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Building and Growing an AI Startup with Sébastien Night

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Manage episode 472994591 series 2922369
Content provided by Kashif Manzoor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kashif Manzoor or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Welcome to Open Tech Talks. This episode features Sébastien Night, Co-Founder and CEO of OneTake AI. He has a strong background in entrepreneurship, having led the Free Entrepreneur Movement, which reached hundreds of thousands across 41 countries.

Today, it focuses on building an AI product from scratch, validating the idea, managing development, handling challenges with LLMs, and navigating growth and marketing as a tech founder. This is a hands-on conversation for creating, scaling or optimizing AI-powered products.

This episode gives a practical look at how to take an AI product from concept to scale. From validating the idea and building the core system to managing AI challenges and marketing the product effectively, the conversation offers real lessons that apply to any founder or builder. For more structured insights on AI, product growth, and tech leadership, stay tuned to Open Tech Talks.

Episode # 156

Today’s Guest: Sébastien Night, Co-Founder, OneTake AI

He is the CEO of One Take, and Before this, he founded the Free Entrepreneur Movement, which attracted close to 300,000 entrepreneurs in 41 countries.

What Listeners Will Learn:

  • Product Idea Validation: Learn how to test a new product idea with early users and feedback loops before building at scale.
  • Building an AI Product from Scratch: Understand the steps involved in developing a product with a strong AI foundation, from design to execution.
  • Integrating AI into Products: Gain practical insights into how to add AI features to products in a structured and effective way.
  • Challenges with LLM Integration: Learn about the challenges of using large language models, including technical constraints and performance reliability.
  • Marketing as a Tech Founder: Understand the difficulties tech founders often face when managing product and marketing efforts simultaneously.
  • Marketing Metrics and User Acquisition: Explore how marketing success is measured and how product teams track growth, subscriptions, and engagement over time.

Resources:

  continue reading

157 episodes

Artwork
iconShare
 
Manage episode 472994591 series 2922369
Content provided by Kashif Manzoor. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kashif Manzoor or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Welcome to Open Tech Talks. This episode features Sébastien Night, Co-Founder and CEO of OneTake AI. He has a strong background in entrepreneurship, having led the Free Entrepreneur Movement, which reached hundreds of thousands across 41 countries.

Today, it focuses on building an AI product from scratch, validating the idea, managing development, handling challenges with LLMs, and navigating growth and marketing as a tech founder. This is a hands-on conversation for creating, scaling or optimizing AI-powered products.

This episode gives a practical look at how to take an AI product from concept to scale. From validating the idea and building the core system to managing AI challenges and marketing the product effectively, the conversation offers real lessons that apply to any founder or builder. For more structured insights on AI, product growth, and tech leadership, stay tuned to Open Tech Talks.

Episode # 156

Today’s Guest: Sébastien Night, Co-Founder, OneTake AI

He is the CEO of One Take, and Before this, he founded the Free Entrepreneur Movement, which attracted close to 300,000 entrepreneurs in 41 countries.

What Listeners Will Learn:

  • Product Idea Validation: Learn how to test a new product idea with early users and feedback loops before building at scale.
  • Building an AI Product from Scratch: Understand the steps involved in developing a product with a strong AI foundation, from design to execution.
  • Integrating AI into Products: Gain practical insights into how to add AI features to products in a structured and effective way.
  • Challenges with LLM Integration: Learn about the challenges of using large language models, including technical constraints and performance reliability.
  • Marketing as a Tech Founder: Understand the difficulties tech founders often face when managing product and marketing efforts simultaneously.
  • Marketing Metrics and User Acquisition: Explore how marketing success is measured and how product teams track growth, subscriptions, and engagement over time.

Resources:

  continue reading

157 episodes

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