Dot

Objectively better AI, fully anonymous. Build anything with Dot.

[Dot @usedotai]

The closed-model industry is quietly monetizing your conversations while simultaneously preaching revolution.

We are that revolution.

Live on @base: 0x23A2847d772803f9EFC64B4277b782b06296FE51

[Dot @usedotai]

5.11B tokens processed over the last 28 days.
-5,303 daily free users
-201 Subscription plans
-$122,916 annualized subscriptions

Truly private accessibility, no account needed, no claude detectable metadata.

Architecturally anonymized, zero third party data sharing, fully private MCP compatibility, fully private coding agent.

DotCode, DBrowser, DotCouncil, DotVideo, DotImage, DotChat.

Open-sourced infrastructure on @huggingface, proprietary models, independent on-premise hosting, market leading inference pricing.

And $100,000+ spent on infrastructure to date.

https://t.co/eFFR0eZBzn

[Dot @usedotai]

Real privacy
Cheaper pricing
More tools

And only 3 months into development.

Watch this space.

[MCG @MCGlive]

Is $DOT actually competing with Venice?

"I would say that Venice, honestly, is not actually private"

Venice currently dominates private AI space but it's not fully private yet. @usedotai runs with zero identity graphs, no accounts and chats disappear the moment you clear your cache

[Dot @usedotai]

We just had out biggest singular influx of $DOT credit payments since we enabled native token payments.

178,970 $DOT has been settled for platform credits, and mechanically burned at: https://t.co/6j74XIZwdv

Our new UI is proving popular...

[Dot @usedotai]

We've conducted a complete overhaul of Dot's Desktop & Mobile interfaces, further shrinking the gap between Dot, and those billion-dollar AI companies.

→ Interactive artifacts beside your chat
→ DotCode apps with instant mobile previews
→ Live sources while responses are being generated
→ Council for comparing models side by side
→ A visual library for your images and videos
→ Cleaner chats, richer previews and more space for your work

Everything feels more connected, while keeping what makes Dot different at the center: model choice, sprawling utility, affordability and privacy.

https://t.co/eFFR0eZBzn

[Roshi 🐐 @altmasterroshi]

A friendly reminder that $DOT @usedotai is one of the very few providers with GPT-6 Astra, supercharged, fully private on https://t.co/Hud0Fjfmms

Running on 100k+ worth of their own inference, with zero % downtime, and cheaper than 10-15% of ALL competitors

Also integrated on their most featured tool, DotCode

Building on @usedotai has never been more intriguing

[stage @stagedhappen]

This is exactly what we mean when we say the intelligence inside these closed-source labs will provide an inexcusable level of advantage to them.

Imagine this advantage compounded across every team, every product and every year.

The most capable AI, utilized as an internal weapon reserved for the companies building it.

Open source is our only counter weight.

Dot.

[Dot @usedotai]

Are you leveraging the increasingly powerful capabilities of the Dot Platform?

Cheaper, objectively better, fully anonymous.

https://t.co/rEOJY3vrVn

[stage @stagedhappen]

GPT-6 Astra is live in our native, anonymous coding agent, DotCode, and 10-15% cheaper than our competitors.

Check out what we built with just one prompt.

Fully anonymous, cheaper than the competition, and capable of incredible results.

https://t.co/QIRgoLbJdy

[Dot @usedotai]

The most highly trending AI model is now live and fully anonymous on our in-house coding agent, DotCode.

Build full-stack apps, APIs, automations and ambitious digital experiences from a single prompt.

https://t.co/rEOJY3vrVn

[OpenAI @OpenAI]

This is GPT-6 Astra.

Anything you can do on a computer, Astra can do for you. Fast.

[Dot @usedotai]

AMA with Stage soon?

Count us in.

[stage @stagedhappen]

Some Saturday night thoughts regarding Dot:

The decentralized inference space, and private AI inference space as a whole, is generally quite scattered.

There are model providers, inference providers, decentralized compute networks, privacy layers, routing systems, APIs and agent infrastructure all solving different parts of the same problem.

There is a huge amount of innovation happening, but very little of it is being brought together into a cohesive infrastructure layer.

I think that's where the bigger opportunity sits for Do (a point I have heavily emphasized for months).

Enterprises don't necessarily want to manage five different model providers, three inference APIs, a privacy layer, an agent framework and a collection of disconnected tools. They want private AI that works across their models, applications and workflows through a single infrastructure layer.

That's increasingly what we're building with Dot.

DotChat
DotCode
DotAPI
Our MCP
DBrowser

Our model stack and our inference infrastructure are different interfaces into the same underlying private AI ecosystem.

And this versatility is already being proven through our current enterprise deployments ( 5 at present, with another 3 coming, including 2 that we'll be announcing publicly).

One thing we've consistently seen is that enterprises value the ability to access multiple AI capabilities through a single private layer rather than stitching everything together themselves.

That's an important signal to us and something we are most definitely not ignoring.

I'll be joining an AMA in a few weeks to go much deeper into this, including where I think private and decentralized inference is heading and what we're building toward with Dot.

Excited.

[Dot @usedotai]

Anthropic is putting provenance directly into Claude-generated images.

We’ve built a unique tool that gives you a way to remove it.

Claude Strip is now live on the Dot platform.

Drop in a Claude JPEG and Dot detects the C2PA/JUMBF credentials, removes the embedded metadata without recompressing the image, then verifies the pixel SHA-256 to confirm nothing else changed.

No recompression. No quality loss. No changes to the image itself.

Try Claude Strip: https://t.co/Tw5X6LTk4Y

[Dot @usedotai]

Check out our segment on the MCGLive podcast.

@AlaaDelRey breaks down who we are, why we’re building, and why we’re so passionate about privacy.

Dot.

[MCG @MCGlive]

Today on MCG

$DOT | @Usedotai w/ @AlaaDelRey

Dot is an Privacy-first anonymous AI platform

Key Highlights:

00:41 – Alaa's background
02:43 – Team members
03:30 – Privacy pitch
07:15 – How proxy works
09:13 – Privacy layer explained
11:39 – Live demo
17:43 – Robinhood MCP trading
21:34 – Competing against VVV
22:53 – 4K+ daily users, $10K MRR
23:36 – Revenue breakdown
24:16 – DOT burn
26:24 – Paying user breakdown
26:59 – Staking soon

[Dot @usedotai]

GPT-6 Astra is now live on Dot, fully private and 10% cheaper than OpenRouter.

OpenAI’s most capable model, built for deep reasoning, advanced coding, research, vision, and long-running agentic work.

1.05M context window. Files. Images. Tools. Streaming.

Available now in DotChat and through the Dot API.

Starting at $9 per million input tokens and $45 per million output tokens.

The very latest technology, instantly accessible.

https://t.co/eFFR0eZBzn

[OpenAI @OpenAI]

This is GPT-6 Astra.

Anything you can do on a computer, Astra can do for you. Fast.

[Dot @usedotai]

The 10% discount is just one utility surface, and it's mostly higher than 10%.

$DOT is the native economic layer of the platform: it is used for inference, is mechanically settled and burned when used for inference, and will sit underneath the broader ecosystem as we expand staking and revenue share.

USDC gives users a stable way to access the products, essential for serious adoption (as shown through our numbers).

As Dot usage scales, the objective is for more of the ecosystem's economic activity to flow through $DOT, not less.

[Dot @usedotai]

We will be live on the @MCGlive podcast shortly, ready to discuss all things Dot with @AlaaDelRey.

Bring us your questions!

[MCG @MCGlive]

🔴 LIVE: Vlad Defends Crypto & Tokenized Stocks | Market Update + Interviews https://t.co/0rBx8k1fOC

[Dot @usedotai]

See you soon.

Dot.

[MCG @MCGlive]

Tomorrow on MCG

$DOT | @Usedotai w/@Stagedhappen

📅Friday, 4th September
🕛12:30PM EDT
📍Tune in here

Stream powered by @MetaDAOProject

[Dot @usedotai]

We’re aware of the ongoing AI outage affecting users across the industry.

Dot remains 100% operational, with zero downtime across our model infrastructure.

Complete privacy, all the time.

https://t.co/rEOJY3vrVn

[Dot @usedotai]

NVIDIA just agreed to acquire Hugging Face for $12.93B. That is one of the clearest signals yet that open models are becoming foundational AI infrastructure.

Dot has been building directly into the @huggingface ecosystem from day one: https://t.co/dL4raUGKDU

We believe the future of AI belongs to open intelligence. Models that can be inspected, modified and deployed independently, paired with infrastructure that makes them private, affordable and accessible.

Dot is building the private, affordable inference layer that makes that intelligence accessible at scale.

Open intelligence ≠ private infrastructure.

We are incredibly early, and positioned for this shift.

[Jensen Huang @JensenHuang]

Exciting day for NVIDIA and @huggingface.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.

Thank you @ClementDelangue for coming to me.

NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗

https://t.co/q8Om2Xc5ye

[stage @stagedhappen]

Now you just need to delete your data exposure.

Use DotCode: https://t.co/AIBGh5qoNr