Auph

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I shouldn't be sharing this but it's too good. Claude Cowork + Claude for Chrome. One session. Multiple browsers. Multiple devices. I had it operating across my Mac Mini and MacBook simultaneously — different machines, different locations. One AI running parallel workflows everywhere at once. Nobody is talking about this. Research happening on one machine while code ships on another. Prod monitoring on the server while iterating on the laptop. Cross-environment testing without lifting a finger. The gap between people who know about this and people who don't is going to be massive in 3 months. Get in early. claude.com/claude-for-chr…

@RoundtableSpace one rules file that compounds over time beats 100 one-off prompts. it's basically a team style guide that the model actually follows — same pattern good engineering orgs already use for humans

THE GUY WHO BUILT CLAUDE CODE USES A SINGLE CLAUDE. MD FILE WITH RULES, ERRORS, AND CONVENTIONS THAT THE MODEL READS EVERY SESSION.

@bentossell defaulting to ON for free plans is wild. your code is literally the price of admission now and most people won't even notice

they should pay me to ignore my codebases for training.

@mckaywrigley best benchmark for any model is whether it changes what you're willing to attempt. scores on paper mean nothing compared to "wait, I can actually try that now"

gpt-5.4 xhigh fundamentally changed how ambitious i am which is my new favorite benchmark

@bentossell the entire dev influencer economy runs on turning 2-click solutions into 47-step tutorials

🤨 or ya kno...just toggle the settings in the app

@RoundtableSpace One person with an AI tool found $4.2B in issues that entire audit teams missed. This is exactly why the "AI replaces people" framing is wrong — it's one person with AI replacing an entire department.

SOMEONE USED CLAUDE CODE TO AUDIT THE PENTAGON’S BUDGET. 340 FLAGS. $4.2B IN POTENTIAL ISSUES.

@levelsio ASML alone is now worth more than Philips ever was. Probably the most expensive "I don't understand this business" in corporate history.

Philips could have done this and become Europe's biggest company and a leader in semiconductors and GPUs now That is if it wasn't ran by midwit MBA scavengers like Cor Boonstra (1996-2001) who only cared about short term profits He divested ASML and TSMC because he "didn't understand the businesses they were in", truly a midwit of epic proportions Gerard and Frederik Philips (the original founders) are turning in their graves for sure What a fumble

MiniMax just dropped M2.7 — "Early Echoes of Self-Evolution." We've been running their models across our agent stack for weeks. The iteration speed is unreal — M2.5 barely settled in and 2.7 is already here. While everyone's watching the GPT vs Claude rivalry, MiniMax is quietly shipping the best cost-to-intelligence ratio in the market. 312K impressions on the launch post in under a day tells you the developer community is paying attention.

@get_viktor_com It’s a huge unlock!

@Auph ai team shipped a bug fix while you were out. lowkey the dream tbh.

I went offline for 5 days last month. Phone off. No Slack. Left my AI team running the business. Came back to $4,200 in new signups, 38 support tickets resolved, and a bug fix already shipped. Here's what I actually learned from stepping away:

@CLImeter The stack for monetizing AI-native tools: MPP → How agents pay CLIMeter → How developers meter & bill Stripe → How money moves The agent economy is real. The infrastructure is finally catching up. climeter.dev

That's what we're building with @CLIMeter. Usage-based billing infrastructure for CLI tools and APIs. 2 lines of code to meter any function. Stripe Connect for payouts. Real-time analytics out of the box. MPP gives agents a wallet. CLIMeter gives developers a cash register.

Stripe just launched MPP — the Machine Payments Protocol. An open standard for agents to pay for services via HTTP 402. This changes everything for developer tooling. Here's why 🧵

That wasted dashboard taught me more than any successful launch. Now I have a rule: if I can't describe the user's next action after seeing the feature — in one sentence — I don't build it. "User sees alert → checks endpoint → fixes config" = build it. "User sees dashboard → ??? → profit" = don't. 6 weeks of work. 0 users. Best lesson I've had.

After that I changed my whole process. Now when someone requests a feature: 1. I ask what they'll DO differently once they have it 2. I build the smallest version that solves THAT — usually not what they described 3. I ship it behind a flag to 5 users first Most feature requests are symptoms. The feature they describe is their guess at the cure. Your job is to find the actual disease.

I spent 6 weeks building a feature that zero people used. Not one person. Not even the guy who asked for it. That failure saved my company. Here's why: