Outerbounds Blog
outerbounds.com · Company blog · on HN since 2022
Blog of Outerbounds, the company behind the Metaflow Python framework, covering ML infrastructure, data loading, LLMs and documentation.
What HN saysHN links it for ML infrastructure and LLM posts, including a sentiment analysis of HN posts; the company also posts hiring threads.
15HN people shared it
4linked it in comments
29stories submitted
238story points
11 months agolast shared
2022people per year2026
Most-shared posts
- 1Optimized Autonomous Inference3 people · 16 points · first shared 2025 · discussion on HN
- 2Fast Data: Loading Tables from S3 at Lightning Speed3 people · 5 points · first shared 2023 · discussion on HN
- 3LLM-based sentiment analysis of Hacker News posts between Jan 2020 and June 20232 people · 136 points · first shared 2024 · 72 comments on HN
- 4Integrating Pythonic visual reports into ML pipelines2 people · 13 points · first shared 2022 · discussion on HN
- 5Testable Technical Documentation with Notebooks, Nbdev, and Docusaurus2 people · 5 points · first shared 2022 · discussion on HN
- 6Retrieval-Augmented Generation: How to Use Your Data to Guide LLMs2 people · 2 points · first shared 2023 · discussion on HN
- 7Workwithus2 people · first shared 2022
- 8Agentic Metaflow1 people · 11 points · first shared 2025 · discussion on HN
- 9Show HN: Learn ML and AI infrastructure in the browser1 people · 8 points · first shared 2023 · discussion on HN
- 10Netflix Notebook Innovation For All: Notebooks in Production with Metaflow1 people · 6 points · first shared 2022 · 1 comments on HN
- 11Show HN: I Wrote a Book, Effective Data Science Infrastructure1 people · 5 points · first shared 2022 · 1 comments on HN
- 12Fireside Chat with Jeremy Howard: Making Large Language Models Uncool Again1 people · 5 points · first shared 2023 · discussion on HN
- 13The Many Ways to Deploy a Model1 people · 5 points · first shared 2024 · discussion on HN
- 14Better Airflow with Metaflow1 people · 5 points · first shared 2023 · discussion on HN
- 15Building Observable ML/AI Systems1 people · 4 points · first shared 2024 · discussion on HN
What HN people wrote when they linked it
vtuulos · 2023-03-01
Outerbounds | Systems / Full-Stack engineer | SF / Remote | Full-time
Outerbounds commercializes Metaflow, a widely used open-source Python framework that makes infrastructure easily accessible for machine learning/data science projects. Metaflow was originally started by us at Netflix and it is now used by hundreds of companies across industries.
We care a lot about thoughtful design, overall product experience, and quality of code. We are looking for backend/full-stack/systems engineers who are experienced in at least one of the following areas: Delightful API design, deep Python experience, distributed systems, Kubernetes, or low-level systems programming.
- Outerbounds: https://outerbounds.com
- Metaflow: https://docs.metaflow.org
- More about us here: https://outerbounds.com/workwithus
- Join our Slack to see the project in action: http://slack.outerbounds.co
- Email: [email protected]
savin-goyal · 2023-02-01
Outerbounds | Systems dev | SF / Remote | Full-time
Outerbounds was founded recently to commercialize Metaflow, an open-source Python framework that makes infrastructure easily accessible for machine learning/data science projects. Metaflow was originally started by us at Netflix and it is now used by hundreds of companies across industries.
We care a lot about thoughtful design, overall product experience, and quality of code. We are looking for backend/systems engineers who are experienced in at least one of the following areas: Delightful API design, deep Python experience, distributed systems, or low-level systems programming.
- Metaflow: https://docs.metaflow.org
- More about us here: https://outerbounds.com/workwithus
- Join our Slack to see the project in action: http://slack.outerbounds.co
- Email: [email protected]
vibecodemaster · 2025-07-17
There's actually a lot of companies using Metaflow, big and small: https://outerbounds.com/stories
wofo · 2025-04-14
I've been pretty disappointed with eStargz performance, though... Do you have any numbers you can share? All over the internet people refer to numbers from 10 years ago, from workloads that don't seem realistic at all. In my experiments it didn't provide a significant enough speedup.
(I ended up developing an alternative pull mechanism, which is described in https://outerbounds.com/blog/faster-cloud-compute though note that the article is a bit light on the technical details)