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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Constellation² ✓@Conste11ation7 Sep

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.

2:03

6.1K views · 61 likes · 14 reposts · 0 replies Open on X →

Constellation² ✓@Conste11ation3 Sep

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 Open on X →

Constellation² ✓@Conste11ation3 Sep

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 Open on X →

Constellation² ✓@Conste11ation1 Sep

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 Open on X →

Constellation² ✓@Conste11ation1 Sep

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 Open on X →

Constellation² ✓@Conste11ation31 Aug

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 Open on X →

Constellation² ✓@Conste11ation31 Aug

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 Open on X →

Constellation² ✓@Conste11ation28 May

@Conste11ation Hype! $DAG x $AIAI 🚀 368 views · 7 likes · 1 reposts · 0 replies Open on X →

Constellation² ✓@Conste11ation28 May

@Conste11ation @ZapToTheFuture Let’s go @Conste11ation Gate Ai! 339 views · 5 likes · 1 reposts · 0 replies Open on X →

Constellation² ✓@Conste11ation28 May

@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 Open on X →

Constellation² ✓@Conste11ation28 May

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 Open on X →

เทียบกับบัญชีขนาดเดียวกัน

7 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงต่อคนมากกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน4 963บัญชีนี้1 079ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %5.75%บัญชีนี้3.82%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.51%บัญชีนี้1.65%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	4 963	1 079	4.60×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	5.75%	3.82%	1.50×
อัตราการมีส่วนร่วม	1.51%	1.65%	0.91×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

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 1.65%.

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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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