EP 138 - Startups: Hunch with Matan Kleyman
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A proposito di questo titolo
On the show, Matan shares his journey from technical engineering and data science roles to leading product teams and hosting a podcast focused on AI and product management. Now with Hunch, he’s set out to solve a problem many product managers know well: after all the investment in collecting and aggregating data, only a handful of senior data engineers truly know how to use it.
With that problem in mind, Hunch is on a mission to democratize data access, giving product people rapid, autonomous, and approachable ways to get insights, act on their hunches, and unlock value from their company’s data.
Join Matt and Moshe as they explore with Matan:
- The founding story of Hunch and why product managers are at the center of their vision
- How Hunch enables any team member to query data using a ChatGPT-like interface and ready-made templates
- Turning raw insights into dashboards and customizable data apps with no technical background required
- Hunch’s two big differentiators: optimizing for speed and for true autonomy
- Real-world use cases, from engineers and PMs, to data-driven decision-making in action
- How Hunch supports both quantitative (what happened in the product) and qualitative (what should happen next) analysis, including transcript integrations
- Matan’s philosophy on building trust: prioritizing transparency over rigid accuracy and giving users control over context
- Best practices for onboarding, context management, and building knowledge sets in Hunch
- Lessons from building their public roadmap and belief in open, user-driven product development
- The future of product management as a hybrid of visionary leadership and orchestration
- And much more!
Curious to try Hunch or learn more? Connect with Matan:
- LinkedIn: https://www.linkedin.com/in/matankleyman/
- Hunch: https://www.hunch.dev/
- Product for Product Podcast
- Matt Green
- Moshe Mikanovsky
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
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