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Doomscrolling Research Papers

Details

External ID
46119932
Source
HN
Company
—
Product
Doomscrolling Research Papers
Website domain
openpaperdigest.com
Launched
Dec. 2, 2025
Cohort
—
Upvotes
14
Upvotes percentile
0.5868320610687023
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

Hi HN,Would love your thoughts on Open Paper Digest. It’s a mobile feed that let’s you “doomscroll” through summaries of popular papers that were published recently.Backstory There’s a combination of factors lead me to build this:1. Quality of content social media apps has decreased, but I still notice that it is harder than ever for me to stay away from these apps. 2. I’ve been saying for a while now that I should start reading papers to keep up with what’s going on in AI-world.Initially, I set out to build something solely for point 2. This version was more search-focussed, and focussed on simplifying the whole text of a paper, not summarizing. Still, I wasn’t using it. After yet another 30 min doomscroll on a bus last month, point 1 came into the picture and I changed how Open Paper Digest worked. That’s what you can see today!How it works It is checking Huggingface Trending Papers and the large research labs daily to find papers to add to the index. The PDFs gets converted to markdown using Mistral OCR, this is then given to Gemini 2.5 to create a 5 minute summary.I notice that I am now going to the site daily, so that’s a good sign. I’m curious what you all think, and what feedback you might have.Cheers, Arthur

Enrichment

Theme
interactive simulations and creative experiments
Vertical
Education
Function
Search & retrieval
Audience
B2C
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
infinite scroll interface for research papers
Manually corrected
False

Could you build this?

Yes Open Paper Digest is an arXiv/semantic-scholar crawler that summarizes papers using an LLM API and presents them in a mobile-friendly infinite scroll feed.

Discussion

9 comments analyzed.

Competitors mentioned: Huggingface Trending Papers, arXiv feeds, academic paper recommendation services

Concerns raised: AI agents scraping data for training, inflating inference costs, Constraining topics to only trending papers limits coverage, Difficulty getting user interest signals without proper mechanisms, Risk needing VC funding to sustain against scraping

Feature requests: Tagging system to filter papers by topic/venue (NeurIPS, etc.), Expand to non-AI research papers, Anti-bubbling: show less of frequently consumed topics, Trending papers as separate tab with ranking, Search-driven feed ('read about X')

Competitors

Other products that read as similar to this one — 154 launches clear the similarity bar, closest 8 shown.

Attention rank: #67 of 155 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 32 days after the earliest competitor.

Other launches for this product