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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. 0:00 – 0:47

    Greg Rosen’s collaborative venture philosophy and why it’s “anti-scale”

    Jack frames the conversation around BoxGroup’s “collaborative venture” approach and why it has become rarer as funds got larger and more competitive. Greg explains that true collaboration requires structural choices that limit certain kinds of scaling.

  2. 0:47 – 5:47

    Staying “Switzerland”: why BoxGroup won’t lead rounds

    Greg describes the key design constraint: BoxGroup avoids leading seed/Series A rounds to preserve trust with other investors and founders. He explains how even leading a few rounds creates doubts about whether the best deals are being shared.

  3. 5:47 – 11:59

    Scaling the model: AUM vs velocity (and why velocity is brutally hard)

    Greg contrasts two ways to scale a venture firm: raise more capital and move upmarket, or do more early deals. BoxGroup chooses velocity—seeing and doing far more deals—despite the operational intensity this demands.

  4. 11:59 – 14:44

    Solving adverse selection: trading ownership for access to the best companies

    Jack and Greg dig into the core problem BoxGroup is optimizing for: avoiding adverse selection. Greg argues it’s better to own less of the right companies than more of the wrong ones, and that collaboration improves access quality.

  5. 14:44 – 21:10

    “Seeing” as the main lever: humility about picking in a hyper-competitive market

    Greg argues venture has become more competitive, and many investors respond by claiming they’ll become better pickers. BoxGroup instead assumes picking improvements are limited and focuses on the “seeing” variable—finding more great opportunities earlier.

  6. 21:10 – 23:25

    How BoxGroup sees so many companies: outbound-first, high-quality relationship engines

    Greg breaks sourcing into inbound and outbound, emphasizing that outbound is the “cake” and inbound is “icing.” He outlines BoxGroup’s event-driven and relationship-driven tactics, plus why quality and curation matter more than raw activity.

  7. 23:25 – 27:57

    Getting to founders before the deck: investing in people before companies exist

    Greg explains BoxGroup’s pre-seed edge: meeting future founders before they leave their jobs, often before there’s a coherent idea or pitch deck. This requires time-intensive meetings and comfort with ambiguity—and many meetings that won’t convert.

  8. 27:57 – 31:46

    Decision-making that fits pre-seed: no partner meetings, single-trigger, and “help to yes” culture

    Greg argues traditional partner meetings and consensus voting are mismatched with seed-stage ambiguity and time constraints. BoxGroup uses single-trigger decisions in small pods and a culture that helps the deal sponsor articulate the bullish case rather than default to hole-poking.

  9. 31:46 – 34:39

    What’s learnable about picking: taste vs reps, plus simple heuristics

    Greg splits investing judgment into innate “taste” and learned pattern recognition through reps. He shares specific heuristics BoxGroup has developed by reviewing misses and observing their own decision dynamics.

  10. 34:39 – 37:25

    Calendar auditing: eliminating empty calories and spending time where alpha is

    Greg and Jack discuss how venture’s ambiguity enables poor time allocation. Greg critiques common time sinks—especially VC-to-VC networking—and pushes for time spent either helping portfolio companies or meeting new founders.

  11. 37:25 – 41:03

    Find your outlier advantage: the three investor archetypes and focusing your energy

    Greg describes three archetypes—hyper-networker, philosopher/media, and specialist—and warns against copying others’ playbooks. The key is identifying where you’re an outlier and aligning tactics to that advantage, then auditing time accordingly.

  12. 41:03 – 44:00

    Networks and trust cycles: from old VC cliques to modern “preferred partners”

    Greg reflects on how power shifted toward founders, then how the market became noisy as capital and new firms proliferated. He suggests the ecosystem is evolving toward a new form of “preferred partners,” driven by founder choice and trusted recommendations.

  13. 44:00 – 45:28

    Future bets: AI-native coding tools and the long arc toward brain–computer interfaces

    In closing, Jack asks Greg for forward-looking views on code generation and brain-computer tech. Greg compares AI’s current phase to early mobile—initially porting old paradigms before discovering truly native primitives—and speculates about matrix-like input/output as a path of least resistance.

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