The Twenty Minute VCMiles Grimshaw: The 5 Pillars of Venture Capital & Why Co-Pilot is an Incumbent Strategy | E1061
CHAPTERS
- 0:00 – 4:08
Miles Grimshaw’s path into startups and venture: UK roots, entrepreneur stepfather, and NYC’s early tech wave
Miles traces how growing up around his stepfather building companies (including early e-commerce software) made entrepreneurship feel tangible. He then jumps to the early 2010s NYC ecosystem—Tumblr/Foursquare-era energy—and how that environment led him to Thrive.
- •Early exposure to company-building at the kitchen table shaped his motivation
- •NYC tech scene (2010–2012) as an early cloud/app-dev inflection point
- •Feeling ‘empowered’ by frameworks like Rails and platforms like Heroku
- •Meeting Josh Kushner and joining Thrive as the ecosystem formed
- 4:08 – 8:26
Shopify vs. Etsy and the lesson of riding big waves without being ‘too smart’
Miles reflects on a Shopify-vs-Etsy analysis he wrote and the broader insight it gave him about platform waves. His takeaway: in massive market expansions, framing as “either/or” is often wrong—multiple winners can coexist.
- •Cloud and SaaS spend growth created a decade-long macro tailwind
- •A “versus” framing can miss how big markets allow multiple large outcomes
- •Being ‘second’ can matter, but early waves still have room for many leaders
- •Founders should always be recruiting—illustrated by a cold email from Shopify’s COO
- 8:26 – 13:32
Three formative lessons from Josh Kushner: kindness + competitiveness, will over skill, and ‘impatiently patient’
Miles distills what he learned at Thrive into behavioral principles rather than investing tactics. He emphasizes how belief, work ethic, and long-term patience—paired with urgent execution—compound over time.
- •Kindness and competitiveness can coexist in high-performance environments
- •Talent detection often favors will, passion, and rate of improvement
- •‘Follow your passion’ as a mechanism for outworking and compounding learning
- •‘Impatiently patient’—high urgency without sacrificing standards or long-term thinking
- 13:32 – 16:49
Joining Benchmark: authenticity, partnership culture, and agenda-free meetings
Miles explains that the key ‘advice’ on joining Benchmark was essentially to stay himself, and that his biggest personal decision was moving to California with his wife. He also describes Benchmark’s unusually unstructured partnership meetings built on trust and free-flowing sharing.
- •Decision hinge: family and relocation more than career signaling
- •Benchmark’s culture: “You be you” and minimal formal structure
- •No memos/agendas—meetings as a learning-sharing time block
- •Trust and high-context discussion replace process-heavy decision rituals
- 16:49 – 25:28
The 5 S’s of venture: sourcing, selecting, signing, supporting, and ‘summitting’ (exits)
Miles reframes venture work into five phases and argues the industry often over-focuses on funnels and “bets.” He prefers “commitment” language and sees diligence as forward-looking planning with founders rather than an adversarial inspection.
- •Five S’s framework adds exit/distribution (‘summitting’) to the usual pillars
- •Diligence should feel like planning an expedition—not an examination
- •Language matters: commitment vs. betting shapes behavior post-investment
- •His personal strengths: selecting + supporting through strategy/sequence/org design
- 25:28 – 30:56
Do VCs add value—or do harm? Trust, context, and the ‘Hippocratic Oath’ of board behavior
Miles argues real value comes from helping founders make better decisions repeatedly over years, which requires deep trust and high-bandwidth context. He also acknowledges many investors can become a distraction when they apply checklists rather than understanding product and strategy.
- •Value creation = decision-quality improvements compounded over time
- •Trust is the prerequisite; context + communication are the mechanisms
- •“Do no harm”: avoid turning boards into reporting burdens
- •Great VCs don’t need perfect answers—work problems alongside founders
- 30:56 – 37:40
Founder vs. market vs. traction: integrated evaluation, ‘data second,’ and recruiting as a gut-check
Miles rejects a simple weighting formula and instead looks at the system: what’s changing, why users care, and whether the story recruits talent. He warns that early revenue can be ‘empty calories’ and prefers clarity on what’s being proven and learned.
- •Start from customer/product; use metrics as validation, not discovery
- •Early growth can be misleading—optimize for right adoption, not just more
- •Key lens: ‘What’s changing?’ (dislocation creates opportunity)
- •Recruiting test: can you credibly sell the mission/team/trajectory to great hires?
- 37:40 – 43:46
How Benchmark decides and supports: tag-teaming partners, minimal reserve-thinking, and where the firm plays (inception to Series C)
Miles explains Benchmark’s collaborative model—pulling partners into deals and portfolio support even though one person takes the board seat. He also shares Benchmark’s approach to follow-ons: reserves exist for toughness, not for systematic ownership accumulation, and the firm often invests very early despite its ‘Series A’ reputation.
- •Equal partnership commitment; partners fluidly help across companies
- •Reserves used defensively, not as a pro-rata maximization machine
- •Benchmark frequently first institutional (and often first) capital
- •Market ecosystem isn’t zero-sum because their yearly deal count is small
- 43:46 – 47:46
Learning from wins: Benchling’s vertical-market expansion and Monzo’s founder ferocity at scale
Miles contrasts two types of success. Benchling highlights a founder perfectly matched to open a vertical market that initially looks small; Monzo highlights mission-driven intensity breaking through a massive, regulated category via relentless execution and unconventional choices like repeated crowdfunding.
- •Benchling: vertical software can become huge when the market itself expands
- •Monzo: enormous markets can be penetrated with exceptional founder intensity
- •Mission coherence shapes countless marginal decisions over years
- •Crowdfunding as a strategic expression of ‘bank for everyone’ trust-building
- 47:46 – 54:14
Founder detection errors and missed giants: Figma, Plaid, and Scale—what he misread
Miles’s biggest regrets come from hesitating on markets despite seeing exceptional founders early. He details the Figma miss as a failure to understand seat expansion beyond designers, and the Plaid miss as misunderstanding incentive structures that prevented banks from building the ‘obvious’ solution.
- •Common pattern: over-indexing on market skepticism despite founder quality
- •Figma: underestimating collaboration-driven seat expansion beyond designers
- •Signals existed (non-design paid usage) but weren’t weighted correctly
- •Plaid: banks lacked incentive to enable easy money movement—incumbent inertia mattered
- 54:14 – 59:12
Specialist vs. generalist: curiosity, ‘biologist vs physicist,’ and knowing when deep benchmarks help or hurt
Miles describes himself as curiosity-driven and founder-led, becoming a specialist in each company’s unique situation rather than a narrow domain. He admits specialists can induce insecurity but argues checklists can miss new ‘adaptations’ that define category-defining companies.
- •Breadth comes from curiosity and founder pull rather than a coverage plan
- •Generalists can specialize in the company context: strategy → sequencing → org
- •Biologist vs physicist: seek adaptations vs enforce fixed laws/playbooks
- •Specialists’ benchmarks are useful, but can be wrong when the playbook must break
- 59:12 – 1:02:04
Investing in AI early: why LLMs felt like a new computing paradigm and why LangChain made sense
Miles explains how 2022 evidence of emergent reasoning and agentic patterns shifted his view from ‘content generation’ to a new paradigm. He believed every engineer would become an AI engineer, creating demand for frameworks and tooling—leading to Benchmark’s partnership with Harrison at LangChain.
- •Mid-2022 signals: reasoning capacity, ReAct-style agent loops, self-feedback
- •Shift from ML ‘wizardry’ to AI becoming part of every developer’s workflow
- •Need for new app frameworks/tools in a stochastic, multi-model environment
- •LangChain as an abstraction layer enabling developers to build agentic/RAG systems
- 1:02:04 – 1:19:52
Why ‘copilot’ is an incumbent strategy—and the disruptive path is ‘sell the work, not the software’
Miles argues copilots fit incumbents because they already own distribution, workflows, data, and pricing models. Real disruption comes from a new architecture where software performs work via agents and is sold on outcome SLAs—moving from worker UX to manager/control-center UX.
- •Copilot = assistive layer on existing products (GitHub/Microsoft-style)
- •Incumbents are advantaged: distribution + data + UX + business model alignment
- •Next architecture: control centers, agents doing work, outcome-based SLAs
- •Business model shift: from seats/uptime to delivered results and work performance
- 1:19:52 – 1:26:04
AI market timing, ‘wrapper’ critiques, and where value accrues: infrastructure now, applications later (and the churn risk)
Miles responds to ‘wrappers on GPT’ by separating shallow copilots from deeper architectural rethinks, noting enabling capabilities (better models, fine-tuning access) are still emerging. He expects hype-driven adoption to create ‘empty-calorie’ traction and churn, while durable value compounds as real outcomes-based systems mature.
- •Many visible AI products are copilots; deeper shifts require new capabilities/time
- •Fine-tuning and stronger open-source models expand what startups can build
- •Adoption can resemble high-fructose sugar—fast signups, unclear durability
- •Value accrual: infrastructure/tooling (e.g., LangChain, chips) enables future breakout apps
- 1:26:04 – 1:31:01
LangChain’s origin story and capital discipline: relationship-building, open-source momentum, and ‘too much money too soon’
Miles describes spending months with Harrison as LangChain’s open-source library gained traction, without pressuring him to ‘found a company.’ He also discusses the risks of overcapitalization and why culture and hiring bottlenecks—not cash—should pace expansion.
- •Deal dynamic: time together, sequencing discussions, and founder-led decision to start
- •Open source as the wedge for developer adoption and abstraction standardization
- •Too much money can distort priorities; culture must resist frivolous spend
- •At LangChain, hiring and initiatives constrain pace more than funding does
- 1:31:01 – 1:43:38
Running, endurance mindset, and quick-fire: parenting, ZIRP lessons, respected investors, and ‘founder respect’ on boards
The conversation closes with Miles’s running background—ultras, adventure racing, and mental tactics for pushing through pain—followed by rapid-fire reflections. He shares parenting’s impact on presence and patience, leadership lessons from post-ZIRP corrections, and his board philosophy centered on respect and proactive support.
- •Endurance principle: ‘one more step’ and continuing through discomfort
- •Parenthood increases presence and awareness of how you ‘show up’ for others
- •ZIRP reflection focuses on leaders correcting mistakes quickly and ego-free
- •Board ethos: ‘founder respect’ over ‘founder friendly,’ and ‘first-to-call’ proactivity
