DOLAK1NG ✓
@DOLAK1NG · joined 13 May 2021
Defi Research Educator | Enhancing your success in Decentralized Finance.
15 463Followers
370Following
22 562Posts total
105.7KViews on collected posts
Posts recentes
Procurando novos posts…
So what does @axisrobotics actually sell?
It would be easy to say “robot data,” but that doesn't really capture what they're building.
Axis's core commercial unit is the Task Package: a structured bundle built around a specific task a robot needs to learn.
Think about https:/
10.6K views · 161 likes
· 37 reposts · 38 replies
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A human can fix a robot without actually teaching it anything.
That sounds strange at first.
But it’s one of the more interesting things @axisrobotics has been finding with V2.
When a robot starts to fail, a human can take control, correct the mistake, and finish the task. htt
8K views · 75 likes
· 4 reposts · 12 replies
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We talk a lot about AI agents doing work.
But the more interesting question is:
How does one agent actually do business with another?
Ride with me 🧵👇
Imagine a trading agent needs a smart-contract audit. It could find an agent that claims to be good at security and simply htt
11.9K views · 144 likes
· 10 reposts · 36 replies
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@DOLAK1NG @axisrobotics Axis V2 is working with the "try first and perfect it later" ideology honestly.
That's a solid one.
27 views · 1 likes
· 0 reposts · 0 replies
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What’s an AI agent’s reputation worth if nobody can take it with them?
That’s one of the problems I keep coming back to when I think about an agent economy.
Today, an agent’s history is usually trapped inside whatever platform it happens to live on.
You might know that an http
8.4K views · 103 likes
· 20 reposts · 44 replies
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@DOLAK1NG @axisrobotics Axis V2 season is loading 🟠🔥
5 views · 1 likes
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@DOLAK1NG @axisrobotics Axis is turning failure into a training advantage.
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One thing I find particularly interesting about @axisrobotics is how they think about failure.
For most robots, failure is the point where the experiment ends.
For Axis, it can be where the next training cycle begins.
That's the thinking behind Axis V2.
Instead of collecting
14.9K views · 148 likes
· 19 reposts · 42 replies
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AI agents are getting very good at doing things.
Writing code. Researching markets. Analyzing data. Creating content. Running workflows.
But there’s a problem we don’t talk about enough:
What happens when an agent needs to hire another agent?
It can’t just send a prompt and h
12.7K views · 88 likes
· 7 reposts · 35 replies
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Most datasets are built like a warehouse.
You collect data, Store it, Train a model. Then start collecting again.
Axis Robotics is building a data engine that learns what data it needs next.
Here's the loop 👇🧵
@axisrobotics generates a task and collects demonstrations https:/
13.6K views · 127 likes
· 17 reposts · 46 replies
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@DOLAK1NG @SamuelXeus The chain have been on fire since it went live
627 views · 4 likes
· 0 reposts · 2 replies
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Tagging Gigachads that might be interested in this 👇
- @SamuelXeus
- @thesaint_
- @izu_crypt
- @Simple_simeon
- @RubiksWeb3
- @poopmandefi
- @DigiTektrades
- @Farmercist
- @zerokn0wledge_
- @stacy_muur
- @Defi_Warhol
- @splinter0n
- @belizardd
- @Eli5defi
-
707 views · 9 likes
· 0 reposts · 0 replies
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Robinhood built its own blockchain.
Over $250M in TVL. More than $1B in volume, nearly 350,000 active addresses.
If you've never really looked at what Robinhood is doing in crypto, this is your sign to start.
Here's the whole thing, plainly 🧵👇
Robinhood Chain launched July ht
24.1K views · 168 likes
· 27 reposts · 46 replies
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Em comparação com contas do mesmo porte
13 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para mais gente do que contas do mesmo porte.
Mediana de visualizações8 404esta conta918mediana para 10K–100K
Alcance, %54.35%esta conta3.39%mediana para 10K–100K
Engajamento, %1.41%esta conta1.53%mediana para 10K–100K
| Métrica | Esta conta | Mediana para 10K–100K | Proporção |
|---|---|---|---|
| Mediana de visualizações por post | 8 404 | 918 | 9.15× |
| Alcance (visualizações ÷ seguidores) | 54.35% | 3.39% | 16.0× |
| Taxa de engajamento | 1.41% | 1.53% | 0.92× |
Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →
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
24.1K12 Jul
707
627
13.6K7 Sep
12.7K10 Sep
14.9K11 Sep
19
5
8.4K
27
11.9K15 Sep
8K
10.6K16 Sep
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
1.01%12 Jul
1.27%
0.96%
1.41%7 Sep
1.03%10 Sep
1.41%11 Sep
5.26%
20.00%
1.99%
3.70%
1.59%15 Sep
1.15%
2.23%16 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.
What the audience does
Likes66.2%1 030 in total
Reposts9.1%141 in total
Replies19.4%301 in total
Quotes0.5%8 in total
Bookmarks4.8%75 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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