The Twenty Minute VCNikhil Basu Trivedi: Why 99% of AI Investments Will Go Bust | E1057
CHAPTERS
- 0:00 – 4:21
Career advice for new VCs: ignore titles, focus on the job; outliers need exceptions
Nikhil shares the two core pieces of advice he’d give his younger self: don’t over-index on your role/title, and keep room in your framework for exceptional outliers. Harry pushes on how this advice applies to founders navigating firms and decision-makers.
- •VC job decomposition: find, decide, help, exit (and operate like a VC regardless of title)
- •Founders shouldn’t automatically avoid associates—judge the conversation quality
- •“Exceptional companies deserve exceptions” as a guiding investing mantra
- •Venture outcomes are driven by outliers; rigid models can miss them
- 4:21 – 7:09
Canva as the archetypal “exception”: seeing PMF signals through the noise
The conversation unpacks why Canva broke many traditional venture “rules” yet was compelling once Shasta dug into usage data. The lesson: early product love and retention can outweigh geographic, team-profile, and narrative objections.
- •Canva context: Sydney-based, convertible note, no revenue, early traction
- •Counter-signals: non-technical founding team, couple dynamics, non-obvious investor set
- •What mattered: MAUs, design creation volume, cohort retention, organic growth
- •Ignoring surface-level noise to focus on the PMF evidence
- 7:09 – 10:25
Small funds vs big funds: the math of fund size, ownership, and return targets
Harry and Nikhil debate why smaller funds often outperform and how fund size changes the return hurdle rate. They dig into incentives and why the industry still chases AUM despite the arithmetic.
- •Footwork’s bias: small funds outperform; large funds struggle to deliver high net multiples
- •Return math examples: needing “Canva-scale” outcomes to move large funds
- •GP/LP incentive misalignment: maximizing fees vs maximizing multiples
- •Why downsizing funds is painful (teams, brand, reputation)
- 10:25 – 13:37
When “paying up” hurts founders: round sizing, capital constraints, and PMF discipline
They explore why big multi-stage funds can outbid specialists and why that may be a misalignment for early-stage companies. The discussion emphasizes that too much capital pre-PMF can reduce urgency and worsen outcomes.
- •Large funds are less price-sensitive; smaller funds can’t always match terms
- •Taking less money can preserve focus while searching for PMF
- •Big early rounds often underperform; “stellar VP raises huge pre-seed” pattern
- •Constraints can force better decisions for both founders and investors
- 13:37 – 18:39
Seed deals in hot markets (AI): why stage specialists avoid hype-driven pricing
Footwork’s approach prioritizes slightly later seeds/early As where something is already working, rather than competing in star-studded, overheated categories. They explicitly call out AI seed behavior by large funds.
- •Footwork invests where there are early sparks, not necessarily in the hottest themes
- •Skepticism on foundation model “seed” rounds funding GPU CapEx
- •Media misreporting and structuring (notes vs priced rounds) distort reality
- •Concern about companies with long runway but no PMF: runway must lead to takeoff/landing
- 18:39 – 23:42
How Nikhil ranks investment inputs: traction/PMF signals first, then people, then market
Nikhil explains his unconventional ranking: prioritize evidence of product resonance over market sizing narratives. Harry connects this to repeated investor hindsight about underestimating market size in breakout companies.
- •Ranking: traction/early PMF > people > market
- •Signals can be retention, repeat usage, word of mouth, or customer “can’t live without it”
- •“In the wild” research: reviews, tutorials, public footprint before meeting the company
- •Market sizing is hardest to predict; directionality matters more than precision
- 23:42 – 30:35
Founder assessment pitfalls: fundraising skill vs business-building skill
Nikhil reflects on a recurring mistake—being seduced by slick fundraising that masks weak execution fundamentals. He shares tactics to stress-test substance and self-awareness.
- •Failure mode: strong storytellers who can raise, but can’t build/execute
- •2021 fundraising environment amplified this mismatch
- •Sense-checking “too slick” founders: test for depth beneath narrative
- •Board-meeting roleplay question to probe clarity, honesty, and priorities
- 30:35 – 36:49
Footwork’s decision-making model: voting, commitment, and operating as a true duo
Nikhil describes how he and Mike decide: one must be a strong ‘yes,’ the other can’t be a hard ‘no.’ They discuss why trust and values alignment matter—and how Footwork tries to avoid internal politics and attribution games.
- •Decision rule: one partner must be a ‘4’; the other cannot be a ‘1’
- •Disagreement is fine if partnership trust enables full commitment afterward
- •Non-traditional teamwork: both attend board meetings in year one
- •Critique of dysfunctional partnerships where internal selling/politics drive outcomes
- 36:49 – 40:04
Building the LP base: selection criteria, concentration limits, and LP diversification
Nikhil breaks down how Footwork chose LPs using a ranked scoring system and why they capped concentration. They also discuss structuring an LP base across endowments, foundations, FoFs, and family offices to reduce correlated risks.
- •Three LP criteria: relationship quality, world-class push, institutional mission/values
- •Fundraising demand: significant oversubscription for Fund I
- •Concentration philosophy: no LP over 20% to avoid outsized influence
- •LP mix matters: diversify LP types to avoid shared denominator-effect timing
- 40:04 – 45:50
How LPs really behave: anchors, “sheep” dynamics, and what LPs miss about managers
They discuss how few LPs truly lead first-time funds and how social proof drives commitments. Nikhil argues LPs often underweight the human attributes—hunger, drive, decision-making quality—that VCs can observe in each other.
- •Small set of independent, first-check LPs for emerging managers
- •Anchor strategy vs using respected GP/founder LPs as credibility + intro leverage
- •Footwork’s deck social proof: board references and inbound investor interest
- •LP diligence gap: not enough cycles spent assessing the people/partnership
- 45:50 – 48:55
Strengths & weaknesses as a VC: sourcing pressure, calendar audits, and platform skepticism
Nikhil identifies sourcing as his current weak spot and explains how Footwork audits time allocation to ensure pipeline health. They also critique the platform “value-add” arms race as often firm-scaling rather than company-scaling.
- •Weakest area: sourcing—hard as a two-person, seed+A generalist firm
- •Calendar audits: target >50% time on meeting new companies/sourcing
- •Board load vs sourcing ratio tension as the firm scales
- •Platform teams: helpful in rare cases, but often overhyped and non-differentiating
- 48:55 – 52:39
Biggest wins and misses: Farmer’s Dog upside and the Figma miss (and why)
Nikhil shares a lesser-known top performer (Farmer’s Dog) and why simplicity plus tailwinds can create enormous value. He also discusses missing Figma due to his preference for PMF evidence before investing.
- •Big win: The Farmer’s Dog—simple model, unique insight, strong pet-market tailwinds
- •Lesson: some of the best businesses are straightforward but executed exceptionally
- •Miss: Figma—deep respect for Dylan Field, but product hadn’t launched in early rounds
- •Tradeoff tension: PMF-evidence bias can cause misses in “patient pre-product” bets
- 52:39 – 57:28
Fatherhood and investing: time scarcity, control, and redefining priorities
Harry and Nikhil shift to how becoming a parent changes one’s relationship to control, schedule, and productivity. Nikhil explains how fatherhood reshapes what he’s willing to spend time on as an investor and partner.
- •Advice to new parent self: embrace loss of control; joy comes from surprises
- •Impact on marriage: less time, more shared purpose and clarity on what matters
- •Investing filter tightens: must believe in a deal enough to spend scarce time on it
- •Schedule reality: protected family windows, late-night work, overall lower productivity
- 57:28 – 1:08:22
Quick-fire: AI skepticism, AUM vanity, pro-rata mistakes, and Footwork’s long-term vision
In quick-fire, Nikhil highlights his cooling stance on AI investing amid hype, critiques AUM as a vanity metric, and reflects on pro-rata errors during the boom. He closes with what Footwork should look like in a decade: a small, founder-first partnership with a few defining companies.
- •Changed mind: AI is interesting, but current hype/pricing/competition reduce opportunity
- •AUM as a metric is “stupid”; dollars returned matter most
- •2020–22 mistake: following on at huge markups without real de-risking; more discipline needed
- •10-year vision: potentially add 1–2 true equal partners; be lead investor for several iconic companies
