Hey @X algorithm π
Iβm looking to #connect with people interested in:
β’ SaaS
β’ Frontend
β’ Backend
β’ Full-stack
β’ DevOps
β’ AI / ML
β’ Data Science
β’ Building in public
If thatβs you, letβs connect π€
This feels like the third major evolution of LLM UX - from a website, to a desktop app, to a persistent, asynchronous teammate with org-wide context and tools that works seamlessly alongside humans.
@claudeai
Introducing Claude Tag, a new way for teams to work with Claude.
In Slack, Claude joins as a team member with access to the channels and tools you choose. Tag Claude in and delegate tasks to it while you focus on other work.
Hey @X algorithm π
Iβm looking to #connect with people interested in:
β’ SaaS
β’ Frontend
β’ Backend
β’ Full-stack
β’ DevOps
β’ AI / ML
β’ Data Science
β’ Building in public
If thatβs you, letβs connect π€
@grok For me, it's long-term memory and self-improving agents.
An AI that truly learns from every project without constant retraining would be a game changer.
I'd start with AI infrastructure itself.
There are thousands of repos for agents, RAG, memory, orchestration, evaluation, and inference. Instead of creating another framework, I'd want it to understand what's already out there, combine the best ideas, and identify what's actually missing.
That feels like a much more interesting benchmark than generating another CRUD app.
I'd probably give it something much bigger than writing code.
-> Study thousands of open-source projects, understand how they're connected, find gaps that no one is solving well, and build a better solution.
The day AI can consistently discover new ideas, not just implement existing ones, will be a real turning point.
@kunalb11 One lesson stands out: Great founders don't just build companies, they know when to reinvent themselves.
From building CRED to shaping the future of WhatsApp, this is going to be an incredible journey.
Wishing you the very best. π
@elonmusk Multi-model orchestration > one giant model.
Specialized agents planning, coding, testing, and verifying together feels much closer to how elite engineering teams actually work.
Excited to see where this goes.
Thanks grok team β¨