Nov 6, 2025 · 49m · capital-allocators
Dave Thornton – Unlocking Venture Access Through Stock Options at Vested (EP.469)
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Dave Thornton, co-founder and CEO of Vested, discusses how his platform provides liquidity to startup employees by financing option exercises at 409A discounts while creating a diversified, data-driven index of top venture-backed companies for investors.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Ted holds 9.6% of the talking time here. How this is scored →
Ted as informed peer 5.0 Guest teaching 6.6 Guest disagreement 1.3 Ted pushing back 1.3
speaking balance: gold is Ted, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 34:45 Rejecting naive winner-picking assumptions
Dave bluntly affirms Ted's skepticism regarding power laws, agreeing that predicting single top winners is impossible and rejecting the premise of narrow portfolio concentration.
Hardest push from Ted ▶ 34:38 Ted questioning pricing accuracy in power-law marketsTed presses Dave on how any pricing model can provide meaningful accuracy when venture capital outcomes are dominated by extreme tail power-law distributions.
Biggest teaching moment ▶ 23:15 Breaking down the mechanics of option exercise taxationDave delivers a comprehensive breakdown of strike prices, fair market value spreads, AMT, and ordinary income tax burdens faced by startup employees.
Ted holds their own ▶ 38:16 Ted pressing on the operational limits of long-tail scalingTed directly highlights the structural friction of scaling small, labor-intensive long-tail trades into an institutional-grade investment firm.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Ted as informed peer | Guest teaching | Guest disagreement | Ted pushing back | Why |
|---|---|---|---|---|---|---|
| Dave Thornton’s Career Background and Formative Experiences | 4 | 6 | 1 | 1 | Ted opens with an open-ended prompt about Dave's background. Dave explains his evolution from Citi Alternative Investments to startups, law school, and discovering the startup equity tax trap through a mistake with an employee. | |
| Early Ventures in Sports Analytics and High-Stakes Poker | 4 | 6 | 1 | 1 | Ted asks Dave to elaborate on non-traditional ventures mentioned in passing. Dave details his work creating algorithms for NBA teams, underground poker games, municipal bond pricing, and DFS betting. | |
| Identifying the Liquidity Gap for Rank-and-File Startup Employees | 5 | 7 | 2 | 1 | Ted asks how Dave turned the employee equity insight into a business. Dave explains the initial educational pivot when inbound users kept asking for money within their 90-day post-termination exercise windows. | |
| Structuring Vested’s Investment Strategy and Valuation Discounts | 5 | 7 | 1 | 1 | Ted probes into how Vested accesses capital and constructs value. Dave explains capturing discounts on common stock fair market value and combining it with a quantitative selection model to pick top-quartile venture companies. | |
| Quantitative Modeling and Unique Data Signals for Startups | 6 | 7 | 2 | 2 | Ted asks for details on the data streams feeding the selection model and how Dave tests hypotheses. Dave categorizes the signals into table stakes, differentiated public/filing data, and unique behavioral employee responses. | |
| Sourcing Deals and Calculating Option Exercise Transaction Costs | 5 | 7 | 1 | 1 | Ted asks about deal sourcing mechanics and option pricing calculations. Dave outlines automated outreach via LinkedIn changes and walks through a clear numeric breakdown of exercise strike prices, AMT, and ordinary income tax burdens. | |
| Mitigating Delivery Risk and Aligning Counterparty Incentives | 5 | 7 | 1 | 1 | Ted inquires about mitigating delivery risk when purchasing future stock from individuals. Dave explains why historical non-delivery is virtually nonexistent in smaller rank-and-file ticket sizes due to aligned incentives and post-liquidity payouts. | |
| Harnessing AI and Structuring Diversified Venture Portfolios | 5 | 6 | 1 | 1 | Ted asks about the application of AI and resulting portfolio construction. Dave clarifies using traditional regression and LLMs solely for unstructured message processing, noting the natural stage distribution across Series B through E. | |
| Pricing Model Calibration, Power Laws, and Defensible Moats | 6 | 7 | 2 | 2 | Ted pushes back on whether a pricing model can accurately evaluate power-law startup returns. Dave agrees individual winner picking is impossible, explaining that the model identifies the top 20% bucket and takes broad diversified exposure across it. | |
| Brand Expansion, the Vestimate Tool, and LP Reception | 5 | 6 | 1 | 1 | Ted asks about building the Vested brand and LP sentiment toward an unconventional venture secondaries strategy. Dave discusses the 'Vestimate' tool and differing LP profiles from skeptics to access-starved allocators. | |
| Scalability, Company Relationships, and the Future of Private Secondaries | 6 | 7 | 2 | 2 | Ted challenges the scalability of small-ticket secondary strategies and asks where friction arises. Dave details why early startup boards prefer indirect employee funding over formal retitling until transaction volumes grow substantial. | |
| Reflections on Mentorship, Career Lessons, and Private Market Indexing | 4 | 6 | 1 | 1 | Ted closes with standard personal reflection questions. Dave shares stories about his first dot-com job, mentors Randy Wynn and Emilio Cejo, and compares private secondary development to the evolution of public indexing. |
Statements from this episode (17)
Startup employees frequently mishandle their equity and tax obligations
“If somebody with my background at this point in the game is screwing up startup equity, I'm sure your average startup employee is also probably screwing up their startup equity.”
Companies facing acquisition freeze spending to preserve revenue multiples
“Usually you don't spend any new money when you're being acquired, because every dollar that goes out the door has some revenue multiple attached to it.”
Departing startup employees typically need $50,000 to exercise expiring stock options
“The capital use case that was the dominant capital use case that came inbound from our user base was, do you have 50 grand? I need to not lose my equity.”
Traditional option lenders ignore rank-and-file employees for multi-million dollar executives
“What we saw was the commonality between all of them. I just described a very crowded market was that they were all focused on senior people that were leaving really late stage private companies. And so if you need twelve million dollars and you just left Strip…”
Employee option financing accesses startup common stock at discounted 409A valuations
“Specifically, we can get exposure to the common stock that they're buying usually at the independently produced company board approved fair market value of that company's common stock, which tends to incorporate a Discount for lack of marketability because com…”
Financing employee stock options creates proprietary data on opaque private companies
“If you help a broad base of startup employees, you will end up with a ton of differentiated data on private companies that may or may not be out there in the world otherwise.”
State tax and labor filings provide directional performance signals for private startups
“For idiosyncratic VC backed startups, they're never particularly accurate, but they also have a lot of signal in the trend. They're always consistently inaccurate for the same company, and so if they go up, that means something.”
Hiring a non-founding sales team indicates repeatable product-market fit
“If a company just hired its first non-founding sales team, that means they found product market fit, and it's on repeat, and they can get the founder out of their sales job.”
Startups that quietly lay off 50% of their staff are going to zero
“If a company just fired 50% of its people quietly, it's going to zero.”
Automated LinkedIn tracking identifies startup employees entering 90-day option exercise windows
“We are sitting on top of job website data, think of LinkedIn, and we are paying attention to the employees of the companies that we like, and as soon as we see they update their bio in some relevant way, specifically by putting an end date Next to their tenure…”
Taxing illiquid paper gains on startup stock option exercises is structurally unfair
“Then there is the tax cost, which is the tax that is actually associated with the act of exercising. That is typically applied to the paper gain between the current board approved fair market value of the stock as of the moment you're exercising and whatever y…”
Late-stage unicorns run internal tender offers, bypassing external secondary markets
“Series F plus, those are the companies that are more likely to have proper secondary markets that OpenAI, Stripe, and SpaceX, and they will do tenders for their employees, and so it really is few and far between that those deals make their way into our portfol…”
Venture power laws demand broad indexing rather than attempting to pick winners
“The way that we think about the power law is, one, it's real. Most of the returns are gonna be driven by the big generational companies. Two, picking winners is very hard. Combining those two points, you need to be in every credible deal.”
70% of startup employees abandon their stock options upon departure
“At the moment, around 70% of employees abandon their stock options, and employees tend to own 10 to 15 points of the cap table of a given startup.”
Future competition in option financing will inevitably compress equity purchase discounts
“Eventually competition will come It'll erode our purchase discounts.”
Private secondary markets remain anemic because institutional buyers lack broad startup data
“The secondary markets for private shares right now are totally anemic. Maybe a hundred late stage companies Stock trades. The primary reason that's the case is because the buy side on these markets just don't know anything about the other 30,000 venture backed…”