His Video AI app hit $10M+ ARR in Months—with 0 outbound sales. | Michael Lingelbach, Founder of Hedra

A Product Market Fit Show | Startup Podcast for Founders

Hedra CEO Michael Lingelbach breaks down how his generative video app went from zero to millions of users and an eight-figure run rate in months — then deliberately slowed down to rebuild a V2 that enterprises would pay for. We dig into the prosumer-to-pro upsell, why free users are a false signal, and how a creator-seeded launch can outpull ad spend.

Michael shares the GTM that signs enterprise contracts every few days with no outbound, the exact moment he killed feature churn to ship a real workflow, and what to hire (and fire) in the first 10 people. If you’re building AI or any early product, this is a must-listen blueprint on getting from hype to revenue.

Why You Should Listen

• How Hedra hit an 8-figure run rate in months — with a prosumer → enterprise wedge
• The “free user” trap: why signups ≠ demand and how to price for pain
• When to pause growth to build V2 that actually sells (workflow > tech demo)
• A creator-led launch playbook that drives virality without paid influencers
• Hiring early: bring in a talent lead fast, staff for speed, survive co-founder changes

Keywords

AI video, generative AI, product market fit, Hedra, Michael Lingelbach, creator tools, PLG, enterprise SaaS, go to market, startup growth

00:00:00 Intro

00:02:25 Why he built his own proprietary models

00:10:19 Target use cases faceless channels marketers podcasts

00:15:31 Early hiring lessons

00:38:00 Free vs paid

00:51:03 V2 launch and shift to enterprise

00:53:46 Hitting eight figure run rate and scaling GTM

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บท

1. Intro (00:00:00)

2. Why he built his own proprietary models (00:02:25)

3. Target use cases faceless channels marketers podcasts (00:10:19)

4. Early hiring lessons (00:15:31)

5. Free vs paid (00:38:00)

6. V2 launch and shift to enterprise (00:51:03)

7. Hitting eight figure run rate and scaling GTM (00:53:46)