It's evidence that gen AI products is incompatible with unlimited plans. To be sustainable, it requires usage limits or usage based pricing
Sequence is reinventing accounts receivable for modern businesses. We're one of the first a16z backed companies in Europe, building an AI first revenue automation platform that enables sales and finance teams to streamline the quoting, billing, invoicing and revenue workflow.
Our tech stack includes Kotlin, TypeScript, React, Postgres, and GCP. We're looking for engineers who enjoy being hands-on, shipping code, and working closely with customers to solve complex financial problems.
Open roles:
* Senior Product Engineer (Backend) | London / NYC (Hybrid) or EMEA (Remote) | £75k-110k + equity
* Product Manager | London / NYC (Hybrid)
It does one thing and it does it well. I built it with a friend and we released the iOS app last year. Currently building the Android app
But title aside, I found this post very useful for better understanding PG reads and writes (under the hood) and how to actually measure your workload
Curious if the tuning actions any different if you're using a non-vanilla storage engine like AWS Aurora or GCP AlloyDB or Neon?