$1 billion from neighborhood schools to benefit wealthy families - which is exactly what white nationalist billionaires directed @GregAbbott_TX to do. Greg doesn't get much done, but he does deliver for his benefactors.
https://t.co/1wCx5Jf6nm
The corruption of the Texas voucher program already…
The lies that @GregAbbott_TX told to pass it…
The transfer of wealth from our poorest Texans of color to rich white people…
The sheer egregious immorality of it…
No #txlege member supporting it should be reelected!
OpenClaw: free
Mac Mini: $599
Claude Max: $200/mo
Keyboard: $25
Monitor: $195
Mouse: $20
having to rebuild your entire agentic stack on a holiday weekend because Anthropic moved the goalposts:
priceless
Anthropic is shutting down subscription usage for tools like OpenClaw tomorrow.
Fortunately I can swap in Codex in my config and all my bot’s skills still work as expected.
Build your stacks to avoid vendor lock-in.
🚨BREAKING: Block (Jack Dorsey's company) just open-sourced a local AI agent that goes way beyond code suggestions.
It's called Goose and it installs, executes, edits, and tests with any LLM fully on your machine.
100% Opensource.
Drop everything you're doing and watch this now. RIGHT NOW.
Ari K and Schuyler Brown, I have no idea who you 2 beautiful bastards are, but you're instant legends. Hopefully someone in the comments knows and tags.
This guy literally automated his entire social media with one free AI agent.
No team. No scheduling tools. No VA.
Here's exactly how he did it 👇
The agent is called Hermes. It's free and open source.
Here's what it's running on autopilot right now:
→ Scans Reddit every 24 hours for trending topics
→ Writes posts based on breaking news
→ Generates custom images with Nano Banana 2
→ Posts directly to X, TikTok, and Instagram with captions and hashtags
→ Pulls daily analytics and flags what's working
→ Researches competitors and shows what's getting engagement
One post already hit 1,000 views.
He didn't write it. He didn't post it. He didn't even check it.
Here's the part most people skip:
Day one it won't be good.
You give it feedback. It writes notes on what went wrong. It improves the skill file.
By day 7 it's better. By day 30 it knows your voice.
It's called a closed learning loop. Every task makes the next one sharper.
The setup takes an afternoon:
Install Hermes from GitHub.
Connect a free Qwen 3.6 API key from OpenRouter.
Add Firecrawl for web research.
Create your first skill. Give it feedback. Let it run.
That's the whole system.
Free. Open source. Gets better every single day.
Save this. Then go install it.
Do you even understand what this means?
An open source model just released that is:
• Outperforms models 20x its size
• Can run on a base model Mac Mini
• Is AMERICAN 🇺🇸
If you have a base model Mac Mini you can have unlimited super intelligence on your desk. For free.
Sonnet 4.5 was released 5 months ago
In 5 months that level of intelligence went from frontier to free on your desk
And not only that, can run on any basically any computer out there
If you have even a remotely modern computer, do the following immediately:
1. Download LM Studio
2. Go to your OpenClaw and ask which of these new Gemma 4 models is best for your hardware
3. Have it walk you through downloading and loading it
4. Build apps with it knowing you are using your own personal, private super intelligence on your desk
The people denying this is the future are so beyond lost.
things keeping me up at night about where AI is actually going:
1. "ambient businesses" are coming. basically, agents monitor the market, handle customers, execute decisions. you check in every few days. 7-8 figure businesses with almost no daily human input. we're early but it's happening.
2. you can now build a company in an hour. grab an idea, vibe code it, add stripe, get a customer. the old timeline was 12 months to first revenue. that's just gone.
3. the internet went app store era → API economy → agent economy. we're now in the part where agents hire other agents on the fly. fixed tech stacks are dissolving. nobody's built the glassdoor for AI agents yet.
4. vertical AI is replacing headcount. that's 10x the market that vertical SaaS ever touched. boring industries like insurance, construction, legal, elder care are the goldmine.
5. SaaS pricing is flipping from per seat to per result. someone is going to build a billion dollar business just by converting legacy SaaS companies to outcome based pricing
6. a whole graveyard of generic SaaS is coming. basic CRMs, analytics dashboards, template marketplaces, scheduling tools. agents just do it better. lots of incumbent saas that are generic and not reinventing themselves right now will struggle/reprice.
7. "human made" is becoming the new luxury. porsche already ran a 100% human made ad campaign. no AI is going to be a premium label like organic is for food. there's a real business in that certification.
8. IRL is having a renaissance. when everything is AI generated, being in a room with other humans becomes scarce. karaoke bars, escape rooms, live music, co-working. the experience economy is accelerating.
9. founder market fit is dead. founder agent fit is what matters now. can you direct a fleet of agents like a film director? that's the new unfair advantage.
10. ghost team org charts are coming. two real people, twelve agents with names, faces, personalities. your about page is going to look the same
11. 1000 true fans is now 100. agents cut your costs so much that 100 customers at $500/mo is a real solo business. micro monopolies across multiple niches. this is the playbook.
12. context window poisoning is the new phishing. cybersecurity hasn't caught up. agents have access to your files, email, bank accounts. bad things are going to happen. it's also a massive startup opportunity.
13. the window is open for maybe 12-24 months. then the moats get built like data, brand, trust, network
14. build cost is basically zero. audiences are underpriced. niches are wide open.
idk about you but i'm not sleeping much
so much opportunity
this is the most asymmetric time to be building a startup.
full episode on @startupideaspod to get your creative juices flowing (latest episode get it where you listen/watch pods)
no advertisers, just pure ideas to help you
im rooting for you
don't just bookmark share with a friend
watch
🚨BREAKING: The team behind a marketing agency generating millions in revenue just open sourced their entire Claude Code skill set for growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation.
It's called AI Marketing Skills and these are not prompts or toy demos. They are complete Python workflows with real statistical methods, scoring algorithms, expert panels, and automation pipelines that you drop into Claude Code and run against live business operations today.
The Growth Engine skill uses bootstrap confidence intervals and Mann-Whitney U tests on marketing experiment results, which is actual statistics, not vibes.
The Deal Resurrector tracks contacts who leave companies and routes outreach to their new employers automatically.
→ Expert Panel skill recursively scores content with domain-specific personas until quality hits 90 or above
→ ICP Learner rewrites your ideal customer profile automatically based on actual win and loss data
→ RB2B Router does intent scoring, seniority dedup, and agency classification before routing to outbound sequences
MIT License. 100% Opensource.
Link in comments.
We are launching a big project today with MIT —
The Electricity Price Hub!
You can view monthly electricity prices per kwh and avg. bills for every major utility in the country going back to Jan 2020.
https://t.co/xcyd51Z8cy
Claude managed indoor grow: ✅
AI managed plant-research pods: ✅
All autonomously? ✅
The fact that this was all funded through a memecoin? Priceless.
No VCs, no bullshit. No pitch decks, no product to market. This *is* the product 🧵
Six months ago, I had an app idea but no developer, no budget, and no clue where to start.
Today, I built the whole thing for free in under an hour. Here's what changed.
I discovered Google Stitch and Google Anti-Gravity.
Stitch is an AI-powered UI design tool from Google Labs.
You describe your app, and it generates real structured UI not a flat image, actual components with colors, spacing, and interactive states.
Anti-Gravity is a standalone AI coding environment.
It doesn't just suggest code.
It dispatches agents that plan, write, test, and verify your app autonomously.
The moment Stitch exports your front end directly into Anti-Gravity via MCP protocol that's when it clicks.
The design and the code are talking to each other. And you're just in the manager seat.
This isn't the future. It's available right now. And it's free.
Save this video, you'll need it the day you finally decide to build. 🔖
Want the SOP? DM me.
the problem with Claude Code leaking/wasting tokens is very apparent now
everyone been sharing screenshots, so i created a full guide to limit/stop the waste
besides applying those tips in the guide, it's important to track your token usage via the right tools
luckily there are two open source tools just for this, one has 12k stars and the other 7k
Here is how to track every Claude token usage in 10 steps with them (so you don't waste Claude tokens):
1. Install ccusage. Zero setup. npx ccusage@latest -- reads your local logs instantly. No config needed.
2. Morning weigh-in before you code. Run ccusage daily every morning. See what yesterday cost and where cache saved you. 2 seconds.
3. Find your expensive sessions. ccusage session breaks it down per conversation. You'll spot the one that ballooned to 200K tokens.
4. Map your 5-hour billing windows. ccusage blocks shows usage across reset cycles. Are you front-loading hour one and sitting idle for four?
5. Install the live monitor. pip install claude-code-usage-monitor -- different tool, different job. Watches tokens burn in real time.
6. Split terminal: Claude left, monitor right. claude-monitor --plan pro gives you live progress bar, burn rate, and time-to-limit.
7. Watch burn rate on complex tasks. Agent teams, large file reads, Opus + high effort. When the monitor spikes, switch model, lower effort, or /compact.
8. Track weekly trends. ccusage monthly shows if spending is climbing or dropping. Compare week over week. The delta is your progress.
9. Check cache read ratios. Low cache reads relative to total input = broken caching. Either the prefix is changing, TTL is expiring, or you never enabled it.
10. Set a weekly token budget. Week 1: baseline (no changes). Week 2: apply tips. Track with ccusage weekly, stay on pace with claude-monitor daily.
CCusage: https://t.co/AkvepPyU4l
ccusage is your rearview mirror (what happened).
Claude Code Usage Monitor: https://t.co/2N57PpgUjA
claude-monitor is your speedometer (what's happening now).