Episode 46 - Ismail Pelaseyed (Superagent (YC W24))

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Monetizing SaaS

Schematic

49 episodes

2 days ago

Lessons from SaaS operators that built and monetized great products and businesses.

Technology

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Lessons from SaaS operators that built and monetized great products and businesses.

Technology

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Episode 46 - Ismail Pelaseyed (Superagent (YC W24))

Monetizing SaaS

44 minutes 57 seconds

11 months ago

Episode 46 - Ismail Pelaseyed (Superagent (YC W24))

In this conversation, Ismail shares his journey as a multi-time founder, detailing his experiences from his early interest in math and science to his entrepreneurial ventures across various industries. He discusses the challenges and successes he faced while building companies like Key Crunch, Bitcall, Mersenne, and SuperAgent, emphasizing the importance of iteration, feedback, and finding product-market fit. Ismail also reflects on the lessons learned from Y Combinator and the significance of having a loyal co-founder in the startup journey. In this conversation, Ismail discusses the journey of building AI products, focusing on the importance of understanding customer value, effective pricing strategies, and the evolving role of AI in business. He emphasizes the need for flexibility as a founder and the significance of reasoning in AI, suggesting that future pricing models should reflect the value of reasoning rather than traditional metrics. Takeaways - Ismail's journey began with a passion for math and science. - He transitioned from a nonprofit to entrepreneurship after realizing the potential for impact. - Key Crunch was his first successful venture, followed by the less successful Bitcall. - Mersenne evolved from a consultancy to a profitable software development firm. - The importance of loyalty and trust in co-founders is crucial for success. - Super Agent was born from a desire to leverage AI in advertising. - Y Combinator taught him valuable lessons about survival and scaling. - Iterating quickly and seeking feedback is essential for product development. - The speed of learning and adapting has dramatically increased with modern tools. We built three different products while iterating. - Pricing should reflect the value provided to customers. - Finding internal champions is crucial for enterprise sales. - AI is viewed as a means to optimize costs, not just add software. - The promise of AI is to augment human capabilities. - Charging/Pricing for reasoning is a fundamental question for AI founders. - Current pricing models may not be optimal for AI products. Chapters 00:00 The Journey of a Multi-Time Founder 03:00 From Nonprofit to Entrepreneurship 05:51 The Rise and Fall of Key Crunch and Bitcall 09:02 Building Mersenne: A Consultancy Success 12:09 The Birth of Super Agent 15:01 Lessons from Y Combinator 18:13 Navigating the AI Landscape 21:00 The Importance of Iteration and Feedback 24:00 Finding Product-Market Fit 26:52 Real Stories from the Field 36:15 Building and Iterating Products 38:10 Pricing Strategies for AI Products 40:30 The Role of AI in Business Optimization 44:46 Charging for Reasoning in AI 50:30 Flexibility and Adaptability as a Founder #pricingtips #saas #founder #ycombinator