Niv Oppenhaim: The Future of Agentic Workflows | Subscription Heroes #27
Mon Sep 22 2025
In this episode, Niv Oppenhaim shares how the team built an AI-native GTM platform that runs on agentic workflows. He discusses early technical challenges, the bet on rapid LLM progress, and how Swan scaled to 200+ paying customers with just 3 founders. The conversation dives into product moats, team philosophy, future hiring, and what’s next for Swan.
About Niv Oppenhaim:
Niv Oppenhaim is the Co-Founder and CTO of Swan AI, where he leads the development of AI-driven sales automation tools. He focuses on building intelligent autonomous agents that help sales teams engage high-intent leads efficiently. With a strong engineering background, Niv drives innovation by combining AI technology with personalized workflows to scale Swan’s impact with a small core team.
Here is what we cover:
Early Tech Challenges: Personalizing outputs (like emails) for diverse orgs was tough pre-advanced LLMs.
Strategic Bet: Built product assuming LLMs would rapidly improve in cost, speed, and quality.
Core Moat: Swan’s contextual memory system that remembers user/org preferences and applies them intelligently.
Brand Trust: Crucial in a saturated, AI-fatigued market.
Team Structure: Just the 3 founders, supported by AI agents automating ~85% of support.
Agent-First Mindset: Always ask, “Can an agent solve this before hiring or building manually?”
Future Hiring: Focus on community/super-user growth, then engineering—seeking high-agency generalists.
What’s Next: More integrations, broader agent capabilities, and scaling without bloating the team.
Business Culture: Lean, adaptable, AI-native, and tool-friendly.
To lower your churn, visit https://churnkey.co
-------------------------- About Churnkey --------------------------
Churnkey is the retention automation platform that lowers your churn, boosts your MRR, speeds your growth, and launches your enterprise value to the moon. We help companies stop churn at the point of cancellation, recover failed payments, learn why customers are cancelling, and fix it. We don't just provide data. We take action
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In this episode, Niv Oppenhaim shares how the team built an AI-native GTM platform that runs on agentic workflows. He discusses early technical challenges, the bet on rapid LLM progress, and how Swan scaled to 200+ paying customers with just 3 founders. The conversation dives into product moats, team philosophy, future hiring, and what’s next for Swan. About Niv Oppenhaim: Niv Oppenhaim is the Co-Founder and CTO of Swan AI, where he leads the development of AI-driven sales automation tools. He focuses on building intelligent autonomous agents that help sales teams engage high-intent leads efficiently. With a strong engineering background, Niv drives innovation by combining AI technology with personalized workflows to scale Swan’s impact with a small core team. Here is what we cover: Early Tech Challenges: Personalizing outputs (like emails) for diverse orgs was tough pre-advanced LLMs. Strategic Bet: Built product assuming LLMs would rapidly improve in cost, speed, and quality. Core Moat: Swan’s contextual memory system that remembers user/org preferences and applies them intelligently. Brand Trust: Crucial in a saturated, AI-fatigued market. Team Structure: Just the 3 founders, supported by AI agents automating ~85% of support. Agent-First Mindset: Always ask, “Can an agent solve this before hiring or building manually?” Future Hiring: Focus on community/super-user growth, then engineering—seeking high-agency generalists. What’s Next: More integrations, broader agent capabilities, and scaling without bloating the team. Business Culture: Lean, adaptable, AI-native, and tool-friendly. To lower your churn, visit https://churnkey.co -------------------------- About Churnkey -------------------------- Churnkey is the retention automation platform that lowers your churn, boosts your MRR, speeds your growth, and launches your enterprise value to the moon. We help companies stop churn at the point of cancellation, recover failed payments, learn why customers are cancelling, and fix it. We don't just provide data. We take action