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Vaishnavi ✓

@_vmlops · joined 02 Dec 2024

Devops Engineer

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

Últimas publicaciones

@_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 →

Frente a cuentas del mismo tamaño

8 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. justo en la mediana de su rango de seguidores.

Visualizaciones medianas878esta cuenta924mediana de 10K–100K
Alcance, %4.11%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.38%esta cuenta1.52%mediana de 10K–100K
MétricaEsta cuentaMediana de 10K–100KProporción
Visualizaciones medianas por publicación8789240.95×
Alcance (visualizaciones ÷ seguidores)4.11%3.62%1.13×
Tasa de interacción1.38%1.52%0.91×

Otras cuentas de este rango →   Comparar con otra cuenta →   Cómo se construyen estas referencias →

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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