AngelList CEO Avlok Kohli: The Funding Market Today; Last-Mile Delivery; Competing w/ Carta | E1005

AngelList CEO Avlok Kohli: The Funding Market Today; Last-Mile Delivery; Competing w/ Carta | E1005

The Twenty Minute VCApr 25, 202358m

Avlok Kohli (guest), Harry Stebbings (host), Narrator, Narrator

State of the venture funding market across stages (pre-seed to Series C+)AngelList’s business model, margins, pricing, and platform strategyUse of AI and LLMs to automate fund operations and scaleSeed and micro-fund dynamics, LP behavior, and secondariesCompetition in cap tables and infrastructure (AngelList vs. Carta, etc.)Operating philosophy: speed, anti-process, and product-focused cultureStrategic focus on the US, market share goals, and future roadmap

In this episode of The Twenty Minute VC, featuring Avlok Kohli and Harry Stebbings, AngelList CEO Avlok Kohli: The Funding Market Today; Last-Mile Delivery; Competing w/ Carta | E1005 explores angelList CEO Dissects Venture Downturn, AI Leverage, And Beating Carta AngelList CEO Avlok Kohli discusses the current venture funding landscape using AngelList’s proprietary data, highlighting a sharp contraction in Series A–C activity while pre-seed and seed valuations remain buoyant. He explains how AngelList has built a high-margin, platform-style business across funds, SPVs, and cap tables, and why macro headwinds haven’t materially hurt the company. Kohli outlines AngelList’s product and pricing strategy, its decision to pull back from Europe, and its aggressive push into cap tables against incumbents like Carta. He also shares operating principles on speed, product focus, AI-driven automation, and why great teams still need great markets.

AngelList CEO Dissects Venture Downturn, AI Leverage, And Beating Carta

AngelList CEO Avlok Kohli discusses the current venture funding landscape using AngelList’s proprietary data, highlighting a sharp contraction in Series A–C activity while pre-seed and seed valuations remain buoyant. He explains how AngelList has built a high-margin, platform-style business across funds, SPVs, and cap tables, and why macro headwinds haven’t materially hurt the company. Kohli outlines AngelList’s product and pricing strategy, its decision to pull back from Europe, and its aggressive push into cap tables against incumbents like Carta. He also shares operating principles on speed, product focus, AI-driven automation, and why great teams still need great markets.

Key Takeaways

Venture is in a severe downturn at Series A and beyond, but early-stage pricing is holding up.

AngelList data show a rapid, unprecedented collapse in activity and up-round rates for Series A–C deals, while pre-seed/seed valuations remain elevated due to multi-stage firms moving earlier and new, less price-sensitive check writers at the earliest stages.

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Only companies with real traction can raise follow-on rounds; many others are effectively shut out.

Series A and B rounds are increasingly reserved for startups with credible traction, while a significant cohort simply cannot raise at all, leading to extended runways via layoffs and delayed repricing that will likely surface as down rounds and pay‑to‑play structures in coming quarters.

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LP behavior is bifurcating: individuals are pulling back, institutions are cautiously returning.

Individual LP commitments to traditional venture funds are down ~60%, while institutional commitments, after dropping, have begun to rebound—likely driven by clearer macro expectations and the perceived scale of the AI cycle.

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AngelList’s platform model and automation enable strong margins despite market headwinds.

By deeply automating fund admin, tax, reporting, and workflows (increasingly with LLMs) and cross-selling multiple products (funds, SPVs, cap tables, AngelList Capital), AngelList reports >80% blended margins and resilience even as net-new fund formation slows.

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AI is already materially reducing ‘judgment’ work in venture operations.

AngelList uses LLMs to triage and route ~15,000 complex weekly emails, auto-classify legal docs, detect missing items (e. ...

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Fast execution comes from ambitious people, clear deadlines, and ruthless anti-process.

Kohli attributes AngelList’s product velocity to hiring highly ambitious, “dissatisfied” builders, setting aggressive launch timelines, removing blockers rapidly, and aggressively killing meetings and processes that slow shipping products customers love.

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Being first to market matters less than navigating the ‘idea maze’ and having a great market.

Drawing on his Fastbite experience, Kohli argues that first movers often just build the idea maze for later entrants, and that success requires both a strong team and a strong market; a stellar team alone can waste years in a fundamentally bad or capped market.

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Notable Quotes

Startups die of suicide, not homicide.

Avlok Kohli

The only purpose for a company is just a group of individuals that are coming together to build product for your customers. Any process, anything that gets in the way of that, crush it.

Avlok Kohli

Definitionally, you don’t have any defensibility on day one.

Avlok Kohli

We will be the fabric of venture… all the activity that happens in venture, investing, ownership management, rather than being done in spreadsheets and offline, it’s all done in software on AngelList.

Avlok Kohli

I actually think you need a great team and a great market to come together; otherwise you just have a great team that can burn a lot of cycles on a market that is just utterly broken.

Avlok Kohli

Questions Answered in This Episode

If pre-seed and seed valuations stay high while later stages reset, how should founders and early-stage investors rethink round sizing and burn today?

AngelList CEO Avlok Kohli discusses the current venture funding landscape using AngelList’s proprietary data, highlighting a sharp contraction in Series A–C activity while pre-seed and seed valuations remain buoyant. ...

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How far can AI realistically replace ‘judgment’ work in venture operations before hitting limits where humans must stay in the loop?

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In a world where brand-name LPs prefer established firms, what practical signals should they use to underwrite first-time fund managers more fairly?

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What unique regulatory or structural innovations would AngelList need to crack to confidently re-enter Europe and replicate its US platform dominance?

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As cap table management becomes more deeply integrated with fund admin and secondaries, how might that reshape power dynamics between founders, investors, and infrastructure providers like AngelList and Carta?

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Transcript Preview

Avlok Kohli

Let's not have meetings about meetings, or process about process. None of that shit matters, right? The only purpose for a, a company ... It's just a group of individuals that are coming together to build product for your customers. Any process, anything that gets in the way of that, crush it. If we have too many meetings, cancel the meetings. Like, I'll regularly go cancel all of my meetings on the calendar because all that really matters is that you're shipping products that your customers love. And anything that gets in the way of that and you drag, kill it, crush it, and just focus on speed. (instrumental music plays)

Harry Stebbings

Avlok, I'm so excited for this, my friend. It's been a while since we last had you on the show, but I wanna start today with a little bit of context. So, how did you come to be CEO of AngelList and what was that entry to the role for you?

Avlok Kohli

Yeah. So the background is Naval, who's one of the founders of AngelList, had been an investor in all three of the companies I've started. Uh, so I started one company in 2011, then another in 2014, and then another in 2017. And Naval was an investor in all three. And when I wrapped up the acquisition of the last company, uh, I stepped back, and was effectively gonna just focus on investing. Uh, so a semi-retired life at that point for me, uh, since I wasn't building anything new. Um, and Naval approached me to consider stepping in at AngelList as CEO, uh, as he'd already stepped back, I believe, in late 2018, if I remember correctly. And it was, uh, you know, ori- originally it was a hard, hard decision. But I said, "Hey, may- ... It's probably not the right fit." I was just coming off of the last startup. And as you know, startups are a marathon and it gets quite intense. Uh, but the idea of AngelList and the concept of AngelList just stuck with me, and we kept talking every week, every other week. And six months into it, uh, I fell in love with the, uh, opportunity and officially accepted in mid-July. And, uh, Naval said, "Can you start tomorrow?" And that was it. (laughs) And it's been crazy ever since.

Harry Stebbings

Now before we dive into some of the craziness, I just have to ask about one of the startups you founded. Um, believe it or not, um, you know, last-mile delivery is a, a passion area of mine.

Avlok Kohli

(laughs) Professional.

Harry Stebbings

Um, and so my question to you is, I know Gokul, um, obviously, and you kind of coincided around this, uh, with Fastbite, which was 15-minute delivery. And it was the first 15-minute delivery startup. "What were your single biggest lessons from the Fastbite experience?" was Gokul's question.

Avlok Kohli

So it was act- ... Average delivery time was actually seven minutes, um, even though we billed it as 15. I, I would say, um ... I'll actually share two of the lessons. I think first one is building for yourself will lead to a much higher probability of building something that people love. Because when you're building for yourself, you then just need to believe you can find other people like yourself that are gonna use the product. Uh, and the second one, and the reason I, I wanna add this one, is you wanna think about the variables that you can optimize for the utility function of your product. So, every product, any product you use has some utility function. The utility function could be price, convenience, speed, right? Anything. The customer experience itself. And you wanna think about, what are you optimizing on? Because different products actually have different diminishing returns. And as you think about really fast delivery, uh, you can optimize on the delivery speed, but then sometimes people actually don't want it to be as fast, right? They actually want it to be a little bit slower. And so that was a pretty good lesson for me in terms of how to think about overall product experience. It isn't just about a single variable you wanna optimize on; you wanna optimize on multiple.

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