Cryptonoob

the biggest AI opportunity right now isn't building agents it's understanding businesses well enough to build the RIGHT agent marketing agents specifically every business needs one... almost nobody is building them properly what i see instead: > generic "content teams" that pump out forgettable posts > bullshit automations that feel like spam > systems built around AI capabilities instead of business needs flip that start with the business problem, map the funnel, understand the audience... then build a system that fits like a glove the AI part is honestly the easy part, understanding businesses is harder

@jamesclift InstantClaw MY

@cryptonoob36 @cryptonoob36 I can build it right away. Please share your business name.

Introducing Durable. The first AI business builder that replaces your 9-5 income. RT + comment “Durable” and we'll build your business for FREE.

@matt_elevenlabs @ElevenCreative Done!

We just released Music Marketplace in ElevenCreative. To celebrate, we’re giving away 5,000 free credits so you can create and publish your first track. For the next 6 hours: retweet + follow @ElevenCreative and we’ll DM you the credits (must follow).

Introducing the Music Marketplace in @ElevenCreative. Creators, artists, and musicians can now publish and earn from their tracks created with our music model.

@LeadpoetAI I just opened up my DM. Please send. Thanks!

@cryptonoob36 Please open up your DMs so I can send!

Introducing Leadpoet. The AI agent that delivers ready-to-buy prospects on demand. Your next customer is already looking for your solution. Leadpoet finds them. Comment “Poet” and we’ll send you 100 free lead credits for your ICP.

This an incredible blueprint. Here's the non-technical breakdown so anyone can execute: What's an AI agent vs a chatbot? • Chatbot: You ask → It answers → Done • Agent: You give a goal → It thinks → Takes action → Checks results → Adjusts → Keeps going until the goal is done The 7 rules that make agents actually work: 1. Write down what you want FIRST Before building anything, answer: - What's the specific goal? - What tools does it need? - What does success look like? - What should it NEVER do? 2. Give it fewer tools, not more Start with 3-5 tools max. More tools = more confusion = more mistakes. 3. Plan for when things break Every tool should have a backup plan. "If this fails, do this instead." 4. Set hard limits Don't just tell it "don't spend more than $100" in the instructions. Build a wall in the code that physically blocks it. 5. One agent, one job If your agent needs to do too many things, split it into specialists. Research agent. Writing agent. Analysis agent. One coordinator managing them all. 6. Test with the worst inputs you can imagine Empty messages. Contradictory requests. Abusive messages. If you haven't broken it, you haven't tested it. 7. Log everything Every decision. Every tool call. Every error. You can't fix what you can't see. Where to start: 1 agent. 3 tools. 1 clear goal. Get that working perfectly before adding anything else.

@Chyan @Altcoinist Any idea why Felix dumped? The PA is weird

Missed the @VirtusWeekly spaces? — go listen to @Altcoinist and the $TIBBIR lore 🎧 Big $TIBBIR lesson for me: community + conviction > product. Doesn’t matter how strong rev or roadmap is — if no one believes, it either doesn’t run, fades out, or nukes in a bear. Personal fumble: when choosing btn doubling down on $MAMO vs $TIBBIR early… I went with the “real business.” Did fine — but TIBBIR outperformed… and I’d have made way more if I’d aped the frog 😅 Hard part? You can assess product. You can’t model conviction and community. Also underestimated @Altcoinist hard — dude basically became the Murad of agents. Plenty of KOLs in agentland… only one bagworking the same ticker like this nonstop. 🫡

Introducing ClawStack 🦞 Over the last couple of weeks, I went deep down the rabbit hole of building an AI team for my own business. On paper, it sounds incredible: an AI version of a COO, CMO, CFO, and CTO working alongside you. In reality, it’s a lot more complicated than that. You end up stitching together tools, prompts, agent frameworks, and different integrations - all while trying to figure out what’s actually useful and what’s just noise. That’s where most people get stuck. Honestly, I get it. But I kept going. And after a lot of trial and error, I turned everything that worked for me into one simple deployment setup. Point it at your VPS, and it can spin up a secure OpenClaw setup with a full AI team built to support your business. Composio is already wired in too, which giving your agents access to 850+ apps out of the box. From there you just: 1. Connect your accounts. 2. Give the agents context about your business 3. Start delegating work to your AI team My goal was to make it so simple that in about 5 minutes, you get a real working setup that can actually do useful work for you - not just a raw OpenClaw deployment. I put the link in the comments 👇

There are 4 tokens on #Base I’m watching in this phase. If you see anyone posting the same ideas as this thread, they are 100% copying my brain — let's report $JUNO (2M) → Zero-human companies. This is what future businesses will look at. $JUNO as a seed of the future. 0x4E6c9f48f73E54EE5F3AB7e2992B2d733D0d0b07 $ROBOTMONEY (2.5M) → If AI companies exist, they need workers. $ROBOTMONEY focuses on deploying and coordinating those AI agents. 0x65021a79AeEF22b17cdc1B768f5e79a8618bEbA3 $SAIRI (1.3M) → Every system needs a model to build from. After $KELLYCLAUDE, $SAIRI is shaping up as an AI model reference for the market. 0xde61878b0b21ce395266c44D4d548D1C72A3eB07 $ODAI (5M) → In the end, AI still needs some human-level coordination, and $ODAI fits that role. 0x0086cFF0c1E5D17b19F5bCd4c8840a5B4251D959 Different builds, but together these 4 tokens could form a perfect meta — where AI runs and personalizes everything.

🚨 RIP Chrome for AI agents. Someone built a headless browser from scratch that runs 11x faster and uses 9x less memory. It's called Lightpanda. Every AI agent doing web automation right now is running Chrome under the hood. That means you're spinning up a massive desktop application, stripping out the UI, and running hundreds of instances of it on a server. For something that never needs to render a single pixel. It's like renting a semi-truck to deliver a letter. Lightpanda is built differently. Not a fork of Chromium, Blink, or WebKit. Written from scratch in Zig with one goal: headless performance, nothing else. It still runs JavaScript. Still handles Ajax, XHR, Fetch, SPAs, infinite scroll, all of it. Just without dragging along 500MB of browser bloat you'll never use. And it drops straight into your existing stack: → Compatible with Playwright, Puppeteer, and chromedp via CDP → One-line Docker install → CDP server on port 9222, swap it in for Chrome in 30 seconds The use cases are obvious: AI web agents, LLM training data scraping, browser automation at scale, testing pipelines. Anything where you're paying for Chrome compute and cringing at the bill. It's still in beta and Web API coverage is growing. But at 11.8K stars it's clearly hitting a real nerve. 100% Opensource. AGPL-3.0. Link in comments.

@ReflecttAI @KSimback You need check out Paperclip.

good roundup. one gap none of these fill yet: multi-agent coordination. running one agent is solved. getting 3+ agents to share a task board, review each other's code, and not step on each other's work — that's the hard problem nobody's alt-listing because most people haven't hit it yet.

In the 2 weeks since I profiled 8 alternatives to OpenClaw, we’ve seen several notable new entrants from the likes of Alibaba, Nvidia and Minimax Here’s a short summary of these new agent frameworks: 1. Qwen-Agent (Alibaba/Qwen team) Open-source, supports function calling, sandboxed code execution, RAG for documents, browser automation via Chrome extension, and minimal dependencies Positioned as a clean, “batteries-included” toolkit for agent development, more developer-oriented than pure "always-on" personal agents but enables similar autonomous behaviors 2. NemoClaw (NVIDIA) Open-source enterprise-focused AI agent platform, announced with formal reveal expected at GTC on March 16) Allows secure, governed deployment of agents for workforce tasks like email, scheduling, data analysis, and orchestration Builds on NVIDIA's NeMo toolkit + NIM microservices, emphasizes security/privacy (addressing OpenClaw risks), and runs on any hardware (no GPU lock-in) Pitched to big partners (Salesforce, Google, Adobe, etc.) as a production-ready, scalable alternative to the personal Claws 3. MaxClaw (MiniMax) Cloud-native, one-click "always-on" agent system with persistent long-term memory, native messaging integrations (Telegram, WhatsApp, Slack, Discord), and an open-source agent framework underneath (Claw-inspired stack) Bundles their M2.5 model for cheap, efficient tool use/coding/planning and aims for zero-maintenance deployment with cloud ease, directly competing in the "persistent personal/enterprise agent" space I fully expect even more options to report 2 weeks from now

wait, so you can basically print money with AI 3D animations now? and the whole system is just two tools talking to each other -> tools that used to cost 10k and 3 months now take a prompt and 30 seconds -> there's no studio nor a software, just a workflow anyone can copy -> post the clips daily across TikTok, Reels, and Shorts -> stack those views into a contentrewards campaign -> get paid per view while the algorithm does the heavy lifting -> this is just one simple session/workflow, when it looks like you need to spend alot on content. the lesson is clear: the barrier to 3D content was never talent... it was access and that just disappeared.

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (@NousResearch) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to @Teknium for being so active!

Here is the step-by-step PDF guide to comes with the video: dropbox.com/scl/fi/rews0at…

@UfukDegen @Teknium Nice looking forward

@Teknium In a few hours, I'm dropping a tool that will save video editors real time and money. No more paying for multiple monthly subscriptions everything under your own control. This isn't just a hackathon project. This is proof of what Hermes Agent can do in a real workflow👀

Just a little over 24 hours remain in the Hermes Agent hackathon! 72 submissions so far and counting - come join in the fun, you can still make something to submit! Docs: hermes-agent.nousresearch.com/docs