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Peter Reinhardt

09/06/18

@ Y Combinator

Segment discovered that many valuable customers were using S3 buckets to store raw data, leading them to build a direct integration for loading data into data warehouses like Redshift.

Video

Peter Reinhardt on Finding Product Market Fit at Segment

@ Y Combinator

Peter Reinhardt on Finding Product Market Fit at Segment

09/06/18

Related Takeaways

Peter Reinhardt

09/06/18

@ Y Combinator

The launch of the Redshift connector significantly boosted Segment's revenue, demonstrating that sometimes customers don't realize they need a feature until it's presented to them.

Ilya Volodarsky

08/01/19

@ Y Combinator

Once you're confident in your product-market fit, consider implementing a data warehouse like Google BigQuery to democratize data access and enable deeper analytics.

Yotam Segev

05/09/25

@ The Logan Bartlett Show

The first version of our product focused solely on AWS, which allowed us to address a specific urgent problem for many customers.

Peter Reinhardt

09/06/18

@ Y Combinator

While a good portion of Segment's offerings are open source, the majority of value comes from their hosted version, which saves developers time and simplifies complex data operations for business users.

Michael Babineau

05/30/19

@ Y Combinator

The company has built two products: a pipeline for processing raw transactional data and an analytics platform for competitive analysis.

Peter Reinhardt

09/06/18

@ Y Combinator

Segment primarily grows through engineers who bring the product into their companies, often solving complex data pipeline issues.

Peter Reinhardt

09/06/18

@ Y Combinator

The transition from a one-on-one relationship with customers to a more digital interaction model necessitates a new approach to customer data management, which Segment addresses.

Alexandr Wang

11/14/23

@ Accel

We realized that there needed to be an infrastructure platform, like AWS or Stripe, specifically focused on data to power the AI industry.

Nabeel S. Qureshi

05/11/25

@ Lenny's Podcast

The company's success is attributed to its ability to build a powerful data platform that addresses complex customer needs.