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Design inside your codebase. Introducing Impeccable 3.0: ▸ 1 skill, self-contained, 23 commands ▸ /impeccable live: pick in-browser, get prod-grade variants, accept writes to source ▸ reads+writes DESIGN.md + PRODUCT.md ▸ brand & product design

Paul Bakaus

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60,340 views • 4 months ago •via X (Twitter)

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Introducing Design OS—the missing design process between your idea and codebase. Step 1: Set your product vision Step 2: Design your screens Step 3: Export production-ready components Not mockups. Real components. Ready to build. Free & open source:

Introducing Design OS—the missing design process between your idea and codebase. Step 1: Set your product vision Step 2: Design your screens Step 3: Export production-ready components Not mockups. Real components. Ready to build. Free & open source:

Brian Casel

50,214 views • 8 months ago

Introducing Impeccable 3.5, the best way to design in production: iterate on real UI with your AI agent, in the codebase you actually ship. Turns out many popular design skills, including Impeccable and Anthropic's frontend-design, weren't actually very good at...design (the workflow was valuable, but the output didn't magically make LLMs like GPT great designers). We measured it across thousands of generations: 74% of pages used the cream AI-default background, 76% reached for extreme letter-spacing, 90%+ failed the contrast floor. So we started fixing slop systematically, specific to each model. The skill now compiles rules for the exact defects each model makes, instead of shipping one generic file to everyone. The biggest jump is in GPT-5.5 and Codex. Also new: ◆ It now knows the difference between a new project and an existing one. Existing codebase, it reads your design system and preserves your identity. Greenfield, it seeds a fresh palette from 129 hand-curated anchors so every cold start doesn't drift to the same safe colors. ◆ Live Mode is now in beta, and works at two scales. Type a direction into the new Steer bar, or speak it, and the agent reads the whole page and edits it in place. Or pick a single element, steer it with a sub-command, live-edit any copy, and accept the variant straight back to source. Insert mode scaffolds brand-new elements between the ones already there. Recovery survives HMR, hidden heroes, and dev-tool overlays. ◆ A rebuilt anti-pattern detector. Torn off jsdom and onto a real CSS cascade resolver: roughly 20x faster, dependency-free, and now small enough to run inline inside the skill, not just the CLI and extension. 14 new rules, 41 total. ◆ The skill keeps itself current, checking once a day and offering to update. Plus /impeccable init and a bare /impeccable that reads your repo and tells you the next move. Free, open source. Claude Code, Codex, Cursor, and more.

Paul Bakaus

103,249 views • 3 months ago

how to use Google's NEW open source Design.md + AI Skills to make your startup look like a $100 million company in 1 hour: 1. Design.md is an open source file from Google that captures the soul of a design. Typography, colors, spacing, all in one markdown file. You attach it to your prompt and your agent builds beautiful things every time. 2. Think of it this way. The HTML is the finished dish. The design.md is the recipe. The skills are the ingredients. Put them together and everything you build looks consistent and professional. 3. Don't create a design system from scratch. Find a brand you love. Linear, Stripe, Vercel, whatever resonates. Study it. Use ChatGPT or Claude to help you extract the design language into your own design.md file. 4. Build skills on top of your design.md. A landing page skill. A mobile app skill. A motion design skill. A slide deck skill. Each one references the same design.md so everything looks like it came from the same designer. 5. The biggest mistake people make: they nail one screen and then everything else looks generic. Design.md solves this. One file keeps every page, every format, every medium consistent. 6. Use it across everything. Your landing page. Your app. Your pitch deck. Your promo videos. Same DNA. Same taste. Same system. That's what separates a startup that looks real from one that looks vibe-coded. 7. Build a second brain for design inspiration. When you see something beautiful in the real world or online, capture it. Save it. When you're building something new, reference it. Taste is developed, not downloaded. 8. It's obvious but the difference between a product people trust and a product people bounce from is how it looks and feels. Design.md gives you that edge. you can watch below shoutout to Meng To for coming on The Startup Ideas Podcast (SIP) 🧃 and walking through his full workflow. if you want to use AI to actually build gorgeous designs, you'll want to use see this. watch

GREG ISENBERG

511,448 views • 4 months ago

Introducing Instant Agents. Your AI team for Shopify that actually does the work: “Build me a PDP for this product.” “Turn this Figma design into a live page.” “Test 3 variants and pick a winner.” “Create better product images.” Done. Instant Agents are there for you 24/7. We’ve trained AI to understand our product. This way you get the true power of AI in combination with the visual control of our no-code builder. Real layouts, real components. Published to Shopify in 1 click.

Introducing Instant Agents. Your AI team for Shopify that actually does the work: “Build me a PDP for this product.” “Turn this Figma design into a live page.” “Test 3 variants and pick a winner.” “Create better product images.” Done. Instant Agents are there for you 24/7. We’ve trained AI to understand our product. This way you get the true power of AI in combination with the visual control of our no-code builder. Real layouts, real components. Published to Shopify in 1 click.

Instant

12,500 views • 4 months ago

businesss owners spend weeks and $$$ launching their website so i built a solution to help them go live in pick your business category, aesthetic, and brand name > generate hero images, brand palettes and product shots in one-click deploy Netlify and go live immediately > your landing page comes with custom copy; edit in-line and re-deploy if needed > product menus are already calibrated to your business type > all requests runs through your Visa card in real time; no billing inputs or invoices this is command line commerce for merchants, by merchants your first site is on me comment "premiere" below or DM to get access

Mashiat

11,330 views • 4 months ago

🚨🇻🇪 YOU CAN'T MAKE THIS UP: MADURO SINGS "DON'T WORRY, BE HAPPY" WHILE MACHADO ESCAPES TO CLAIM NOBEL PRIZE New footage surfaced of Venezuelan dictator Maduro singing "Don't Worry, Be Happy" at a rally, ad-libbing the lyrics to say "Just peace, not war." The timing? Impeccable. This clip emerged just as Maria Corina Machado, the woman Maduro has hunted for 16 months, escaped Venezuela and arrived in Oslo to accept the Nobel Peace Prize for fighting his dictatorship. His secret police surrounded the U.S. Embassy thinking she was inside. She slipped out of the country anyway. Her team risked their lives to get her on that plane. Meanwhile, Maduro is on stage crooning about peace. The irony writes itself. Source: GloboNews

🚨🇻🇪 YOU CAN'T MAKE THIS UP: MADURO SINGS "DON'T WORRY, BE HAPPY" WHILE MACHADO ESCAPES TO CLAIM NOBEL PRIZE New footage surfaced of Venezuelan dictator Maduro singing "Don't Worry, Be Happy" at a rally, ad-libbing the lyrics to say "Just peace, not war." The timing? Impeccable. This clip emerged just as Maria Corina Machado, the woman Maduro has hunted for 16 months, escaped Venezuela and arrived in Oslo to accept the Nobel Peace Prize for fighting his dictatorship. His secret police surrounded the U.S. Embassy thinking she was inside. She slipped out of the country anyway. Her team risked their lives to get her on that plane. Meanwhile, Maduro is on stage crooning about peace. The irony writes itself. Source: GloboNews

Mario Nawfal

207,810 views • 9 months ago

Boris Cherny: "My job is to write loops." 5-day version you can copy for Claude Code Day 1: repo memory - write CLAUDE.md - include stack, test commands, code style, release rules, gotchas - add .claude/settings.json with the shell commands Claude can run Day 2: verification skill - pick 1 flow Claude keeps breaking - put the browser/API test in .claude/skills/ /scripts/ - make it return: pass/fail, failing step, screenshot/log path Day 3: commands Add these files: .claude/commands/babysit.md - checks your PRs - reads CI - handles obvious review nits - surfaces design questions .claude/commands/triage-issues.md - labels new issues - dedupes against existing ones - assigns owners .claude/commands/deploy-watch.md - checks the live app - reports regressions - avoids touching production Day 4: loops > /loop 5m /babysit > /loop 15m /triage-issues > /loop 5m /deploy-watch Day 5: overnight work - schedule /morning-report - schedule /deep-audit - write results to .claude/inbox/ - let your morning loop read from that folder The rule: every code-writing loop gets a separate verifier. Builder makes the change. Verifier runs the real app. You read the diff. Skip that and you wake up to 14 broken PRs with very confident summaries. Video: "Reflecting on a year of Claude Code" with Boris Cherny & Cat Wu

Boris Cherny: "My job is to write loops." 5-day version you can copy for Claude Code Day 1: repo memory - write CLAUDE.md - include stack, test commands, code style, release rules, gotchas - add .claude/settings.json with the shell commands Claude can run Day 2: verification skill - pick 1 flow Claude keeps breaking - put the browser/API test in .claude/skills/ /scripts/ - make it return: pass/fail, failing step, screenshot/log path Day 3: commands Add these files: .claude/commands/babysit.md - checks your PRs - reads CI - handles obvious review nits - surfaces design questions .claude/commands/triage-issues.md - labels new issues - dedupes against existing ones - assigns owners .claude/commands/deploy-watch.md - checks the live app - reports regressions - avoids touching production Day 4: loops > /loop 5m /babysit > /loop 15m /triage-issues > /loop 5m /deploy-watch Day 5: overnight work - schedule /morning-report - schedule /deep-audit - write results to .claude/inbox/ - let your morning loop read from that folder The rule: every code-writing loop gets a separate verifier. Builder makes the change. Verifier runs the real app. You read the diff. Skip that and you wake up to 14 broken PRs with very confident summaries. Video: "Reflecting on a year of Claude Code" with Boris Cherny & Cat Wu

Alpha Batcher

141,110 views • 3 months ago

Ryan Lopopolo leads a team at OpenAI where the PM writes a PRD on Monday and ships a pull request by Friday. No human writes the code. Ryan Lopopolo broke it all down: 0:00 - "Code is a liability" 3:23 - Why your most expensive asset is now free 6:01 - "What's the point of roles anymore?" 8:04 - What replaces the PM/design/eng triangle 13:10 - 1M lines of code, zero written by humans 16:05 - Engineers can't touch the keyboard 18:13 - First month was 10x slower than solo 20:07 - Recursing 8 levels deep for one primitive 20:47 - PM writes PRD Monday, ships PR Friday 25:06 - The feature they had to trash 28:02 - How designers ship UI without a backend 31:40 - What's actually inside the harness 37:03 - Failing the build over curly quotes 40:02 - Inside Ryan's actual Codex setup 46:25 - The codebase that grades itself 50:49 - "A billion tokens a day or you're negligent" 52:19 - 350M tokens on a single PR 53:46 - GPT 5.2 changed everything overnight 57:00 - Every engineer is now a staff engineer 59:19 - The ego problem nobody talks about 1:00:39 - Monday morning roadmap for normal teams 1:08:19 - One skill to build this weekend 1:10:57 - Why one agent beats multi-agent

Ryan Lopopolo leads a team at OpenAI where the PM writes a PRD on Monday and ships a pull request by Friday. No human writes the code. Ryan Lopopolo broke it all down: 0:00 - "Code is a liability" 3:23 - Why your most expensive asset is now free 6:01 - "What's the point of roles anymore?" 8:04 - What replaces the PM/design/eng triangle 13:10 - 1M lines of code, zero written by humans 16:05 - Engineers can't touch the keyboard 18:13 - First month was 10x slower than solo 20:07 - Recursing 8 levels deep for one primitive 20:47 - PM writes PRD Monday, ships PR Friday 25:06 - The feature they had to trash 28:02 - How designers ship UI without a backend 31:40 - What's actually inside the harness 37:03 - Failing the build over curly quotes 40:02 - Inside Ryan's actual Codex setup 46:25 - The codebase that grades itself 50:49 - "A billion tokens a day or you're negligent" 52:19 - 350M tokens on a single PR 53:46 - GPT 5.2 changed everything overnight 57:00 - Every engineer is now a staff engineer 59:19 - The ego problem nobody talks about 1:00:39 - Monday morning roadmap for normal teams 1:08:19 - One skill to build this weekend 1:10:57 - Why one agent beats multi-agent

Aakash Gupta

150,044 views • 3 months ago

These Claude Code Skills are f*cking insane 🤯 A complete brand-to-ad pipeline that builds a permanent brand brain and ships hooks, briefs, scripts, and ad variations on command. All inside Claude Code. A system perfect for DTC brands and agencies who are burning hours every week on creative production that should take minutes. If you're still copy-pasting brand context into every Claude session, briefing hooks in Slack, writing ad scripts from scratch, and hand-building variations in Canva... This system eliminates the entire loop: → Brand DNA Builder scrapes any brand and outputs a full positioning file → Brand Voice Profiler extracts voice rules from the brand's actual copy → ICP Deep Dive runs autonomous research and pulls real customer language → Hook Writer generates 20 hooks across 10 DR frameworks → Brief Generator writes full creative briefs in your brand voice → Ad Script Writer produces UGC and produced video scripts → Variation Engine takes a winning ad and generates copy + image variants No Google Doc brand briefs. No copy-pasting context every session. No starting from a blank page. What you get: → A permanent brand brain Claude reads every time → Hooks, briefs, scripts, and variations that sound like your brand — not generic AI → A continuous test loop feeding directly into Meta Ads → One workflow that scales across every client or product Built 100% in Claude Code. I'm giving away the 3 foundational skills pack that every other skill in the system reads from. Want access for free? > Like this post > Comment "SKILLS" And I'll send it over (must be following so I can DM)

Mike Futia

25,725 views • 4 months ago

Imagine if your browser had a brain. And it could click, read, and act like you. That’s exactly what flowithOS by does. It’s not an AI tool. ↳ It’s an Agentic Operating System right inside your browser. You browse as usual. The agent does everything else. → Reads pages and pulls insights → Writes summaries or reports → Executes tasks across tabs and apps → Even manages your workflow while you focus on decisions I used it to automate my newsletter content creation. 1. I wrote one prompt 2. It searched the web for top AI news 3. It created a content doc, and organized everything for me. Think of it like fully automated self-driving, but for the internet. Instead of adding AI features to a browser, flowithOS rebuilt the entire experience. It combines vision, reasoning, and execution in one loop. Your intent becomes action in real time. Use it to research, create, manage content, shop, study, or build projects. One space. One agent. Infinite actions. 📌 Try flowithOS today → ---- #flowithOS #AI #Agent #FutureOfWork #Productivity #flowithOSPartnership #SponsoredByflowithOS

Imagine if your browser had a brain. And it could click, read, and act like you. That’s exactly what flowithOS by does. It’s not an AI tool. ↳ It’s an Agentic Operating System right inside your browser. You browse as usual. The agent does everything else. → Reads pages and pulls insights → Writes summaries or reports → Executes tasks across tabs and apps → Even manages your workflow while you focus on decisions I used it to automate my newsletter content creation. 1. I wrote one prompt 2. It searched the web for top AI news 3. It created a content doc, and organized everything for me. Think of it like fully automated self-driving, but for the internet. Instead of adding AI features to a browser, flowithOS rebuilt the entire experience. It combines vision, reasoning, and execution in one loop. Your intent becomes action in real time. Use it to research, create, manage content, shop, study, or build projects. One space. One agent. Infinite actions. 📌 Try flowithOS today → ---- #flowithOS #AI #Agent #FutureOfWork #Productivity #flowithOSPartnership #SponsoredByflowithOS

Andrew Bolis

36,689 views • 10 months ago

Adobe tried to buy Figma for $20 billion in 2022. The deal collapsed. So Figma went public on the NYSE in July 2025 instead. Ticker FIG. Public company. Quarterly earnings. Wall Street pressure. You know what happens to design tools after they IPO. In March 2025, Figma raised the Professional Full seat 33%. From $15 to $20 a month. Organization seats jumped to $55. Enterprise to $90. Then they took Dev Mode, which was free during beta, and locked it behind a paid seat. Your developers now pay extra to inspect the designs your designers already paid to create. In March 2026, Figma started charging for AI credits on top. If Figma raises prices again, you pay. If Figma gets acquired, you pray. If Figma shuts down, your files die with it. Your design system. On their servers. In a proprietary format only their app can read. To draw rectangles on a screen. There is an open source design platform that runs on your hardware. Stores your files in plain SVG. Costs $0 forever for unlimited users. It is called Penpot. 45,700+ stars on GitHub. A full Figma-grade design platform built on open web standards. Vector editing. Components. Design tokens to W3C spec. Flex and Grid layouts. Real-time multiplayer. Interactive prototyping. Here's what it does: → Real-time collaboration. Live cursors. Comments in line. → Components, variants, shared libraries. → Auto layout, Flex, CSS Grid. The tool outputs production CSS, not lookalike CSS. → Interactive prototypes with overlays, animations, and flows. → Inspect tab. Free. Built in. Every developer grabs production CSS, SVG, HTML without a separate seat. → Plugin ecosystem. Figma import to migrate your files. → Self-host on Docker in one command. Your designs never leave your network. Here's the wildest part: Figma stores your designs in a proprietary format only Figma can read. Penpot files are SVG. The same format your browser has rendered for 25 years. Open them in any editor. Open them in 20 years. Nobody can lock you out. The feature Figma charges your developers extra for, Penpot gives away. Without asking permission. Figma Professional: $20/month per seat. A 10-person team: $2,400/year. Figma Organization: $55/month per Full seat. A 50-person org: $33,000/year. Penpot: $0. Unlimited users. Unlimited files. Unlimited teams. Self-hosted. Free forever. 45,700+ stars. 2,700+ forks. 250+ contributors. MPL-2.0 license. Backed by a community that believes design tools should be free. Your designs. Your files. Your standards. 100% Open Source. (Link in the comments)

Adobe tried to buy Figma for $20 billion in 2022. The deal collapsed. So Figma went public on the NYSE in July 2025 instead. Ticker FIG. Public company. Quarterly earnings. Wall Street pressure. You know what happens to design tools after they IPO. In March 2025, Figma raised the Professional Full seat 33%. From $15 to $20 a month. Organization seats jumped to $55. Enterprise to $90. Then they took Dev Mode, which was free during beta, and locked it behind a paid seat. Your developers now pay extra to inspect the designs your designers already paid to create. In March 2026, Figma started charging for AI credits on top. If Figma raises prices again, you pay. If Figma gets acquired, you pray. If Figma shuts down, your files die with it. Your design system. On their servers. In a proprietary format only their app can read. To draw rectangles on a screen. There is an open source design platform that runs on your hardware. Stores your files in plain SVG. Costs $0 forever for unlimited users. It is called Penpot. 45,700+ stars on GitHub. A full Figma-grade design platform built on open web standards. Vector editing. Components. Design tokens to W3C spec. Flex and Grid layouts. Real-time multiplayer. Interactive prototyping. Here's what it does: → Real-time collaboration. Live cursors. Comments in line. → Components, variants, shared libraries. → Auto layout, Flex, CSS Grid. The tool outputs production CSS, not lookalike CSS. → Interactive prototypes with overlays, animations, and flows. → Inspect tab. Free. Built in. Every developer grabs production CSS, SVG, HTML without a separate seat. → Plugin ecosystem. Figma import to migrate your files. → Self-host on Docker in one command. Your designs never leave your network. Here's the wildest part: Figma stores your designs in a proprietary format only Figma can read. Penpot files are SVG. The same format your browser has rendered for 25 years. Open them in any editor. Open them in 20 years. Nobody can lock you out. The feature Figma charges your developers extra for, Penpot gives away. Without asking permission. Figma Professional: $20/month per seat. A 10-person team: $2,400/year. Figma Organization: $55/month per Full seat. A 50-person org: $33,000/year. Penpot: $0. Unlimited users. Unlimited files. Unlimited teams. Self-hosted. Free forever. 45,700+ stars. 2,700+ forks. 250+ contributors. MPL-2.0 license. Backed by a community that believes design tools should be free. Your designs. Your files. Your standards. 100% Open Source. (Link in the comments)

Nav Toor

216,943 views • 4 months ago

I just built a branded IG carousel generator in Claude Code 🤯 One brand URL + one product name = 6 finished carousel slides. The kind an agency charges $2K to produce. All inside Claude Code. Perfect for DTC brands and agencies who need to post carousels every week but can't turn each one into a two-day design project. If every carousel is the same mini-project — writing the copy in Notion, rebuilding the template in Canva, exporting slides one at a time, then three rounds of revisions with your designer before it's even live... This tool eliminates the entire loop: → Drop in a brand URL and product name → Claude scrapes the site and extracts colors, fonts, voice, and positioning → Generates 6 slide concepts across proven carousel frameworks → Writes a detailed image prompt for each slide → Fires all 6 to ChatGPT Images 2.0 via FAL in parallel → Downloads finished slides + opens an HTML gallery No Canva. No designer back-and-forth. No generic AI slop. What you get: → Finished 1080x1350px slides ready to post directly to Instagram → Wavy color-blocked backgrounds, bold typography, product hero — all baked into the image → Brand-accurate colors and copy pulled from the live site automatically → A reusable pipeline — new brand, new folder, same 3-minute workflow Built 100% in Claude Code. I put together the full step-by-step playbook so you can build this yourself. Want it for free? Like this post Comment "SLIDES" And I'll send it over (must be following so I can DM)

Mike Futia

36,286 views • 2 months ago

Claude Cowork + Seedance 2.0 is f*cking wild 🤯 I built a skill inside Claude Cowork that generates UGC video ads on demand using Seedance 2.0, the best AI video model. One product image + one prompt = a full UGC ad with multiple shots, dialogue, and on-brand pacing. All inside Claude Cowork. Perfect for DTC brands and agencies who need UGC creative at volume without hiring creators or paying per-video SaaS fees. If you're briefing creators every week, waiting days for footage, paying $150–$300 per UGC video, and still getting ads that miss the brand vibe... This skill eliminates the entire loop: → Drop a product image into Claude Cowork → Tell it the ad angle (unboxing, review, lifestyle, demo) → Claude writes the dialogue, shot list, and pacing → Fires it to Seedance 2.0 via FAL AI API → Downloads finished clips into organized folders → Stitches multiple shots into one finished ad No creator briefs. No waiting for footage. No $200/video platform fees. What you get: → UGC video ads generated in minutes, not days → Full control over dialogue, pacing, and shot composition → Your product photos as reference so Seedance matches your real packaging → A reusable skill: new product, new folder, same pipeline Built 100% in Claude Cowork with the Seedance 2.0 API. I put together a full playbook with the Claude Cowork skill file, the exact prompts, and the FAL AI setup to get this running yourself. Want it for free? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

80,231 views • 4 months ago

Today we're launching iMessage video ads in Claude. Faceless video is the best-performing ad format right now — and Claude can now generate a full one end to end, in one prompt. Here's how it works: 1. Install: npx gooseworks install --all 2. Run: /goose-video make an iMessage ad for [your product] Claude writes the script, generates the photos in the thread, animates the conversation, and closes on your brand. SFX, music, end card, all of it. The trick: it's just HTML. No video generation models, so it's fast and cheap — and it works because it doesn't look like an ad. It's that easy. But this is just the start. We have created a library with 100+ open-source skills for growth that some of the fastest growing startups in the world are using every day to run ads, content, competitor research, gtm, seo and more. Comment Goose and I'll DM you the full open-source skill library.

Soham Mehta

50,641 views • 2 months ago

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

Nav Toor

394,519 views • 5 months ago

HERMES AGENT + OBSIDIAN IS A COMBINATION NOBODY IS TALKING ABOUT. Hermes ships with a bundled Obsidian skill. read, search, and create notes in your vault out of the box. why this combination is powerful: Hermes built-in memory is capped. MEMORY.md: 2,200 chars (~800 tokens). USER.md: 1,375 chars (~500 tokens). Obsidian vault has no cap. your agent writes research, session summaries, project context, and learned patterns as linked markdown notes. unlimited depth. the agent creates indexed notes by design. timestamps, backlinks, tags. every note connects to the knowledge graph. three ways to integrate: 1. BUNDLED OBSIDIAN SKILL (simplest) ships with Hermes. reads, searches, creates notes in your vault directly. hermes skills list | grep obsidian 2. OBSIDIAN MCP SERVER (deepest) 30+ tools: full-text search, tag lookup, note management, vault analysis, link analysis, orphan detection. add it via: hermes mcp 3. TELEGRAM + CRON → VAULT (always-on) set a cron job that writes daily summaries, research findings, or task reports directly into your Obsidian vault. your agent feeds the vault while you sleep. you review in Obsidian when you're ready. the unlock: Hermes memory handles what the agent needs to know per session (capped, injected). Obsidian handles everything the agent has ever learned (uncapped, searchable). short-term in Hermes. long-term in Obsidian. both accessible. both persistent. keep the vault scope narrow at first. start with one /Hermes folder. expand once you trust the workflow. 8 Loops Indise Hermes Agent👇

HERMES AGENT + OBSIDIAN IS A COMBINATION NOBODY IS TALKING ABOUT. Hermes ships with a bundled Obsidian skill. read, search, and create notes in your vault out of the box. why this combination is powerful: Hermes built-in memory is capped. MEMORY.md: 2,200 chars (~800 tokens). USER.md: 1,375 chars (~500 tokens). Obsidian vault has no cap. your agent writes research, session summaries, project context, and learned patterns as linked markdown notes. unlimited depth. the agent creates indexed notes by design. timestamps, backlinks, tags. every note connects to the knowledge graph. three ways to integrate: 1. BUNDLED OBSIDIAN SKILL (simplest) ships with Hermes. reads, searches, creates notes in your vault directly. hermes skills list | grep obsidian 2. OBSIDIAN MCP SERVER (deepest) 30+ tools: full-text search, tag lookup, note management, vault analysis, link analysis, orphan detection. add it via: hermes mcp 3. TELEGRAM + CRON → VAULT (always-on) set a cron job that writes daily summaries, research findings, or task reports directly into your Obsidian vault. your agent feeds the vault while you sleep. you review in Obsidian when you're ready. the unlock: Hermes memory handles what the agent needs to know per session (capped, injected). Obsidian handles everything the agent has ever learned (uncapped, searchable). short-term in Hermes. long-term in Obsidian. both accessible. both persistent. keep the vault scope narrow at first. start with one /Hermes folder. expand once you trust the workflow. 8 Loops Indise Hermes Agent👇

YanXbt

20,617 views • 3 months ago

Meet WebBrain: An Open-Source, Local-First AI Browser Agent That Reads Pages and Automates Tasks in Chrome and Firefox WebBrain lives inside your browser and can run entirely on your own local model — no cloud, no account, no data leaving your machine. Most "AI browser agents" are a chat box that pastes your page into someone else's server. That's not an agent that lives where you browse — and WebBrain draws a very clear line between the two. It's an open-source (MIT), local-first browser agent for Chrome and Firefox. It runs inside your existing authenticated session, on a model you pick — so with llama.cpp or Ollama, nothing leaves your machine. Here's what's actually interesting: → Two modes, cleanly separated. Ask reads the page (read-only, content scripts). Act clicks and types through the Chrome DevTools Protocol (chrome.debugger) — trusted input events that modern sites honor, reaching cross-origin iframes and shadow DOM. → UI-first by design. For anything that submits, sends, or buys, it drives the visible UI and refuses to hit REST/GraphQL endpoints directly. It starts read-only and asks before consequential actions. → Bring any model. llama.cpp, Ollama, LM Studio, vLLM — or OpenAI, Claude, Gemini, DeepSeek, Groq, OpenRouter. Recommended local: Qwen 3.6 35B (Qwen3.6-35B-A3B), which beat Gemma 4 on the project's screenshot benchmark. → Tuned for cost and privacy. Token-conscious screenshots, oldest-first context trimming, a dedicated vision model, 40+ tools (~20 in Compact mode). No telemetry. No accounts. Full analysis: GitHub Repo: Chrome Extension: Firefox Add-on: Portal:

Meet WebBrain: An Open-Source, Local-First AI Browser Agent That Reads Pages and Automates Tasks in Chrome and Firefox WebBrain lives inside your browser and can run entirely on your own local model — no cloud, no account, no data leaving your machine. Most "AI browser agents" are a chat box that pastes your page into someone else's server. That's not an agent that lives where you browse — and WebBrain draws a very clear line between the two. It's an open-source (MIT), local-first browser agent for Chrome and Firefox. It runs inside your existing authenticated session, on a model you pick — so with llama.cpp or Ollama, nothing leaves your machine. Here's what's actually interesting: → Two modes, cleanly separated. Ask reads the page (read-only, content scripts). Act clicks and types through the Chrome DevTools Protocol (chrome.debugger) — trusted input events that modern sites honor, reaching cross-origin iframes and shadow DOM. → UI-first by design. For anything that submits, sends, or buys, it drives the visible UI and refuses to hit REST/GraphQL endpoints directly. It starts read-only and asks before consequential actions. → Bring any model. llama.cpp, Ollama, LM Studio, vLLM — or OpenAI, Claude, Gemini, DeepSeek, Groq, OpenRouter. Recommended local: Qwen 3.6 35B (Qwen3.6-35B-A3B), which beat Gemma 4 on the project's screenshot benchmark. → Tuned for cost and privacy. Token-conscious screenshots, oldest-first context trimming, a dedicated vision model, 40+ tools (~20 in Compact mode). No telemetry. No accounts. Full analysis: GitHub Repo: Chrome Extension: Firefox Add-on: Portal:

Marktechpost AI

203,011 views • 2 months ago

Figma Capture + Claude Fable 5 = clone any competitor's landing page in minutes 🤯 Figma just dropped a Chrome extension that copy/pastes any live website into Figma as editable layers. Point Claude Code — running the new Fable 5 model — at the capture, and it rebuilds the whole page in YOUR brand: structure, copy, design system, photography. All inside Claude Code. Perfect for DTC brands and agencies who keep losing weeks rebuilding proven landers from scratch. If you're still cloning competitor pages the old way, You're screenshotting their site and praying the AI guesses the structure right. You're rebuilding sections by hand because the fonts and spacing never come out true. You're paying a designer $3K to recreate a page that already exists. This workflow eliminates the entire loop: → Capture the competitor's landing page with Figma's new Chrome extension — editable layers, not screenshots → Claude Code reads the page structure through the Figma MCP: every section, every headline, in order → It rebuilds the page in YOUR brand — your colors, your fonts, your voice (it even respects your banned-words list) → GPT Image 2 generates on-brand product photography from the layer names → Claude places every image automatically — finished page, ready to ship No screenshots. No guessing at structure. No design invoice. What you get: → A pixel-structured clone of any proven lander, rebuilt in your brand → Every line of copy rewritten in your voice → 16 on-brand images generated and placed for ~$2 in API costs → Start to finish in about 15 minutes Built 100% with Figma + Claude Code on Claude Fable 5. I put together a step-by-step playbook showing you exactly how to set it up. Want access for free? > Like this post > Comment "CLONE" And I'll send it over (must be following so I can DM)

Mike Futia

47,034 views • 3 months ago

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a system inside Claude Code that researches any brand, writes 40 ad prompts from scratch, and fires them all to Nano Banana 2. One brand name + one URL = 40 production-ready static ads. All inside Claude Code. I took Alex Cooper's brilliant framework and automated the whole thing inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without briefing a designer or spending hours in Canva. If you're finding winning ad concepts on Meta and manually recreating them one at a time in Higgsfield — copying prompts, pasting product details, tweaking aspect ratios, downloading, organizing... This system eliminates the entire loop: → Give Claude a brand name and URL → It researches the brand's fonts, colors, packaging, and photography style → Builds a Brand DNA document from scratch → Fills in Alex's 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details → Fires every prompt to Nano Banana 2 with your product photos as reference → Downloads finished ads into organized folders with an HTML gallery No Higgsfield. No manual prompt filling. No copy-pasting between tools. What you get: → 40 ad formats filled with your exact brand colors, fonts, and copy → 4 variations per format so you pick the best output → Product photos passed as reference so the model matches your real packaging → A reusable system — new brand, new folder, same pipeline Built 100% in Claude Code with Nano Banana 2. I put together a full playbook & Loom video showing the exact process to set this up yourself. Want access for free? > Like this post > Comment "NANO" And I'll send it over (must be following so I can DM)

Mike Futia

425,066 views • 6 months ago

This guy literally broke down everything to build a 21 agent dev team in Claude Code: 0:00 - Why one prompt = AI slop 1:55 - Claude Code as your full startup 2:43 - The 21-agent team 4:57 - Inside the system analyst agent 5:52 - Live demo: 0 → TestFlight 8:42 - Define a "good" system analyst first 11:53 - The system analyst workflow 12:17 - Why Confluence + Jira + MCPs matter 15:30 - Classic PM skills > vibe coding 19:15 - The scaffolding that kills spaghetti code 22:10 - Setting up agents inside Claude Code 26:19 - The longest dictation prompt this podcast has seen 35:29 - Why dictation beats typing for AI specs 47:30 - Brand guidelines in Figma Make 55:59 - Idea → prompt → design → app 1:06:27 - Claude Code builds the Figma screens 1:23:59 - Frontend tickets appear in Jira (with Figma links) 1:48:49 - The hockey rules AI app goes live 1:53:56 - Full recap: Claude, Confluence, Figma, Jira, Simulator, TestFlight 2:03:17 - Should PMs get AI PM certificates? 2:08:15 - How to build a PM portfolio that lands FAANG offers 2:13:25 - How to get started this week

Aakash Gupta

178,026 views • 4 months ago