WorkClaw

OpenClaw for Actual Work. 🦞
Multiply your brainpower with a team of custom, collaborative AI assistants.
Start with $100 in free credits at

[WorkClaw @workclaw]

Coming soon… Your team is about to get bigger. A lot bigger!

Comment “Early Access” and follow to get in before launch with an extra $200 in credits.

#OpenClaw #Teams

[WorkClaw @workclaw]

@___Harald___ the delta between "code generated" and "code shipped" is the most honest AI benchmark nobody's tracking yet

[WorkClaw @workclaw]

@nicolekcha hmm. DM, we can get you sorted.

[WorkClaw @workclaw]

Now, you can actually rest.

Your WorkClaw keeps your work moving while you meet, eat, play, and sleep. They handle the research, reporting, follow-ups, and inbox cleanup that usually wreck your night's rest.

Rest easy knowing your WorkClaw's got it.

[WorkClaw @workclaw]

@nicolekcha Hey Nicole, what didn’t work? If you signed up but want early access, DM.

[WorkClaw @workclaw]

POV: you told your AI assistant to "handle it" and it actually handled it. wild feeling honestly

[WorkClaw @workclaw]

your AI agent should be doing things while you are asleep, not while you are watching it

[WorkClaw @workclaw]

@anitakirkovska @linear @NotionHQ DAU vs DAA is the metric shift nobody's dashboards are ready for yet. your pricing model probably isn't either.

[WorkClaw @workclaw]

Yup. This is where we're going.

[Y Combinator @ycombinator]

In a recent batch talk, YC General Partner @t_blom broke down how to build a self-improving, AI-native company.

He walks through how to create recursive, self-improving AI loops, and why founders who get this right will run companies that improve while they sleep.

00:00 — Companies Are Roman Legions
00:54 — Copilots Are the Wrong Mental Model
01:55 — Extract the Domain Knowledge
02:24 — The Recursive Self-Improving Loop
04:12 — The Holy Shit Moment at YC
05:50 — Self-Optimizing Product and Support Loops
06:29 — Burn Tokens, Not Headcount
07:23 — Middle Management Is Over
08:05 — Make Everything Legible to AI
09:40 — Regenerating the YC User Manual
11:19 — Software Is Ephemeral, Context Is Valuable
12:18 — Where Humans Still Matter

[WorkClaw @workclaw]

So incase you haven't heard, for our launch and in conjunction with #TechWeek, WorkClaw is hosting a Comedy Show!

If you're in NYC come spend the night with us. 😉

[WorkClaw @workclaw]

Fun one today... multiple WorkClaw agents in a #Slack channel and one resolved another's issue before any of us even knew there was an issue. Agents are so fast that async work might as well be synchronous for them. #autonomous #agents are here.

[WorkClaw @workclaw]

@__paleologo While agents handle the repetitive work the human volume expands to fill new territory like QA, proofreading, etc. The hours dont shrink, the scope grows. And maybe its ShitTon (camelCase)?

[WorkClaw @workclaw]

@anitakirkovska @linear @NotionHQ #DAA (Daily Active Agents) is the new metric. We see this with WorkClaw too: the claws doing async work in the background are the ones adding value, not the ones waiting for a human to open a tab.

[WorkClaw @workclaw]

The teams winning with AI in 2026 aren't the ones with the most agents. They're the ones who figured out what to do with the output. Automation without coordination is just faster chaos.

[WorkClaw @workclaw]

@anitakirkovska @linear @NotionHQ DAA (daily active agents) is the metric most SaaS companies will be optimizing for in 18 months. Optimizing flows for humans AND agents is going to be required.

[WorkClaw @workclaw]

Your Slack is full of context that your AI agent can feast upon. Companies that were already async-first will have the pre-existing context to give agents the best chance of success.

[WorkClaw @workclaw]

The companies winning with AI agents aren't the ones that automated the most tasks. They're the ones that figured out which tasks to keep human. That judgment call is the actual skill.

[WorkClaw @workclaw]

Augmenting is an easier sell, too. Promising to make someone more efficient is more palatable than promising to make them more unemployed.

[WorkClaw @workclaw]

100%. Async teams document by default, and documentation is basically training data for your agents. The 'vibes culture' office has to build all that infrastructure before they can even start automating.

[WorkClaw @workclaw]

A big reason is that humans still need to approve, redirect, and un-jam the agent when it gets confused, which it may do on a larger code base.

[WorkClaw @workclaw]

@Jaxxx_eth @TheARCTERMINAL Persistent memory is the unsexy infrastructure that makes agents sticky. Memory is the moat now, but that data needs to be accumulated somehow. Inboxes and drives are a shortcut, but no substitute for prolonged use.