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From BoxGroup to Benchmark and Back | Greg Rosen, Partner at BoxGroup | Ep. 22

(If you enjoyed this, please like and subscribe!) Greg Rosen is a Partner at BoxGroup. Greg was the first hire at BoxGroup outside of the founders, David Tisch and Adam Rothenberg. After moving to the West Coast to work with Benchmark and Bedrock, Greg rejoined BoxGroup and currently invests out of their San Francisco office. An engineer by training, Greg built iOS games in high school before dropping out of college at 19 to join Jim Pallotta's venture fund in New York City. BoxGroup is an NYC-based seed stage venture capital firm that has invested in over 500 seed-stage startups over the last 15 years, including Plaid, Ro, Ramp, Clay, Scopely, Warp, Cursor, PillPack, Amplitude, Flatiron Health, Stripe, Warby Parker, Harry’s, Oscar, Flexport, Classpass, Vine, GroupMe, Airtable and more. We covered: - Being collaborative at scale - Avoiding adverse selection - Getting to a yes instead of no - Venture calendar audits - Running the right strategy Timestamps: (0:00) Intro (0:47) The collaborative venture model (5:47) Adverse selection vs coverage (11:59) How to see a ton of companies (14:44) Getting to founders early (21:10) Helping teammates get to a yes (23:25) Why there aren’t more BoxGroups (27:57) What’s learnable about picking (31:46) Calendar auditing (34:39) Focusing on where you’re outlier (37:25) Depth vs breadth of network (41:03) The future of code (44:00) Brain computers More on Greg: https://www.boxgroup.com/ https://x.com/grosen More on Jack: https://www.altcap.com/ https://x.com/jaltma https://linktr.ee/uncappedpod Email: friends@uncappedpod.com

Greg RosenguestJack Altmanhost
Aug 20, 202545mWatch on YouTube ↗

CHAPTERS

  1. 0:46 – 3:01

    Venture as “Switzerland”: why BoxGroup avoids leading rounds

    Greg explains the core of BoxGroup’s collaborative model: staying neutral by not leading seed or Series A rounds. He argues that the moment you lead even a few rounds, other investors assume you’re holding back your best deals, and the trust that powers collaboration collapses.

    • Collaborative venture is inherently anti-scale in key dimensions
    • Leading rounds creates a trust problem: partners worry you’re not sharing the best deals
    • BoxGroup maintains neutrality by staying non-leading across stages
    • Check size increases mainly track round inflation, not a push to lead
    • The goal is to remain a preferred co-investor and information-sharing partner
  2. 3:01 – 5:43

    Scaling without sharp elbows: bigger checks, faster “yes,” same model

    Rather than scaling by moving up-market and leading, BoxGroup scales by making more investments and being easy for founders to say yes to. Greg describes how their check size is designed to fit into many round structures while preserving their collaborative posture.

    • BoxGroup’s checks grew from ~$50–75K to ~$750K–$1M as rounds inflated
    • They aim to be the first committed capital and help founders find a lead
    • Flexibility: can join whether there’s already a lead or not
    • Deliberate refusal to write $3–4M lead checks
    • The firm’s “product” is speed, alignment, and syndicate help without competing
  3. 5:43 – 8:58

    Adverse selection is the real enemy (more than ownership math)

    Greg frames BoxGroup’s tradeoff: accept lower ownership in exchange for better deal access and less adverse selection. The strategy is to consistently be in the right companies—especially the rare outcomes—by maximizing quality of access and participation.

    • They trade ownership percentage for access to better companies
    • The primary advantage is avoiding adverse selection, not just seeing volume
    • Counterpoint to critics: owning more doesn’t help if you’re in the wrong set
    • Aim is to be in the truly outsized companies (tens of billions+)
    • High bar remains: “most important company started over the next decade?”
  4. 8:58 – 12:02

    “Venture humility”: why seeing more beats pretending you can pick 2× better

    Greg argues venture has become dramatically more competitive, shrinking the value of proprietary deals. Since it’s unrealistic to assume investors can simply become vastly better pickers, BoxGroup compensates by increasing the number of quality shots on goal and improving their ability to win allocations.

    • Proprietary deals rarely exist—and if they do, they last a “blink”
    • If venture is harder and you don’t change inputs, returns must go down
    • Most investors’ default response (“we’ll be better at picking”) is unrealistic
    • BoxGroup focuses on ‘seeing’ and ‘winning’ rather than claiming pick superiority
    • Pipeline scale: ~5–6k qualified opportunities/year → ~70–80 investments
  5. 12:02 – 13:55

    How BoxGroup sees so many companies: outbound first, inbound as icing

    The conversation turns tactical: Greg breaks sourcing into inbound versus outbound and insists outbound is the “cake,” not the icing. He details how events, campus engagement, and systematic networking create a repeatable engine—plus how Switzerland-style sharing adds meaningful deal flow.

    • Inbound is valuable but unreliable; outbound is the core engine
    • Running high-quality, curated events (campus, intern, engineering leaders)
    • “Empty calorie” events exist; curation and legwork determine ROI
    • ~25%+ of deals come from sharing with other investors due to trust
    • Switzerland posture prevents ‘sniping’ and encourages reciprocal sharing
  6. 13:55 – 18:00

    Getting to founders before there’s even a deck

    Greg explains why BoxGroup tries to meet founders before they officially start companies—sometimes before they quit their jobs. The key is spending time early, accepting many meetings that won’t convert, and using systems to spot potential founders as soon as signals appear.

    • Internal mantra: “If there’s a deck, it’s too late”
    • Goal is to meet the human before the company exists
    • Time is the true constraint; most check-writers won’t take pre-company meetings
    • Tools and tactics (e.g., monitoring role changes) help identify emerging founders
    • Early access enables BoxGroup to be the first check and first yes
  7. 18:00 – 21:04

    Evaluating the ‘middle bucket’: outliers, not polish

    Greg describes how BoxGroup thinks about early-stage decision-making when there’s little product or even team. The highest-alpha deals often sit in the ambiguous middle—where the job is to notice outlier traits in people and avoid penalizing founders for early-stage messiness.

    • BoxGroup skips partner meetings; they believe they waste founder time
    • Deals fall into: obviously great / obviously bad / ambiguous middle (where alpha is)
    • Many top outcomes start in the middle bucket, not the obvious one
    • Look for “outlier” traits: talent magnetism, technical depth, commercial instinct
    • Messiness (many ideas, lack of cohesion) can be a feature of being truly early
  8. 21:04 – 28:04

    A culture designed to reach “yes”: single-trigger, pods, and omission risk

    The firm’s process is built to avoid false negatives: single-trigger decision-making, small pods, and a norm of helping teammates articulate what they see rather than blocking. Greg emphasizes that missing the rare generational company is more costly than making some commission errors.

    • Single-trigger investing: consensus voting at seed raises false negatives
    • Pods of 2–3 investors keep speed and context while avoiding bureaucracy
    • Team behavior: pull threads to help the excited person reach their yes
    • No hierarchy of “whose time is too valuable” to take early meetings
    • Mindset shift: optimize against cost of omission (missing the big one)
  9. 28:04 – 31:46

    What’s learnable about ‘picking’: taste, reps, and small decision rules

    Greg splits investing skill into two parts: an unteachable component (“taste” and human preference) and a teachable component (reps and pattern recognition). He shares practical heuristics BoxGroup learned by reviewing past decisions and noticing repeatable signals.

    • Some ‘deal taste’ is inherent and tied to human preference and talent clustering
    • The learnable part comes from massive reps across many companies/sectors
    • Heuristic: if you take a third meeting, you probably should just do the deal
    • Heuristic: always meet the CEO (or primary decision-driving founder)
    • Don’t overfit early market details; great humans adapt and markets evolve
  10. 31:46 – 33:59

    Calendar auditing: eliminating empty calories and VC-only activity

    Greg and Jack argue that venture calendars often drift into low-output work because accountability is fuzzy. They call out VC networking as the top time-waster and suggest treating time like a portfolio: audit inputs vs outputs and bias toward founder meetings and real portfolio help.

    • VC networking events are framed as the #1 time sink
    • People hide behind board workload while still wasting time on non-founder activity
    • If you’re not helping portfolio companies, you should be meeting founders
    • Say no aggressively to protect time for high-leverage outbound work
    • Audit time based on outcomes, not just how ‘busy’ the activity feels
  11. 33:59 – 37:25

    Find your unfair advantage archetype: hyper-networker, philosopher, or specialist

    Greg outlines three investor archetypes and warns against copying other people’s playbooks. The key is identifying where you’re truly an outlier and aligning your calendar and tactics to that advantage rather than chasing what looks glamorous or broadly effective.

    • Three archetypes: hyper-networker, philosopher/media, specialist
    • Copying tactics without matching strengths leads to wasted effort and poor ROI
    • Quality matters more than surface-level activity (tweeting/podcasting/events)
    • Early-career trap: underestimating how hard other people’s games are
    • Practical application: align time allocation to your strongest archetype
  12. 37:25 – 41:08

    Networks and preferred partners: from old cliques to founder-led curation

    Greg observes a shift from older VC cliques (with less founder power), to a chaotic era of abundant capital, and now toward “preferred partner” networks—driven by founders and trusted early investors. BoxGroup’s role becomes helping founders navigate noise by recommending investors who have proven founder-friendly behavior.

    • Past: cliques + VC control over future rounds; founders had less power
    • Mid-era: democratized access but increased noise and ‘messy’ processes
    • Now: emerging preferred-partner dynamics with founders still holding power
    • BoxGroup plays favorites in recommendations based on observed founder treatment
    • They avoid “magical value-add” pitches; focus on reliable partner selection
  13. 41:08 – 44:01

    Future of code: from IDE improvements to agentic development environments

    Greg predicts AI coding will follow a familiar platform-shift arc: early products mimic old workflows before native primitives emerge. He highlights Cursor’s success improving the familiar IDE experience and Warp’s bet on more agentic, terminal-centered development where humans supervise rather than write files line-by-line.

    • Platform shifts start with legacy-pattern mimicry before native use cases appear
    • Mobile analogy: early webviews → later native apps like Uber/Instagram
    • Cursor: wins by upgrading the known IDE form factor
    • Warp/ADE: shift toward telling the machine what to do and auditing its steps
    • Key question for new products: “What is the most native AI version of this?”
  14. 44:01 – 45:28

    Brain–computer interfaces: is the ‘Matrix path’ easier than terraforming reality?

    Closing with speculation, Greg considers whether direct brain I/O could become a more feasible path to transformative experiences than rebuilding the physical world with humanoids and robotics. He frames it as a ‘path of least resistance’ thought experiment rather than a confident prediction.

    • BCI as an alternative route to radical change vs full physical-world automation
    • Possibility: simulate better realities with brain I/O rather than reshape Earth
    • Compares robotics/humanoids complexity to potential BCI leverage
    • Acknowledges uncertainty and being outside his core expertise
    • Ends on the strategic lens: pursue the path of least resistance

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