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 john@withrebar.ai. 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