Feb 23, 2026 · 1h 6m · 20vc

Insights from Coatue's Growth Investor Lucas Swisher · 20VC with Harry Stebbings

Lucas Swisher · 42m spoken Harry Stebbings · 16m spoken
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Growth investor Lucas Swisher of Coatue joins host Harry Stebbings on the 20VC podcast to discuss the structural re-valuation of SaaS, Coatue's disciplined growth-stage investment frameworks, and the massive scale of opportunities in the emerging AI-agent economy.

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 27.5% of the talking time here. How this is scored →

Harry as informed peer 5.4 Guest teaching 4.7 Guest disagreement 1.8 Harry pushing back 4.0
05100:0015:0030:0045:001:00:000:50–3:54 · Harry as informed peer 5/10 Welcoming Lucas Swisher and the Hyde Park Connection Harry opens by probing the breakdown of the public-private software boundary amid public SaaS headwinds. Lucas explains how AI coding models challenge the terminal value and annuity assumptions of traditional SaaS.3:54–7:35 · Harry as informed peer 6/10 Evaluating Public Equities vs. Late-Stage Private Rounds Harry challenges late-stage private valuations by contrasting them with cheap public SaaS multiples like Monday at 1.5x revenue. Lucas counters that public markets lack access to frontier AI growth platforms like OpenAI and Anthropic.7:35–10:45 · Harry as informed peer 5/10 Evaluating Revenue Durability and riding multiple S-Curves Harry questions software revenue durability in an era of rapid AI architecture shifts and cites Lovable's mid-deal ARR jump. Lucas uses Databricks as an example of hopping multiple S-curves to sustain long-term value.10:45–12:50 · Harry as informed peer 7/10 The 'Enduring Company' Test and Massive TAM Targets Harry presents a concrete mathematical scenario of a 50M ARR company at a 4.5B valuation to question whether public market multiples can sustain late-stage entry prices. Lucas responds with Coatue's enduring public company test requiring 50B-100B outcome potential.12:50–15:29 · Harry as informed peer 5/10 The Power of Flexible Mandates and Double Down Rounds Harry asks why taking high risk at massive valuations is superior to simpler risk-adjusted returns. Lucas explains flexible growth mandates and the power of double-down rounds in generational platform companies.15:29–17:51 · Harry as informed peer 5/10 Founder Quality vs. Market Size in Generational Outcomes Harry asks whether market size ultimately trumps founder quality in yielding mega outcomes. Lucas agrees that market size comes first because great founders in constrained markets struggle to build 100B enterprises.17:51–20:47 · Harry as informed peer 7/10 Fundraising Litmus Tests: Harry's 3X Target vs. Lucas's Qualitative Check Harry details 20VC's strict rule requiring a 3x valuation markup in the following round based on ARR progression. Lucas offers a softer qualitative check focused on willingness to invest more capital at higher prices if execution holds.20:47–22:50 · Harry as informed peer 5/10 Direct Competitor Investing and the Evolution of TAM Harry points out how major venture firms increasingly invest in direct competitors. Lucas clarifies that while early-stage direct rival bets are counterintuitive, platform growth companies naturally expand into adjacent TAMs over time.22:50–27:02 · Harry as informed peer 6/10 Venture Relevance and the Math of Mega-Funds Harry brings up his viral tweet regarding venture irrelevance and questions if 3B+ mega-funds can generate traditional venture returns. Lucas outlines why 3B early-stage venture funds face severe return math while 5B concentrated growth funds succeed.27:02–29:02 · Harry as informed peer 5/10 Fund Return Math: Overcoming Write-offs with High Outliers Harry asks if a 3x gain on a company like Revolut is sufficient for fund targets. Lucas explains portfolio power-law math where write-offs necessitate 5x-6x return winners to hit a 3x net fund target.29:02–32:37 · Harry as informed peer 4/10 Liquidity Strategies through Private Secondary Markets Harry asks about private secondary liquidity strategies and lessons learned from mistaken double-down investments. Lucas candidly reflects that past errors stemmed from overestimating TAM and multi-product expansion.32:37–35:36 · Harry as informed peer 6/10 AI Inference Costs and Operating Margin Nuance at Scale Harry asks if gross margin still matters when AI inference costs are high due to rapid customer usage. Lucas clarifies that lower initial gross margins in AI are compensated by lower operating expenses, resulting in higher terminal operating margins.35:36–38:59 · Harry as informed peer 6/10 Avoiding Investment Traps: The Legend of 'Vision' and Pre-Revenue Pitfalls Harry forcefully rejects founder 'vision' as overhyped bullshit, pointing out that Google tried to sell early for low millions. Lucas agrees and notes Coatue avoids pre-revenue companies at extreme valuations.38:59–41:39 · Harry as informed peer 5/10 Stage Specialization: Can an Investor do Series A to D? Harry asks if an investor can effectively span from Series A to Series D, citing Thrive Capital as an example. Lucas explains the distinct skill sets required for balance sheet analysis at late stages versus seed pattern recognition.41:39–45:23 · Harry as informed peer 6/10 Foie Gras-ing vs. Capital Scarcity in Early-Stage Tech Harry asks if VCs are foie gras-ing companies with excessive capital and why growth companies should bother going public. Lucas explains that public markets provide unparalleled liquidity at scale and serve as an crucial analytical feedback mechanism.45:23–48:47 · Harry as informed peer 6/10 Canva's Yearbook Origins and the Evolution into AI Platforms Harry challenges Canva's platform defense against generative AI models and Figma's valuation. Lucas defends Canva by highlighting its history of repeatedly hopping S-curves from yearbook software to multi-product AI suite.49:06–51:49 · Harry as informed peer 5/10 Metrics, Margins, and Customer Retention in AI Businesses Harry asks about key takeaways from legendary venture investors. Lucas recounts Mary Meeker's financial modeling rigor and Mamoon Hamid's ability to spot enterprise usage inflection points in early Figma retention data.51:49–56:54 · Harry as informed peer 6/10 Comparing Fund Strategies: Mary Meeker, Mamoon Hamid, and Jeff Horing Harry repeatedly tries to force Lucas into choosing single winning funds and asking whether to put his last dollar in OpenAI or Anthropic. Lucas skillfully breaks down the distinct strategic advantages of both foundation model providers.56:54–59:17 · Harry as informed peer 5/10 Quick Fire: AI Agent Adoption and Labor Displacement in Enterprise In a quick-fire round, Lucas discusses his mindset shift regarding AI outcome sizes and labor displacement. He highlights Anthropic reaching 9B ARR at 800% growth compared to cloud hyperscalers growing 60% at equal scale.59:17–1:01:45 · Harry as informed peer 5/10 Memorable Founder Meetings and Accepting Investment Mistakes Lucas recalls his memorable pitch meeting with Harvey founder Winston and losing the Series A round. Harry notes 20VC's explicit policy to overcome ego and invest in later rounds even after passing on earlier stages.1:01:45–1:04:09 · Harry as informed peer 5/10 The Hardest Career Decision: Stepping Off the Linear Path Lucas discusses leaving Insight for Kleiner as stepping off the linear path. Harry agrees that conventional safe career choices carry understated risks, and they discuss San Francisco talent density and AI compensation.1:04:09–1:06:26 · Harry as informed peer 4/10 The Cost of Myopia: Missing out on Anduril Lucas shares his biggest investment miss in passing on Anduril's $1B round due to myopic focus on traditional SaaS P&L metrics. The episode concludes with shared enthusiasm for upcoming AI consumer hardware devices.0:50–3:54 · Guest teaching 4/10 Welcoming Lucas Swisher and the Hyde Park Connection Harry opens by probing the breakdown of the public-private software boundary amid public SaaS headwinds. Lucas explains how AI coding models challenge the terminal value and annuity assumptions of traditional SaaS.3:54–7:35 · Guest teaching 4/10 Evaluating Public Equities vs. Late-Stage Private Rounds Harry challenges late-stage private valuations by contrasting them with cheap public SaaS multiples like Monday at 1.5x revenue. Lucas counters that public markets lack access to frontier AI growth platforms like OpenAI and Anthropic.7:35–10:45 · Guest teaching 4/10 Evaluating Revenue Durability and riding multiple S-Curves Harry questions software revenue durability in an era of rapid AI architecture shifts and cites Lovable's mid-deal ARR jump. Lucas uses Databricks as an example of hopping multiple S-curves to sustain long-term value.10:45–12:50 · Guest teaching 4/10 The 'Enduring Company' Test and Massive TAM Targets Harry presents a concrete mathematical scenario of a 50M ARR company at a 4.5B valuation to question whether public market multiples can sustain late-stage entry prices. Lucas responds with Coatue's enduring public company test requiring 50B-100B outcome potential.12:50–15:29 · Guest teaching 5/10 The Power of Flexible Mandates and Double Down Rounds Harry asks why taking high risk at massive valuations is superior to simpler risk-adjusted returns. Lucas explains flexible growth mandates and the power of double-down rounds in generational platform companies.15:29–17:51 · Guest teaching 4/10 Founder Quality vs. Market Size in Generational Outcomes Harry asks whether market size ultimately trumps founder quality in yielding mega outcomes. Lucas agrees that market size comes first because great founders in constrained markets struggle to build 100B enterprises.17:51–20:47 · Guest teaching 4/10 Fundraising Litmus Tests: Harry's 3X Target vs. Lucas's Qualitative Check Harry details 20VC's strict rule requiring a 3x valuation markup in the following round based on ARR progression. Lucas offers a softer qualitative check focused on willingness to invest more capital at higher prices if execution holds.20:47–22:50 · Guest teaching 4/10 Direct Competitor Investing and the Evolution of TAM Harry points out how major venture firms increasingly invest in direct competitors. Lucas clarifies that while early-stage direct rival bets are counterintuitive, platform growth companies naturally expand into adjacent TAMs over time.22:50–27:02 · Guest teaching 6/10 Venture Relevance and the Math of Mega-Funds Harry brings up his viral tweet regarding venture irrelevance and questions if 3B+ mega-funds can generate traditional venture returns. Lucas outlines why 3B early-stage venture funds face severe return math while 5B concentrated growth funds succeed.27:02–29:02 · Guest teaching 6/10 Fund Return Math: Overcoming Write-offs with High Outliers Harry asks if a 3x gain on a company like Revolut is sufficient for fund targets. Lucas explains portfolio power-law math where write-offs necessitate 5x-6x return winners to hit a 3x net fund target.29:02–32:37 · Guest teaching 5/10 Liquidity Strategies through Private Secondary Markets Harry asks about private secondary liquidity strategies and lessons learned from mistaken double-down investments. Lucas candidly reflects that past errors stemmed from overestimating TAM and multi-product expansion.32:37–35:36 · Guest teaching 6/10 AI Inference Costs and Operating Margin Nuance at Scale Harry asks if gross margin still matters when AI inference costs are high due to rapid customer usage. Lucas clarifies that lower initial gross margins in AI are compensated by lower operating expenses, resulting in higher terminal operating margins.35:36–38:59 · Guest teaching 4/10 Avoiding Investment Traps: The Legend of 'Vision' and Pre-Revenue Pitfalls Harry forcefully rejects founder 'vision' as overhyped bullshit, pointing out that Google tried to sell early for low millions. Lucas agrees and notes Coatue avoids pre-revenue companies at extreme valuations.38:59–41:39 · Guest teaching 5/10 Stage Specialization: Can an Investor do Series A to D? Harry asks if an investor can effectively span from Series A to Series D, citing Thrive Capital as an example. Lucas explains the distinct skill sets required for balance sheet analysis at late stages versus seed pattern recognition.41:39–45:23 · Guest teaching 5/10 Foie Gras-ing vs. Capital Scarcity in Early-Stage Tech Harry asks if VCs are foie gras-ing companies with excessive capital and why growth companies should bother going public. Lucas explains that public markets provide unparalleled liquidity at scale and serve as an crucial analytical feedback mechanism.45:23–48:47 · Guest teaching 5/10 Canva's Yearbook Origins and the Evolution into AI Platforms Harry challenges Canva's platform defense against generative AI models and Figma's valuation. Lucas defends Canva by highlighting its history of repeatedly hopping S-curves from yearbook software to multi-product AI suite.49:06–51:49 · Guest teaching 6/10 Metrics, Margins, and Customer Retention in AI Businesses Harry asks about key takeaways from legendary venture investors. Lucas recounts Mary Meeker's financial modeling rigor and Mamoon Hamid's ability to spot enterprise usage inflection points in early Figma retention data.51:49–56:54 · Guest teaching 5/10 Comparing Fund Strategies: Mary Meeker, Mamoon Hamid, and Jeff Horing Harry repeatedly tries to force Lucas into choosing single winning funds and asking whether to put his last dollar in OpenAI or Anthropic. Lucas skillfully breaks down the distinct strategic advantages of both foundation model providers.56:54–59:17 · Guest teaching 5/10 Quick Fire: AI Agent Adoption and Labor Displacement in Enterprise In a quick-fire round, Lucas discusses his mindset shift regarding AI outcome sizes and labor displacement. He highlights Anthropic reaching 9B ARR at 800% growth compared to cloud hyperscalers growing 60% at equal scale.59:17–1:01:45 · Guest teaching 4/10 Memorable Founder Meetings and Accepting Investment Mistakes Lucas recalls his memorable pitch meeting with Harvey founder Winston and losing the Series A round. Harry notes 20VC's explicit policy to overcome ego and invest in later rounds even after passing on earlier stages.1:01:45–1:04:09 · Guest teaching 4/10 The Hardest Career Decision: Stepping Off the Linear Path Lucas discusses leaving Insight for Kleiner as stepping off the linear path. Harry agrees that conventional safe career choices carry understated risks, and they discuss San Francisco talent density and AI compensation.1:04:09–1:06:26 · Guest teaching 5/10 The Cost of Myopia: Missing out on Anduril Lucas shares his biggest investment miss in passing on Anduril's $1B round due to myopic focus on traditional SaaS P&L metrics. The episode concludes with shared enthusiasm for upcoming AI consumer hardware devices.0:50–3:54 · Guest disagreement 1/10 Welcoming Lucas Swisher and the Hyde Park Connection Harry opens by probing the breakdown of the public-private software boundary amid public SaaS headwinds. Lucas explains how AI coding models challenge the terminal value and annuity assumptions of traditional SaaS.3:54–7:35 · Guest disagreement 2/10 Evaluating Public Equities vs. Late-Stage Private Rounds Harry challenges late-stage private valuations by contrasting them with cheap public SaaS multiples like Monday at 1.5x revenue. Lucas counters that public markets lack access to frontier AI growth platforms like OpenAI and Anthropic.7:35–10:45 · Guest disagreement 1/10 Evaluating Revenue Durability and riding multiple S-Curves Harry questions software revenue durability in an era of rapid AI architecture shifts and cites Lovable's mid-deal ARR jump. Lucas uses Databricks as an example of hopping multiple S-curves to sustain long-term value.10:45–12:50 · Guest disagreement 2/10 The 'Enduring Company' Test and Massive TAM Targets Harry presents a concrete mathematical scenario of a 50M ARR company at a 4.5B valuation to question whether public market multiples can sustain late-stage entry prices. Lucas responds with Coatue's enduring public company test requiring 50B-100B outcome potential.12:50–15:29 · Guest disagreement 2/10 The Power of Flexible Mandates and Double Down Rounds Harry asks why taking high risk at massive valuations is superior to simpler risk-adjusted returns. Lucas explains flexible growth mandates and the power of double-down rounds in generational platform companies.15:29–17:51 · Guest disagreement 2/10 Founder Quality vs. Market Size in Generational Outcomes Harry asks whether market size ultimately trumps founder quality in yielding mega outcomes. Lucas agrees that market size comes first because great founders in constrained markets struggle to build 100B enterprises.17:51–20:47 · Guest disagreement 3/10 Fundraising Litmus Tests: Harry's 3X Target vs. Lucas's Qualitative Check Harry details 20VC's strict rule requiring a 3x valuation markup in the following round based on ARR progression. Lucas offers a softer qualitative check focused on willingness to invest more capital at higher prices if execution holds.20:47–22:50 · Guest disagreement 2/10 Direct Competitor Investing and the Evolution of TAM Harry points out how major venture firms increasingly invest in direct competitors. Lucas clarifies that while early-stage direct rival bets are counterintuitive, platform growth companies naturally expand into adjacent TAMs over time.22:50–27:02 · Guest disagreement 2/10 Venture Relevance and the Math of Mega-Funds Harry brings up his viral tweet regarding venture irrelevance and questions if 3B+ mega-funds can generate traditional venture returns. Lucas outlines why 3B early-stage venture funds face severe return math while 5B concentrated growth funds succeed.27:02–29:02 · Guest disagreement 2/10 Fund Return Math: Overcoming Write-offs with High Outliers Harry asks if a 3x gain on a company like Revolut is sufficient for fund targets. Lucas explains portfolio power-law math where write-offs necessitate 5x-6x return winners to hit a 3x net fund target.29:02–32:37 · Guest disagreement 1/10 Liquidity Strategies through Private Secondary Markets Harry asks about private secondary liquidity strategies and lessons learned from mistaken double-down investments. Lucas candidly reflects that past errors stemmed from overestimating TAM and multi-product expansion.32:37–35:36 · Guest disagreement 2/10 AI Inference Costs and Operating Margin Nuance at Scale Harry asks if gross margin still matters when AI inference costs are high due to rapid customer usage. Lucas clarifies that lower initial gross margins in AI are compensated by lower operating expenses, resulting in higher terminal operating margins.35:36–38:59 · Guest disagreement 2/10 Avoiding Investment Traps: The Legend of 'Vision' and Pre-Revenue Pitfalls Harry forcefully rejects founder 'vision' as overhyped bullshit, pointing out that Google tried to sell early for low millions. Lucas agrees and notes Coatue avoids pre-revenue companies at extreme valuations.38:59–41:39 · Guest disagreement 2/10 Stage Specialization: Can an Investor do Series A to D? Harry asks if an investor can effectively span from Series A to Series D, citing Thrive Capital as an example. Lucas explains the distinct skill sets required for balance sheet analysis at late stages versus seed pattern recognition.41:39–45:23 · Guest disagreement 2/10 Foie Gras-ing vs. Capital Scarcity in Early-Stage Tech Harry asks if VCs are foie gras-ing companies with excessive capital and why growth companies should bother going public. Lucas explains that public markets provide unparalleled liquidity at scale and serve as an crucial analytical feedback mechanism.45:23–48:47 · Guest disagreement 3/10 Canva's Yearbook Origins and the Evolution into AI Platforms Harry challenges Canva's platform defense against generative AI models and Figma's valuation. Lucas defends Canva by highlighting its history of repeatedly hopping S-curves from yearbook software to multi-product AI suite.49:06–51:49 · Guest disagreement 1/10 Metrics, Margins, and Customer Retention in AI Businesses Harry asks about key takeaways from legendary venture investors. Lucas recounts Mary Meeker's financial modeling rigor and Mamoon Hamid's ability to spot enterprise usage inflection points in early Figma retention data.51:49–56:54 · Guest disagreement 3/10 Comparing Fund Strategies: Mary Meeker, Mamoon Hamid, and Jeff Horing Harry repeatedly tries to force Lucas into choosing single winning funds and asking whether to put his last dollar in OpenAI or Anthropic. Lucas skillfully breaks down the distinct strategic advantages of both foundation model providers.56:54–59:17 · Guest disagreement 1/10 Quick Fire: AI Agent Adoption and Labor Displacement in Enterprise In a quick-fire round, Lucas discusses his mindset shift regarding AI outcome sizes and labor displacement. He highlights Anthropic reaching 9B ARR at 800% growth compared to cloud hyperscalers growing 60% at equal scale.59:17–1:01:45 · Guest disagreement 1/10 Memorable Founder Meetings and Accepting Investment Mistakes Lucas recalls his memorable pitch meeting with Harvey founder Winston and losing the Series A round. Harry notes 20VC's explicit policy to overcome ego and invest in later rounds even after passing on earlier stages.1:01:45–1:04:09 · Guest disagreement 1/10 The Hardest Career Decision: Stepping Off the Linear Path Lucas discusses leaving Insight for Kleiner as stepping off the linear path. Harry agrees that conventional safe career choices carry understated risks, and they discuss San Francisco talent density and AI compensation.1:04:09–1:06:26 · Guest disagreement 1/10 The Cost of Myopia: Missing out on Anduril Lucas shares his biggest investment miss in passing on Anduril's $1B round due to myopic focus on traditional SaaS P&L metrics. The episode concludes with shared enthusiasm for upcoming AI consumer hardware devices.0:50–3:54 · Harry pushing back 2/10 Welcoming Lucas Swisher and the Hyde Park Connection Harry opens by probing the breakdown of the public-private software boundary amid public SaaS headwinds. Lucas explains how AI coding models challenge the terminal value and annuity assumptions of traditional SaaS.3:54–7:35 · Harry pushing back 6/10 Evaluating Public Equities vs. Late-Stage Private Rounds Harry challenges late-stage private valuations by contrasting them with cheap public SaaS multiples like Monday at 1.5x revenue. Lucas counters that public markets lack access to frontier AI growth platforms like OpenAI and Anthropic.7:35–10:45 · Harry pushing back 3/10 Evaluating Revenue Durability and riding multiple S-Curves Harry questions software revenue durability in an era of rapid AI architecture shifts and cites Lovable's mid-deal ARR jump. Lucas uses Databricks as an example of hopping multiple S-curves to sustain long-term value.10:45–12:50 · Harry pushing back 6/10 The 'Enduring Company' Test and Massive TAM Targets Harry presents a concrete mathematical scenario of a 50M ARR company at a 4.5B valuation to question whether public market multiples can sustain late-stage entry prices. Lucas responds with Coatue's enduring public company test requiring 50B-100B outcome potential.12:50–15:29 · Harry pushing back 5/10 The Power of Flexible Mandates and Double Down Rounds Harry asks why taking high risk at massive valuations is superior to simpler risk-adjusted returns. Lucas explains flexible growth mandates and the power of double-down rounds in generational platform companies.15:29–17:51 · Harry pushing back 4/10 Founder Quality vs. Market Size in Generational Outcomes Harry asks whether market size ultimately trumps founder quality in yielding mega outcomes. Lucas agrees that market size comes first because great founders in constrained markets struggle to build 100B enterprises.17:51–20:47 · Harry pushing back 5/10 Fundraising Litmus Tests: Harry's 3X Target vs. Lucas's Qualitative Check Harry details 20VC's strict rule requiring a 3x valuation markup in the following round based on ARR progression. Lucas offers a softer qualitative check focused on willingness to invest more capital at higher prices if execution holds.20:47–22:50 · Harry pushing back 4/10 Direct Competitor Investing and the Evolution of TAM Harry points out how major venture firms increasingly invest in direct competitors. Lucas clarifies that while early-stage direct rival bets are counterintuitive, platform growth companies naturally expand into adjacent TAMs over time.22:50–27:02 · Harry pushing back 4/10 Venture Relevance and the Math of Mega-Funds Harry brings up his viral tweet regarding venture irrelevance and questions if 3B+ mega-funds can generate traditional venture returns. Lucas outlines why 3B early-stage venture funds face severe return math while 5B concentrated growth funds succeed.27:02–29:02 · Harry pushing back 3/10 Fund Return Math: Overcoming Write-offs with High Outliers Harry asks if a 3x gain on a company like Revolut is sufficient for fund targets. Lucas explains portfolio power-law math where write-offs necessitate 5x-6x return winners to hit a 3x net fund target.29:02–32:37 · Harry pushing back 3/10 Liquidity Strategies through Private Secondary Markets Harry asks about private secondary liquidity strategies and lessons learned from mistaken double-down investments. Lucas candidly reflects that past errors stemmed from overestimating TAM and multi-product expansion.32:37–35:36 · Harry pushing back 5/10 AI Inference Costs and Operating Margin Nuance at Scale Harry asks if gross margin still matters when AI inference costs are high due to rapid customer usage. Lucas clarifies that lower initial gross margins in AI are compensated by lower operating expenses, resulting in higher terminal operating margins.35:36–38:59 · Harry pushing back 6/10 Avoiding Investment Traps: The Legend of 'Vision' and Pre-Revenue Pitfalls Harry forcefully rejects founder 'vision' as overhyped bullshit, pointing out that Google tried to sell early for low millions. Lucas agrees and notes Coatue avoids pre-revenue companies at extreme valuations.38:59–41:39 · Harry pushing back 4/10 Stage Specialization: Can an Investor do Series A to D? Harry asks if an investor can effectively span from Series A to Series D, citing Thrive Capital as an example. Lucas explains the distinct skill sets required for balance sheet analysis at late stages versus seed pattern recognition.41:39–45:23 · Harry pushing back 5/10 Foie Gras-ing vs. Capital Scarcity in Early-Stage Tech Harry asks if VCs are foie gras-ing companies with excessive capital and why growth companies should bother going public. Lucas explains that public markets provide unparalleled liquidity at scale and serve as an crucial analytical feedback mechanism.45:23–48:47 · Harry pushing back 6/10 Canva's Yearbook Origins and the Evolution into AI Platforms Harry challenges Canva's platform defense against generative AI models and Figma's valuation. Lucas defends Canva by highlighting its history of repeatedly hopping S-curves from yearbook software to multi-product AI suite.49:06–51:49 · Harry pushing back 2/10 Metrics, Margins, and Customer Retention in AI Businesses Harry asks about key takeaways from legendary venture investors. Lucas recounts Mary Meeker's financial modeling rigor and Mamoon Hamid's ability to spot enterprise usage inflection points in early Figma retention data.51:49–56:54 · Harry pushing back 5/10 Comparing Fund Strategies: Mary Meeker, Mamoon Hamid, and Jeff Horing Harry repeatedly tries to force Lucas into choosing single winning funds and asking whether to put his last dollar in OpenAI or Anthropic. Lucas skillfully breaks down the distinct strategic advantages of both foundation model providers.56:54–59:17 · Harry pushing back 2/10 Quick Fire: AI Agent Adoption and Labor Displacement in Enterprise In a quick-fire round, Lucas discusses his mindset shift regarding AI outcome sizes and labor displacement. He highlights Anthropic reaching 9B ARR at 800% growth compared to cloud hyperscalers growing 60% at equal scale.59:17–1:01:45 · Harry pushing back 3/10 Memorable Founder Meetings and Accepting Investment Mistakes Lucas recalls his memorable pitch meeting with Harvey founder Winston and losing the Series A round. Harry notes 20VC's explicit policy to overcome ego and invest in later rounds even after passing on earlier stages.1:01:45–1:04:09 · Harry pushing back 2/10 The Hardest Career Decision: Stepping Off the Linear Path Lucas discusses leaving Insight for Kleiner as stepping off the linear path. Harry agrees that conventional safe career choices carry understated risks, and they discuss San Francisco talent density and AI compensation.1:04:09–1:06:26 · Harry pushing back 2/10 The Cost of Myopia: Missing out on Anduril Lucas shares his biggest investment miss in passing on Anduril's $1B round due to myopic focus on traditional SaaS P&L metrics. The episode concludes with shared enthusiasm for upcoming AI consumer hardware devices.

speaking balance: gold is Harry, purple is the guest (3 minute bins)

0:00 · Harry 41.5% · guest 58.5%0:00 · Harry 41.5% · guest 58.5%3:00 · Harry 27% · guest 73%3:00 · Harry 27% · guest 73%6:00 · Harry 27.4% · guest 72.6%6:00 · Harry 27.4% · guest 72.6%9:00 · Harry 43.7% · guest 56.3%9:00 · Harry 43.7% · guest 56.3%12:00 · Harry 24.6% · guest 75.4%12:00 · Harry 24.6% · guest 75.4%15:00 · Harry 25.5% · guest 74.5%15:00 · Harry 25.5% · guest 74.5%18:00 · Harry 45.3% · guest 54.7%18:00 · Harry 45.3% · guest 54.7%21:00 · Harry 36.7% · guest 63.3%21:00 · Harry 36.7% · guest 63.3%24:00 · Harry 9.4% · guest 90.6%24:00 · Harry 9.4% · guest 90.6%27:00 · Harry 28.6% · guest 71.4%27:00 · Harry 28.6% · guest 71.4%30:00 · Harry 30.6% · guest 69.4%30:00 · Harry 30.6% · guest 69.4%33:00 · Harry 21.6% · guest 78.4%33:00 · Harry 21.6% · guest 78.4%36:00 · Harry 26.3% · guest 73.7%36:00 · Harry 26.3% · guest 73.7%39:00 · Harry 33.8% · guest 66.2%39:00 · Harry 33.8% · guest 66.2%42:00 · Harry 12.5% · guest 87.5%42:00 · Harry 12.5% · guest 87.5%45:00 · Harry 26.2% · guest 73.8%45:00 · Harry 26.2% · guest 73.8%48:00 · Harry 7.4% · guest 92.6%48:00 · Harry 7.4% · guest 92.6%51:00 · Harry 30.8% · guest 69.2%51:00 · Harry 30.8% · guest 69.2%54:00 · Harry 21.5% · guest 78.5%54:00 · Harry 21.5% · guest 78.5%57:00 · Harry 22.4% · guest 77.6%57:00 · Harry 22.4% · guest 77.6%1:00:00 · Harry 31.7% · guest 68.3%1:00:00 · Harry 31.7% · guest 68.3%1:03:00 · Harry 21.7% · guest 78.3%1:03:00 · Harry 21.7% · guest 78.3%1:06:00 · Harry 80.1% · guest 19.9%1:06:00 · Harry 80.1% · guest 19.9%
Sharpest disagreement ▶ 40:30 Direct premise rejection on kingmaking

Lucas explicitly dismisses Harry's premise that tier-one investor consensus creates kingmaking, flatly stating that the kingmaking concept is not a real thing.

Hardest push from Harry ▶ 4:03 Direct pushback on private valuation premiums

Harry directly challenges late-stage private round pricing by contrasting them with public SaaS companies like Monday trading at 1.5x revenue and Wix at 2.5x revenue.

Biggest teaching moment ▶ 23:45 Mathematical breakdown of fund scaling limits

Lucas educates Harry on the mathematical divergence between 3B early-stage venture funds, where ownership capture fails, versus 5B growth funds focused on concentrated check deployment.

Harry holds his own ▶ 17:51 Demonstrating 20VC's quantitative deal discipline

Harry showcases deep operational venture expertise by detailing 20VC's exact 3x markup threshold tied to specific ARR growth trajectories and round pricing.

the scores for every segment, with the reasoning behind each
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
Welcoming Lucas Swisher and the Hyde Park Connection 5412 Harry opens by probing the breakdown of the public-private software boundary amid public SaaS headwinds. Lucas explains how AI coding models challenge the terminal value and annuity assumptions of traditional SaaS.
Evaluating Public Equities vs. Late-Stage Private Rounds 6426 Harry challenges late-stage private valuations by contrasting them with cheap public SaaS multiples like Monday at 1.5x revenue. Lucas counters that public markets lack access to frontier AI growth platforms like OpenAI and Anthropic.
Evaluating Revenue Durability and riding multiple S-Curves 5413 Harry questions software revenue durability in an era of rapid AI architecture shifts and cites Lovable's mid-deal ARR jump. Lucas uses Databricks as an example of hopping multiple S-curves to sustain long-term value.
The 'Enduring Company' Test and Massive TAM Targets 7426 Harry presents a concrete mathematical scenario of a 50M ARR company at a 4.5B valuation to question whether public market multiples can sustain late-stage entry prices. Lucas responds with Coatue's enduring public company test requiring 50B-100B outcome potential.
The Power of Flexible Mandates and Double Down Rounds 5525 Harry asks why taking high risk at massive valuations is superior to simpler risk-adjusted returns. Lucas explains flexible growth mandates and the power of double-down rounds in generational platform companies.
Founder Quality vs. Market Size in Generational Outcomes 5424 Harry asks whether market size ultimately trumps founder quality in yielding mega outcomes. Lucas agrees that market size comes first because great founders in constrained markets struggle to build 100B enterprises.
Fundraising Litmus Tests: Harry's 3X Target vs. Lucas's Qualitative Check 7435 Harry details 20VC's strict rule requiring a 3x valuation markup in the following round based on ARR progression. Lucas offers a softer qualitative check focused on willingness to invest more capital at higher prices if execution holds.
Direct Competitor Investing and the Evolution of TAM 5424 Harry points out how major venture firms increasingly invest in direct competitors. Lucas clarifies that while early-stage direct rival bets are counterintuitive, platform growth companies naturally expand into adjacent TAMs over time.
Venture Relevance and the Math of Mega-Funds 6624 Harry brings up his viral tweet regarding venture irrelevance and questions if 3B+ mega-funds can generate traditional venture returns. Lucas outlines why 3B early-stage venture funds face severe return math while 5B concentrated growth funds succeed.
Fund Return Math: Overcoming Write-offs with High Outliers 5623 Harry asks if a 3x gain on a company like Revolut is sufficient for fund targets. Lucas explains portfolio power-law math where write-offs necessitate 5x-6x return winners to hit a 3x net fund target.
Liquidity Strategies through Private Secondary Markets 4513 Harry asks about private secondary liquidity strategies and lessons learned from mistaken double-down investments. Lucas candidly reflects that past errors stemmed from overestimating TAM and multi-product expansion.
AI Inference Costs and Operating Margin Nuance at Scale 6625 Harry asks if gross margin still matters when AI inference costs are high due to rapid customer usage. Lucas clarifies that lower initial gross margins in AI are compensated by lower operating expenses, resulting in higher terminal operating margins.
Avoiding Investment Traps: The Legend of 'Vision' and Pre-Revenue Pitfalls 6426 Harry forcefully rejects founder 'vision' as overhyped bullshit, pointing out that Google tried to sell early for low millions. Lucas agrees and notes Coatue avoids pre-revenue companies at extreme valuations.
Stage Specialization: Can an Investor do Series A to D? 5524 Harry asks if an investor can effectively span from Series A to Series D, citing Thrive Capital as an example. Lucas explains the distinct skill sets required for balance sheet analysis at late stages versus seed pattern recognition.
Foie Gras-ing vs. Capital Scarcity in Early-Stage Tech 6525 Harry asks if VCs are foie gras-ing companies with excessive capital and why growth companies should bother going public. Lucas explains that public markets provide unparalleled liquidity at scale and serve as an crucial analytical feedback mechanism.
Canva's Yearbook Origins and the Evolution into AI Platforms 6536 Harry challenges Canva's platform defense against generative AI models and Figma's valuation. Lucas defends Canva by highlighting its history of repeatedly hopping S-curves from yearbook software to multi-product AI suite.
Metrics, Margins, and Customer Retention in AI Businesses 5612 Harry asks about key takeaways from legendary venture investors. Lucas recounts Mary Meeker's financial modeling rigor and Mamoon Hamid's ability to spot enterprise usage inflection points in early Figma retention data.
Comparing Fund Strategies: Mary Meeker, Mamoon Hamid, and Jeff Horing 6535 Harry repeatedly tries to force Lucas into choosing single winning funds and asking whether to put his last dollar in OpenAI or Anthropic. Lucas skillfully breaks down the distinct strategic advantages of both foundation model providers.
Quick Fire: AI Agent Adoption and Labor Displacement in Enterprise 5512 In a quick-fire round, Lucas discusses his mindset shift regarding AI outcome sizes and labor displacement. He highlights Anthropic reaching 9B ARR at 800% growth compared to cloud hyperscalers growing 60% at equal scale.
Memorable Founder Meetings and Accepting Investment Mistakes 5413 Lucas recalls his memorable pitch meeting with Harvey founder Winston and losing the Series A round. Harry notes 20VC's explicit policy to overcome ego and invest in later rounds even after passing on earlier stages.
The Hardest Career Decision: Stepping Off the Linear Path 5412 Lucas discusses leaving Insight for Kleiner as stepping off the linear path. Harry agrees that conventional safe career choices carry understated risks, and they discuss San Francisco talent density and AI compensation.
The Cost of Myopia: Missing out on Anduril 4512 Lucas shares his biggest investment miss in passing on Anduril's $1B round due to myopic focus on traditional SaaS P&L metrics. The episode concludes with shared enthusiasm for upcoming AI consumer hardware devices.

Statements from this episode (59)

Insight
Lucas Swisher: Early Margin Can Mislead Growth Investors
“Margin matters, but early, it can be a misleading indicator.”
Lucas Swisher Feb 23, 2026 ▶ 34:03
Insight
Lucas Swisher: Data Is a Prerequisite, Not the Ultimate Moat
“Data is a prerequisite. It is not the answer.”
Lucas Swisher Feb 23, 2026 ▶ 48:53
Insight
Swisher: AI models disrupt public market belief in SaaS terminal value
“For the first time ever with this AI wave, people are questioning the terminal value of SaaS, right? These were supposed to be like insurance companies, you know, annuity streams that just have revenue streams and profit pools forever and ever and ever. And fo…”
Lucas Swisher Feb 23, 2026 ▶ 1:23
Insight
Swisher: Sequential Revenue and Retention Dynamics Are Key Software Indicators
“I think the things that you're going to want to look for, the leading indicators that you're going to want to look for are, is the revenue still continuing to grow sequentially? Is net new AR still continuing to climb? What's happening with the retention dynam…”
Lucas Swisher Feb 23, 2026 ▶ 3:19
Prediction Not checkable as stated
Swisher: AI's impact on software earnings remains dark for 3-9 months
“For the next three months, six months, nine months, we're not really going to know what's really happening in the world, right? Because things are happening so fast, and all of the earnings that happen are retroactive. Right? So you can only see into the past …”
Lucas Swisher Feb 23, 2026 ▶ 3:38
Insight
Swisher: The most expensive private tech deals often yield top returns
“Oftentimes the most expensive deals can be the best ones in many ways.”
Lucas Swisher Feb 23, 2026 ▶ 4:43
Insight
Swisher: Investors must hold private market assets to access >30% growth
“And so to get growth, Something that's growing more than 30%, to get durability of that growth, to get access to the future, you have to own privates.”
Lucas Swisher Feb 23, 2026 ▶ 5:34
What-if
Swisher: 18 of today's top 20 private platform companies would have been public a decade ago
“At the top, call it 20, rough just as 20 companies in the private markets. 18 of those would probably be public today, a decade ago.”
Lucas Swisher Feb 23, 2026 ▶ 6:11
Insight
Swisher: Investors Should Target Continuous Reinvention Over Simple Revenue Growth
“And I think it's not revenue growth that you want to chase. It's that.”
Lucas Swisher Feb 23, 2026 ▶ 9:19
Disclosure
Stebbings: Lovable's ARR jumped from $3M to $20M during Series A legals
“When we did Lovables A, it was like at three million in revenue. By the time the legals were done, it was at 20. And so the multiple had gone from 70 x to 10 x.”
Harry Stebbings Feb 23, 2026 ▶ 9:39
Disclosure
Swisher: Coatue evaluates valuation last for hyper-growth companies
“The framework that we use internally is we think about valuation. Everybody has to think about valuation, but when a company is growing exponentially, 10 X year and year, 50 X year and year, right? The things that we're seeing now, We think about valuation las…”
Lucas Swisher Feb 23, 2026 ▶ 10:06
Disclosure
Swisher: Coatue raised its public market cap target to $50B-$100B
“We have this test internally, right? Where it used to be, five years ago, we called it the ten billion dollar public company test. Can this be a ten billion dollar plus public company? That bar has changed, right, in this new world because we are tackling much…”
Lucas Swisher Feb 23, 2026 ▶ 11:51
Insight
Swisher: Justifying a $5B valuation requires a path to $5B revenue and $50B TAM
“You need to believe that someday you can get to five billion of revenue with 30% margin minimum growing really fast. So what does that mean? I better believe there's fifty billion of revenue to go get.”
Lucas Swisher Feb 23, 2026 ▶ 12:33
Insight
Swisher: Initial growth rounds matter because they secure follow-on investment access
“One thing that Jeff Horing from Insight always says is the, you know, the best round is the double down round. And so by getting access to that company at a certain stage, if I think it has a shot at being a hundred billion dollar company, that round may not a…”
Lucas Swisher Feb 23, 2026 ▶ 13:56
Assertion Not publicly verifiable
Swisher: Probability of 10x returns increases in higher valuation bands
“And the counterintuitive thing is as you go up those bands, the percentage increases. So from a 10 to a hundred billion dollar valuation, I have a better shot at picking a 10 X, not like a better return, a 10 X than I did in the prior band.”
Lucas Swisher Feb 23, 2026 ▶ 15:13
Insight
Swisher: Market size ranks above founder quality for $100B outcomes
“And I think that founder is tied to the market, you know, is tied to that market dynamic, and they're equally important, but market size is always first. A great founder in a small market with a wedge that is not easily able to expand, I think will build an in…”
Lucas Swisher Feb 23, 2026 ▶ 16:16
Insight
Swisher: Entry Price Matters in Growth Investing, But It Matters Least
“Ultimately, price always does matter, right? I think some folks will say, ah, price doesn't matter. I think price does matter, but I think it matters least.”
Lucas Swisher Feb 23, 2026 ▶ 17:08
Insight
Swisher: It Is Almost Never Too Late to Invest in Generational Companies
“And I do think you want to think about it last because, again, these generational companies, it's almost never too late for them, right?”
Lucas Swisher Feb 23, 2026 ▶ 17:45
Insight
Stebbings: Entry price test requires 3x valuation markup by next round
“When we think about our entry price, do we think that we are able to three X that entry price within the next fundraising round?”
Harry Stebbings Feb 23, 2026 ▶ 18:01
Insight
Swisher: Coatue's growth test is wanting to re-invest at higher valuations
“I think the more simplistic way that we think about it, and again, this is not a hard and fast rule and it's more qualitative than anything is if I invest in this round of this price and the company executes, do I want to put more at a higher price? That's the…”
Lucas Swisher Feb 23, 2026 ▶ 18:41
Assertion Contradicted
Swisher: 20 private companies generate 80% of global enterprise value
“If you look at the private markets today, take the whole private market ecosystem, 20 companies have generated 80% of the enterprise value. 20 companies, 80% of the enterprise value. Of all the private companies that exist in the world. And four companies, rig…”
Lucas Swisher Feb 23, 2026 ▶ 19:49
Insight
Swisher: Growth VCs Cannot Afford 'Spray and Pray' Capital Allocation
“And the answer is, from our view, you can't do this prey and prey at the early stage or the early growth stage. The reason why is you may be in the wrong horse, or you may be in the wrong market, and you may be investing your time wrong. Because there are very…”
Lucas Swisher Feb 23, 2026 ▶ 20:25
Disclosure
Swisher: Coatue was the only private investor in both Snowflake and Databricks
“I think we were the only private investor that was Invested in Snowflake and Databricks when they were both private.”
Lucas Swisher Feb 23, 2026 ▶ 22:26
Insight
Swisher: Deploying a $3B early-stage venture fund is exceptionally difficult
“If you are a venture fund that is staring down the barrel of having to deploy three billion dollars, I think that is hard because again, at the early stage, it is hard to capture disproportionate ownership in the few companies that actually generate all of tha…”
Lucas Swisher Feb 23, 2026 ▶ 24:11
Insight
Swisher: Small venture funds don't need SpaceX-level outliers to succeed
“If you're a small, if a small venture fund, I think it's super possible in today's world. You don't actually have to be in, you don't have to catch the seed of SpaceX. You'd really like to because those are the only, the platform companies generate liquidity. …”
Lucas Swisher Feb 23, 2026 ▶ 24:26
Prediction Not checkable as stated
Swisher: AI replacing human labor will yield larger outcomes than SaaS
“But in an AI world, if we actually think that we're augmenting labor, if we think that we can address A lot of these really big markets, if you move from human inputs to tokens, Then you're gonna have much bigger outcomes, and the math works.”
Lucas Swisher Feb 23, 2026 ▶ 26:01
Opinion
Swisher: Mega funds should avoid vertical SaaS in favor of platform companies
“In today's world, if you have a big fund, I don't think that's where you should be focused. I think you should be focused on the absolute mega outcomes, the platform companies that are going to generate that disproportionate return, and you're actually going t…”
Lucas Swisher Feb 23, 2026 ▶ 26:49
Assertion Supported
Swisher: 3x net return or 25% net IRR defines top-quartile fund performance
“I think is sort of the baseline for what people would say is like a top quartile return and people get really excited about three X net return for a fund, you know, 25% net IRR, something around those bands.”
Lucas Swisher Feb 23, 2026 ▶ 27:32
Insight
Swisher: Private growth deals must pass Coatue's public-market investor scrutiny
“And so every investment I make, that is the rigor and the framework that I use is, someday, is my public counterpart going to want to own this stock over everything else in their book?”
Lucas Swisher Feb 23, 2026 ▶ 28:51
Insight
Swisher: Only top-tier private companies can access secondary or public liquidity
“And again, I think it's why, even if you're an early stage fund, you, this is a great style of investing and it's the type of company that you want to be in because it's the only type of company that can get access to liquidity, whether it's private or public.”
Lucas Swisher Feb 23, 2026 ▶ 29:42
Disclosure
Swisher: Coatue's investment failures stem from overestimating TAM, not poor execution
“We've just overestimated TAM and we've overestimated the ability for companies to launch multiple products and expand into new TAMs. We're usually not getting things wrong on the basis of metrics or the team being good or it wasn't growing fast enough.”
Lucas Swisher Feb 23, 2026 ▶ 30:09
Opinion
Swisher: Traditional 'triple, triple, double, double' SaaS companies remain great businesses
“There's this notion that like the triple, triple, triple, double, double, double is dead and these companies suck and all this stuff. I don't think that's true. There are great companies. You can drive real margin from them. They make incredible businesses.”
Lucas Swisher Feb 23, 2026 ▶ 31:41
Insight
Swisher: Winning modern software products grow far faster than traditional SaaS
“Now we exist in a world where if you have a product that the market likes, it is going to absolutely yank you into that market, right? It's not going to triple at the earliest stages. It is going to scream, right?”
Lucas Swisher Feb 23, 2026 ▶ 32:05
Assertion Supported
Swisher: Investors passed on Snowflake and Databricks early rounds over low margins
“Snowflake and Databricks. Very low margin early. A lot of people passed on those early rounds because they're, ah, in SaaS, you have to have 80% gross margin.”
Lucas Swisher Feb 23, 2026 ▶ 33:48
Opinion
Swisher: AI companies have structurally lower gross margins than traditional SaaS
“These companies are structurally lower margin than the last generation because you pay the cloud and you pay the LLM.”
Lucas Swisher Feb 23, 2026 ▶ 34:48
Insight
Swisher: AI startups will have lower gross margins but higher operating margins
“Your terminal operating margin may actually be higher in this world than the last world. Your gross margin might be lower, but your operating margin, which is ultimately at the end of the day is really what matters, may end up being higher.”
Lucas Swisher Feb 23, 2026 ▶ 35:24
Disclosure
Swisher: Coatue avoids high-valuation pre-revenue startups without products
“I think this is a lesson that at least we've taken about ourselves from 2021 is that is not our business. The pre revenue company at a really high valuation with no product is not our business.”
Lucas Swisher Feb 23, 2026 ▶ 36:22
Disclosure
Stebbings: 20VC lost seed deal to mega fund's $100M valuation offer
“We lost a deal recently to a large mega fund, and we did three on 15, and they did 10 on a hundred with no lick pref pre-anything.”
Harry Stebbings Feb 23, 2026 ▶ 37:24
Insight
Swisher: Capital-intensive AI startups create stronger long-term durability
“In this world, businesses tend to be more capital intensive, right? They may be actually more durable at scale because of this. Makes it harder for the next entrant to come in. But the reality is they're harder to start. They take more capital. And that has le…”
Lucas Swisher Feb 23, 2026 ▶ 38:31
Opinion
Stebbings: Josh Kushner Proved Multi-Stage Venture Capital Investing Works
“I think Josh, who's a dear friend at Thrive, has proved that actually that's not the case, but other people still very much hold that true.”
Harry Stebbings Feb 23, 2026 ▶ 39:08
Insight
Swisher: Multi-Stage VC Is Hard Due to Differing Scale Frameworks
“I don't think it's impossible, but I do think it is very hard. And I think that's because the type of frameworks that you use, the types of things that you see are very different at different scales.”
Lucas Swisher Feb 23, 2026 ▶ 39:16
Insight
Swisher: Public and Private Investing Require Fundamentally Different Skill Sets
“I actually think the public market skill set and the private market skill set is also different, and so having different folks that are focused on different things is really important because there are different parameters, different things that you see all da…”
Lucas Swisher Feb 23, 2026 ▶ 39:49
Opinion
Swisher: Kingmaking in venture capital is not real
“I don't think the king, the kingmaking concept is a real thing. I think companies some companies attract more capital early. Some companies slingshot from behind, right? Having had somewhat less capital.”
Lucas Swisher Feb 23, 2026 ▶ 40:31
Insight
Swisher: Large capital reserves without product-market fit disadvantage startups
“If you have so much capital and not a lot of product market fit, I'd say you probably had a disadvantage. If you have a lot of capital and insane product market fit that allows you to go hire a huge sales force, that's a huge advantage, right?”
Lucas Swisher Feb 23, 2026 ▶ 41:08
Assertion Not checkable as stated
Swisher: Rapid growth-stage venture funding is backed by real ROIC
“For the companies that are explosively growing at the growth stage and have real product market fit, real product, real traction, I don't think so, right? You look at these companies that raise really rapid rounds in succession at the growth stage that actuall…”
Lucas Swisher Feb 23, 2026 ▶ 42:10
Insight
Swisher: Capital scarcity breeds better early-stage startups than overfunding
“Sometimes I think when growth funds in particular chase venture companies, right? We've talked about that delineation point. That's where I think it can get quite dangerous. It can make companies complacent. It can make companies spend too much on things that …”
Lucas Swisher Feb 23, 2026 ▶ 42:36
Insight
Swisher: Distilling complex companies simply in Excel is an essential skill
“Being able to express a company in a few, a complex company in a few lines in Excel and tell stories with data is like an incredible skill.”
Lucas Swisher Feb 23, 2026 ▶ 48:19
Insight
Swisher: Low-margin AI startups require extremely high customer retention
“The thing that I'm looking at the most with a lot of these kind of AI native businesses is, if you're low margin, I need you to have high retention. You have to have it. Because if you leave no margin for error if that's not true, right? I need, if you're gonn…”
Lucas Swisher Feb 23, 2026 ▶ 49:33
Opinion
Swisher: Mamoon Hamid was the best Series A SaaS investor
“I think the thing, the gift that Mamoon hasn't, I think from the SaaS era, Mamoon, my view is he was the best Series A investor in the SaaS era, period.”
Lucas Swisher Feb 23, 2026 ▶ 50:17
Opinion
Swisher compares investing styles of Mamoon Hamid, Mary Meeker, and Jeff Horing
“Mamoon, I think is going to have an incredibly high slugging average, really amazing returns, but it's going to be more risk. Mary, I think you are going to get, like, this incredible growth portfolio of blue chip names, and then whoring is going to provide yo…”
Lucas Swisher Feb 23, 2026 ▶ 52:28
Opinion
Swisher: Founders Fund's ultra-concentrated strategy has proven incredible over time
“I think Founders Fund's strategy of being ultra concentrated in a few companies has just been this incredible strategy over time.”
Lucas Swisher Feb 23, 2026 ▶ 53:16
Opinion
Swisher: Pat Grady's ability to win Series B deals is unmatched
“And I think Pat Grady's ability to pick Series B's is like pretty unmatched. Pick and win Series Bs. He's very, very good, and I think Sequoia is very good at that.”
Lucas Swisher Feb 23, 2026 ▶ 53:25
Opinion
Swisher: Anthropic's coding focus enabled its enterprise AI beachhead
“The bull case on Anthropic is really simple and really straightforward. Their focus on coding has been an unbelievable advantage for them because coding is the first use case in AI that's really taken off. That code, that coding focus has led them to have a be…”
Lucas Swisher Feb 23, 2026 ▶ 55:03
Opinion
Swisher: Anthropic's multi-cloud, multi-chip strategy gives unappreciated optionality
“In the last strategic decision that they made that I think is really Sort of unappreciated by the market is they built for every cloud and they built for every chip platform, and that gives them incredible optionality and a lot of people want them to win.”
Lucas Swisher Feb 23, 2026 ▶ 55:27
Assertion Supported
Swisher: Anthropic reached $9B ARR while growing 800%
“If you look at Anthropic, right, publicly available numbers, nine billion of ARR growing 800%.”
Lucas Swisher Feb 23, 2026 ▶ 58:20
Assertion Supported
Swisher: Cloud hyperscalers averaged 60% growth at $9B ARR scale
“At the same scale, the three hyperscalers on average, when they were nine billion of ARR, were growing 60%.”
Lucas Swisher Feb 23, 2026 ▶ 58:27
Disclosure
Swisher: Coatue lost the Series A investment round for Harvey
“We had an early stage practice at the time that we were really involved with, and we did lose the A.”
Lucas Swisher Feb 23, 2026 ▶ 1:00:04
Opinion
Swisher: $100M to $500M compensation packages for top AI talent are justified
“Yes.”
Lucas Swisher Feb 23, 2026 ▶ 1:04:03
Prediction Not checkable as stated
Swisher: OpenAI's upcoming device will be the first exciting hardware in years
“Like I cannot wait for open AI's new device. Like we've, it, it's going to be one of the first exciting new devices in some time.”
Lucas Swisher Feb 23, 2026 ▶ 1:05:42

Shorts cut from this episode

▶ Why a 3x fund return is NOT enough · 20VC with Harry Stebbin (@27:25) ▶ Big Funds Shouldn't Focus on Vertical SaaS · 20VC with Harry (@26:49) ▶ The "kingmaking" concept ISN'T a real thing · 20VC with Harr (@0:10) ▶ Can a $5B Growth Fund Scale and Work? · 20VC with Harry Steb (@24:54) ▶ The Litmus test for Investing · 20VC with Harry Stebbings (@18:47)
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