Metis🌿 ✓
@MetisL2 · Andromeda · joined 04 Aug 2020
AI Aligned, Human Defined.
209 840Followers
741Following
17 609Posts total
342.4KViews on collected posts
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In Part 2 of our From Demo to Demand workshop, @GOATNetwork CMO @0x1164 shared how founders can turn AI into their own marketing department. With the right AI workflow, one founder can cover content, design, research, analysis, and community support — without needing a full team
6K views · 53 likes
· 13 reposts · 5 replies
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1:26
Superintelligence isn't the hard part.
The hard part is: how do you connect a model that can reason about anything to a workflow that actually gets done?
Every breakthrough model hits the same wall — it can think, but it can't execute.
6.4K views · 41 likes
· 12 reposts · 3 replies
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@MetisL2 @mpost_io @tomngodefi I’ve seen firsthand how collaboration can amplify impact. At ETH Zurich last year, cross-network projects led to faster solutions on privacy and scalability.
11 views · 0 likes
· 0 reposts · 0 replies
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@MetisL2 @mpost_io @tomngodefi Only 10 million supply
44 views · 0 likes
· 0 reposts · 0 replies
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At HSC Conference @mpost_io, Metis CEO @tomngodefi shared where the industry is heading: networks with different tech stacks working together, not competing in isolation.
Privacy, transactions, settlement; each ecosystem brings its own strength.
The next phase of Web3 isn't http
6.6K views · 46 likes
· 14 reposts · 2 replies
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0:49
This is a chilling reminder that AI agents don’t just need capabilities — they need boundaries.
When agents can autonomously discover and share exploits, sandboxing, permissions, and trust layers become critical infrastructure.
6.2K views · 41 likes
· 13 reposts · 0 replies
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I didn’t understand what was happening with the agent wikis until reading this, chilling
to bypass sandbox restrictions, an agent found an exempt domain, edited /etc/hosts to route arbitrary domains to it & then posted this exploit on a German wiki for other agents to use https:
298.1K views · 1.6K likes
· 99 reposts · 60 replies
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@MetisL2 Specialization beats stuffing every task into one giant prompt.
33 views · 0 likes
· 0 reposts · 0 replies
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From one Claw to an entire agent team, ClawUp brings everything together.
Build. Deploy. Connect. Scale.
Explore ↓ https://t.co/OJsZF8qVOM
1.2K views · 6 likes
· 0 reposts · 0 replies
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Your AI Agent Stack, All in One Place.
@ClawUpAI makes it simple to deploy, connect, and scale AI agents — without the infrastructure hassle.
⚡ One-click Hermes deployment
🧠 Memory inheritance
🛠 MCP + Hermes Agent Hooks
💬 Multi-channel support
🤝 Multi-Agent Teams
🔗 https://t.co/
8K views · 42 likes
· 5 reposts · 4 replies
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@MetisL2 how does ClawUp prevent parallel agents from duplicating the same research when they delegate tasks?
i’d want to see the coordination overhead compared with one context window.
138 views · 0 likes
· 0 reposts · 1 replies
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Most AI workflows still rely on a single agent to research, write, and review everything in one context window. ClawUp takes a different approach with multi-agent teams, where specialized agents collaborate, delegate tasks, and work in parallel. https://t.co/fNt78R3smc
9.7K views · 56 likes
· 7 reposts · 4 replies
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Im Vergleich zu Konten gleicher Größe
13 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.
Medianaufrufe6 019dieses Konto6 020Median für 100K–1M
Reichweite, %2.87%dieses Konto1.61%Median für 100K–1M
Interaktion, %0.64%dieses Konto1.04%Median für 100K–1M
| Kennzahl | Dieses Konto | Median für 100K–1M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 6 019 | 6 020 | 1.00× |
| Reichweite (Aufrufe ÷ Follower) | 2.87% | 1.61% | 1.78× |
| Interaktionsrate | 0.64% | 1.04% | 0.61× |
Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →
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
9.7K1 Sep
138
8K4 Sep
1.2K
336 Sep
41
298.1K9 Sep
6.2K
6.6K10 Sep
44
11
6.4K
6K11 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
0.69%1 Sep
0.72%
0.64%4 Sep
0.51%
0.00%6 Sep
0.00%
0.60%9 Sep
0.88%
0.94%10 Sep
0.00%
0.00%
0.88%
1.18%11 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.04%.
What the audience does
Likes88.7%1 929 in total
Reposts7.5%163 in total
Replies3.6%79 in total
Bookmarks0.2%4 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
13 Sep
Daily snapshots since 13 Sep 2026; the dashed line is the starting count.
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