argues San Francisco remains the best environment for startups and sees investing as the highest-leverage way to help early teams—while being careful with advice.
- •Goal: be the investor he wishes he had in the earliest company days
- •Workshop as a physical hub to collaborate with founders in person
- •Belief that SF never truly left and has re-energized post-COVID
- •Investing as a platform for founder help (networking, targeted guidance)
- •Caution: only give strong advice where he has real expertise (e.g., complex marketplaces)
