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ID

Vaishnavi ✓

@_vmlops · joined 02 Dec 2024

Devops Engineer

21 367Followers
568Following
12 194Posts total
7.3KViews on collected posts

Postingan terbaru

@_vmlops I feel this. By the time we learn one tool, interviews expect the next. If JEV doesn't improve latency, cost, or evaluation quality, it's just noise. 10 views · 0 likes · 0 reposts · 0 replies Open on X →
Fine-tuning an LLM on Kaggle with 2×T4 GPUs The Laya repo shows the full workflow for training on typed decisions from setup to fine-tuning This is the kind of notebook worth going through if you're learning LLM fine-tuning https://t.co/87NHiHpl9C
1.2K views · 8 likes · 0 reposts · 2 replies Open on X →
Google’s ARTEMIS is interesting Turns natural-language instructions into real Android automation no scripting, just tell it what to do. ▫️ 99%+ on AndroidWorld benchmark ▫️ Native MCP server plugs into Claude Code, Codex, Antigravity ▫️ Flash mode (~3-5s/step) + Pro mode for h
GIF
864 views · 13 likes · 0 reposts · 6 replies Open on X →
@_vmlops jev is just an optimization for a use case people have been building for a few years already it’s not that bad 35 views · 0 likes · 0 reposts · 0 replies Open on X →
ML engineering is 10% machine learning and 90% engineering... 👀 891 views · 21 likes · 0 reposts · 0 replies Open on X →
If you're prepping for system design interviews, this repo is gold A curated, systematic breakdown covering: → interview tips (clarify scope → high-level design → component design) → CDN, cache, URL shortener, news feed, chat, search & more → engineering blogs from top 1.4K views · 32 likes · 3 reposts · 0 replies Open on X →
@_vmlops I don’t count memorizing a one-week-old architecture as learning. Asking about JEV this early rewards whoever caught the launch, while everyone else keeps resetting what they were trying to get good at. 126 views · 1 likes · 0 reposts · 0 replies Open on X →
We’re more messed up than the job market at this point. 😭 We’re still figuring out what to learn & by the time we pick something, a new tool drops and suddenly it’s expected in interviews JEV has barely been out for a week and people are already asking, “Did you use it...? 2.8K views · 45 likes · 1 reposts · 7 replies Open on X →

Dibandingkan akun berukuran sama

8 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tepat di median untuk rentang pengikutnya.

Median tayangan878akun ini924median untuk 10K–100K
Jangkauan, %4.11%akun ini3.62%median untuk 10K–100K
Interaksi, %1.38%akun ini1.52%median untuk 10K–100K
MetrikAkun iniMedian untuk 10K–100KRasio
Median tayangan per postingan8789240.95×
Jangkauan (tayangan ÷ pengikut)4.11%3.62%1.13×
Tingkat interaksi1.38%1.52%0.91×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

2.8K21 Sep
126
1.4K
891
35
864
1.2K
10

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.90%21 Sep
0.79%
2.54%
2.36%
0.00%
2.20%
0.86%
0.00%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes57.1%120 in total
Reposts1.9%4 in total
Replies7.1%15 in total
Bookmarks33.8%71 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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