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ID

Lin Qiao

@lqiao · Redwood City, CA · joined 28 Jun 2009

Cofounder and CEO of @FireworksAI_HQ

220 272Followers
248Following
605Posts total
497.9KViews on collected posts

Postingan terbaru

Congrats @huggingface and @NVIDIAAI for this merge to strengthen open model ecosystem! 7.9K views · 61 likes · 2 reposts · 4 replies Open on X →
Excited for open model drops in Sept. 2 big ones. Very balanced. 77.9K views · 732 likes · 20 reposts · 32 replies Open on X →
Real cost matters! Per token is meaningless. Real cost goes beyond caching. API verbosity and accuracy matter too. An API 2x more verbose is 2x more tokens and cost. An API less accurate, compounding over hundreds of turns, is costly for end users to keep asking agents to 14.5K views · 92 likes · 7 reposts · 9 replies Open on X →
same model. same list price. 5.7x apart in real cost. glm-5.2 across 6 hosts: @FireworksAI_HQ 18% of list @sferenceai 30% @tensorx_ai 43% @nebiustf 100%, caches nothing the price sheet tells you almost nothing. cache hit rate is the price. https://t.co/ZZDgS2wPnf 48.9K views · 126 likes · 12 reposts · 16 replies Open on X →
GLM-5.3-Flash is live on Fireworks. Day 2. Why not Day 0? Because being first isn't the goal. Being correct is. We unplugged peculiar behaviors of over-thinking from the initial tests, and shared all fixes back to open source. Quality trumps hype. Let's hold a high quality 41.2K views · 212 likes · 6 reposts · 21 replies Open on X →
GLM-5.3-Flash is live on Fireworks on day… 2 Why? Because we take quality very seriously. We found a benchmark discrepancy we couldn’t explain, so we delayed the launch to investigate. Day 0 (Wed): we saw 2x longer thinking on reasoning-heavy benchmarks (AIME & GPQA) for open h 87.9K views · 451 likes · 21 reposts · 28 replies Open on X →
As many of you guessed, it’s GLM-5.3-flash. 3.1K views · 10 likes · 0 reposts · 1 replies Open on X →
@lqiao i won't tell anyone you can gimme name kek 10.7K views · 19 likes · 0 reposts · 1 replies Open on X →
Excited about Ox Alpha, knowing which model it is. Will get it on Fireworks. 205.8K views · 1.4K likes · 22 reposts · 94 replies Open on X →

Dibandingkan akun berukuran sama

9 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan41 244akun ini5 000median untuk 100K–1M
Jangkauan, %18.72%akun ini1.74%median untuk 100K–1M
Interaksi, %0.59%akun ini1.22%median untuk 100K–1M
MetrikAkun iniMedian untuk 100K–1MRasio
Median tayangan per postingan41 2445 0008.25×
Jangkauan (tayangan ÷ pengikut)18.72%1.74%10.8×
Tingkat interaksi0.59%1.22%0.49×

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

205.8K25 Aug
10.7K
3.1K26 Aug
87.9K29 Aug
41.2K
48.9K30 Aug
14.5K31 Aug
77.9K2 Sep
7.9K3 Sep

Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.73%25 Aug
0.19%
0.35%26 Aug
0.58%29 Aug
0.59%
0.33%30 Aug
0.76%31 Aug
1.02%2 Sep
0.85%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.22%.

What the audience does

Likes82.1%3 080 in total
Reposts2.4%90 in total
Replies5.5%206 in total
Quotes1.3%47 in total
Bookmarks8.7%328 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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