Apr 25, 2023 · 58m · news
AngelList CEO Avlok Kohli: The Funding Market Today; Last-Mile Delivery; Competing w/ Carta | E1005 · 20VC with Harry Stebbings
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this insightful interview, AngelList CEO Avlok Kohli uses proprietary data to analyze the current venture market downturn, shares his uncompromising philosophy on startup execution speed, and details how AngelList leverages AI to automate operations and drive high platform margins.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 18.6% of the talking time here. How this is scored →
speaking balance: gold is Harry, purple is the guest (3 minute bins)
Avlok explicitly departs from conventional wisdom, firmly rejecting the host's premise that a broad startup acquisition spree is imminent.
Hardest push from Harry ▶ 33:37 Harry presses on pricing vs AI savingsHarry directly puts the guest on the spot, questioning why AngelList raised manager fees while simultaneously cutting operational costs through AI automation.
Biggest teaching moment ▶ 8:31 Avlok details AngelList bear market datasetAvlok walks through proprietary AngelList data tracking positive activity rates, demonstrating that the gap between boom times and the current downturn is the widest in recorded platform history.
Harry holds his own ▶ 12:10 Harry breaks down multi-stage check-writer incentivesHarry showcases deep industry insight by explaining how junior partners at multi-stage funds write price-insensitive seed checks to remain active while senior partners manage portfolio fires.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Harry as informed peer | Guest teaching | Guest disagreement | Harry pushing back | Why |
|---|---|---|---|---|---|---|
| How Avlok Became CEO of AngelList | 3 | 2 | 1 | 1 | Harry opens with an easy conversational tone, bringing in context from Gokul Rajaram regarding Avlok's background at Fastbyte. Avlok politely clarifies that average delivery time was actually seven minutes and outlines product utility lessons. | |
| The Myth of Being First to Market | 5 | 3 | 2 | 4 | Harry offers a strong stance calling early-stage defensibility complete bullshit. Avlok introduces the concept of the idea maze and agrees that day-one defensibility does not exist. | |
| The Fate of European 15-Minute Delivery Startups | 4 | 5 | 1 | 2 | Avlok breaks down the capital requirements and J-curve economics of quick commerce. He introduces AngelList proprietary chart measuring market boom times versus bad times. | |
| The Pre-Seed/Seed Resiliency vs. the Series A Crunch | 7 | 4 | 2 | 5 | Harry pushes back on high seed prices and articulates a detailed insight into multi-stage fund principals writing non-price-sensitive seed checks to stay active. Avlok validates the Series A market compression using AngelList deal data. | |
| The Evolution of Seed Round Structures and Party Rounds | 4 | 5 | 1 | 2 | Harry asks about party rounds and timeline changes for seed rounds. Avlok reveals AngelList data showing a 33% drop in expected company raises compared to historical averages since 2015. | |
| The Impending Brick Wall: Pushed-Out Runways and Down Rounds | 4 | 5 | 2 | 3 | Harry inquires about cram downs and repricing activity. Avlok notes 48 pay-to-play rounds in Q1 and explains how startups are pushing out runway before hitting a cash brick wall. | |
| Why the Expected Startup Acquisition Spree Won't Happen | 5 | 5 | 4 | 4 | Avlok explicitly departs from conventional wisdom by arguing that an M&A spree will not happen due to public and private buyer constraints. Harry challenges whether even $0 acqui-hires make sense given headcount costs. | |
| LP Secondaries and the Secondary Market's Health | 6 | 4 | 2 | 4 | Avlok reports 40-50% discounts on LP secondary trades. Harry counters with broader market knowledge, noting that 40-50% discounts are relatively optimistic compared to 60-70% drops seen elsewhere. | |
| The Shift in LP Commitments and the Resilience of Institutional Capital | 5 | 5 | 1 | 2 | Avlok shares data showing institutional LP commitments recovering rapidly. Harry accurately hypothesizes that market certainty and the AI technology wave are driving this shift. | |
| The Fundraising Crunch for First-Time and Emerging Managers | 3 | 5 | 1 | 2 | Harry asks about net new fund formation and fund sizes. Avlok outlines how first-close timelines extended from 3 months to over 6-7 months while emerging manager fund sizes contracted. | |
| How AngelList Integrates LLMs and AI to Automate Operations | 3 | 5 | 1 | 2 | Avlok explains how AngelList uses LLMs to automate back-office operations, such as automatically classifying and processing 15,000 incoming deal and legal emails per week. | |
| The Rationale Behind AngelList's Pricing Adjustments | 6 | 4 | 3 | 7 | Harry directly confronts Avlok on pricing increases for fund managers despite internal efficiency gains from AI. Avlok clarifies that changes reflect removing an outdated cap meant for tiny funds. | |
| Platform Margins and the Failure of Assure | 5 | 6 | 2 | 3 | Harry asks about loss leaders and margins. Avlok reveals 80%+ platform margins, cites strategic lessons from Square, and explains why competitor Assure spectacularly blew up. | |
| Hindsight Mistakes: Startup Incorporation vs. RUVs | 4 | 5 | 2 | 3 | Avlok reflects on product mistakes like startup incorporation and explains why he deliberately shut down AngelList's European presence to focus on dominating the US market. | |
| Defining 'Winning the U.S.' and Current Market Share | 5 | 4 | 3 | 5 | Harry asks directly about competing head-on with Carta on cap tables. Avlok dismisses competitor focus, reiterating that startups die of suicide rather than homicide. | |
| The Secrets to AngelList's Speed of Execution | 3 | 4 | 2 | 2 | Harry asks about AngelList's rapid execution speed. Avlok credits hiring dissatisfied, ambitious team members and aggressively cancelling meetings to crush unnecessary process. | |
| Why the Bear Market Doesn't Hurt AngelList's Business Model | 6 | 5 | 4 | 6 | Harry suggests the macro bear market directly damages AngelList's transaction-based business model, which Avlok firmly refutes. During quick fire, Avlok repeatedly declines Harry's attempts to make him short specific venture funds. |