
mesh-llm: pool compute to run open models. built by @michaelneale at block: docs.anarchai.org
Pradeep B V
9.5K posts


mesh-llm: pool compute to run open models. built by @michaelneale at block: docs.anarchai.org









This is wild. theaustralian.com.au/business/techn…




Keerthi and I are DIY-ing our nutrition for marathon training this time around. We have been doing high mileage weeks (100K+), so nutrition has to be on point. Lots of failed experiments last week, but we’ve made our own carb mix and it works great. This pic is first version of our energy gels (with electrolytes). Long way to go, but tell me - why does this work/taste as good as the imported gels we’ve been using?🤯 Are you telling me I didn’t need to spend a bomb on nutrition all this while? 😭 @keerthisiddeshw



Building AI-native non-tech teams is not really difficult. Here are the steps we did at @Sahi_HQ to supercharge our team. 1. Did a couple of hands-on sessions with my Product and Growth teams on how to use Claude Code in Terminal mode. 2. Gave everyone in the org a Claude Teams account. 3. Integrated Claude with our org specific knowledge through a private MCP server. Set them up with a few skills and tool integrations. Within one week, our non-tech teams are consuming Claude tokens like college students at a wedding buffet 😀. Just amazing to see the innovative ways in which people are using this tech to collate and analyze data from different internal and external sources, do real-time audits of their business and product metrics without waiting on someone to write a SQL script or build a dashboard, create prototypes to visualize ideas, and even execute automated workflows to complete tasks. The speed and quality of data driven conversations just got a BIG boost, and it's exciting to see how much leverage Claude Code can give non-tech teams too. You know you have an AI native team, when people come to you for more LLM token credits instead of headcount requests. 😍