steve jang ✓

@stevejang · san francisco, ca · joined 24 Feb 2008

entrepreneur, now vc | founder & partner @kindredventures | early investor 🌱 @uber @coinbase @perplexity_ai @fal @nuro @get_hydrahost @aaloatomics @parasail_io

42 485Followers

4 327Following

19 717Posts total

118.4KViews on collected posts

โพสต์ล่าสุด

steve jang ✓@stevejang3 Sep

to frame: in this experiment, GLP-1s had an effect on longevity, that in scale proportions would add roughly 12% to human lifespan. 1.6K views · 4 likes · 0 reposts · 0 replies Open on X →

steve jang ✓@stevejang3 Sep

first, they made it 50x faster and higher ELO. then they made it 2x faster and 50% lower cost, with essentially the same quality. the velocity of progress in gen video is the thing. @fal is cookin 🔥🔥🔥🔥🔥 3.4K views · 60 likes · 6 reposts · 8 replies Open on X →

steve jang ✓@stevejang1 Sep

this is the future of personal computing, even enterprise computing longer term. tbf, we have already been on this hybrid path in the cpu workload era with our devices, but the demand for inference has vastly changed the runtime balance of cost, privacy, and risk. no doubt that 5.4K views · 49 likes · 4 reposts · 8 replies Open on X →

steve jang ✓@stevejang1 Sep

frontier llm + @fal’s h3 max is a winner. the prompt adherence in the style, quality of the narrative and script, and scene by scene consistency👌🏽👌🏽👌🏽 2.7K views · 35 likes · 1 reposts · 0 replies Open on X →

steve jang ✓@stevejang31 Aug

Played a little bit with H3 Max by @fal + Opus 5 and one-shotted this 5 min cartoon in 15 mins. Cartoons are solved https://t.co/fIK8TPeoFg 105.3K views · 1.1K likes · 80 reposts · 65 replies Open on X →

steve jang ✓@stevejang15 May 2016

If you hit a wrong note, it's the next note that you play that determines if its's good or bad. -Miles Davis 🎺 0 views · 1.4K likes · 355 reposts · 68 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

5 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน3 431บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %8.08%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.21%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	3 431	924	3.71×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	8.08%	3.62%	2.23×
อัตราการมีส่วนร่วม	1.21%	1.52%	0.79×

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

105.3K31 Aug

2.7K1 Sep

5.4K

3.4K3 Sep

1.6K

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.21%31 Aug

1.35%1 Sep

1.13%

2.16%3 Sep

0.25%

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

What the audience does

Likes84.6%1 245 in total

Reposts6.2%91 in total

Replies5.5%81 in total

Quotes1.8%27 in total

Bookmarks1.9%28 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.