virtualuncle

OpenClaw: The Complete 2026 Deep Dive (Install, Cost, Hardware, Real Reviews & More) @openclaw @steipete @a16z @iamlukethedev @danshipper @heyrobinai virtualuncle.com/openclaw-compl…

@Teknium I'll take full credit, youre welcome 🤗

We made it to the NUMBER ONE spot on Github Trending!!! Thank you everyone!!

@cowguin @Steezehuman thank you so much!!

@virtualunc @Steezehuman Here's some engagement.

Small accounts tweeting to absolutely ZERO engagement

Installing Hermes Agent today

@sharbel if orange book is the technical map, our guide is the "should you even bother and what will it actually cost you" part 🫡 virtualuncle.com/hermes-agent-c…

🚨 Hermes Agent is one of the most powerful open source AI agent frameworks alive. But... nobody knows how to use it. This just changed. Someone mapped the entire ecosystem. 568 GitHub stars in 48 hours. It's called hermes-agent-orange-book. A complete guide from zero to production. 80+ tools, skills, plugins, and integrations documented in one place. Open the repo. Follow the Orange Book chapter by chapter and deploy a fully autonomous agent in an afternoon. Every major AI lab has internal guides like this. Now you have one too.

@trq212 this is going to be 90% "no not that file" and "wait why did it delete my entire components folder" and i will watch every second of it

I want to do some streams where I work with non-technical people using Claude Code to figure out how they might be able to improve their process. My feeling is that just a few tips could make a big difference in efficiency. Any mutuals interested?

@Jason bryan's out here getting more congratulations than most series a announcements

We’re getting steaks and cigars tonight to celebrate my pal Bryan losing his virginity! Whose in?!?

@chddaniel it can also mass hallucinate an entire codebase that looks perfect until a real user touches it

so you're saying Claude Code Opus 4.6 can now... - research companies worth $1B - oneshot their entire software - launch it for me - self-maintain in the long run without even needing my input..??? it's so over...

@davidonchainx vibe debugging is when you stare at an error message for 20 minutes then close your laptop and hope it fixes itself

My whole life has been a vibe lately - Vibe coding - Vibe posting - Vibe earning - Vibe cooking - Vibe sleeping 2026 is all about the vibes

Soo @Meta spent $135 billion and fired 15,000 people to build an AI model that ranks 4th on the leaderboard. Thats $33 billion per ranking position, at this rate they could have just bought the companies that ranked 1-3

@WesRoth 1 trillion parameters is wild but the real question is whether it actually does anything better or just does the same things more expensively. muse spark launched yesterday at a fraction of that size and competes on most benchmarks

Grok 4.20 is moving at breakneck speed. A massive 1-Trillion parameter model is reportedly slated for release in just 2 to 3 weeks, followed closely by an even larger 1.5-Trillion parameter variant in 4 to 5 weeks.

@Hesamation "killed" is doing a lot of heavy lifting here. managed agents handles the simple stuff but anything that needs persistent memory, custom skills, or messaging integration still needs openclaw or hermes. I feel like anthropic built the floor not the ceiling

Anthropic killed 1000+ agent startups with Managed Agents: > coding agents that ship prs > finance bots that process docs instantly > productivity agents that join your team > infra you'd spend months building THEY DID IT AGAIN.

@Hesamation the part nobody talks about is most of these "ai replacement" layoffs arent even replacing people with ai yet. the ai systems supposedly taking over arent fully built. companies are cutting now and figuring out the ai part later

how the 30,000 Oracle employees, 16,000 Amazon employees, and 15,000 Microsoft employees feel right now after being laid off by their companies for "investment in AI data centers".

the meta part is interesting because muse spark isnt even their best model anymore, its their "first step" model from a lab they rebuilt from scratch 9 months ago. closed source too which is a huge shift from the llama strategy. feels like theyre admitting open source wasnt working at the frontier

So we now have a pretty good picture of the state of the frontier AI model makers. US closed source models continue to lead. Google, OpenAI, and Anthropic stand well ahead of the pack, and may have signs of recursive self-improvement. xAI has fallen from frontier status for now (though promises to return shortly). Meta re-entered the space today with a not-quite-frontier closed source model, but an approach that suggests that they might be back in the race. All the other US players seem far behind. On the Chinese model front, Alibaba (Qwen), Moonshot (Kimi), MiniMax, Xiaomi (MiMo), Deepseek, and Z (GLM) all still appear to be very much in the race, though the best Chinese models are still 7-9+ months behind released US closed source models. For some of these players, especially Xiaomi and Alibaba, their commitment to open weights appear to be slipping. Outside of China, Mistral seems to have fallen from frontier status.

anthropic did the same thing this week with mythos.. built a model specifically for finding zero-days, decided it was too dangerous to release publicly, now its only available to 40 partner companies through something called project glasswing. the "we built it but we cant ship it" era is here

The Axios story floating around about OpenAI limiting the release of their newest model Spud isn’t true. Just spoke to OpenAI, and it appears the story conflated two things. They do have a cyber product they are testing with a trusted tester group. But this is not the same thing as Spud. The Axios story has now been updated.

@steipete the mcp ecosystem went from "cool experiment" to "if your tool doesnt have an mcp server you basically dont exist" in like 3 months

GUYS WE FOUND THE GUY WHO BUILT THE GITHUB MCP SERVER

@elonmusk I showed this to my openclaw and it asked me to block you

🎯

the productized agency thesis is right but the "just use openclaw" part is doing a lot of heavy lifting.. the actual bottleneck isnt the ai, its prob getting clients to trust that an agent did the work. nobody wants to pay $5k/month and find out a robot wrote their seo audit. the agencies that win will be the ones that figure out how to make the human oversight part feel real without actually needing it imo.

THE CLEAREST PATH TO A $10M+ SOFTWARE EXIT in 2 YEARS (with AI and agents) building an agency right now is one of the most interesting business moves the productized agency had its moment in 2022. it collapsed because scaling humans is a nightmare. inconsistent output, people quitting, margins getting crushed. most of the founders (and creators) who tried it got burned and moved on but the thesis was right. the labor problem is just solved now with AI, claude code, openclaw etc. here's the actual playbook i'd run today: pick one painful deliverable for one specific buyer. like SEO content for e-commerce brands doing $1M+ but not "marketing." or like ad creatives for DTC brands spending $50k/month on meta. one thing. one customer. that's it then you build the AI workflow behind it. you're selling an outcome on a monthly retainer. $3-5k/month. 80%+ margins because your cost is compute and a few hours of QA "BuT tHaT'S nOt a BiG bUsInnesS" okay but you're still swinging for the fences because the agency IS the research and development for your agent SaaS every client is paying you to figure out what to automate. you're learning what breaks, what scales, what customers actually want. by month 4 you know exactly what to productize. you build the software on top of the workflow you've already proven works and already have customers paying for agency funds the agent SaaS. SaaS scales without the agency overhead. the clients become your first software customers now let's talk about what this actually looks like financially year 1: 10 clients at $4k/month. $480k revenue. 2 people. maybe $80k in costs including compute, tools, one part time VA. you're taking home $400k between two people while building the software in the background year 2: you launch the software. your 10 agency clients are the first to convert. they already trust you. they've seen the output. you charge $800/month for the software version. now you have recurring software revenue AND the agency still running year 3: agency is winding down or running on autopilot. software has 200 customers at $800/month. that's $1.9M ARR. 2-3 person team. 85% margins. you are now a very attractive acquisition target the exit math is interesting. SaaS at $1.9M ARR with strong retention trades at 5-8x revenue. that's a $10-15M exit for something two people built in 3 years starting with zero VC CAVEAT: Startups are hard. A lot needs to go right. But from a framework perspective, I think this probably the lowest risk, highest reward option for lots of of folks and most of the businesses cost $0 to start basically this is the most capital efficient path to a software exit that exists right now happy building

@NousResearch soo most open source projects ship one major release and disappear for 6 months.. the minimax partnership from yesterday plus this today is nous quietly becoming the default open source agent platform while everyone argues about benchmarks 🫡

Hermes Agent v0.8.0 is here. Full changelog below ↓