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Capcat

CLI/TUI to Archive Articles as Markdown and HTML (FOSS)

Details

External ID
48768276
Source
HN
Company
—
Product
Capcat
Website domain
capcat.org
Launched
July 2, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1081242532855436
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Capcat is a python based CLI/TUI FOSS utility for Ethical archiving of given website or RSS source.The github repo: https://github.com/stayukasabov/capcatIt is generated with NLP, context-engineering, spec-driven development and LLMs.Fully functional at http://capcat.org, with instructions for usage and documentation.The project started from my personal needs of simple archiving with structure and moved to product design/MVP exercise.I am longtime HN user, and the most value I got in years of reading is always deep in the comments section.For HN Capcat uses the official API, with rate-limits, identifies honesty with clear user agent and skips paywalled content. All usernames are anonymized with a link to the user profile.The content is delivered in Markdown format (Obsidian ready with frontmatter) and optional HTML with dark/light themes. Every source has its own YAML config file for separate control and PDF size limiter. In the folder users have an option to change the HTML theme with a minimal CSS design-system.Please consider that my focus as a product designer is in UX. I have enough of a general culture and software development principles but the code is not validated, and my decisions in building may have a limitation.Feedback is welcomed. Thanks in advance.

Enrichment

Theme
markdown editors and writing tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
archive articles as markdown and html
Manually corrected
False

Could you build this?

Yes Capcat is a standard CLI/TUI written in Python to fetch RSS/HTML and convert to Markdown, an archetypal vibe-coding task that was explicitly created using LLMs.

Discussion

2 comments analyzed.

Competitors

Other products that read as similar to this one — 59 launches clear the similarity bar, closest 8 shown.

Attention rank: #55 of 60 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 212 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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