How fast RunanywhereAI/trnrt is gaining stars, and where it lands on Trendshift and GitHub Trending
Activity and trending
Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending
Nov 3 – Nov 10, 2026
Stars +640in 8 days
0200400
365
Forks +2in 8 days
012
2
Merged PRs 16in 8 days
0246
6
Trendshift Trendingwhere the repository ranked each day it made the top 25
Not in the Trendshift top 25 in this period
Nov 3Nov 4Nov 5Nov 6Nov 7Nov 8Nov 9Nov 10
The left and right arrow keys step from day to day; Home and End go to the first and the last
Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day
Stars gained
Forks gained
Merged PRs
Tue, Nov 3, 2026
+0
+0
3
Wed, Nov 4, 2026
+5
+0
5
Thu, Nov 5, 2026
+1
+0
0
Fri, Nov 6, 2026
+1
+0
0
Sat, Nov 7, 2026
+0
+2
2
Sun, Nov 8, 2026
+3
+0
6
Mon, Nov 9, 2026
+265
+0
0
Tue, Nov 10, 2026
+365
+0
0
Total
+640
+2
16
1#1 on the list
7Rank that day
Not trending
Social mentions
Recent discussions about this repository across the web
1 post
Each GLM-5.3-Flash layer used to run as a chain of small kernels with compiler glue in between. We rewrote every layer as combination of two megakernels making it 3.66x faster
Run the full 2.78-trillion-parameter Kimi K3 model, DeepSeek V4.1 Flash or GLM-5.3-Flash beyond available RAM by streaming activated weights directly from NVMe. A dependency-free, embeddable C inference engine.
