May 19, 2021 · 20m · top-founders
Deep Fake Tech Pivoted from $0 Last Year, $24m Raised, CEO teases new round
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
Nathan Latka interviews Gil Perry, CEO of D-ID, exploring how the AI startup pivoted from facial privacy protection to synthetic video creation, generated tens of millions of API calls, and scaled high-value enterprise contracts while raising $24 million in venture capital.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 40% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
Perry pushes back firmly against Latka's dismissal of MyHeritage metrics, insisting that their client's massive app store reach directly validates D-ID's core business and revenue model.
Hardest push from Nathan ▶ 14:50 Latka calls out zero-base growth metricsLatka interrupts Perry's framing of very fast growth from zero, pointing out that growing from nominal dollars is misleading after raising $24M from investors.
Biggest teaching moment ▶ 4:30 Perry explains the API volume model of Deep NostalgiaPerry educates Latka on their hybrid monetization structure, highlighting that beyond base licensing, they processed 80 million API animation calls in two months for MyHeritage.
Nathan holds their own ▶ 13:10 Latka breaks down VC dilution dynamicsLatka asserts his financial expertise, countering Perry's optimism by arguing that taking massive capital without proportional growth severely dilutes founders and reduces them to employees.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Latka Podcast Subscriber Network Announcement | 3 | 1 | 1 | 1 | After the initial subscription promo, Latka introduces Gil Perry and asks for the foundational pitch of D-ID. Perry explains their transition from face recognition privacy to synthetic video generation, and Latka frames the pivot using an ad-blocker analogy. | |
| Pricing Architecture, API Calls, and Deep Nostalgia | 5 | 2 | 3 | 6 | Latka repeatedly presses Perry for standard SaaS contract ACVs while Perry deflects toward API call volume from the Deep Nostalgia viral campaign. Latka pushes back directly, reminding Perry that average is simply total revenue divided by customer count. | |
| Early Traction with BlackRock and Customer Growth | 4 | 2 | 2 | 5 | Perry details landing BlackRock as an initial customer for facial privacy protection. When Latka asks for current customer counts, Perry remains evasive before Latka forces him into a broad bracket of dozens of enterprise accounts. | |
| Founder Origins at Meerkat and Team Composition | 5 | 1 | 2 | 5 | Perry outlines his background at Meerkat/Houseparty and team structure of 24 people. Latka challenges Perry's repeated buzzphrase of growing fast, demanding to know specific headcount metrics and quota-carrying sales rep numbers. | |
| $24M Raised, Capital Allocation, and Dilution Views | 6 | 2 | 4 | 7 | Upon learning D-ID raised $24M, Latka challenges the merit of venture capital, lecturing Perry that fundraising causes dilution and turns founders into employees. Perry defends the fundraising strategy by emphasizing the value of top-tier VC partners over pure dilution concerns. | |
| Dissecting Revenue Trajectory and Platform Adoption | 7 | 3 | 5 | 8 | Latka sharply critiques Perry claiming triple-digit growth from a zero baseline after pivoting. When Perry points to client MyHeritage reaching number one in app stores, Latka cuts in to clarify that client success does not equal company equity or valuation, pressing on whether D-ID has actually passed $1M ARR. | |
| The Famous Five Rapid-Fire Q&A | 2 | 1 | 1 | 1 | Latka leads Perry through the standard rapid-fire Famous Five questions regarding favorite books, CEO influences, sleep habits, and life lessons, closing the interview cordially. |