paurora

Mooncake Labs | Founding Engineers | Full-time | San Francisco (in-person preferred, but optional) | $120k - $200k + equity (0.5% - 2%) | https://mooncake.dev

Hi! I'm Pranav, co-founder of Mooncake Labs (https://mooncake.dev). We're building open-source search and analytics systems on obj-store. We just released our first project: pg_mooncake (https://github.com/Mooncake-Labs/pg_mooncake)a Postgres-Native Data Warehouse that's top 10 on clickbench (https://www.mooncake.dev/blog/clickbench-v0.1).

We’re a small and close-knit team based in SF, have been working together for many years, and love building high-performance systems from first principles. You'll be an early piece of Mooncake and will be a good fit if:

- Love low-level systems (performance engineering, databases, caching, distributed systems) - Are excited in the journey of finding PMF. We are still very 0-> 1. There’s a lot of fun that comes with this journey. - Are a team player.

If this sounds interesting to you, shoot me an email at pranav at mooncakelabs. com.

Mooncake Labs | Founding Engineer | SF / SF Hybrid | https://mooncake.dev/

Mooncake is the simple lakehouse. We're backed by Khosla Ventures and founders of Supabase, Motherduck, Basten.

Role Highlights:

build clean and performant systems with us: 1. own the success of pg_mooncake: https://github.com/Mooncake-Labs/pg_mooncake 2. develop OSS love & community 3. Knowledge of data system internals (c++, rust) 4. autonomous & can own projects to completion

Apply: founders (at) mooncakelabs dot com.

very cool!! We have the same vision with pg_moooncake: https://github.com/Mooncake-Labs/pg_mooncake/tree/main

From what I understand, the BemiDB experience is akin to PeerDB + Clickhouse. It's not really a Postgres extension?

Glad open table formats are becoming mainstream, for everyone.

Used Inkeep in my previous company. A+ team & support.

Nick & Rob are very strong leaders.

A little fun weekend project that a 2 0.5x engineers put together. Used semantic and full-text search entirely with a single SingleStoreDB database (full disclosure I am employee at SingleStore). Built this to understand what we more we need to do at SingleStore to become the database for gen AI apps – currently we have full-text indices and native vector functions.