greenguy

What used to take us 2 weeks for design exploration now takes a few minutes. At @NalikesStudio we've shipped 150+ web3 products. The process was always the same. Figma wireframes, user journeys, multiple rounds of revisions. Client wants to see 3 directions before they commit. That alone could cost thousands and eat into margins every time. So I built an AI agent that handles the whole thing. One prompt and it generates a full design system with variations. I dont open a single tool. Open sourcing the OpenClaw skill. Reply if you want it.

We have built crypto apps for @THORChain , @risechain and dozens of other crypto projects. After 100+ builds, here is what I know: The founders who win do not have the best ideas. They have the best process. Just broke down that process in this video.

How I find clients on Twitter every month (scaled my agency to $1M ARR with these 3 methods) 0:00 - Intro 0:41 - Method 1 1:02 - Finding people who already need your service 1:49 - What to do before you send a DM 2:05 - The exact message I send 2:45 - The tool I built to find leads on Telegram 3:10 - Why volume is everything in sales 3:52 - Method 2 4:16 - How to find the right profiles to target 5:02 - The DM script that starts conversations 5:51 - The tools that let us send over 100,000 DMs a month 6:52 - Method 3 7:30 - Why I only recommend this after you have revenue 8:22 - How to brand your profile for conversions 8:59 - Show don't sell (with personal example) 9:57 - The two rules I follow before posting anything 10:36 - The mindset that makes all of this work 11:14 - Why most businesses fail at sales

Here is what we have been cooking at @NalikesStudio recently. - Building a Web3 prize and rewards platform with on chain competitions and instant crypto payouts for the power.win team. - Building a direct to fan distribution platform for independent filmmakers and creators to launch content, build audiences, and own their platform for the Hiway team onthehiway.com. - Building a First Nations led digital platform transforming procurement and certification for Canada's built environment for the TIBT team tibt.ai. - Building a Web3 creator and collaboration ecosystem on ApeChain for the MADE team madebuilt.io. - Building for 2 DeFi protocols we can not name (NDAs). One is a lending protocol with $20M+ raised and $270M+ in testnet volume. The other is a decentralized prediction protocol. - Building a consumer crypto app we can not name yet. And a DeFi trade streaming protocol that splits large trades across multiple DEXs. Also recently finished and delivered products for @Alienzone_io, @rise_chain, and @THORChain. And there are more clients that prefer to stay anonymous. But to give you an idea of the categories we are building across right now. DeFi lending. Prediction markets. Consumer crypto apps. Privacy protocols. DEX infrastructure. Web3 gaming. Creator economy tools. Now here is the real talk. AI tools have gotten scary good. Basic web dev is dead. If you are an average developer or dev agency with no specialization you will have a very hard time getting clients. Clients are not going to pay for work that AI can do in hours. So we went all in. Trained every employee on AI tools. Rebuilt our workflows around them. One dev now does the job of 3 devs. Smaller team. Bigger output. Better quality. If you are building in any of these verticals and would like to chat my dms are open.

@Jacobsklug @openclaw Playbook Notepad's ready

I've made $4.7M with AI. Today, I recorded myself building an entire @openclaw business in an hour. You'll learn how to: • Find a winning niche using AI • Build an offer people actually want to pay for • To get your first clients • To use AI to productize and fulfill the entire service • The exact prompts I use to orchestrate all of it After building the #1 Lovable agency. This is the entire playbook behind AI native businesses. The full video is live on YouTube. Comment "Playbook" and I'll DM you the link.

@talhaasiiif @NalikesStudio Automate till there's nothing left to automate basically

@greenie_guy @NalikesStudio Did we cook or are we cooked?

What used to take us 2 weeks for design exploration now takes a few minutes. At @NalikesStudio we've shipped 150+ web3 products. The process was always the same. Figma wireframes, user journeys, multiple rounds of revisions. Client wants to see 3 directions before they commit. That alone could cost thousands and eat into margins every time. So I built an AI agent that handles the whole thing. One prompt and it generates a full design system with variations. I dont open a single tool. Open sourcing the OpenClaw skill. Reply if you want it.

@leonabboud That mission control setup looks sleek!

OpenClaw has officially cooked clipping platforms. This setup costs me $0 to build and operate.

Going to leave you with this tonight: The best thing you can do for yourself is actively increase your surface area for luck to hit you. Go outside, travel more, go to new cafes, museums, events, take a new route home, go for hikes, see cities, countrysides, take your notebook, speak to people, ask questions, start businesses - go on more side quests. You can literally just do things, and the more you do, the more serendipity and synchronicity will find you. Night gang.

@talhaasiiif @NalikesStudio Now plug this to Openclaw and watch it rain

We scaled @NalikesStudio to $1M ARR through cold outreach. We've done cold outreach on X, LinkedIn, email, Discord, and Telegram. But over the past few months, Telegram has been getting us the best results by far. The problem? Finding Telegram usernames of decision makers. There is no database for this. And the few that exist don't have the data for our ICP (Web3 founders and project leads). So my team did it manually. Every single day. 2 people on my team spent 8 hours a day doing this. That's 320+ hours a month. I got tired of watching my team burn hours on something that can be automated. So I built a tool. You enter a domain name of the project and it finds the Telegram usernames of the decision makers automatically. What used to take weeks now takes minutes. If you're doing sales or BD in crypto/Web3, this will save you hundreds of hours. Comment "TG" for early access.

@alexcooldev the speed is the feature. markdown support adds friction to their infrastructure. probably why they haven't done it

Telegram ship so fast, but i need full markdown support 👀

@andi_losing shipping from a coffee shop hits different. what are you building?

first time working from a coffee shop in Bangkok 🇹🇭 time to ship

@chrissyinspace this is the move. native mac > web app every time for something like this. when's the beta?

Daily update 264/∞ 💻 Turning tinyshots .app into a native Mac app 💵 Already have my first customer lined up (potentially) 🌷 Positivity

@dani_avila7 the multi-model routing is interesting but the real question is cost per task. if it's burning through api calls to pick the "best" model each step, that math gets ugly fast. what's the actual overhead look like

Perplexity just dropped Computer! Think OpenClaw but multi-model, cloud-based, and connected to your entire stack. No local setup, no single model lock-in. It picks the best model for each step on its own. Claude for reasoning, Gemini for research, Grok for speed. Runs autonomously in the background for hours or days. Gonna test it and report back 👀

Wait, so the founder of Anthropic is "Amodei," as in "loves god"? And he leads Anthropic, meaning "human-centered," which is being used in military strikes? And the creator of ChatGPT is "Altman," as in "an alternative to humans"? And he leads OpenAI, which is completely closed? And then there's "Gemini," meaning "two-faced," from a company that promised to do no evil? And the whole global AI arms race is being driven by people who claimed to be worried about AGI taking over the world? Either the universe is an extremely cliché writer, or has a brilliant sense of humor

Few predictions nobody has thought of yet 1. Open Source movement gonna end because AI can rewrite any oss repo into a new code and commercially redistribute it as their own. 2. Companies gonna use AI to generate their none core software as a marketing effort (cloudflare rebuilt nextjs in a week). 3. Corporations gonna switch from startup acquisitions to solo makers (e.g. Peter, OpenClaw). 4. The entire business moat gonna go from the quantity of resources to their quality. In the age of infinite leverage, the companies with be measured by the smartest employee. So talent war will be insane, billions gonna be spent on it. 5. Building products is becoming easier but distribution is becoming harder because there is 1000x more competition now, just like in the music, a long time ago one could make an okay song and it would get its share of the attention and now every song is just one of one billion songs made today…same here. 6. Since we switched from traditional UX to an agentic one (chat based), and most of our business and personal life runs via Claude code, codex or OpenClaw, this completely changes the world of UX. Your next product should be “build something agents want” instead of “build something users want”. 99.99% of the usage gonna come from agents instead of users. 7. Digital jobs gonna be gone, only C and manager level jobs gonna remain, but everything else to be replaced by AI (this is a reality for people like me already a while ago) 8. Startup founders gonna search for a moat by building products in the intersection of a digital and physical worlds 9. Some, if not most founders, gonna completely pivot into offline local businesses. 10. Coders gonna go from normally distributed salaries into average getting paid peanuts and top 0.001% paid millions and 0.00001% hundreds of millions, just like sport super stars.

@Param_eth this is the "I have 12 SaaS subscriptions" starter pack

Me: Plan: Grok Prompt: Gemini Pro 3.1 Building: Claude Opus 4.6 Deploying: Vercel Posting: X

@MoonDevOnYT 7th grade held you back but twitter didn't

He just made a joke about getting held back in 7th grade

@zaimiri The funny thing is AI companies are treating power like it's infinite. Until the next grid crisis forces repricing, nobody's seriously hedging this risk.

Companies are embedding AI into production software. They are paying hyperscalers for capacity they can't back out of. Hyperscalers signed multi-year deals with data center operators. Operators control the power those hyperscalers need. Three layers of locked-in obligations. Power owners sit at the choke point. The market isn't pricing these accurately yet. Soon.

@dani_avila7 autonomous for hours/days changes everything if the error correction actually works. most agents fail on task drift after 20 mins. curious if perplexity solved that or just marketed around it

@leonabboud oh this is good. basically turning your rejections into a custom training dataset without needing to rebuild from scratch

The best recommendation I was ever given about using OpenClaw for content: Give it the ability to receive feedback every time you reject a draft. I've rejected close to 100 pieces of content from my OpenClaw setup. Every single rejection came with a reason. Those 100 rejections are data points teaching my AI exactly what I want and what I don't. Ask your OpenClaw right now to give you the ability to offer feedback on all content suggestions it creates.