Top all-time · #17386
Prequel
Company blog · prequel.co/blog · on HN as nlittlepooledatabusiness
Prequel is the company blog at prequel.co, writing about data and business. Since 2022, 4 different Hacker News readers have linked it 16 times, most often “How fast is Iceberg on Snowflake?”. The last post was in 2022, but the archive is still widely read.
Too few sampled comments (1) to say how often HN recommends it.?
Why HN links it
Linked only as a company's job listing in the 'Who is hiring' thread. The page describes Prequel, an API that syncs B2B data into customers' data warehouses, and is not a blog post.
Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Replicate live data to your customers' data warehouses and sync their warehouse data into your product. Secure, at scale, white-labeled end to end.
Most-linked posts?
- /3 people · 6 mentions · first linked 2023-02-10
- How fast is Iceberg on Snowflake?2 people · 2 mentions · first linked 2024-10-30
What Hacker News says?
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 quit…
Comment linking /
on “Ask HN: Who is hiring? (April 2025)”Submitted Database Drivers: Naughty or Nice? as a story · 10 points
HN discussionPrequel | https://prequel.co | Senior Software Engineer | Full Time | GoLang, Postgres, Typescript, React, K8s | $150k-$180k + equity | ONSITE in NYC Prequel is an API that makes it easy for B2B companies to sync data directly to their customer's data warehouse, on an ongoing basis. We're solving a number of hard technical problems that come with syncing tens of billions of rows of data every day with perfect data i…
Comment linking /
on “Ask HN: Who is hiring? (August 2023)”Submitted SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue as a story · 8 points
HN discussionPrequel | https://prequel.co | Senior/Staff Software Engineer | Full Time | GoLang, Postgres, Typescript, React, K8s | $150k-$200k + equity | ONSITE in NYC Prequel is an API that makes it easy for B2B companies to sync data directly to their customer's data warehouse, on an ongoing basis. We're solving a number of hard technical problems that come with syncing tens of billions of rows of data every day with perfect…
Comment linking /
on “Ask HN: Who is hiring? (December 2023)”Submitted Building table-aware, partition-aware physical replication for Iceberg tables as a story · 7 points
HN discussionWe're big fans of DuckDb at https://prequel.co ! We use it as part of our own dataframe implementation in Go. The speed is unbeatable and the tool is top notch. There are a few rough edges (it's not quite 1.0 level of stability yet), but the team is super reactive and has fixed bugs we've reported in < 48hrs pretty much every time.
Comment linking /
on “DuckDB – in-process SQL OLAP database management system”Submitted Building cross-cloud identity federation in Go for secure data sharing as a story · 6 points
HN discussionPrequel | https://prequel.co | Senior Software Engineer | Full Time | GoLang, Postgres, Typescript, React, K8s | $150k-$180k + equity | ONSITE in NYC Prequel is an API that makes it easy for B2B companies to connect and sync data directly to their customer's data warehouse. We're a small team of five engineers based in NYC. We're solving a number of hard technical problems that come with syncing tens of billions of…
Comment linking /
on “Ask HN: Who is hiring? (September 2023)”Submitted Writing an Immutable Slice in Go as a story · 4 points
HN discussionOpen Table Formats (Iceberg, Delta Lake, Hudi, etc) are the approach we've taken. That let's us offer a query engine but also let's the tenant bring their preferred engine (Snowflake, Spark, DuckDB, etc). It also addresses dirty reads and some other state problems that come from trying to use the file system. It scales as much as the bucket does, so we haven't found a use case we couldn't scale to yet. We ( https://…
Comment linking /
on “We give every user SQL access to a shared ClickHouse cluster”Submitted How fast is Iceberg on Snowflake? as a story · 3 points
HN discussionSubmitted How to get a character from a codepoint in Spark SQL as a story · 2 points
HN discussionSubmitted SQL Maxis: Constructing JSON Objects in Athena Using SQL as a story · 2 points
HN discussionSubmitted Could Open Table Formats End the Reign of Snowflake and Databricks? as a story · 1 points
HN discussionSubmitted How fast is Iceberg on Snowflake? as a story · 1 points
HN discussion