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RDST

A local agent that watches Postgres/MySQL for query regressions

AGNTAI Agents·HNShow HN

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60 (0.0%)

points · traction gained Oct 17, 02:39 UTC → Oct 17, 13:13 UTC

Still tracked: re-read by each daily run while under ~168h old (window closes ~Oct 22, 18:09 UTC).

comments · buzz 0 in latest interval

listed Oct 15, 18:09 UTC

Traction (points) over time

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

Key statistics

Traction: 6points
Comments
Rank in AGNT this week: #19of 172 HN
Rank overall this week: #93of 993 HN
Sector hit rate: 7.8%14/179 · 7D
Traction line: Below10+ points
First reading: 6Oct 16, 14:01 UTC
Last reading: 6Oct 17, 13:13 UTC
Readings: 3over 43h

Launch-day race · #12 of 170 Show HN launches on 2026-10-15

#10How to Use LLMs6 points
#11Endo6 points
#12RDST6 points
#13Pi subagents Lite5 points
#14Theorem5 points

All launches on 2026-10-15 →

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<a href="https://launchindex.ai/product/20095" target="_blank"><img src="https://launchindex.ai/badge/20095" alt="RDST on Launch Index" height="54" /></a>

Discussion HNHacker News·2 comments

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