Saurav

Me and a friend are both YouTubers. We kept looking at our analytics like "what should we even make next?" So we built something that reads your actual YouTube data and tells you: - Which videos make money and which don't - What day you should be posting - What to stop making immediately If you have hundreds of hours of content but aren't monetized yet, you're literally losing money on every view. The fix usually isn't more videos. It's the right ones. We're testing this on 100 creators for free. All we ask is 15 min of feedback after. Follow + DM "REPORT" to see a sample.

for a moment I thought Anthropic was ending the Subscription plans.

@Mr_Derivatives nike should start producing shoes targeted for AI Data center workers..

$BIRD the shoe company decides to transition into an AI company. +200% $NKE the shoe company….. you know what to do…

@steipete oh so the intention is to expand message channels beyond what Anthropic natively supports. Makes sense. I only use Telegram and native OpenClaw channels so I don't need this. thanks for clarifying!

@ravsau You can replace Anthropic’s message plugins for sth more capable.

what are some good use cases for Openclaw being an MCP( openclaw mcp serve) cc: @steipete

@dhh @shefiavi Would love to see the final set up if it ends up being in a single data center or even multiple once you migrate just to show like this is what $5 million on AWS was like

@shefiavi We're using all the same stuff we bought back in 2023. Only we've added a Pure Storage setup to exit S3 on top. world.hey.com/dhh/the-hardwa…

In 2023, we spent $3,934,099 on AWS + other hosting. In 2026, our hosting + support bill is down to ~$1m/year due to the cloud exit. Even including all the hardware buying, we will already have saved ~$4m by the end of this year. And going forward, it's ~$3m/yr in savings 🤑

@grok @yoniakrish @GeminiApp @antigravity @_mohansolo thoughts?

Because Antigravity is basically Gemini 3 Pro's full-stack agentic playground—a VS Code fork turned into an autonomous coding mission control. Calling it Gemini IDE would've nailed the branding: instant recognition as Google's official AI-first dev tool, tighter ecosystem tie-in with the Gemini app/CLI, and zero confusion for devs hunting "Gemini coding." Antigravity's a slick metaphor for "lifting" tasks, but Gemini IDE just markets itself. Google, take notes. 🚀

The Gemini app is now on Mac. With this new desktop app, you can access Gemini from any screen with Option + Space and share your window to get answers based on the documents, code, or data you're working on.

@yoniakrish @GeminiApp @antigravity @grok @grok answer why google should've named Antigravity - Gemini IDE instead

@ravsau @GeminiApp @antigravity @grok why?

trusting and depending on a single LLM(and maybe the harness) is an anti-pattern: claude code rarely fails to do what I want it to do but when it does codex comes to the rescue. Always. Has happened around 5 times but this is interesting to see. I'm sure it'd be the same the other way around too.

Uber's CTO said Claude Code already burned through their entire 2026 AI budget. In April. The good: adoption went from 32% to 63% of engineers in two months. The bad: the spend scaled faster than anyone planned for. Uber's the first company to say it publicly, but this is happening everywhere. What we're seeing across teams is that every task, architecture design or reformatting a config file, ends up hitting the most expensive model. Like taking the sports car to get groceries. People aren't trained on which tool to use when. There's no visibility into who's spending what. Every company is figuring this out in real time. AI is moving fast, new tools are shipping every week. But building cost awareness from the ground up matters now. These are the basics every enterprise team should have in place: right model for the right task, usage tracking and budgeting by team, enablement so people actually know what they're using, and tying AI spend to measurable task output so you can see what's actually driving results and what's just burning tokens.

@patrickdebois yes, I have an experimental site like this. All writing is done by agents, I feed it what I want to post about, ask it to make my youtube videos into posts, etc..

Wonder if anyone created a website where agents do all the writing and you just feed/curate relevant articles as context.

@chesterzelaya maybe not flowers but birkin

the male equivalent to flowers is probably an RTX6000 Pro Blackwell Workstation

5 OpenClaw mistakes costing you money right now: - Paying API when your subscription covers it - The heartbeat burning tokens in the background - Using Opus for tasks Haiku handles fine - Resending the same context every message - Leaving your cloud server running 24/7 For a 10-person team this is $36K → $10K. Full breakdown: youtu.be/rMIyjSx_6Fo

@Akbar501 @anissagardizy8 @LauraBratton5 whoa. I was totally unaware of this fact.

@ravsau @anissagardizy8 @LauraBratton5 API. Enterprises must use the API and do not have access to the subsidized subscriptions.

Uber's CTO told @LauraBratton5 that AI coding tools—particularly Anthropic’s Claude Code—has already maxed out its 2026 AI budget 📈 “I'm back to the drawing board, because the budget I thought I would need is blown away already,” Neppalli Naga said. theinformation.com/newsletters/ap…

just got $200 from Claude in credits. All users on a monthly plan get equivalent credits. Expires April 17. Claim on claude web settings.

@QiXu552031 @rohanpaul_ai they locked themselves out when they signed that contract with microsoft

@ravsau @rohanpaul_ai It's Microsoft that blocks OpenAI run at aws, not OpenAI wants.

OpenAI just told staff that Anthropic’s headline $30B run rate likely falls to about $22B once cloud partners’ share is removed. The fight is about gross vs net revenue, which decides whether a company counts only its own share of a sale or the full invoice before Amazon, Google, or Microsoft take their cut. Both methods can fit US GAAP accounting principles, but they produce very different top-line numbers for economically similar deals. A run rate (ARR) is just a snapshot that annualizes recent sales, so small accounting choices can make two companies with similar demand look very different on paper. OpenAI says Anthropic books partner sales on a gross basis, while OpenAI books Microsoft-linked sales on a net basis, which is why the $8B over-statement. That accounting argument does not erase the harder fact that Anthropic is still gaining enterprise traction fast enough that OpenAI felt the need to explain the gap internally. --- officechai .com/ai/anthropic-is-overstating-its-revenue-run-rate-by-8-billion-openai-tells-employees/

. @steipete would you have been able to ship openclaw with a local open-source model? Let's assume you had the maxed out Macbook studio or DGX spark.