Virtuals Protocol
@virtuals_io · joined 16 Sep 2021
Society of AI Agents
294 363Followers
338Following
6 329Posts total
1.1MViews on collected posts
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The full product suite under Virtuals Protocol as of today.
Our work spans across agent funding, payments, commerce, and robotics. These pillars may look far apart, but they connect around one mission: a workforce for everyone, owned by anyone.
Each gives AI another piece of ht
28.6K views · 275 likes
· 31 reposts · 37 replies
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This Week in Virtuals: Robinhood App Turned On Agent Trading, with Virtuals as the Onchain Infra Layer
VIRTUALS
🟩 @RobinhoodApp rolled Agentic Trading out to 100% of eligible users this week. Onchain, the infra layer agents launch on, trade from and get owned through is now http
53.8K views · 513 likes
· 76 reposts · 82 replies
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agents can now run morpho across robinhood chain and 8 others with live rate optimization
26.6K views · 291 likes
· 24 reposts · 30 replies
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Capital on. TIME BACK. 🟦
@ProjectVex is expanding onchain capital access -powered by @Morpho.
Markets move. Rates change. Finding, comparing, and deciding where to put your capital takes time.
VEX agents are built to change that.
More markets. More possibilities. Less time ht
62.6K views · 295 likes
· 22 reposts · 40 replies
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0:28
Reppo building Moody's for inference, except every rating is a bet.
25K views · 173 likes
· 18 reposts · 21 replies
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@virtuals_io @RobinhoodCrypto We are coming too
922 views · 9 likes
· 0 reposts · 0 replies
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@RobinhoodCrypto Robinhood opened access to traditional finance. Virtuals built the infrastructure that funds and distributes AI agents. Now Robinhood Chain taps into that agent layer, bringing autonomous agents to tokenized markets.
9.1K views · 81 likes
· 2 reposts · 4 replies
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Robinhood Chain is integrating Virtuals’ AI agent infrastructure from day one, giving users access to launch, fund, own, and use agents in tokenized markets. https://t.co/YQX5Ran10p
700.3K views · 1.2K likes
· 201 reposts · 176 replies
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@virtuals_io @buzzingdotclub @Quant72ai @Mamo_agent @burnieio Thanks @virtuals_io for the hack! Big shoutout to our whole team behind this project!
@PautardR @kirstenrpomales
@Addy84940414 @MaxMartelo
@mickael_btc @_pranav_sighal
yash
1.3K views · 13 likes
· 1 reposts · 3 replies
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@theinterndotfun @buzzingdotclub @Quant72ai @Mamo_agent @burnieio We also want to thank the stellar group of judges who brought insight, rigor, and perspective to the first Virtuals Protocol Hackathon.
@ethermage from @virtuals_io
@luca_curran from @base
@elkun_peng from @Stanfo
12.3K views · 75 likes
· 7 reposts · 6 replies
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The results are in.
Over 100 submissions entered the first-ever Virtuals Protocol Hackathon.
The winners have been selected.
These teams delivered serious agent firepower and set the bar for coordination, autonomy, and onchain execution.
Congrats to the winners, and respect to
169.2K views · 464 likes
· 71 reposts · 37 replies
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Im Vergleich zu Konten gleicher Größe
7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 100K–1M Follower. wird mehr Menschen gezeigt als Konten gleicher Größe.
Medianaufrufe26 619dieses Konto5 983Median für 100K–1M
Reichweite, %9.04%dieses Konto1.49%Median für 100K–1M
Interaktion, %0.86%dieses Konto0.93%Median für 100K–1M
| Kennzahl | Dieses Konto | Median für 100K–1M | Verhältnis |
|---|---|---|---|
| Medianaufrufe pro Beitrag | 26 619 | 5 983 | 4.45× |
| Reichweite (Aufrufe ÷ Follower) | 9.04% | 1.49% | 6.07× |
| Interaktionsrate | 0.86% | 0.93% | 0.93× |
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
169.2K21 Apr
12.3K
1.3K
700.3K2 Jul
9.1K
7.7K
922
17K4 Sep
25K
62.6K
26.6K
53.8K6 Sep
24K7 Sep
28.6K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.38%21 Apr
0.72%
1.29%
0.24%2 Jul
0.96%
0.67%
0.98%
0.14%4 Sep
0.86%
0.59%
1.31%
1.28%6 Sep
0.18%7 Sep
1.21%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes71.3%3 502 in total
Reposts9.3%458 in total
Replies8.9%437 in total
Quotes4.1%202 in total
Bookmarks6.4%316 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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