Selina ✓

@selinatasnim1 · Austin, TX · joined 21 Dec 2024

AI & Tech Expert | Helping brands grow with AI 🤖 Open for Collaboration 📥 DM or email: selinatasnim1@gmail.com📩

29 702Followers

38Following

106 946Posts total

154.1KViews on collected posts

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Selina ✓@selinatasnim117 Sep

This makes AI-powered video editing feel a lot more approachable. GPT-6 Astra + DaVinci MCP is a seriously powerful combo, especially for creators who want to turn their existing footage into polished content without a complicated workflow. Excited to see what people build with 1K views · 24 likes · 15 reposts · 10 replies Open on X →

Selina ✓@selinatasnim117 Sep

124B parameters on a 128GB desktop GPU sounded crazy. Then people actually tried it. The impressive part isn't one headline number. It's the amount of engineering that happened after the first successful run: quantization, kernels, MTP, KV cache, memory profiling, and vLLM 872 views · 22 likes · 14 reposts · 7 replies Open on X →

Selina ✓@selinatasnim115 Sep

after the official int4 and fp4 numbers dropped, i went through all 70 posts of the nvidia developer forum thread on running ling-3.0 flash on one dgx spark. the real story is better than any benchmark screenshot, so here it is, with their numbers and mine. 🧵 149.1K views · 47 likes · 6 reposts · 16 replies Open on X →

Selina ✓@selinatasnim115 Sep

Quantization isn't just an optimization detail. It can shape what you can actually deploy. Ling-3.0-flash-Fin now supports FP8, FP4 and INT4, giving developers more flexibility to balance memory, infrastructure and efficiency. Another step toward making financial AI . 858 views · 42 likes · 29 reposts · 12 replies Open on X →

Selina ✓@selinatasnim115 Sep

This week, I reached for a tool and realized it didn’t have MCP support. Instead of thinking twice, I simply switched to another way to get the job done. It’s interesting how quickly that’s becoming my default instinct. 833 views · 1 likes · 1 reposts · 0 replies Open on X →

Selina ✓@selinatasnim115 Sep

Produced by GPT Image 2 Prompt: A photorealistic candid outdoor portrait of a young woman standing outside a cozy urban café on a rainy afternoon. She has long dark-brown hair styled in a loose low ponytail, with a few soft face-framing strands naturally falling across her http

1.3K views · 41 likes · 27 reposts · 15 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม การเข้าถึงปกติสำหรับขนาดนี้ แต่การตอบสนองแรงกว่าส่วนใหญ่.

ยอดดูมัธยฐาน960บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %3.23%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %4.80%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	960	924	1.04×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	3.23%	3.62%	0.89×
อัตราการมีส่วนร่วม	4.80%	1.52%	3.16×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

1.3K15 Sep

833

858

149.1K

87217 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

6.26%15 Sep

0.24%

9.67%

0.06%

4.93%17 Sep

4.67%

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

What the audience does

Likes45.5%177 in total

Reposts23.7%92 in total

Replies15.4%60 in total

Quotes4.1%16 in total

Bookmarks11.3%44 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

บัญชีที่คล้ายกัน