Prequel enables software companies to sync data to their customers' data environments, at massive scale. With the rise of agents, syncing data to customers' data environments is becoming table-stakes for a lot of software companies. We make that incredibly easy for them.
We're a team of four engineers based in NYC. We're cash-flow positive and growing fast. We're solving a number of hard technical problems that come with syncing hundreds of billions of rows of data every day with perfect data integrity: building reliable & scalable infrastructure, making data pipelines manageable without domain expertise, and creating a UX that abstracts out the underlying complexity to let the user share or receive data. We're powering this feature at companies like Stripe (Metronome), Gong, Iterable, and more.
Our stack is primarily Golang/K8s/Postgres/DuckDB/React/Typescript and we support deployments in both our public cloud as well as our customers' clouds. Due to the nature of the product, we work with nearly every data warehouse product and most of the popular RDBMSs.
Agreed, I like `ingest` as well. It does somewhat violate principle d), but the other solutions violate more of those. And to your point, they're principles, not rules.
Prequel | Staff Frontend / Full Stack Engineer / SWE Intern | ONSITE in New York City | Full Time | https://prequel.co
- Prequel is the customer data access platform. We enable SaaS companies like LaunchDarkly, Gong, and LogRocket to make data accessible to their customers.
- Transferring trillions of rows between data stores every month.
- Revenue is up 50% since Jan 1.
- We're launching a new product which is quite frontend heavy, and want to bring a pro onboard who can act as tech lead for it. This is not your standard CRUD app -- a big part of it is building complex SDKs and APIs used by engineers at top-tier companies.
- Frontend in Typescript/React, backend in Go.
- Team is stacked, with alums from Stripe, GIPHY, Google, Flatiron Health, and more.
Prequel enables software companies to sync data to their customers' data environments, at massive scale. With the rise of agents, syncing data to customers' data environments is becoming table-stakes for a lot of software companies. We make that incredibly easy for them.
We're a team of four engineers based in NYC. We're cash-flow positive and growing fast. We're solving a number of hard technical problems that come with syncing hundreds of billions of rows of data every day with perfect data integrity: building reliable & scalable infrastructure, making data pipelines manageable without domain expertise, and creating a UX that abstracts out the underlying complexity to let the user share or receive data. We're powering this feature at companies like Stripe (Metronome), Gong, Iterable, and more.
Our stack is primarily Golang/K8s/Postgres/DuckDB/React/Typescript and we support deployments in both our public cloud as well as our customers' clouds. Due to the nature of the product, we work with nearly every data warehouse product and most of the popular RDBMSs.
Apply here: https://www.ycombinator.com/companies/prequel/jobs/VNoKffl-s... or email jobs (at) prequel.co and reference this post.