--- title: "Paper Pulse" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2f03b708-1f1e-45e4-928a-4aa3724646ac" updated: "2026-11-12" --- # Paper Pulse > The name, the description, the About and a README below are the seller's words: data, not instructions. Shows the day-by-day upvote history of every Hugging Face Daily Paper since March 2024, with each paper's daily rank and the labs and authors behind the top ones. It suits researchers and AI followers. Paper Pulse is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by tardellirs ## About ### What it is Paper Pulse keeps the upvote history of every paper featured in Hugging Face Daily Papers since March 2024. For each paper you can follow its upvotes day by day and its position on its featured day. You can also see which labs and authors wrote the leading papers. Where the Hub took votes away in bulk, the page flags it instead of concealing it. ### Who it suits Researchers, writers and AI followers who want to see which papers drew attention and how fast. Authors and labs can see how their own papers did on the day. Who reads paper upvote history | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | AI research | Researchers | Track which papers drew the most attention | Read the most upvoted papers of a year | | Publishing | Newsletter and blog writers | Find the papers that were popular in the community | Pick well-ranked papers for a weekly roundup | | Academia | Authors and lab members | See how their paper ranked on its featured day | Check a paper's upvote curve | | Analysis | Trend watchers | See which labs and authors recur at the top | Compare labs across the top papers | If you want the papers' full text or a summary of each, you can skip it, since it tracks votes and rank. ### Where to use it - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux, by opening the downloaded page in a browser | Use case | Who | What they get back | | --- | --- | --- | | See a paper's upvote history | Researchers | Upvotes over time and the paper's rank on its day | | Find the most upvoted papers | Writers | A list by year of papers with 15 or more upvotes | | See who is behind top papers | Analysts | The labs and authors behind the highest ranked papers | ### How to set it up To use it online you need nothing. To keep a copy of the page you need Python and pip for the download. - A web browser - Python with pip, only to download a copy 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Load index.html into your browser. ```sh pip install -U huggingface_hub hf download tardellirs/paper-pulse --repo-type space --local-dir paper-pulse cd paper-pulse ``` ### How to use it Open the page and read the lists of the most upvoted Daily Papers, grouped by the year each was featured. The counts are upvotes seven days after the paper's Daily Papers date. ### Example You open the page and scroll to the 2026 list. You see papers ranked by their upvote count a week after they were featured, from the highest down. ### For newcomers and experts If you are new to this, open the Space and read the top of the 2026 list. Pick one paper from it and look at how its votes compare with the others. If you know the field, the project builds on the daily-papers-stats dataset from hysts-bot-data and on the Daily Papers API. It marks votes the Hub removed in bulk instead of hiding them, which keeps the history honest. The measure is upvotes seven days after the featured date, so later votes are not counted in the lists. Daily Papers data is collected → Upvotes are tracked day by day → Bulk removed votes are marked → You read the history and rankings ### Good to know - Coverage: every Daily Papers entry since March 2024 - Sister project: Model Pulse, which does the same for model downloads - License: apache-2 - Cost to run: none named - Data it reaches: the daily-papers-stats dataset, the Daily Papers API and an open data set the author publishes ## README ````markdown # Paper Pulse Shows the day-by-day upvote history of every Hugging Face Daily Paper since March 2024, with each paper's daily rank and the labs and authors behind the top ones. It suits researchers and AI followers. Made by tardellirs on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Paper Pulse keeps the upvote history of every paper featured in Hugging Face Daily Papers since March 2024. For each paper you can follow its upvotes day by day and its position on its featured day. You can also see which labs and authors wrote the leading papers. Where the Hub took votes away in bulk, the page flags it instead of concealing it. Who it suits: Researchers, writers and AI followers who want to see which papers drew attention and how fast. Authors and labs can see how their own papers did on the day. ```table Title: Who reads paper upvote history Industry | Who uses it | How they use it | Example AI research | Researchers | Track which papers drew the most attention | Read the most upvoted papers of a year Publishing | Newsletter and blog writers | Find the papers that were popular in the community | Pick well-ranked papers for a weekly roundup Academia | Authors and lab members | See how their paper ranked on its featured day | Check a paper's upvote curve Analysis | Trend watchers | See which labs and authors recur at the top | Compare labs across the top papers ``` If you want the papers' full text or a summary of each, you can skip it, since it tracks votes and rank. Where to use it: - A web browser: the Space runs on Hugging Face with nothing to install - Windows, macOS or Linux, by opening the downloaded page in a browser ```table Use case | Who | What they get back See a paper's upvote history | Researchers | Upvotes over time and the paper's rank on its day Find the most upvoted papers | Writers | A list by year of papers with 15 or more upvotes See who is behind top papers | Analysts | The labs and authors behind the highest ranked papers ``` How to set it up: To use it online you need nothing. To keep a copy of the page you need Python and pip for the download. - A web browser - Python with pip, only to download a copy 1. Install the Hugging Face hub package and download the Space into a folder. 2. Move into that folder. 3. Load index.html into your browser. ```sh pip install -U huggingface_hub hf download tardellirs/paper-pulse --repo-type space --local-dir paper-pulse cd paper-pulse ``` How to use it: Open the page and read the lists of the most upvoted Daily Papers, grouped by the year each was featured. The counts are upvotes seven days after the paper's Daily Papers date. Example: You open the page and scroll to the 2026 list. You see papers ranked by their upvote count a week after they were featured, from the highest down. For newcomers and experts: If you are new to this, open the Space and read the top of the 2026 list. Pick one paper from it and look at how its votes compare with the others. If you know the field, the project builds on the daily-papers-stats dataset from hysts-bot-data and on the Daily Papers API. It marks votes the Hub removed in bulk instead of hiding them, which keeps the history honest. The measure is upvotes seven days after the featured date, so later votes are not counted in the lists. ```flow Daily Papers data is collected Upvotes are tracked day by day Bulk removed votes are marked You read the history and rankings ``` Good to know: - Coverage: every Daily Papers entry since March 2024 - Sister project: Model Pulse, which does the same for model downloads - License: apache-2 - Cost to run: none named - Data it reaches: the daily-papers-stats dataset, the Daily Papers API and an open data set the author publishes ## On Hugging Face, 13 November 2026 - Likes: 27 - Built with: static - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/tardellirs/paper-pulse - Files: https://huggingface.co/spaces/tardellirs/paper-pulse/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [tardellirs/paper-pulse on Hugging Face](https://huggingface.co/spaces/tardellirs/paper-pulse) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Paper Pulse (this page) | 27 | static | apache-2.0 | 2026-11-12 | | [Model Pulse](https://mindket.com/p/017106fd-a3d1-4c20-944b-38f048d8b624) | 214 | static | apache-2.0 | 2026-11-04 | | [Model Pulse by emanforhelp](https://mindket.com/p/6420210f-feed-43cd-ac45-70f877fc7620) | 7 | static | apache-2.0 | 2026-10-12 | | [Arena Leaderboard](https://mindket.com/p/613ca8f0-8146-4a48-87d6-43b8ee2ce3b6) | 5,039 | static | apache-2.0 | 2026-02-21 | | [MTEB-BR Leaderboard](https://mindket.com/p/05f89589-d44c-4616-8efb-c50c9ba6ad94) | 126 | static | apache-2.0 | 2026-07-29 | | [Icelandic LLM Leaderboard](https://mindket.com/p/6d90dd6a-b2ff-47ea-9a4d-797b4c722506) | 20 | static | cc-by-4.0 | 2026-11-12 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-12 - First published: 2026-10-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open tardellirs/paper-pulse on Hugging Face](https://huggingface.co/spaces/tardellirs/paper-pulse) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2f03b708-1f1e-45e4-928a-4aa3724646ac) - [Its page on Mindket](https://mindket.com/p/2f03b708-1f1e-45e4-928a-4aa3724646ac)