Chelsea Yang

The pgvector support (mentioned in the docs) is a great addition for teams building RAG applications. Having vector search built into the same Postgres instance as your relational data simplifies a lot of architecture decisions.

As someone working in growth/marketing, this really resonates. Most teams today have tons of performance data (GA, ads dashboards, attribution tools), but very little visibility into brand perception over time. That gap makes it hard to understand whether growth is coming from paid acquisition or actual brand momentum. Timelaps looks like it’s trying to solve that by turning brand tracking into...