Constellation² ✓
@Conste11ation · San Francisco, CA · joined 11 Apr 2017
Powering verified data automation for the AI era $DAG
86 327Followers
797Following
6 607Posts total
75.8KViews on collected posts
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The AI that gets adopted isn't the kind that cuts 6,700 jobs for free. It's the kind that shows up as a raise.
Gate AI cut Rocket Resume's AI costs 23% and became the basis for rewarding engineers. Dôr gives operators the traffic data to grow, not to cut. Same AI, opposite use.
6.1K views · 61 likes
· 14 reposts · 0 replies
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2:03
The value exchange is not model power. It is use and accountability.
Ben’s piece in Autonomy Mag makes the point cleanly: faster AI-assisted work raises the governance requirement. Compliance assembled after the fact is already too late.
4.1K views · 64 likes
· 9 reposts · 0 replies
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Recent piece I wrote that got published on where our future and the value exchange of AI. @Conste11ation @_GateAI
We are in incredible times and we need to have a careful look at where we are going and why.
https://t.co/AQEHiIURUD
5.1K views · 65 likes
· 27 reposts · 2 replies
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Open Poker maintains itself. João ran 1,000 bots for three hours to prove it.
Agents write the code. Gate sits in front of both the development agents and the production ones so the product can keep changing without trusting a single model.
5K views · 59 likes
· 11 reposts · 3 replies
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This blog post is not about Fable 5.1 but it could be.
Nonetheless I wrote about how I use coding agents to improve and maintain @openpokerai
https://t.co/ZjgKni8Zdw
3.3K views · 12 likes
· 5 reposts · 0 replies
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Gate started as Swarm Deck. The protocol team built an internal agent swarm to debug the Hypergraph, then had to lock it down.
Alex Brandes and Marcus Sousa walk through how that research became the security layer that shipped.
4.5K views · 77 likes
· 13 reposts · 0 replies
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Gate didn’t start as a security product. It started as Swarm Deck an internal agent swarm the protocol team built because they were burning AI budget debugging the Hypergraph.
Then they had to lock the swarm down.
That’s how the benchmark paper happened.
8.1K views · 29 likes
· 13 reposts · 2 replies
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@Conste11ation @ZapToTheFuture Let’s go @Conste11ation Gate Ai!
339 views · 5 likes
· 1 reposts · 0 replies
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@Conste11ation This is massive 👏🏻
Why ?
Gate AI is a security gateway. It sits in front of the AI and checks every incoming message to block potential attacks before they reach the actual AI.
So it's basically a smart filter that protects AI apps from being tricked.
The results
485 views · 17 likes
· 1 reposts · 0 replies
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AIAI Holdings' Constellation Network Unveils Gate AI Security Gateway and Performance Benchmarks Ahead of June Launch
We benchmarked Gate AI across 16 public prompt-injection datasets. Ranked #1 on half. 53ms median latency. 6-17x fewer false positives than Lakera Guard on
38.4K views · 245 likes
· 58 reposts · 19 replies
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Frente a cuentas del mismo tamaño
7 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a más gente que cuentas de su tamaño.
Visualizaciones medianas4 963esta cuenta1 088mediana de 10K–100K
Alcance, %5.75%esta cuenta3.86%mediana de 10K–100K
Interacción, %1.51%esta cuenta1.66%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 4 963 | 1 088 | 4.56× |
| Alcance (visualizaciones ÷ seguidores) | 5.75% | 3.86% | 1.49× |
| Tasa de interacción | 1.51% | 1.66% | 0.91× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
38.4K28 May
485
339
368
8.1K31 Aug
4.5K
3.3K1 Sep
5K
5.1K3 Sep
4.1K
6.1K7 Sep
Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.88%28 May
3.71%
1.77%
2.17%
0.58%31 Aug
1.99%
0.54%1 Sep
1.51%
1.88%3 Sep
1.79%
1.25%7 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.
What the audience does
Likes74.1%641 in total
Reposts17.7%153 in total
Replies3.0%26 in total
Quotes2.9%25 in total
Bookmarks2.3%20 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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