zerojames

This is a very cool project!

Roboflow | Solutions Architects, Implementation Engineer, Developer Advocate, Full Stack Engineers | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0725

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like RF-DETR [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We raised our Series B round at the end of last year, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1] https://roboflow.com/?ref=whoishiring0725

[2] https://roboflow.com/universe?ref=whoishiring0725

[3] https://github.com/roboflow/rf-detr

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0725

[6] https://www.youtube.com/@Roboflow

[7] https://blog.roboflow.com/series-b/

Roboflow | Solutions Architects, Implementation Engineer, Developer Advocate, Full Stack Engineers | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0625

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like RF-DETR [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We raised our Series B round at the end of last year, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1] https://roboflow.com/?ref=whoishiring0625

[2] https://roboflow.com/universe?ref=whoishiring0625

[3] https://github.com/roboflow/rf-detr

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0625

[6] https://www.youtube.com/@Roboflow

[7] https://blog.roboflow.com/series-b/

Roboflow | Solutions Architects, Implementation Engineer, Recruiter, Full Stack Engineers | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0425

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1] https://roboflow.com/?ref=whoishiring0425

[2] https://roboflow.com/universe?ref=whoishiring0425

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0425

[6] https://www.youtube.com/@Roboflow

[7] https://blog.roboflow.com/series-b/

This is a delightful app. Thank you for sharing! I like the user experience. I don't need to do anything except for write and press enter when I want to create a new line of text.

Roboflow | Solutions Architects, IT & Security Ops, Implementation Engineer, Recruiter, Full Stack Engineer | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0325

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1] https://roboflow.com/?ref=whoishiring0325

[2] https://roboflow.com/universe?ref=whoishiring0325

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0325

[6] https://www.youtube.com/@Roboflow

[7] https://blog.roboflow.com/series-b/

Roboflow | Solutions Architects, IT & Security Ops, Implementation Engineer, Open Source Software Engineer, Full Stack Engineer | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring1224

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1] https://roboflow.com/?ref=whoishiring0225

[2] https://roboflow.com/universe?ref=whoishiring0225

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0225

[6] https://www.youtube.com/@Roboflow

[7] https://blog.roboflow.com/series-b/

Hello there! Did you receive an error with your RSS feed (https://rishikeshs.com/index.xml) or the JSON feed (https://rishikeshs.com/index.json)?

I am able to successfully poll the RSS feed, but the JSON one is returning an error. Only JSON Feeds that conform to https://www.jsonfeed.org/version/1.1/ are parsable by the software.

Thank you so much!

This project actually started off as a GitHub Action to trigger a daily sync, with a Python script that polled pages and saved the results. A static site generator then built the site using the data from the polling process.

I love the design of your page!

Good question. I haven't found this to be an issue yet, perhaps because of the infrequency with which resources are accessed.

With that said, I can't guarantee this is not an issue. There are a few feeds that return errors that I need to investigate.

Nice!

P.S. I love the colour choices and the colour stripe interactions on your website. So cool!

The open source version is a bit different from the hosted one: the open source code involves running the polling script, then building a static site (which is how I run the site for several months as a single-user project).

I am planning to move the polling changes upstream soon and then figure out a plan for open sourcing the full project.

Thank you! I think how something is made, and the decisions that got it to where it is, is just as important as the thing itself.

One of the delightful things about the web is we can all bring our own ideas and designs to problems.

I haven't written about this yet, but one thing on my mind is the importance of good import/export features. With good import/export features, we can all move around and try different softwares to see which ones we like!

Apologies for the inconvenience. A fix has been deployed.

Thank you for the email. The OPML import is a bit of a newer feature so it hasn't had as much testing. I'll take a look to see what's going on and get back to you.

Roboflow | Field Engineers, Full-Stack Engineers, Account Executives, SDRs, Wildcard | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring1224

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform [1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 1 million engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models [2]. We are pushing forward the CV ecosystem with open source projects like Autodistill [3] and Supervision [4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog [5] and YouTube channel [6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring for full-stack engineers to help build our product, field engineers that work directly with our customers to solve their business needs with computer vision, and several technical roles on the sales team.

We just raised our Series B round, led by GV. With this round, we will continue building the open source tools, platform, and community so developers and enterprises can deploy computer vision applications to production. [7]

[1] https://roboflow.com/?ref=whoishiring1224

[2] https://roboflow.com/universe?ref=whoishiring1224

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring1224

[6] https://www.youtube.com/@Roboflow

[7] https://blog.roboflow.com/series-b/

Roboflow | Field Engineers, Full-Stack Engineers, Wildcard | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring1124

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

[1] https://roboflow.com/?ref=whoishiring1124

[2] https://roboflow.com/universe?ref=whoishiring1124

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring1124

[6] https://www.youtube.com/@Roboflow

Roboflow | ML Engineers + Field Engineers + Full-Stack Engineers | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring1024

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

[1] https://roboflow.com/?ref=whoishiring1024

[2] https://roboflow.com/universe?ref=whoishiring1024

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring1024

[6] https://www.youtube.com/@Roboflow

Roboflow | Infrastructure Engineer + ML Engineers + Full-Stack Engineers | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0924

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

[1] https://roboflow.com/?ref=whoishiring0924

[2] https://roboflow.com/universe?ref=whoishiring0924

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0924

[6] https://www.youtube.com/@Roboflow

I have seen excellent performance with Florence-2 for OCR. I wrote https://blog.roboflow.com/florence-2-ocr/ that shows a few examples.

Florence-2 is < 2GB so it fits into RAM well, and it is MIT licensed!

On a T4 in Colab, you can run inference in < 1s per image.

Roboflow | Infrastructure Engineer + ML Engineer + Full-Stack Engineer | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0824

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

[1] https://roboflow.com/?ref=whoishiring0824

[2] https://roboflow.com/universe?ref=whoishiring0824

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0824

[6] https://www.youtube.com/@Roboflow

Roboflow | Field Engineer + ML Engineer | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0724

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

[1] https://roboflow.com/?ref=whoishiring0724

[2] https://roboflow.com/universe?ref=whoishiring0724

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0724

[6] https://www.youtube.com/@Roboflow

How is Gemma-2 licensed?

The Aranet is wonderful. I have had mine (Aranet 4) running for at least a year on a single charge.

Oops, I did, indeed. My apologies! I shall have to resubmit.

with our eyes wide and bright

on the orange site, we write

in curiosity, we find delight

here: a land of the bit and the byte

Roboflow | Full-Stack Engineer + Field Engineer | Full-time (Remote, SF, NYC) | https://roboflow.com/careers?ref=whoishiring0624

Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment.

Over 250k engineers (including engineers from 2/3 Fortune 100 companies) build with Roboflow. We now host the largest collection of open source computer vision datasets and pre-trained models[2]. We are pushing forward the CV ecosystem with open source projects like Autodistill[3] and Supervision[4]. And we've built one of the most comprehensive resources for software engineers to learn to use computer vision with our popular blog[5] and YouTube channel[6].

We have several openings available but are primarily looking for strong technical generalists who want to help us democratize computer vision and like to wear many hats and have an outsized impact. Our engineering culture is built on a foundation of autonomy & we don't consider an engineer fully ramped until they can "choose their own loss function". At Roboflow, engineers aren't just responsible for building things but also for helping us figure out what we should build next. We're builders & problem solvers; not just coders. (For this reason we also especially love hiring past and future founders.)

We're currently hiring full-stack engineers for our ML and web platform teams, a web developer to bridge our product and marketing teams, several technical roles on the sales & field engineering teams, and our first applied machine learning researcher to help push forward the state of the art in computer vision.

[1] https://roboflow.com/?ref=whoishiring0624

[2] https://roboflow.com/universe?ref=whoishiring0624

[3] https://github.com/autodistill/autodistill

[4] https://github.com/roboflow/supervision

[5] https://blog.roboflow.com/?ref=whoishiring0624

[6] https://www.youtube.com/@Roboflow

Great question! I work for a computer vision company (Roboflow) and have seen computer vision used for everything from accident prevention on critical infrastructure to identifying defects on vehicle parts to detecting trading cards for use in video game applications.

Drawing bounding boxes is a common end point for demos, but for businesses using computer vision there is an entire world after that: on device deployment. This can be on devices like an NVIDIA Jetson (a very common choice), to Raspberry Pis to central CUDA GPU servers for processing large volumes of data (maybe connected to cameras over RTSP).

Note: There are many models that are faster and perform better than YOLOv5 (i.e. YOLOv8, YOLOv10, PaliGemma). Roboflow Inference that our ML team maintains has various guides on deploying models to the edge: https://inference.roboflow.com/#inference-pipeline

The code is open source, in case you are interested in reading the source code!

https://github.com/capjamesg/nanosearch/blob/main/nanosearch...

The algorithm of what happens is:

  1. You provide a sitemap.
  2. All URLs in the sitemap are downloaded.
  3. The HTML from each URL is read, extracting the page title, description, and contents.
  4. The contents are processed using a search algorithm. This tool supports TF/IDF and BM25, two commonly-used search algorithms. I use Python packages that implement these since there are many people who have implemented these algorithms reliably.
  5. A link graph is calculated that tracks all links between all pages.
  6. When you run a search, the algorithm you chose (BM25 or TF/IDF) will run to find related documents. This is a keyword search. Then, results are weighed by the number of links to the page. This weight is useful if a site talks a lot about topics with the same keywords; by using links as a ranking factor, posts that are more connected to others will be elevated in search. Google pioneered the idea that links are "votes" on the relevance of content (although this tool doesn't use PageRank like Google).

I am glad to see more projects in the vein of helping people find research papers. I am delighted by the discourse of papers on HN. Indeed, the comments on research papers here can help me better understand something that's outside my field of expertise. But HN is not specifically for research. Thus, it feels like there is room for another space for people to come.

I like the idea of subcategories. Some notes on the experience:

  - When I load the page, it takes 1-2 seconds for papers to load. This doesn't feel great.
  - The grey colours in the list make the page hard to skim. I recommend a darker colour for the text.
  - The colour of the navigation links is too light. It is hard to see the links.
  - The information density is spot on. Amazing work!