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pancakeguy

Re:Ask HN: What are you working on? (May 21) on Thursday May 21, 2026 @11:36AM (#48224559)
A new kind of workload scheduler. I think it's silly that it's so normal datacenters to sit at ~20% utilization all the time.

With the right scheduler I think we could get that above 90%. Would love to hear any feedback / thoughts. Here's a blog explaining: https://docs.burla.dev/blog/dynamic-hardware

Re:Nano Banana 2: Google's latest AI image generation model on Thursday February 26, 2026 @01:03PM (#47169632)
Surely this is a problem that we will never be able to solve.
Re:Nano Banana 2: Google's latest AI image generation model on Thursday February 26, 2026 @01:01PM (#47169615)
This is the same argument illustrators made upon the invention of photography.

Show HN: Burla – Scale any Python program using one simple function

https://docs.burla.dev

Burla is an open-source python package with one function: `remote_parallel_map`Given: a function, and a list of inputs; `remote_parallel_map` runs that function on every input in the list in parallel, each in a separate vm in the cloud, then returns a list of results. It can run any Python function on 1,000 vm's in less than 1 second, works with any hardware, and any custom container. Remote...

( Read More... | no comments | 2 points | on HN )

Show HN: Cloud platform with the learning curve of a toaster.

https://docs.burla.dev

Hi I'm Jake a co-founder at Burla.dev. We're building a cloud platform with the learning curve of a toaster! (yes, a normal toaster you'd find in your kitchen)I'm not kidding. Our Python package only has one function, and it only requires two arguments. Using this function even total beginners can run Python on thousands of computers at once, in a way that feels no different from coding on your...

( Read More... | no comments | on HN )

Show HN: cluster-compute software for python beginners

https://docs.burla.dev

Hi HN, I'm a co-founder of Burla.dev, we're building cluster compute software for Python beginners. . We help people in Biotech, Geospatial, and quant-finance scale their analyses in the cloud without help from other engineering teams. . There are many fields where people code daily and deal with lot's of data, yet specialize in something other than engineering. We built Burla to enable...

( Read More... | no comments | on HN )
It's cool that this is possible on a single node but I still think distributed is the way.

The point of these tools is productivity. What are you trying to accomplish and how long does it take to accomplish? This includes time spent writing code and fussing with configs. This would take <1min to run and <10 to write on a cluster. Happy to might make a demo to prove it.

Yes cost matters also, but running many machines for a short period of time is the same as one for a long time? Open to honest rebuttal.

Re:I want a good parallel language [video] on Wednesday November 05, 2025 @06:22PM (#45829421)
What about burla.dev ?

Or basically a generic nestable `remote_parallel_map` for python functions over lists of objects.

I haven't had a chance to fully watch the video yet / I understand it focuses on lower levels of abstraction / GPU programming. But I'd love to know how this fit's into what the speaker is looking for / what it's missing (other than obviously it not being a way to program GPU's) (also full disclosure I am a co-founder).

Show HN: Easy to use Cluster-Compute software

https://docs.burla.dev

Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software.Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own. Engineering managers we spoke with frequently attempt to onboard these teams to tools like Apache Airflow, Prefect, Dask,...

( Read More... | no comments | 2 points | on HN )

Show HN: Extremely simple cluster-compute software

https://docs.burla.dev

Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software.Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own.Engineering managers we spoke with frequently attempt to onboard these teams to tools like Apache Airflow, Prefect, Dask,...

( Read More... | no comments | 2 points | on HN )

Show HN: Giz, AI Git commits with easy to modify system prompt (in 140 lines)

https://github.com/JacobZuliani/giz

I tried setting up an AI git commit tool this weekend and it was hell.All the tools are either not maintained, outdated, or make it a total pain to customize the system prompt. All I wanted was simple AI commit messages, that I can customize!Introducing Giz: A tiny, drop in replacement for `git commit`, with ai commit messages.`giz commit` behaves exactly like `git commit` with one...

( Read More... | 1 comment | on HN )

Show HN: Open-Source Alternative to Modal

https://github.com/Burla-Cloud/burla

Hi all, we're Jake, Jack and Joe, and we're building the open-source alternative to modal labs.We think Modal's great, and wanted to use it at our previous places of work, but weren't allowed to because it was too expensive, and our data couldn't leave our cloud.This is why we built Burla, the open-source alternative to modal.Burla can run any python function on 1000 computers in around 1...

( Read More... | no comments | 2 points | on HN )

Show HN: Burla – Scale Python to 10,000 VM's with one line of code.

https://docs.burla.dev

Hi HN! We're Jake, Jack, and Joe, and we're the makers of Burla, an open-source, batch-processing platform for python.We were frustrated by how slow and difficult it can be to iterate on large batch processing pipelines. Simple small changes necessitated rebuilding docker containers, waiting for GCP-batch, or AWS-batch pipelines to redeploy, and waiting for vm's to cold boot, a &gt;5minute per...

( Read More... | no comments | 3 points | on HN )

Show HN: Introducing Burla – The simplest way to scale Python

https://www.burla.dev

Hi HN! We're Jake, Jack, and Joe, and we're happy to share what we think is probably the simplest way to scale python code across thousands of computers in the cloud.Coming from the Biotech world we were frustrated by how surprisingly slow and difficult it can be to iterate on large-scale batch processing pipelines, while contending with the security requirements imposed on us by the...

( Read More... | no comments | 5 points | on HN )
1. I'd have phone/video calls with people who face the problem im solving, usually from my personal network / asking people on linkedin. In these calls I'd really try to learn about the problem and how they're solving it now. Possibly make presales on the phone at this point if the problem seems really intense and frequent. 2. Quickly build MVP 3. Send MVP to everyone I spoke with 4. observe whether it solves their problem
Re:Show HN: DeepEval – Evaluation and Unit Testing for LLMs on Monday September 25, 2023 @04:25PM (#37650097)
How do I know I can trust the factual consistency metric? You linked to a research paper in the docs but reading a research paper is the last thing I want to do right now.
I was down bad and started throwing ideas at startup accelerators until I got money to work on one. Motivation to spend all of my time working on ideas came from anxiety about my future. I know Im capable of building something cool and useful, my biggest fear is never giving it my all, then looking back and feeling like I wasted a good hand in life.
Havent seen anything like tiktok but theres the bonobo press newsletters: https://bonobopress.com/newsletters/ which is a hand picked set of blog posts sent weekly over email. Theres also https://www.techleadhyperdigest.com/ which provides dense summaries of https://techleaddigest.net/
Re:Ask HN: Who Wants to Collaborate or a Cofounder? on Monday May 02, 2022 @10:25PM (#31243707)
I'm working on building simple, mess-resistant, data-storage and data-pipeline tools for bioinformatics teams in Boston.

Currently a mix of after work/ weekend projects

looking for other engineers who might want to collaborate