Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM
4 comments
- Points17
- Comments8
–Rank now
#27Peak rank
1Days on list
5Score · 7d
Nov 10, 2026First seen
Rank · 7 days
On Hacker News
- Points
- 17
- Comments
- 8
- Submitted by
- anushka_gandhi
- Posted
- Nov 10, 2026
- Site
- neuracryption.com
Story details from Hacker News ↗ · linked article on neuracryption.com.
Trending history
Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM was first seen on Hacker News · Front page on Nov 10, 2026. Since then it has appeared in 2 checks on 1 different day. Its best position was #27 of 30, reached on Nov 10, 14:24 UTC. It dropped off the list after Nov 10, 14:24 UTC.
Rank history
Position on Hacker News · Front page at every check (lower is better).
Last 14 days
Best rank per day (UTC).
27
Oct 28today
Metric history
Platform metric as reported by Hacker News.
From the discussion
A few top-level comments from Hacker News, shortened. Read the full thread on Hacker News.
So this is very good for making local models more accessible, right?
I know a gen AI UI when I see one and this has all of the red flags. Hate to say it but I feel like that compromises the legitimacy of this
Is it possible to be used on bigger models with the same gains?
Featured in
Archived daily, weekly and monthly lists that include this entry.
Hacker News 1 day, best #27
Questions
Is Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM trending on Hacker News right now?
Not at the moment. It was last on the list on Nov 10, 14:24 UTC, after 1 day of trending.
What is the highest rank Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM reached?
#27 on Hacker News · Front page, on Nov 10, 14:24 UTC. Trendoday checks this list every 15 minutes.
How long has Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM been trending?
It was first seen on Nov 10, 2026 and has been on the list on 1 day (2 checks) since.
How much discussion did it get on Hacker News?
17 points and 8 comments; submitted by anushka_gandhi on Nov 10, 2026.