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I built a macOS screensaver that reacts to AI coding agents

AGNTAI Agents·HNShow HN

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points · traction gained Oct 17, 02:39 UTC → Oct 17, 13:13 UTC · % shown only when the previous traction was 5+

Still tracked: re-read by each daily run while under ~168h old (window closes ~Oct 17, 21:39 UTC).

comments · buzz 0 in latest interval

listed Oct 10, 21:39 UTC

Traction (points) over time

8 readings (one per daily ingest run). Dots are recorded values; lines just connect them — nothing in between is measured.

Key statistics

Traction: 1points
Comments: 0
Rank in AGNT this week: #93of 172 HN
Rank overall this week: #572of 993 HN
Sector hit rate: 7.8%14/179 · 7D
Traction line: Below10+ points
First reading: 1Oct 11, 15:36 UTC
Last reading: 1Oct 17, 13:13 UTC
Readings: 8over 160h

Launch-day race · #72 of 80 Show HN launches on 2026-10-10

#70Open-Source Canva Alternative1 points
#71Teasr1 points
#72I built a macOS screensaver that reacts to AI coding agents1 points
#73prx1 points
#74Tutor, a self-hosted LLM tutor that teaches you your books or docs1 points

All launches on 2026-10-10 →

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I built a macOS screensaver that reacts to AI coding agents on Launch Index

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Discussion HNHacker News·0 comments

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How comments are shown

Same layout for Show HN and Product Hunt, converted to plain text (formatting removed, links kept).
Times are in your local time; hover a time for the exact date.
Top-level comments first, oldest first, each followed by its direct replies (indented one level).
Product Hunt comments by the product's makers are labelled “Maker”.
Fetched live from the original site (cached ~15 min), never stored here. Long comments are excerpts — the full text and thread are on the original site.

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Data as of Oct 17, 2026, 12:21 PM UTC. Sector comes from keyword rules on the title and tagline and can be wrong. How it works