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Noisy

@noisyb0y1 · X · joined 14 Sep 2022

DEV 4 yrs exp

27 022Followers
787Following
22 829Posts total
691.9KViews on collected posts

Latest posts

He's 17 built an LLM system in 60 minutes from one file and sold it for $100k - and came to Stanford to show how: 00:23 - how to build an LLM system from scratch in 60 minutes 12:34 - Claude Code builds a $100k system 43:47 - 5 types of LLM systems Microsoft and Anthropic will h
78:30
3.6K views · 31 likes · 4 reposts · 6 replies Open on X →
https://t.co/qce21N7Cri 16.3K views · 42 likes · 4 reposts · 4 replies Open on X →
She is 18 built a system of AI agents with Opus 5 and sold it to Anthropic for $2.4M - and came to Stanford to show how to repeat it from scratch: 00:30 - how Opus 5 builds 5 agents people pay $2.4M for 13:34 - a no-code system replaced 40 Anthropic engineers 32:47 - from first
71:07
3K views · 40 likes · 3 reposts · 10 replies Open on X →
She's 18 built an AI agent with Opus 5 and sold it to Anthropic for $3.2M - and came to Stanford to show how to do it from scratch: 00:34 - how Opus 5 builds a $3.2M agent in one evening 15:34 - 4 agents replaced 400 Anthropic engineers 34:47 - from first prompt to a $3.2M check
63:22
226K views · 1.5K likes · 315 reposts · 46 replies Open on X →
She is 17 built an AI system that generates music and art and made $2.2M in a year - and at Stanford shared how to repeat it from scratch: 00:31 - how Opus 5 generates music and art worth $100k with one prompt 38:34 - the system sold 100+ tracks and artworks without any ads http
63:22
5.9K views · 72 likes · 8 reposts · 12 replies Open on X →
@noisyb0y1 Amazing breakdown bro 178 views · 1 likes · 0 reposts · 0 replies Open on X →
@noisyb0y1 A 60-minute demo can prove a workflow is possible. Real confidence comes after merchant data, retries, permissions and support load survive actual use. I’d trust the business when those boring paths hold up. 297 views · 1 likes · 0 reposts · 0 replies Open on X →
@noisyb0y1 this is amazing 1.5K views · 2 likes · 0 reposts · 0 replies Open on X →
https://t.co/YW9lP80DIO 435.1K views · 165 likes · 22 reposts · 13 replies Open on X →

Against accounts of the same size

9 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views3 616this account993median for 10K–100K
Reach, %13.38%this account3.86%median for 10K–100K
Engagement, %0.56%this account1.53%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post3 6169933.64×
Reach (views ÷ followers)13.38%3.86%3.47×
Engagement rate0.56%1.53%0.37×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

435.1K12 Sep
1.5K
297
17815 Sep
5.9K16 Sep
226K17 Sep
3K18 Sep
16.3K19 Sep
3.6K

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

0.05%12 Sep
0.13%
0.34%
0.56%15 Sep
1.56%16 Sep
0.82%17 Sep
1.79%18 Sep
0.34%19 Sep
1.13%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes25.3%1 827 in total
Reposts4.9%356 in total
Replies1.3%91 in total
Quotes0.5%37 in total
Bookmarks68.0%4 922 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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