spect ✓

@spectnfa · web · joined 31 Aug 2015

a girl who loves AI and tech. dms are open.

12 664Followers

12 509Following

2 489Posts total

571.2KViews on collected posts

โพสต์ล่าสุด

spect ✓@spectnfa20 Sep

Cursor field engineer just dropped a free 1-hour course on mastering Grok Bot From one prompt to a team of agents that run while your laptop is closed: 0% → 00:00 - learn how Grok Bot agents work: memory, plugins, own computer 25% → 14:49 - teach a bot a new skill by https://t.

62:15

6.6K views · 71 likes · 7 reposts · 14 replies Open on X →

spect ✓@spectnfa20 Sep

SpaceX AI's growth lead built a bot to replace himself. I turned his session into a 14-page PDF. He started with six bots. One job each. → researcher, product marketer, website ops, performance, analyst → each one takes the handoff from the one before it → he leaves comments ht

169.2K views · 107 likes · 12 reposts · 23 replies Open on X →

spect ✓@spectnfa19 Sep

Two SpaceX AI engineers stopped hiring for their product team. They built it in Grok Bot instead. This free 33-min workshop shows how: 5% → 01:15 - how to turn an agent into a colleague 25% → 08:52 - one bot that manages five engineer bots 60% → 20:14 - the bot that catches htt

33:36

3K views · 48 likes · 2 reposts · 8 replies Open on X →

spect ✓@spectnfa19 Sep

Three SpaceX engineers streamed 72 hours of building a company from an empty repo. I turned those streams into a 24-page PDF. What's in the PDF: → The full 3-day timeline, hour by hour, as one story → Teammates, not tasks - the model that made the bots actually work → Every htt

118.5K views · 869 likes · 115 reposts · 40 replies Open on X →

spect ✓@spectnfa18 Sep

A SpaceX engineer just dropped a 1-hour workshop "I woke up today and there were 20 PRs landed. And they were good. I don't really look at the code anymore" 0% → 09:55 - why verification is the only skill that matters 20% → 14:10 - build a feature map so agents can navigate ht

52:45

35.9K views · 245 likes · 33 reposts · 14 replies Open on X →

spect ✓@spectnfa18 Sep

Three xAI engineers built a company from an empty repo in 72 hours, live on stream. I turned all three streams into one GitHub repo. → AGENTS.md - drop it in your repo root, your agent reads it and stops guessing → 40 antipatterns - everything that broke on air, why, and the htt

0:50

189.7K views · 378 likes · 50 reposts · 38 replies Open on X →

spect ✓@spectnfa17 Sep

SpaceX engineers just dropped a free 1-hour course on building a team of AI agents From chatbots to AI coworkers 👇 0% → 00:00 - stop using AI like a chatbot 20% → 11:15 - automate apps that have no API 40% → 22:05 - make agents split work without you 60% → 33:08 - fix a https:/

56:26

8.6K views · 104 likes · 12 reposts · 20 replies Open on X →

spect ✓@spectnfa16 Sep

Anthropic engineer: "The longer your agent runs, the more expensive its mistakes get" "So we build verification into the artifact itself" In 28 minutes, he shows how the Claude Code team runs agents that check their own work Prompts → Loops → Graphs → Self-Verifying https://t

28:38

39.6K views · 183 likes · 14 reposts · 13 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

8 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน37 766บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %298.21%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.85%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	37 766	924	40.9×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	3.0× audience	3.62%	82.4×
อัตราการมีส่วนร่วม	0.85%	1.52%	0.56×

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

39.6K16 Sep

8.6K17 Sep

189.7K18 Sep

35.9K

118.5K19 Sep

169.2K20 Sep

6.6K

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

0.53%16 Sep

1.57%17 Sep

0.25%18 Sep

0.82%

0.87%19 Sep

1.95%

0.09%20 Sep

1.40%

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

What the audience does

Likes33.2%2 005 in total

Reposts4.1%245 in total

Replies2.8%170 in total

Quotes0.5%31 in total

Bookmarks59.4%3 585 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.