jlarks32

Rebar | Software Engineers (Product, Applied AI, ML Infra, Data Platform) | ONSITE 5 days/week, New York City (union square area!) | Full-time | $150k–$260k + equity | https://jobs.ashbyhq.com/rebar

We build AI estimating software for commercial HVAC, plumbing, and electrical contractors. Before bidding on a job, a contractor or estimator has to count every duct, fitting, diffuser, and piece of equipment across a set of construction drawings that can run to thousands of pages. We speed this up by ingesting the drawings, detecting the equipment schedules, finding symbols, and producing a priced takeoff that the estimator reviews and corrects in a collaborative canvas editor. We have strong PMF and raised a $14M Series A earlier this year.

It may not sound sexy, but it actually is!! There are a ton of hard and interesting engineering challenges. Just to highlight a few:

* very dense document drawings with a realtime collaborative canvas editor (think 50k DOM elements and up) * segmentation models (and many more) whose output has to become geometry a user can interact with * gpu inference across hundreds of concurrent jobs * dynamic analytics and chart generation from agentic workflows custom built for estimators

Open roles:

* Software Engineer, Product ($180k–$240k): https://jobs.ashbyhq.com/rebar/5ab49c2d-9a70-4723-9217-7704a... * Software Engineer, Applied AI ($150k–$250k): https://jobs.ashbyhq.com/rebar/ad41a627-d9a4-49a4-a1b4-f7202... * Software Engineer, ML Infrastructure ($200k–$260k): https://jobs.ashbyhq.com/rebar/ead8df0c-b6da-4e79-90d0-99651... * Software Engineer, Data Platform ($170k–$220k): https://jobs.ashbyhq.com/rebar/c227ea05-98f8-4a08-9760-f7e3c...

Stack: TypeScript/React/Next.js, Python, PyTorch, Postgres, Temporal, AWS, Kubernetes, Modal.

We're also hiring for PMs, implementation, sales, and marketing roles! I'm the Head of Engineering. Apply through Ashby and mention HackerNews or HN in the Ashby form. Or email me at [email protected]. We will reply to everyone, but it might take us some time! Thank you in advance for your patience

Additionally, there's a fun puzzle on our marketing site that will fast track your application if you want to solve!

I was lucky enough to work at Dropbox for a bit. Awesome engineering culture and such good people. Got to even grab a beer and rip karaoke with Drew. Thanks for creating such an awesome working environment Drew. I cannot say thank you enough for those memories or that experience. By far the best CEO and leader I've seen.

Looks awesome! Super excited to try it. What are pros / cons over Cap? https://cap.so/ - also open source https://github.com/CapSoftware/cap

The disclosure route is cut off at the bottom: https://dev.moment.com/disclosures

I cannot scroll to the Governing Law section

Sick project. Great work. Thanks for the HF dataset as well.

+1 on this one, I've been pleasantly surprised by this for a small (<3GB) local project

Just want to say beautiful website and product. Ensō looks well designed. And your "digital garden" is gorgeous as well.

Just a note, if you guys haven't checked out the `Explore` page, I would highly recommend doing that for some interesting visualizations. My first page -> second page dropoff % is higher than I would have hoped for...

Great feedback. I hear ya on the automatic carousels just was trying to capture that scoreboard-esque feel.

I'll take action on these comments soon(ish). But yes, I concur I need to drastically improve the mobile layout tbh.

Honestly, it ends up being about 30% of the way I interact with my landing page. For better or for worse.

Ok 1) thank you for the comment about the website haha I am flattered. 2) Anything I could do to make your more invested in the numbers? I get what you mean about some of the scores being almost too homogenous and therefore the fact it's unique at a best-of-5 level makes it almost less globally unique. Any thoughts on how I could make the "story" a bit more interesting?

I'm working on Tennis Scorigami - a data viz and tennis centric project somewhat similar to NFL's scorigami, but with a little bit more (if i do say so) interesting visualizations / new ways to look at the data.

From a technical side, I've processed around 325k+ matches. Right now, only main ATP / WTA matches (no challengers, no doubles, no mixed) sadly. I'm working on expanding that, improving our infra layout, exposing a public facing API, collecting the data on my own, and most importantly live score ingestion (especially given the fact that Wimbledon is starting tomorrow).

Feedback on the app through Canny / joining the Discord / following the Twitter / or any and all of the above would be much appreciated.

Yeah great work with this. Seems like a real opportunity given how hard Duolingo is dropping the ball.

Yeah for what it's worth, ChatGPT with custom instructions can definitely do this! This was something that I did pretty early on: https://chatgpt.com/g/g-6mfNb9Hys-calendar-creator