jefflau.eth ✓
@Jefflau · joined 22 Dec 2010
Co-founder and CTO @ensdomains. Distilling the complicated into the simple
11 507Followers
746Following
12 231Posts total
4.6KViews on collected posts
Latest posts
Looking for new posts…
Ironically, I started my career with php and wordpress and spent hours and hours watching @chriscoyier doing videos on @css. After hundreds of hours building wordpress sites, the loop and query posts still confuses me to this day. Maybe with AI it can finally make sense.
479 views · 2 likes
· 0 reposts · 0 replies
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@mewwts And no matter what language you wrote, everyone would always shit on php and wordpress
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Been following @25YearsAgoLive for a while. But today’s tweets are crazy good. Play by play of september 11th as if twitter was around back then
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@Jefflau Completion notifications are exactly what keeps remote agents from becoming another tab you babysit
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@Jefflau gonna test this on my setup later
284 views · 12 likes
· 1 reposts · 11 replies
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I was having issues with grokbot limits, so I moved any coding over to grok build instead on my remote mac mini.
But my bots kept going dark and not notifying me when their remote agents completed. So I built a small herdr plugin that posts to grokbot's native webhooks that
777 views · 17 likes
· 1 reposts · 14 replies
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I feel fortunate to be born in a time where the internet was in its infancy and I can fully appreciate having so much power at my fingertips really is.
Where we go from here I can only imagine, but it’s an exciting time to be alive.
138 views · 7 likes
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The bottleneck is no longer if you can write code anymore. This makes personal software accessible to almost everyone. It makes the internet of information infinitely more accessible than “just” a simple search engine like google.
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One thing I heard from @dabit3 last night is that @ScottWu46 thinks that AI is to software what the printing press was to books. It enabled the majority of people to eventually become literate. And now everyone has the power of becoming an author of software.
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QA has always been automated, but the amount of testing that be done now is unparalleled. But on top of that with so much productivity, the burden on the QA department is also massive.
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Product is changing too. When you are given the traditional engineering power of 10 people on a $200 subscription, the leverage you have to test and build ideas is extraordinary. You can afford to be wrong, to experiment. Design can be higher fidelity or even in code.
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Does this mean the end of the traditional software engineer? Maybe. Engineers have to be more aware or the whole, guiding the AI, which is closer to what a senior or lead engineer does. But on the other side, there is space for young interns who do amazing things with dozens of
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As someone that manages engineers, AI is one of the most transformative technologies in my lifetime. We see the trifecta of product, engineering and QA being changed to have humans more on the edges, deciding more on the taste (product) and testing if the product works (qa)
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Thread of my threads distilling the complicated into the simple.
Previous topics include:
- Zero Knowledge Proofs
- EIP-1559
- Rollups
- ETH2 and the merge
I’ll add new threads here for easy referencing for myself and others.
0 views · 557 likes
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Against accounts of the same size
13 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.
Median views238this account924median for 10K–100K
Reach, %2.07%this account3.62%median for 10K–100K
Engagement, %3.40%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 238 | 924 | 0.26× |
| Reach (views ÷ followers) | 2.07% | 3.62% | 0.57× |
| Engagement rate | 3.40% | 1.52% | 2.23× |
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
1.3K2 Sep
238
130
88
206
141
138
777
2843 Sep
35 Sep
34011 Sep
50312 Sep
479
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
2.95%2 Sep
2.94%
4.62%
5.68%
3.40%
3.55%
5.80%
4.12%
8.45%3 Sep
0.00%5 Sep
0.59%11 Sep
0.80%12 Sep
0.42%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes61.3%87 in total
Reposts1.4%2 in total
Replies35.9%51 in total
Bookmarks1.4%2 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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