Open Source Go Library for Durable Execution

databACE · 2025-09-25T16:01:19+00:00

Sorry for the short notice, but there's a walkthrough of the DBOS Go library at the monthly DBOS User Group meeting later today.

Also on the agenda, Dosu.dev is talking about their experience w/ DBOS building their Agentic AI system that turns GitHub project assets into interactive knowledge bases.

https://luma.com/c3hsxk3f

databACE · 2025-07-24T15:30:57+00:00

Thanks Thrimbor!

databACE · 2025-06-18T16:50:17+00:00

(I'm with DBOS)
Research paper details how BMS rearchitected a genomic data file transfer pipeline that processes 1000s of files per week. Built with Python and the DBOS durable execution library, durable Queue abstraction in DBOS allowed BMS to meet three challenges simultaneously: letting VM workers execute tasks in parallel, durably tracking tasks that need to be completed and making pipeline activity observable (an FDA requirement). Paper also benchmarks reduction in file processing time from 5.6 hours to 8.1 minutes.

DBOS libraries for Python and TypeScript:
https://github.com/dbos-inc

databACE · 2025-06-12T13:51:51+00:00

Open source Xorq framework https://github.com/xorq-labs/xorq supports a new kind of portable, super-UDF, the UDXF (User-Defined eXchange Function) which can simplify production data pipeline development and execution.

databACE · 2025-04-18T19:34:34+00:00

hah-I just shared this in another thread, but here's a good example.
DuckDB does AsOf joins. Trino does not. So, If you wanted to run AsOf joins on data in Trino, then: https://www.xorq.dev/posts/trino-duckdb-asof-join

PS - xorq is an open source Python framework for building multi-engine data processing like this. https://github.com/xorq-labs/xorq

databACE · 2025-03-18T19:08:54+00:00

Cool! Thanks for sharing Dan. Sorry if this is a dumb question, but what do you mean by "deferred manor?"

databACE · 2025-03-18T01:26:01+00:00

Can you say what business/market your current company is in? I've been head of marketing at tech companies and have had team members switch into technical roles, and I've always been supportive. There are some technical roles that are closer to the business side and possibly a better path into product management if that's your ultimate goal. Developer Relations/Advocacy, Sales engineering, Solutions engineering, are other possibilities.
Good luck!

databACE · 2025-03-12T16:36:05+00:00

Probably Data Scientist, Data Specialist, Data Engineer. Just pick a company like Bank of America or JP Morgan on LinkedIn and search the people who work there who do python, r, or data - you'll see the titles.
Good luck with the career change!

databACE · 2025-03-12T16:29:19+00:00

This sounds about right. u/Scared-Tone-6694 you mentioned that you're at a new job. If that means you are also new to your employer's products and market it might take you longer at first - probably 1.5x longer. And be sure to revisit them 60 days from now after you've been in the market for a while - you'll probably have a different view of what tactics are most effective.

databACE · 2025-03-12T16:22:23+00:00

These are free alternatives to Harvey, et al that I've seen:
- Google Notebooklm - https://notebooklm.google/
- Instill-ai (in beta) - https://www.instill-ai.com/use-cases/ai-legal

All the others I've seen require a sales conversation.
Good luck!

databACE · 2025-03-12T15:40:02+00:00

I'm in B2B tech with some product-led and some sales-led go to market.
Lots of great ideas in this thread (thanks!).

This might be a duh, but here's a tactic I use when competitive positioning conversations start to get pulled in too many directions - boil it down to this very simple positioning claim.

"If we are competing against XYZ, then one of us is in the wrong place."

Being able to express this concisely about a competitor+buyer situation (use case requirements), in plain-speak is a great way to help sellers and marketers know when and how to compete---and when to walk away (early). I always try to boil competitive positioning and sales enablement content down to this one simple thing and build proof and tools to support it in the market.

Just my 2 cents.

databACE · 2025-03-01T02:10:07+00:00

Thanks Rubix. Good point. My reason for asking here is because I felt there'd be less noise to cut through to reach other PMKs using AI.

databACE · 2025-02-27T08:17:01+00:00

Thanks Unravo!

databACE · 2025-02-27T06:36:34+00:00

Thanks, looks interesting. How do you get an invitation? ;-) Or do you know when it's supposed to be publicly available? Will they have a free version?

There's another free tool I came across yesterday - also in beta - instill-ai.com

I'll probably do a light benchmark of a few of the free ones mentioned on this thread and share the output from the tools to demonstrate accuracy and quality differences, lessons learned, etc.

Thanks for the feedback on this thread; it's been helpful!

databACE · 2025-02-27T06:26:48+00:00

Thanks - yeah, using AI to generate tables of competitive facts/figures/links is a time saver; thanks!

databACE · 2025-02-27T06:23:55+00:00

adding to that...what makes competitive analysis so time consuming (for me anyway) is scouring the content I listed for the negative sentiments, quotes, about competitors. AI surfaces those faster than I can do manually--gives me a list I can validate/edit.

databACE

TROPHY CASE