A Product Market Fit Show | Startup Podcast for Founders · Mistral.vc

How his AI-enabled Services startup hit $1M ARR in just 3 months. | Shahar Peled, Founder of Terra Security

·53 min·3 clips

Terra hit $1M ARR in a quarter after switching to continuous agentic AI pentesting.

1. A Product Market Fit Show | Startup Podcast for Founders covers Terra Security’s path from a 2024 launch to rapid revenue growth in cybersecurity. 2. Host Pablo speaks with Shahar Peled, founder of Terra Security, about the company’s go-to-market, fundraising, and product-market-fit signals. 3. The episode asks whether Terra can turn manual pentesting into a continuous agentic AI security product that buyers keep paying for. 4. Shahar says he studied data science and business, became CEO of a startup during school, and later built a company from the ground up that raised $5 million and sold. 5. He joined JIT after his wife, a doctor, was assigned to a hospital in the northeast part of Israel, and he led sales, marketing, customer success, operations, business development, and partnerships. 6. Terra came from Shahar’s experience at JIT and from co-founder Gal’s background at BigID, where both saw pentesting as a broken process. 7. He defines penetration testing as ethical hackers trying to mimic adversaries and find exploitable paths into applications, networks, or systems. 8. He says most companies run pentests only once a year or once a quarter on a narrow 7% to 10% of the attack surface. 9. He argues that generative AI increased both software creation and attacker capability, which made the pentesting gap worse. 10. He describes agentic AI as the chance to combine deterministic code with real-time decision-making to scale security testing. 11. Shahar says the problem became more severe, the market became larger, and a scalable solution became possible at the same time. 12. He rejects the idea that a simple “would you buy this” question is enough and instead asks what it will cost a security leader to say yes. 13. He says design partners matter because they spend time, connect a startup to systems, and speak on behalf of broader security buyers. 14. Terra worked with six design partners for around six months before starting to sell around Q2 2025. 15. He says the company’s first real selling phase produced very high conversion rates, including more than 90% from first call to sell cycle at that stage. 16. He says proof-of-value to close is currently above 75% and SQL to close is over 40%, which he treats as product-market-fit signals. 17. The interview is practical and metrics-heavy, with Pablo pushing on conversion rates, design partners, and whether pentesting is just a checkbox. 18. Shahar answers in a detailed, explanatory style that moves between cybersecurity examples, startup lessons, and concrete revenue milestones. 19. Founders selling AI into enterprise security will likely get the most value from this conversation. 20. Listeners wanting abstract AI commentary without cybersecurity detail may skip it.

As heard by us

A sharp look at how real demand shows up before the market says it out loud.

This founder story is really about product market fit, but the cleaner hook is the method: Shahar Peled keeps looking for proof, not polite interest.

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Why you'd press play

If you want the exact questions that separate interest from real demand, start here.

Read the full recommendation in PlayNext →

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