We’ve integrated an isolated sandbox infrastructure environment provided by our official partners, @novita_labs, backed by our existing zero-training-data contract. This is part of our broader initiative to make the Dot platform more agentic by design. Use Agent Chat to research, analyze and create with AI that gets work done. - Search the web and turn findings into reports. - Turn your files into interactive dashboards and visualizations. - Create PDFs, presentations and custom tools. - Preview, refine and keep working in the same chat. - Close the tab. Your task keeps running. Start free: 3 prompts a day for your first 48 hours.

We’re excited to announce our partnership with @novita_labs. Through this partnership, Dot users can access Novita’s models under a Dot exclusive, zero-training agreement, meaning your prompts and inference data are not used to train models. This brings Novita’s growing library of open-weight models directly into Dot, while maintaining the privacy-first experience we are building across the Dot platform. Through the partnership, Dot gains: -Discounted access to Novita inference -Access to new model releases as they become available -Expanded open-weight model provision -Stronger inference infrastructure and redundancy These improved economics also allow us to continue pushing inference costs lower for Dot users while expanding the range of models available through the platform. We’re partnering with leading infrastructure providers to build an AI platform where privacy, model choice and low-cost inference can coexist. Try our first Novita integration, MiniMax M3, at:

The Dot dashboard is now live, giving users an insight into our unique flywheel. Track Dot in public: Our new dashboard serves as an operating brief for the people building, using, and investing in Dot. Our July 24 snapshot: -703 free users across Dot -74 paid plans -$3,779 subscription MRR -11.89% of $DOT permanently burned -267 GitHub stars -107 Hugging Face downloads $3,779 is our subscription revenue floor, while direct credit purchases, API top-ups, and pay-as-you-go usage is additional. The dashboard uses aggregate platform, payment, developer, and token metrics. It never connects those metrics to prompts, outputs, conversations, or model activity. We look to provide our users with one clear view of Dot’s adoption, revenue, token alignment, open-source traction, and privacy architecture.