The Twenty Minute VCKyle Samani: Why Bitcoin is Not a Hedge Against Inflation | 20VC #909
CHAPTERS
- 0:00 – 3:05
From Google Glass startup to discovering Ethereum and launching Multicoin
Kyle recounts his first startup building Google Glass software for surgeons, the painful pivot after Google killed Glass, and how that reset pushed him to explore crypto. He explains discovering Ethereum in 2016, recognizing the potential of smart contracts for “permissionless finance,” and then forming Multicoin with Tushar in 2017.
- •Built Pristine for surgeons using Google Glass; acquisition after platform risk materialized
- •Firsthand lesson: platform dependency can kill otherwise viable businesses
- •Ethereum experimentation revealed programmable finance far beyond traditional payment APIs
- •The Gnosis ICO as a catalyst moment to start a fund
- •Multicoin’s launch timeline: liquid fund (2017) then venture funds (2018 onward)
- 3:05 – 4:14
A painful lesson: you can’t be great at trading and venture at the same time
Kyle describes an early strategic mistake at Multicoin: trying to trade markets while also doing deep fundamental research and venture investing. After costly errors, they narrowed their strike zone and shifted to thesis-driven, indefinite-horizon holding.
- •Tried to combine trading, fundamental research, and venture—proved untenable
- •Made “very bad” trading mistakes, but survived
- •Dropped active trading; Kyle stopped watching prices
- •Shifted to thesis formation with an indefinite holding period
- •Clarified the firm’s true strengths and process
- 4:14 – 5:04
High performance as an investor: culture plus cognitive fitness
Kyle frames high performance in investing as both organizational and personal. He emphasizes building a culture that supports execution and treating cognitive performance as trainable through health routines.
- •High performance starts with the right team culture and execution frame
- •Cognitive performance is central to investing quality
- •Sleep, diet, exercise are treated as core inputs
- •“Brain is a muscle” mindset for consistent performance
- •Supplements/meds mentioned as part of an eyes-wide-open approach
- 5:04 – 6:58
What tokens are—and why valuation is confusing in crypto
Kyle defines tokens as assets that can be priced and sometimes valued via cash-flow logic, while acknowledging many major crypto assets lack an obvious DCF framework. He explains how this mismatch contributes to confusion when comparing tokens to more traditional assets.
- •Tokens are assets; some can be valued with DCF, others are supply/demand-driven
- •Gold is an example of an asset without a DCF; some tokens may be similar
- •Multicoin prefers assets that can plausibly support DCF-style valuation long term
- •Largest crypto assets (e.g., Bitcoin, L1s) often lack an obvious DCF
- •Lower down the market-cap curve, more assets should be DCF-analyzable
- 6:58 – 9:37
Tokens vs equity: why “value accrues to both” is usually a trap
Harry probes how to think about deals that require buying tokens alongside equity. Kyle argues that value shouldn’t accrue to both token and equity simultaneously in most structures, because incentives in the “capital stack” can conflict and create downstream issues.
- •Token + equity value accrual often creates conflicting incentives
- •Founders sometimes pitch both accruing value; Multicoin typically rejects this
- •Crypto private rounds often look like SAFEs with token warrants
- •Multicoin primarily underwrites token value, often viewing equity as negligible
- •Tokens make sense only when they incentivize permissionless coordination
- 9:37 – 13:46
Helium as the textbook case: tokens bootstrapping real-world networks
Kyle uses Helium to illustrate how tokens can subsidize early risk-taking to reach critical mass in a network with steep coordination hurdles. He explains how token emissions reward early participants more, aligning incentives to build infrastructure before demand exists.
- •Traditional telecom buildouts are capex-heavy and centrally planned
- •Helium shifts costs to individuals deploying hotspots, removing labor/land/backhaul costs
- •Networks can be worthless below a critical mass; early builders take extra risk
- •Requiring tokens to use the network can create organic demand (buy-and-burn)
- •Fixed emissions per time period reward early participants more than latecomers
- 13:46 – 15:33
The flip side: token incentives can weaken moats and make competition easier
Kyle argues that the same mechanisms that help bootstrap a network can help competitors bootstrap alternatives. He highlights retail appetite for venture-like upside when liquidity and time horizons are shorter, enabling quicker migration to “the next 100x.”
- •Lower barriers to bootstrap means rivals can also launch incentive-driven competitors
- •Hardware and participation may be less sticky than assumed if upside is compelling
- •Retail demand for venture-skewed returns is larger than many expect
- •Shorter liquidity timelines change willingness to experiment with new networks
- •Consumer behavior adapts once “100x in 12–24 months” feels plausible
- 15:33 – 18:34
Do tokens distribute wealth? Kyle’s case for broader ownership—and early pitfalls
Kyle strongly claims tokens distribute wealth relative to traditional startup equity, which mostly accrues to VCs and employees. He also notes early operational challenges of token issuance, from internal controls to managing a suddenly large and motivated community.
- •Traditional equity ownership is narrow; tokens can reward customers/suppliers/partners
- •He frames today’s lack of broader ownership as a regulatory artifact
- •Issuing a token creates major operational complexity for small teams
- •Insider trading risk is real; tooling and controls are immature
- •Community management challenge: thousands of non-employees want to contribute
- 18:34 – 20:41
Liquidity in token markets: shorter feedback loops without changing the thesis mindset
Harry presses on volatility and real-time drawdowns. Kyle says liquidity doesn’t change their psychology because they only invest when they’re willing to hold “forever,” but it does accelerate feedback on whether they’re good at investing.
- •Multicoin invests only when the intended horizon is effectively permanent
- •Liquidity doesn’t dictate decisions if thesis is long-term
- •Token markets provide faster performance feedback than traditional venture
- •Kyle claims volatility doesn’t affect him—he avoids watching prices
- •Liquidity is valuable mainly for learning and iteration speed
- 20:41 – 25:44
Inside Multicoin’s operating system: writing, brutal rigor, and hiring by essays
Kyle describes a memo-driven, highly adversarial investment committee designed to surface errors and force precision. He explains why they favor explicit disagreement and how that philosophy shapes hiring—starting with writing quality rather than pedigree.
- •Heavy focus on writing; IC starts with silent Google Doc commenting
- •Goal is to identify logical fallacies, holes, and wrong assumptions systematically
- •Belief: truth-finding requires active disagreement, not politeness theater
- •Fortitude is a filter—people must withstand rigorous critique
- •Hiring begins with: “Write an essay better than our blog,” then defend it to the team
- 25:44 – 29:35
Collaboration, sharp elbows, and why Multicoin avoids rigid portfolio construction
Kyle questions whether crypto is still as collaborative as it once was, noting competition has intensified as fund sizes grew. He also rejects traditional portfolio “buckets,” reserves models, and stage constraints, arguing they can block outlier opportunities like Helium.
- •Collaboration only works mathematically if outcomes scale accordingly
- •Crypto felt more collaborative earlier; now competition is tougher
- •Multicoin uses few formal portfolio rules and doesn’t do reserves
- •They view predefined sector buckets as potentially value-destructive
- •Stage-agnostic check sizes: from $1M to $300M, depending on conviction
- 29:35 – 33:27
Why Multicoin is market-first (not founder-first) and how they build conviction
Kyle contrasts Harry’s founder-centric seed philosophy with Multicoin’s market-centric approach, claiming most discussion time goes to market structure. He outlines their method: identify returns to scale, evaluate defensibility and response dynamics, and find the wedge to breakout.
- •Multicoin spends the vast majority of diligence time on market, not product UI
- •Founder evaluation focuses on founder–market fit and technical credibility
- •Key question: where do returns to scale come from as the system grows?
- •Network effects aren’t the only returns-to-scale mechanism
- •They analyze competitive responses once the core insight becomes widely known
- 33:27 – 35:35
Network effects framework: sublinear vs linear vs superlinear—and sizing accordingly
Kyle introduces a curve-shape view of network effects, arguing most are sublinear (often logarithmic). He says estimating the curve’s shape more precisely drives conviction and position sizing, especially when effects appear closer to superlinear early on.
- •Network effects can be sublinear, linear, or superlinear based on value vs users curve
- •Kyle believes most network effects are sublinear/logarithmic
- •More precision on curve shape can improve investment conviction
- •Superlinear (or early superlinear) dynamics justify larger sizing
- •He distinguishes curve shape from other classifications like inclusionary vs exclusionary
- 35:35 – 38:21
Information advantage, FOMO, and operating at high throughput
Kyle admits he lives in constant FOMO and channels it into relentless information consumption. He explains his sources (Twitter, newsletters, TechMeme) and how he carves out 3–4 hours daily by integrating reading into workouts and meals.
- •Kyle embraces FOMO rather than suppressing it
- •Belief: information intake is inefficient but extremely effective competitively
- •Primary sources include Twitter and dozens of daily newsletters
- •Protects 3–4 hours/day for reading by stacking with routine activities
- •He no longer reads books, focusing on faster, continuous inputs
- 38:21 – 45:37
What drives crypto bull markets, scaling an investment firm, and decision-review discipline
Kyle argues recent bull markets were driven less by leverage and more by innovations in capital formation and token distribution. He then discusses the difficulty of scaling an investment team beyond ~10, and how Multicoin reviews decisions quarterly to assess thesis quality and sizing.
- •Leverage exists but he disputes that it meaningfully increased cycle-to-cycle
- •“Hidden leverage” can appear in CeFi lending and treasury dynamics
- •Bull markets attributed to novel capital formation breakthroughs
- •Belief: investment teams over ~10 become process/culture value-destructive
- •Quarterly decision reviews focus on what was knowable and whether sizing was right
- 45:37 – 47:03
Loss rates, time-to-liquidity, and how token exits actually happen
Kyle claims loss rates are lower in crypto venture because time-to-liquidity allows investors to exit when a thesis is invalidated—sometimes still at a positive multiple. He describes managing signaling risk by coordinating with founders and using long TWAP exits instead of sudden block sales.
- •Kyle says loss rates are lower than traditional venture due to earlier liquidity
- •Tokens can trade up quickly; investors can exit when conviction breaks
- •They communicate with founders before selling to manage signaling and alignment
- •Exits are executed responsibly via long TWAPs (months, even a year)
- •Liquidity changes the ability to correct mistakes, not the initial thesis standards
- 47:03 – 53:30
Rapid-fire worldview: Bitcoin, Solana vs Ethereum, regulation, and Delphia
In quick-fire, Kyle names a favorite essay, rejects Bitcoin as an inflation hedge, and explains why he believes Solana outcompetes Ethereum—centered on scaling-plan clarity for developers. He closes with a desire for laissez-faire-style regulatory clarity and discusses Delphia, a data DAO using aggregated user data to trade equities.
- •Last mind-blowing content: Eugene Wei on social graphs’ path dependence
- •Bitcoin: “not a hedge,” criticized as non-productive compared to inflation-resistant businesses
- •Solana vs Ethereum: argues Ethereum lacks a credible, predictable scaling plan
- •Regulatory change: wants clearer capital formation rules via Congress/SEC action
- •Delphia thesis: users contribute data to improve trading performance and share upside
