Ask HN: Who is hiring? (February 2026)

We're building an open source AI image and video crafting tool, aiming to take on the likes of Adobe, Figma, Blender, and more.

The tool is similar to AI aggregator tools like FreePik, Higgsfield, etc., but we're making our tools open source and we undercut middle-men aggregators with strong BYOK / "login with" components. Our founding team consists of filmmakers, VFX engineers, and people passionate about the field.

To apply: email brandon@storyteller.ai or join our Discord. Mention HN. Strong bias for candidates that enjoy film and video, so please share your YouTube, Vimeo, or IMDB if you have one.

Learn more: https://github.com/storytold/artcraft

Hi! I work with a small group of developers doing custom software development and consulting for small/medium businesses.

We are seeking a developery-data person with experience specifically with CloudSuite Distribution by Infor for one of our clients. It may be a bit of a shot in the dark, but if you have worked with this *specific* ERP system before, we'd be eager to talk to you. Reach out at "ekib.eikooc@rofni".reverse() Please include your experience in your email body/subject as we will have to quickly triage out most of the spam.

PS. Each time I post here I get ~500 emails, almost all are low effort that don't meet anything I am looking for, sometimes for months in the future. I expect it to be even worse as LLMs gain traction. I've hired 4 people from past posts (check my history if you want!), but it can take some time dig through everyone so I apologize to legitimate interests.

Being able to ask questions to an LLM copilot about patterns across several billion rows, 140GB of time series data, like how the market reacts 15 minutes, 1 day, and 1 week after Federal Reserve press releases, using time_bucket() and other aggregation functions with compressed chunks, and having the copilot generate the queries and run them fast, is going to be game changing. I can ask to write a script to scrape the press releases, to run them through another agent to classify them (hawk, dove) and use that information in the time series analysis.

Even though that exploration has not produced any actionable, tradable results for me, which is why I am sharing it, eventually TimescaleDB will be one of the most important tools in fields like medical research. A researcher will be able to ask in natural language for statistically significant patterns in the data, and LLM agents will query it quickly while taking advantage of all the TimescaleDB optimizations.

Web scraping hasn't changed in decades: engineers still write brittle scripts that constantly break. Kadoa automates the entire web data pipeline with AI agents that build, maintain, and validate scraper code themselves.

All 3 founders have spent years in the trenches writing web scraping and ETL software and still do it almost every single day. We’re making sure every team member can do the best work of their career at Kadoa.

We are growing fast, have a drama-free and distraction-light environment, and try to minimize the distance between the code you ship and the customers who use it.

We are looking for people who share our passion for software craftsmanship, web scraping, and AI.

Open roles:

- Senior Frontend Engineer: https://www.kadoa.com/careers/frontend-engineer

- Senior Software Engineer: https://www.kadoa.com/careers/senior-software-engineer

If that sounds like you, please email me at (adrian at kadoa dot com) and mention HN in the subject line.

Kensho is S&P Global’s hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more.

Founded in 2013, Kensho is headquartered in Cambridge, Massachusetts with an office in New York City. In 2018, S&P Global acquired Kensho for $550M, the largest AI acquisition in history to date.

We are currently looking for • Full-Stack Engineers • Senior Back End Engineer • Forward Deployed Engineer • Senior Infra Engineer • and more!

To see all open positions visit https://www.kensho.com/careers