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Camp Network

@campnetworkxyz · joined 18 Oct 2022

Camp is an AI infrastructure company ensuring the ethical scaling of data training. Develop, train and deploy agents on licensed IP at https://t.co/968e4OGcUz

381 634Followers
213Following
5 054Posts total
76.6KViews on collected posts

Latest posts

Camp is 𝘵𝘩𝘦 chain for ethical AI 6.4K views · 15 likes · 2 reposts · 6 replies Open on X →
Sony and Warner just sued one of the world's most valuable AI companies for what they called one of the largest thefts of IP in history. The music industry has seen it before with Napster and LimeWire. The outcome was the same. AI companies that want to scale sustainably start 6.6K views · 30 likes · 3 reposts · 7 replies Open on X →
Every AI model trained on the same public internet data is converging toward the same output. The only way to scale is proprietary IP, the kind that reflects genuine human expression and cannot be scraped. Accessing that data requires real collaboration between humans and AI, 7.7K views · 24 likes · 4 reposts · 6 replies Open on X →
@campnetworkxyz sCamp gogo 📉📉💸 157 views · 2 likes · 0 reposts · 0 replies Open on X →
That’s why we built Origin. Register and license your music on Origin → https://t.co/QCSHbPGsYu 1.8K views · 7 likes · 1 reposts · 1 replies Open on X →
A European court just ruled that training AI on copyrighted music without a license is infringement. Building AI on unlicensed creative work was never a sustainable foundation, and the courts are now making that clear. Licensing infrastructure for AI is what makes the entire 9K views · 38 likes · 8 reposts · 16 replies Open on X →
@campnetworkxyz Enter the mAItrix 469 views · 3 likes · 0 reposts · 0 replies Open on X →
mAItrix is available now. Start building with AI you can trust: https://t.co/nSET1XZIFK https://t.co/S5NMr0e7nI
633 views · 5 likes · 0 reposts · 0 replies Open on X →
mAItrix is the first step toward standardizing AI on licensed, ethically sourced data. As AI becomes embedded in work and culture, creators, developers, and enterprises need assurance that the systems they use are trained on licensed, opted-in IP. This is the first step toward 652 views · 5 likes · 0 reposts · 2 replies Open on X →
Introducing Hubs. Hubs are project workspaces that store your files, references, and licensed IP in one place, with memory and custom instructions that keep agents aligned across sessions. Hubs are discoverable and forkable. You can license a Hub, extend it, or mint your own as
0:33
419 views · 4 likes · 0 reposts · 2 replies Open on X →
IP registration is built into how mAItrix works. Before prompting, you can select an IPNFT context that defines how your output can be reused. You can also upload your own IP, set pricing, usage terms, and royalties. mAItrix registers outputs to Origin at creation time, so htt
0:08
1.3K views · 4 likes · 0 reposts · 1 replies Open on X →
mAItrix provides a fast, intuitive interface for building with AI. Start from chat, web search, URL fetch, image generation, or agent workflows in one place. Outputs can be licensed directly. Your chats, images, and media can be registered as IPNFTs and reused with clear usage
0:17
1.6K views · 8 likes · 0 reposts · 1 replies Open on X →
Introducing mAItrix, the first framework for ethical AI agents. Build and deploy sovereign agents trained on licensed, verifiable IP. All data and assets used by mAItrix agents are sourced through Origin, Camp’s IP registry. Ethical AI, purpose-built for the IP economy ↓ https
0:51
39.9K views · 200 likes · 30 reposts · 63 replies Open on X →

Against accounts of the same size

6 posts from the last 90 days, next to the 100K–1M follower range. ordinary reach for its size, weaker reaction than most.

Median views6 514this account5 424median for 100K–1M
Reach, %1.71%this account1.81%median for 100K–1M
Engagement, %0.56%this account1.21%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post6 5145 4241.20×
Reach (views ÷ followers)1.71%1.81%0.94×
Engagement rate0.56%1.21%0.46×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

39.9K10 Feb
1.6K
1.3K
419
652
633
469
9K5 Aug
1.8K
157
7.7K17 Aug
6.6K31 Aug
6.4K8 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

0.73%10 Feb
0.57%
0.39%
1.43%
1.07%
0.79%
0.64%
0.69%5 Aug
0.50%
1.27%
0.44%17 Aug
0.61%31 Aug
0.36%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.21%.

What the audience does

Likes66.0%345 in total
Reposts9.2%48 in total
Replies20.1%105 in total
Bookmarks4.8%25 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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