Introducing: Creator Wire Insights Show off your stats with Creator Wire Insights. For both companies and creators, to understand the data is key for growth. > Creators, what works, which posts goes viral, what to replicate. > Companies, you're able to analyze the creators your work with, and distribute your incentives to creators more aligned with your protocol. Check your insights today:

Which onchain apps and protocols generate revenue, and who captures the value? That´s the topic of UpBlock episode #2#, @Jackhaldorsson and @sirsamjenks go through: > the apps and protocols that generate the most revenue > where that revenue goes > who ends up with it: token holders, treasuries, apps or chains Join live or watch the replay ↓

Bring your brand to Lisbon for Web Summit week This November, we're opening our space in central Lisbon to a select few brands planning IRL activations Host a hackathon, panel, or networking event to connect with founders, investors, and tech leaders visiting Lisbon for Web Summit We handle everything from your marketing, luma page to your recap video and clips. You focus on your project and your guests More info about the venue ↓

Why does a robot data project need a blockchain? Provenance. On @axisrobotics, every accepted run is signed on Base with a unique Data ID, bound to its task and its contributor. That gives enterprise clients an auditable trail from prompt to policy. Try one task and sign it on Base:

Did you know that when @axisrobotics delivers data to a robotics company, it does not hand over a pile of recordings. It delivers a Package. Each package is measured across four dimensions. → Scenario sets the environment, such as a kitchen countertop or industrial sorting. → Atomic Skills covers primitives like grasp, place, push, and rotate, and continuous skill chains carry more training value than isolated motions. → In task Randomization multiplies diversity across layouts and assets. For example, 40 layouts times 4 asset variants gives 160 instances. → Total Trajectories sets the volume, with packages ranging from 10,000 to 1,000,000. Every one of those trajectories comes from a person operating a robot in a browser.

Introducing Upblock, our new weekly live show on X. We go live weekly to cover frontier tech, crypto news, marketing, RWA, and DeFi. Every stream covers the week’s headlines, one topic in depth, lessons from recent campaigns, and a live Q&A. See you on the first stream soon.

Institutional finance needs two things public blockchains do not provide by default: -> privacy for sensitive positions -> proof for the claims being made. @primus_labs is building both, and BNB Chain is one place it is already live. Its zkTLS verification layer went live on BNB Chain in June, letting an attestor prove the authenticity of data obtained over HTTPS without accessing the raw data. On the confidentiality side, FHE allows computation directly on encrypted data, with results only the authorized owner can decrypt. Verification for what must be trusted. Confidentiality for what must stay private. Added on top of existing onchain financial rails. Try the XP tasks:

Do you know how it works with the tasks on @axisrobotics? Not every robot trainer gets the hardest tasks on Axis, and access is not something you apply for. A weekly algorithmic review runs identical checks across every contributor’s full history, weighing two things equally. Volume covers distinct tasks completed, work in both pre training and post training, and a consistently high verification pass rate. Quality covers performance ranked against others on the same tasks, measured across the whole evaluation window, not just one good week. It matches how the rest of Axis works. Every run is replayed in simulation and scored algorithmically, and no other contributor grades yours. Curious how it feels? Complete one task in your desktop browser, sign it on Base, and start building your own track record:

Most robotics demos work in a lab. A production line is a harder test. @axisrobotics got a commercial partnership with Lotus Cars and Geely Auto Group. Axis Suite delivers Sim2Real automation for parts sorting, this reduces the manual engineering needed for each new part. This is the full Axis loop in practice: design the scenario, collect the data, train the policy, deploy on a real line.