Miguel Sanchez @MSanchezWorld

everyone is vibe coding. nobody is getting customers. here's how to fix that. bookmark this 👇 strategy 1 - MCP server as your sales team build an MCP server that answers the core question your product solves. publish it to Smithery, MCPT, Open Tools. every AI assistant that connects becomes a salesperson. zero ad spend. one fintech founder got 150+ installs in 30 days. strategy 2 - programmatic SEO keyword pattern like "best CRM for dentists." scrape data with Firecrawl, build a Next.js template, generate unique content per page. start with 100 pages, then scale. 10,000 pages x 30 visits x 2% conversion x $10 = $60k/month from pages you built once. the other 5 strategies are in the video below, including how to make your outputs go viral, why buying a newsletter beats building one, and a repurposing engine that turns one recording into 50 pieces of content 👇

spect @spectnfa

3 days ago

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You can now give your Agent its own: + Profile + Wallet + DMs + Network One setup prompt. No human in the loop required. An open playground for people and agents to interact. Works with Hermes, Openclaw and any other harness. Copy the prompt below ↓↓↓

My Midjourney anime styles work incredibly well with Seedance 2.0.

Claude built a full Shopify store in 9 minutes. It converts better than the one I paid $4,200 for. Here’s the exact 4 step build. Most stores die on the same thing: a pretty homepage and 0 buyer psychology. 7 sections, all decoration, none of it sells. Step 1. Brand kit. 1 prompt. Colors, fonts, voice, positioning. 90 seconds, done. Step 2. Scan your live site. It pulls your product, your offer, your audience, your exact wording, and the 5 objections killing your checkout. Step 3. Conversion playbook. Feed it the framework. Problem framing, credibility stack, offer architecture, upsells, cross-sells, full product walkthrough. Step 4. Build. It designs and ships the whole site. Buyer psychology baked into every section, not bolted on after. Old way: 3 weeks, 1 agency, $4,200, 6 rounds of revisions. New way: 9 minutes, 0 designers, 1 chat. Same product. The new page closed 2x the traffic in week 1. The agency took 3 weeks. Claude took one coffee.

Born to gamble @borntogambles

6 days ago

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Create a storyboard, feed it into Seedance 2.0, and let an LLM analyze the storyboard to generate better prompts. A practical way to turn visual planning into more controlled and consistent video generation. To try this workflow, link below 👇

no way this is actually free someone quietly dropped a 2D animation agent -> takes your image and prompt -> spits out game-ready sprites -> places them on a scene background automatically no-UI agent. fully open source. runs locally. works without a video model.

launch videos are now non-negotiable

Erik Torenberg @eriktorenberg

a day ago

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I’m working on something similar. I’m a kid in the Ai candy store lol.

Alex Patrascu @maxescu

6 hours ago

My biggest passion right now is coding agents that figure out the storyboard and prompts from a script, as well as the ingredients (characters, locations, props). And it does all of it with great camera control and direction. It's not perfect yet, but it gets better every day!

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Claude can now pull live data from 135,000,000 YouTube channels. Most creators are still paying $200 a month for analytics tools that do less. Here’s the part nobody’s using. Without the connector, Claude guesses. It gives you generic advice it could’ve written in 2023. With it, Claude reads real-time data across 135M channels — and tells you exactly why your last video bled viewers at second 14. Setup takes under 2 minutes: → Copy the connector URL (link in reply) → Open Claude, click Customize → Go to Connectors, click Add custom connector → Paste the URL, click Add → Done Now you can run prompts a $2,000 consultant charges for: “What’s trending in my niche right now?” It pulls live topics climbing in your exact category — not last month’s leftovers. “Why did people click away from my last video?” It breaks down the drop-off, second by second, against channels that retained. “Rewrite my title to match the top 10 performers in my niche this week.” It studies what’s actually working today and gives you 5 options. The math is simple. A creator with 10,000 subscribers who lifts average view duration from 40% to 55% can 3x their watch time without a single new video. That’s the difference between $400 a month and $1,400 a month on the same uploads. The data was always there. 135M channels, every retention curve, every title that worked. You just couldn’t read it. Now Claude reads it for you in 30 seconds. Most people will scroll past this and keep guessing. 7,000 will set it up tonight and stop guessing forever. The window on “nobody knows this yet” closes fast.

Rexei @iamrexei

a day ago

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Watching sports from a god’s eye view. I don’t care what people say, this is how I want to experience sports - as full blown 4d gaussian splats or better. Makes 3d videos look ancient after you try this tech. It’s inevitable. Dare I say new media.

HERMES AGENT CAN HOST AND MAINTAIN YOUR ENTIRE WEB APP FROM ONE VPS. NO VERCEL. NO RAILWAY. NO SUPABASE. ONE AGENT RUNS THE WHOLE STACK. @tonbistudio just shipped a live example of this workflow. agentwikis. com runs on a $7 Hetzner box with Hermes maintaining the content autonomously. THE STACK: → VPS (Hetzner CX22, $7/month) → Caddy reverse proxy (auto TLS via Let's Encrypt) → Hermes Agent gateway (Telegram-connected) → Git as the database (markdown files, no Postgres, no build step) → App server renders markdown on every request → Search index in memory, rebuilds on file change git push is the deploy. git pull on the server is instantly live. no restart, no rebuild. THE WORKSPACE LAYOUT: /srv/yoursite/ ├── app/ # web app code ├── content/ # markdown files (git-tracked) └── ~/.hermes/ # the agent one Caddy Vhost reverse proxies the domain to localhost. one Hermes profile manages the agent. SSH for direct access. Telegram for daily ops. THE SELF-MAINTAINING LOOP: cron fires every week. multi-profile pipeline runs: 1. SCOUT — checks sources for updates (changelogs, GitHub releases, RSS feeds) 2. RESEARCH — dedupes, plans new content or extensions to existing pages 3. HUMAN GATE — Telegram approval one tap: approve or reject 4. WRITER — generates pages, lints markdown 5. COMMIT — git commit + push 6. SITE UPDATES — within 15 minutes no deploy step required THE DEMAND LOOP (the real differentiator): when agents query your wiki via MCP, distilled queries get logged. no prompts. no IPs. no identifying data. aggregates only. repeated misses become research candidates. gaps in your content fill themselves based on what people actually ask. month 1: 100 entries written by you. month 3: 200+ entries, half written from real demand signals. the site answers questions you didn't know existed. WHAT YOU LOSE COMPARED TO MANAGED STACK: a single VPS replaces Vercel, Railway, Supabase for sites that don't need real auth, regulated data, or global CDN. reach for managed services when you need: → OAuth and password reset flows → regulated or unrecoverable data → global edge caching at scale → email deliverability (use Postmark/Resend) → team velocity (preview deploys, staging) for docs, blogs, wikis, marketing pages, landing pages, internal tools: git is your database, your CMS, and your deploy pipeline in one. SECURITY NOTES: Hermes does not get full root on the VPS. restrict access to the site directory only. SOUL.md restrictions: - never touch system files - never modify the gateway config - always require approval for content commits - never delete files outside the content folder dashboard binds to 127.0.0.1 by default. access remotely via SSH tunnel, not public exposure. WHERE THIS PATTERN BREAKS: state that lives in memory only. real-time multi-user editing. anything requiring a real database (Hermes can run Postgres on the same box, but that is a separate setup). @tonbistudio's part 2 covers the database version of this workflow. subscribe to his channel. full guide to build your 3 agent research department 👇

YanXbt @IBuzovskyi

2 days ago

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DON'T BUILD A COMPANY. BUILD SOMETHING PEOPLE CAN PAY FOR THIS WEEK. This girl started in February. A few months later, her product had already processed over $6,000 in payments. Just a cheat Claude project she decided to turn into a real product. Here's the process: > Build something useful for yourself. > Tell Claude to push it to GitHub. > Connect Supabase so multiple users can use it. > Deploy it with Vercel. > Connect Stripe. Now people can actually pay you. You don't need a revolutionary idea. You need: > GitHub > Supabase > Vercel > Stripe > guide from Anthropic And a problem worth solving. This article will help you build it 👇

0xstack @eth0xzar

2 days ago

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Interesting. (Founder of Z.ai, creator of GLM AI models.)

One of my new favorite loops from Peter Steinberger (@steipete): “Refactor until you are happy with the architecture. After each significant step, live-test the system, run autoreview, and commit. Track progress in /tmp/refactor-{projectname}.md.” signals.forwardfuture.ai/loop-library/l…

Matthew Berman @MatthewBerman

24 hours ago

Just launched Loop Library - a curated list of agent loops you can use right now. Find loops, submit your own, tokenmaxx!! signals.forwardfuture.ai/loop-library/

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An agent researches a prospect, prepares the call context, pays for a voice call, and drafts the follow-up. One workflow. Multiple services. Paid for directly in USDC. The whole thing costs about $1.08. This is what the agentic economy starts to look like when agents can access and pay for the tools they need.

I can't believe this is real I have GLM 5.2 running 100% locally on my Mac Studio. 2 bit quant. The results I'm getting are better than Opus 4.8 It's now powering my Hermes Agent and Codex. 100% free, local, private super intelligence on my desk I also have it in a loop coding for me 24/7 now I thought we were at least a year away from this type of event. It happened today. The model takes up about 250gb of memory. So you can technically run it on a Mac Studio with 256gb, but you probably want the 512gb memory version (please tell me you listened to me 5 months ago when these were sitting on store shelves) With Fable gone, I now have Opus 4.8 level intelligence on my desk for free. This is the future. Local, private, secure, personal super intelligence. If you're still writing off local AI as a fad or engagement bait, you are officially delusional

Learning Blender Round 3.......... - Super Move 👊 Added Cameras, more fx, and some Goo Physics Rogue and Tifa Rigs provided by legend @HardGutem❤️‍🔥 #rogue #marvelrivals #tifa

Founder tips: Sell first. Build second. Do marketing every day. Growth is more important than new features.

I don't know if it's obvious information or not but if you talk to random people in San Francisco the general thing they say is that software is commoditized cause so easy to make anything with AI fast (like how I cancelled all my SaaS subscriptions and just vibe coded a replacement for free) and that everyone smart is getting into hardware cause it's still difficult to enter, kinda related to the Midjourney Medical thing too

you can now teach Codex by demonstration:

OpenAI Developers @OpenAIDevs

a day ago

Show Codex a workflow once. Reuse it as a skill. Record & Replay lets you show Codex a recurring task, like filing an expense report or submitting a time-off request. Codex turns that demo into an inspectable, editable skill. You control when recording starts and stops.

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