How I actually route between models : Tweet drafts : Sonnet 4.6 Long-form articles : Opus 4.6 Code work : Kimi 2.6 Agentic loops : Kimi 2.6 KOL research : Grok 4.3 Quick facts : Perplexity Pro Image gen : GPT-Image-2 Voice consistency : Sonnet 4.6 Boilerplate : Qwen 3 local Yes, single-model setups are why your AI bill is 10x mine

How I actually route between models : Tweet drafts : Sonnet 4.6 Long-form articles : Opus 4.6 Code work : Kimi 2.6 Agentic loops : Kimi 2.6 KOL research : Grok 4.3 Quick facts : Perplexity Pro Image gen : GPT-Image-2 Voice consistency : Sonnet 4.6 Boilerplate : Qwen 3 local Yes, single-model setups are why your AI bill is 10x mine

GOOGLE JUST SHOWED HOW TO BUILD A PRODUCTION-GRADE FINANCIAL ANALYST IN UNDER 10 MINUTES they dropped a full tutorial using Gemini 3 inside Vertex AI Studio and the workflow is insane. - type a slash command like /build - AI generates the code, the API keys and creates the app instantly - handles the data, the diagrams and the evaluation automatically - zero manual setup, zero configuration the whole thing is vibe coding at a production level. no boilerplate, no infrastructure headaches, just prompt and ship.

Met a guy making $3.6 million a year With one of the cleanest digital plays I've ever heard of He scrapes the App Store for apps with 50k+ downloads but no updates in 18+ months DMs the developers with $2-3k cash offers. Most accept fast, they've moved on Hires a Filipino dev for $400/month to add subscriptions and refresh the listing Each app starts pulling $800-3,000/month passive Owns 220+ across categories he doesn't even use Spends 5 hours a week on the whole portfolio Inspiring

startup idea for you use OpenHands (75k+ github stars) + 131 free subagents to sell a "done-for-you AI engineering team" to SMBs that need custom software what's OpenHands? open-source agent runtime that runs Claude/GPT as actual software engineers. they read your codebase, edit files, run tests, open PRs idea: 1. self-host OpenHands on a $20/mo VPS. claude code walks you through setup in an afternoon 2. pick one niche. real estate brokerages, dental practices, law firms, marketing agencies. SMBs that need custom software but can't afford a developer 3. wrap it in their language. "your AI engineering team for dental practices" not "an OpenHands instance with 131 subagents." 4. install the relevant subagents from VoltAgent. crm-specialist for real estate, hipaa-auditor for healthcare, document-automation for law firms 5. plug in MCP servers from the 14k+ available. GitHub, Stripe, Twilio, Postgres, Calendly. now your AI team can ship, deploy, integrate, and notify 6. charge $2,000-5,000/month per client. nothing compared to a $15k/mo dev shop or a $25k/mo junior hire. you're 5x cheaper and the work doesn't stop overnight 7. build one landing page. one onboarding call. record the AGENTS.md setup once. the rest is supervision 8. become the "AI engineering team for [niche]" person on X, LinkedIn, YouTube. share what your agents shipped this week. case studies sell themselves 9. reinvest profits into vertical-specific agents. a "patient-intake-automator" for dental. a "lease-document-generator" for real estate. now you own the vertical these businesses KNOW they need custom software. they hate hiring developers. they will never find OpenHands on github. they will google "outsource my software development." that's you open source is the new wholesale. the code is free. the orchestration is where the margin lives one person can do this. two-person team scales to $50k/mo. you don't need funding. you don't need an office. you need a laptop, a niche, and the willingness to start someone is going to do this. might as well be you p.s. repo into the article below

Anthropic's Claude team just showed the real fix to a $4,200/month AI coding bill 15-minutes. free. by the people who built Claude one person + Skills + smart routing = the same shipping speed at 7% of the cost worth more than any $500 vibe-coding course Bookmark & watch today

Jane Street pays $750k/year for quants who can run neural networks across thousands of market signals This 1-hour Cornell lecture by Marcos Lopez de Prado gives you the same framework those quants get paid $60k/month for Bookmark & watch today. Then read the article below to repeat

GTA 6 isn't out yet and it's already a better business school than YC: 1. Take 10 years to ship your MVP. release date is whenever nobody cared GTA 6 was 12 years coming. 200M+ pre-orders already. ship when it's right, not when investors push you 2. Burn $2 billion on development. don't apologize the cheapest cofounder in the room is always the most expensive in the cap table. fund the vision or ship a knockoff 3. One trailer broke YouTube hype isn't marketing. hype is patience compounded into a single 90-second drop 4. Two protagonists > one solo founder is for content creators. real companies have a Jason AND a Lucia 5. Online mode is where the real money lives GTA V cost $60. GTA Online printed $8 billion in DLC. your "core product" is a loss leader for the recurring rev underneath it 6. Miami is your TAM. don't argue with the map trying to expand to liberty city in your seed round is how Series A's die 7. The hype before launch IS the launch GTA 6 isn't out and it already won 2026. nobody plays a game with no waitlist. nobody buys a tool with no hype. build the trailer before you build the product. 8. You only get a few shots. ship the kind of thing other people copy for 12 years GTA V shaped the industry for over a decade. if your roadmap doesn't have a 12-year industry-shaping move, you're building the wrong thing study this.

Anthropic just confirmed AI agents can ship FULL products end-to-end with Claude watched this conversation with Emergent's team and one line made me hit pause: "agents that can plan, build, debug, recover, and ship full-stack products" that's not autocomplete that's not pair programming that's a delivery loop where the human becomes the PM and the agent becomes the team I've been seeing this exact shape emerge in my own workflow for the past 6 months: - I write the ticket - the agent plans the implementation - the agent writes, tests, hits errors, recovers - I review the PR and ship what Emergent's building (and what they unpack in this interview) is the productized version of that loop no stack to set up. no environment to manage. no editor open you just describe the product. the agents ship it [ what this changes for builders ]: - the bottleneck moves from "can the model code this" to "do I know what I want" - one builder ships what used to take a 5-person team - the work isn't writing code anymore, it's directing agents that write code no fluff, no hype. just a clear breakdown of where AI coding is actually heading VIDEO YOU CAN WATCH BELOW worth more than any $500 vibe-coding course

Сreator of Claude Code just did a 30-minute Claude vibe-coding live session with creator of Bun 32 minutes. free. By the person who built it. 100% of Boris’s code is written by Claude. It's the best vibe-coding masterclass you’ll watch this week. One video replace 10 paid vibe-coding courses.

A 21-year-old in Lisbon asked to borrow my charger at a co-living last week We got to talking. He turned his laptop around and showed me his Stripe $27,400 last month. Faceless YouTube Shorts I asked which channel was his face. He laughed lol He hasn't shot a single video A 9,000-star open-source script fetches Reddit threads. Google's free TTS narrates them. Minecraft gameplay loops in the background. The script overlays comment cards synced to the narration Total build cost: $0. Month 1: $9. Month 4: $1,100. Last month alone: $4,800 on his best channel. Stacked across 6 channels, $27,400 His phone buzzed three times while we talked... +$12. +$8. +$3. A real faceless YouTube creator films 6 hours of voiceover a week, edits 4 hours per video, pays an editor $80 per short, and burns weekends on thumbnails His 6 channels publish 24 videos a day. His weekly time investment is 90 minutes of approving titles He pays his Lisbon rent with what one channel earns. The other 5 are insurance The script has been free on GitHub since 2022. 9,000 stars Three other people at the co-living are running their first script this weekend You have a laptop. You have one free Sunday Next time someone at the co-living shows their Stripe. The question is whose

🚨USE THIS GUIDE TO PROTECT YOUR COMPUTER FROM NPM HACKS THAT STEAL EVERYTHING IN ONE INSTALL TanStack, a code library used in millions of web apps, got hacked on Monday one install steal every password, key, and credential on your computer this is far not the first hack this month and definitely just the beginning Here's how to protect your machine: [ 1. lock down npm with a 7-day cooldown ]: open ~/.npmrc. keep all existing lines (auth tokens, registry config). append: """ min-release-age=7 minimum-release-age=10080 save-exact=true """ this makes npm refuse any package version published in the last 7 days. attack windows are usually under 24 hours, you skip them entirely [ 2. same cooldown for bun ]: open ~/.bunfig.toml (create if missing). append: """ [install] minimumReleaseAge = 604800 """ 7 days in seconds, same protection in bun's config format [ 3. pin every npm dependency in your projects ]: open package.json. strip every ^ and ~ from versions under: - dependencies - devDependencies - peerDependencies exact versions only. commit your lockfile (bun.lock / package-lock.json / pnpm-lock.yaml) to git so the resolved tree is frozen [ 4. same discipline for python ]: if you use uv (the modern default): commit uv.lock, run `uv sync` to restore if you use pip: requirements.txt with pinned versions, run `pip install --require-hashes -r requirements.txt` if you use poetry: commit poetry.lock, use `poetry install --no-update` never trust `>=` or `~=` ranges in production projects [ 5. pin GitHub Actions to commit SHAs ]: stop using `actions/checkout@v4`. switch to: ```yaml uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 ``` every third-party action runs in your CI with access to repo secrets. pinning the SHA means a compromised maintainer cannot push malicious code into your pipeline [ 6. audit your IDE extensions ]: Cursor, VSCode, Windsurf, every extension is code running with full access to your filesystem, clipboard, and open files - review installed extensions monthly - remove anything you haven't actively used in 30 days - check the publisher, install count, last update, GitHub source before installing - never install extensions that ask for permissions they shouldn't need [ 7. lock down API tokens and credentials ]: - never commit .env to git (add to .gitignore on every project, no exceptions) - use minimum-scope tokens: one repo, one bucket, one workspace - rotate API keys every 90 days, force expiry on critical ones - separate tokens by environment (dev / staging / prod) - enable 2FA on every developer account: GitHub, npm, PyPI, Cloudflare, AWS, OpenAI, Anthropic - never paste secrets into Claude / ChatGPT / any AI chat, they're logged [ 8. set up continuous monitoring ]: - enable Dependabot alerts on every repo (free, takes 2 minutes) - install or Snyk for live vulnerability scanning - subscribe to the npm and PyPI security advisory feeds - follow @snyksec, @socketsecurity, @stepsecurity for early warnings [ 9. how to detect if you got the TanStack payload ]: if you installed any @tanstack/* package between 19:20 and 19:30 UTC on Monday, May 11, treat the host as compromised the detection signature: a malicious manifest contains "optionalDependencies": { "@tanstack/setup": "github:tanstack/router#79ac49ee#..." } any version with this entry is compromised. the payload is delivered via the git-resolved optionalDependency, whose prepare script runs router_init.js (~2.3 MB, smuggled into the tarball root) how to check fast: - search your lockfile for `@tanstack/setup` references - search node_modules for any `router_init.js` file - if either shows up, jump to section 10 immediately future attacks will use the same trick: malicious code hidden in optionalDependencies or postinstall/prepare scripts. add `grep -r "postinstall\|prepare" node_modules/*/package.json | grep -iE "curl|wget|eval|base64"` to your weekly audit routine [ 10. emergency response if you're already compromised ]: ran an install during a suspected attack window? do this in this exact order: - rotate every cloud credential: AWS, GCP, Kubernetes service accounts, Vault tokens - rotate GitHub personal access tokens, OAuth tokens, SSH keys - revoke active sessions on GitHub, npm, PyPI, all cloud providers - audit AWS / GCP / Kubernetes / Vault audit logs for the last several hours, look for unauthorized API calls - pin to the last known-good version of every @tanstack package and reinstall from a clean lockfile - check ~/.npm, ~/.config, browser cookie stores for tampered files - wipe ~/.bash_history, ~/.zsh_history, local AI chat logs that might have secrets - if you ran the install as root or with sudo: nuke the machine, reinstall from scratch, restore code from git only [ why this matters right now ]: attack chains in supply chain hacks usually only last a few hours before the malicious package gets caught and yanked. during those hours, every developer running `npm install` becomes a victim worse: npm couldn't even UNPUBLISH most of the TanStack malicious versions because of third-party dependencies. the registry's own safeguards are part of the problem. you can't rely on the platform, you have to protect yourself the patterns from the last 18 months: - npm: TanStack on May 11 (42 packages, AWS/GCP/Vault credentials), Shai-Hulud worm hit Nx packages, chalk/debug/ansi-styles worm hit qix maintainer - GitHub Actions: tj-actions/changed-files compromise exposed thousands of repos' secrets - PyPI: ongoing typosquatting campaigns targeting AI/ML packages - IDE extensions: VSCode marketplace caught hosting credential stealers the frequency is rising because the payoff is massive one compromised package lands on millions of machines in hours if you don't lock this down tonight, you're exposed to the next one. and there will be one 30 minutes tonight, or wait for the next attack to clean out your machine Full TanStack breakdown:

Karpathy said one sentence at AI Ascent 2026 worth $4,000/month to anyone running Claude Code. "context engineering is the new vibe coding." every cost-cutting article on dev-X is downstream of that sentence. "switch to a cheaper model" that's the surface fix. the actual lever is upstream: stop sending tokens you didn't need to send. a typical Claude Code session: / Cursor auto-loads 47,000 tokens of repo context / you ask Claude to fix 30 lines / Claude reads 47,000 tokens to find the 30 that matter / Claude returns a 200-token fix / cycle repeats 50 times cost: $35/day on a "small" workday. actual signal: 30 lines. you didn't pay Claude to fix the bug. you paid Claude to read your entire repo 50 times so it could find 30 lines. Karpathy's $4,000/month sentence is free. nobody on dev-X has internalized it yet.

Andrej Karpathy: "90% of your AI coding bill is paying for context you didn't need to send" Here are 10 things senior AI engineers stopped wasting tokens on: 1. Auto-context loading 50 files for a 30-line fix: $1.20/turn for tokens you'll never read. 80% input waste, every session 2. Running Opus on lint, format, and rename tasks: $0.60 for what Haiku nails at $0.02. 30x overpay on the cleanup tier 3. Tool call loops that re-send the full repo on every retry: 5x context cost per agentic flow. fixing these alone cuts 30-50% of bills 4. Sonnet as the default model: Kimi 2.6 matches its quality on most coding tasks at 1/6 the cost. defaulting to Sonnet in 2026 is leaving 60-70% on the table 5. Streaming responses on stable-prefix workflows: kills your prompt cache. you pay 10x for tokens that should have cost cents 6. "Just in case" file includes: 80,000-token prompts that should be 3,000. context bloat is the silent budget killer 7. Per-session knowledge rebuilding: 10 min writing a SKILL.md once vs paying agents to re-figure out your environment every run. $4 vs $0.30 per execution 8. Single-model setups: premium tier on every task is the most expensive mistake in AI coding right now 9. Asking 10 small questions one at a time: 10 separate input prefix charges vs one batched call. 70-90% savings on routine workflows 10. Buying Claude Pro + ChatGPT Plus + Cursor Pro: you seriously use one. the other two are habit, not utility what actually compounds instead: - context discipline (grep before fetching, always) - prompt caching on every stable prefix - multi-model routing (Kimi 2.6 default, Opus for the 10%) - graduated skills via SKILL.md files - profiling tool calls before optimizing prompts - the routing mindset (right model for right task) in 12 months, the gap between developers shipping on $200/month and $4,000/month budgets won't be skill it'll be how well they route study this.

SOMEONE JUST OPEN-SOURCED THE SCRIPT BEHIND EVERY FACELESS YOUTUBE CHANNEL a developer built a Python script that turns ANY Reddit thread into a finished, ready-to-upload YouTube Short or TikTok video every faceless YouTube creator making $2k-$10k/month is running this exact workflow now anyone with Python installed can run it for FREE [ the numbers are insane ]: - GitHub stars: 9,000+ - cost to install: $0 - time to first generated video: under 10 minutes - output format: 1080x1920 MP4 ready for YouTube Shorts or TikTok - script length: ~300 lines of Python - typical revenue for a working faceless channel: $500-$10,000/month - price of the "build a faceless YouTube empire" course this replaces: $497-$2,000 [ how the workflow actually works ]: > fetch top Reddit threads via the official Reddit API (no scraping, no Selenium) > screenshot the post title and the top-rated comments > AI voiceover narration (free Google TTS, or premium voices via API) > background footage looped from Minecraft, Subway Surfers, or Trackmania > auto-overlay each comment card synced to the narration timing > export 1080x1920 MP4 ready to upload no Premiere Pro, no DaVinci Resolve, no voice acting, no manual editing press run, get a finished video [ the grift opportunity is wide open ]: > run a faceless niche channel (AITA, Reddit drama, trivia, scary stories, relationship advice) > stack YouTube Creator Fund + TikTok Creator Fund revenue: $500-$10,000/month per channel at scale > spin up 5-10 channels at once with different niches and let them compound > white-label it as a service for small businesses: $300-$1,000 per finished video > wrap a clean UI around it and sell as a $29/month SaaS (multiple people are already doing this) > sell the channel once it grows past 50k subs: typical flip prices $5,000-$100,000 on every "faceless YouTube empire" course you've seen on X is teaching this exact pipeline REPO: 100% OPEN SOURCE, FREE

🚨 SOMEONE JUST KILLED THE COACHING INDUSTRY a developer spent 22,000 hours building a Personal AI Operating System on top of Claude Code now anyone with a terminal can install it for FREE it knows your goals, remembers every decision you've made, and prepares your morning briefing while you sleep [ the numbers are insane ]: - hours of dev work in it: 22,000 - sessions logged: 6,000 - time saved per day: 2-3 hours - GitHub stars: 12,100 - skills built in: 45 - workflows wired up: 171 - safety hooks: 37 - cost to install: $0 [ the science is wild too ]: no embeddings, no vector databases, no AI magic you can't read every memory, decision, and context lives in plain markdown files you read it with cat, search it with ripgrep, version it with git 4 memory types compound over time: - work memory (active projects, open decisions) - knowledge memory (domain expertise, research) - people memory (contacts, companies, relationships) - learning memory (patterns, mistakes, what works for YOU) every complex task routes through a 7-step cycle: OBSERVE → THINK → PLAN → BUILD → EXECUTE → VERIFY → LEARN privacy is enforced by CODE, not prompts a hook called ContainmentGuard physically blocks sensitive data from being written outside designated zones [ the grift opportunity is even wilder ]: freelancers are already charging $500-2,000 per personal AI setup for executives, founders, and busy operators one person + one weekend = a consulting business that didn't exist 6 months ago every AI productivity app you're paying $30/month for is replaceable by 4 hours of setup work and this one repo REPO: 100% OPEN SOURCE, FREE

Set up Claude to run a digital product business while I sleep 30 days later: $847 in passive sales, I touched it twice What I built in one Saturday afternoon (4 hours): - a Claude agent that researches Notion template gaps every Sunday at 9am - picks the strongest opportunity from the research - generates the template, the cover image, and the Gumroad listing copy - uploads to Gumroad via their API - schedules one launch tweet via Postiz - logs everything to a Notion database What runs fully autonomously (every Sunday): - trend research - template creation - cover image generation - listing upload - launch tweet What I did during the 30 days: - checked in twice to make sure nothing broke - one template got flagged for review, cleared it in 5 minutes - otherwise: nothing Results after 30 days: - 4 new templates live on Gumroad - 23 total sales across them - $847 in revenue - best seller: an AI Engineering Sprint Tracker ($14, sold 6 times) - worst seller: 0 sales, 2 refunds, killed the listing [ How you can do the same with any digital product ]: 1. pick a marketplace with an API: Gumroad, Lemonsqueezy, Sellfy (Etsy still doesn't have one) 2. pick a niche you understand: Notion, design assets, prompt packs, Claude skills 3. write the Claude agent: research, generate, list, post 4. host the schedule on Replit, Vercel cron, or a tiny VPS 5. approve nothing daily, check in weekly you shouldn't repeat my approach I just decided to share with you what I could do as side hustle while building 3 others products now it's appliable to all digital products find the idea, great marketplace where you can sell this, complete idea with Claude and sell it