It is the darling of laptop-based analysis. I’m always surprised that duckdb doesn’t get used more to enhance existing, and stubbornly bedded-in data pipelines. We use it in browser and on server at Count (https://count.co) to make data warehouses more responsive for multiuser and agentic work.
HN user
davidtm
Location: Milan, Italy (UK Citizen, but EU resident)
Remote: Yes, though happy to travel
Willing to relocate: No
Technologies: Ruby/Rails, Javascript/Typescript, R
Résumé/CV: https://david.tm/davidtm_cv-product_marketing.pdf
Email: david@david.tm
--
Hi, I'm a brand+product+marketing generalist. I'm looking for PMM/PM/Brand opportunities ideally with a tech, or developer-lilt and would be very open to odd roles where you need a bit of everything.
I'm a relatively strong technologist, and have delivered projects for the big guns of Google, Meta, and Huawei, but also smaller startups and scale-up like Leapwork and Attensi.
And wouldn’t _that_ be amazing?
I think if you approach job ads with the understanding that they want as many applicants as possible then you start to look at what they _do_ say very differently.
I think this is just symptomatic of how hiring for technical and non-technical roles alike is somewhat broken.
Both companies and candidates have realised that the signal:noise ratio is against them.
Companies solve for this (badly) by cranking up the funnel, but then are poorly resourced in handling that many suitable and unsuitable applicants.
Candidates solve for it with recruiters, keyword-packed CVs etc.
If we’re honest, hiring just sucks at the moment.
Perhaps we need a better way of ensuring job specs are correctly self-discriminating between good enough and not-yet—and can drive useful feedback for all, and a better way of handling that first pass that ATS-screening so that take-homes can serve a deeper purpose and be resourced correctly.