We're hiring for -
- AI engineering intern
- GTM/Growth intern
Remote. Growing at insane speed. 40K users. High agency.
If you're cracked and want to work at early stage startup, then consider applying. More details below 👇
Unlock the power of autonomous workflows with Startup School: Agentic AI.
Join @GoogleCloud experts to discover how to build, deploy, and scale sophisticated #AIagents that drive real business impact. Ready to innovate? Register here ➡️ https://t.co/QzUDNTjYzt
read colleague.skill this morning and honestly it made me think we've been building memory systems completely wrong...
the problem
-----
every memory system today is a solo instrument. one agent, one session, one recall. you store facts, you retrieve facts. but when someone leaves your team you don't lose their files, you lose the reasoning behind the files. why that decision was made, what tradeoff they were optimizing for. current systems don't capture that at all
what they actually built
-----
you feed it someone's slack history, docs, emails and it distills two things separately. the work skill which is how they make decisions and their workflows, and the persona which is just how they communicate. those are separate layers and that composability is genuinely smart. most systems bake both together and make both worse
what hit me the most
-----
this is the first clean formalization i've seen of what i'd call collaborative context as infrastructure. knowledge that doesn't just sit in a store but travels between agents and sessions with the reasoning intact. that's not a better memory system, that's a different category entirely
the limitation that nobody is talking about
-----
their evolution mechanism is input triggered. new data arrives, skill regenerates. that's fine but it's reactive. what you actually want is performance triggered evolution. the system detects its own behavior is degrading and updates without waiting for someone to feed it new docs. that's the hard problem and it's still unsolved
the opportunity
-----
whoever builds the performance triggered version first, with local first privacy guarantees, basically owns the next layer of how agents collaborate and share knowledge
we are genuinely early on this one
No more writing OAuth flows, token refresh logic, or rate-limit handling from scratch.
- Managed auth, proxy, and functions for 800+ APIs
- Write integration logic as TypeScript functions or generate with AI
- Built-in token storage, retries, and multi-tenant connection management
- Production runtime with observability and scaling
Excited to share our most powerful new Claude Code feature: dynamic workflows!
Mention "workflow" in a prompt and Claude will dynamically create an orchestration plan that it strictly follows, allowing you to confidently trust that every stage happens in the right order even across 100s of agents.
We’re hiring a Senior Full Stack Engineer at
@Basedash!
We’re a small team building the leading AI-native Business Intelligence platform.
BI is a massive market entering a major shift with new ways of storing and computing data, and deeper governance for AI agents operating on company data.
We’re looking for someone with strong full-stack fundamentals, real product sense, and genuine excitement about building with AI at the core of the product from day one.
👥 Meet the team helping Mesh scale!
As Mesh continues to grow across products, markets, and time zones, so does the team behind the team: our lovely HR department.
Want to join us? We're hiring → https://t.co/T0Zy3nXqE4 🚀
Hi All!
I’m looking for recommendations for a trustworthy and reliable immigration attorney or nonprofit legal organization experienced with asylum cases in NYC/NJ.
This is for someone with an important immigration appointment coming up on June 10, so I’m especially looking for attorneys or organizations that are responsive, compassionate, honest, and experienced with asylum/immigration court matters.
If you’ve had a positive personal experience or know someone reputable, please DM me or comment below. Thank you so much.
🚨 AI companies are now hiring a new type of engineer:
FDE = Forward Deployed Engineer
Companies like anthropic, openai, and others are racing to hire them.
What they do:
- Work directly with enterprise clients.
-Build custom AI workflows/apps.
-Fine-tune AI integrations.
-Ship production AI fast.
This role is exploding because companies don’t just want AI models anymore they want engineers who can deploy AI into real businesses.
Writing fast, correct kernels is very hard! For both speed and logic, verification is surprisingly tricky.
Very cool work, and writeup, from @_doubleAI_
https://t.co/vuyVEtpUmN
this saturday, @OpenAI is throwing an autoresearch hackathon with @raindrop_ai and @modal
come learn how to build systems (agents, models, etc) that improve themselves
link below!
Hi! I got a personal trainer covered by my health insurance from Kickoff and thought you might like it as well! You can check it out here: https://t.co/hebvRLJLy9