Sachin Gill Haryana

Introducing buluclaw.com⚡ The easiest way to deploy your own 24/7 active OpenClaw instance — done under 1 min No coding. No complex setup. Just connect and start. Built for non-technical users. Limited capacity. demo:

@Shruti_0810 Guide

ChatGPT + Laptop + Internet + 1 Hour a Day = $250 Daily Normally, I charge $157 for this guide. 𝐖𝐨𝐫𝐭𝐡 $157, 𝐛𝐮𝐭 𝐟𝐫𝐞𝐞 𝐭𝐨𝐝𝐚𝐲! Like, comment "Guide" and repost for absolutely FREE. (Must follow, 42 hours only)

@oliviscusAI I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

someone built a VS Code extension that turns your AI agents into pixel art characters working inside a virtual office. it’s free, open-source, and honestly the coolest dev tool i've seen all month.

@startupideaspod I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Sam Altman predicted the first one-person billion-dollar company. Matthew Gallagher built a $401M company in year one with $20,000, AI tools, and zero employees. This year he's on track for $1.8B. With 2 people. The playbook has changed: Old path: - Come up with an idea - Fundraise from friends or VCs - Hire a team - Build the product - Hope it works New path: - Start with an audience (X, Instagram, TikTok) - Vibe code something for that audience - Build a community around it - Automate fulfillment with AI agents - Repeat That's the new barrier to entry is a laptop and an idea.

@OpenAIDevs @SlackHQ @figma @NotionHQ @gmail I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

We're rolling out plugins in Codex. Codex now works seamlessly out of the box with the most important tools builders already use, like @SlackHQ, @Figma, @NotionHQ, @gmail, and more. developers.openai.com/codex/plugins

@Saboo_Shubham_ I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

This is what a one-person AI Agent run company looks like in 2026. 6 AI agents. 20 cron jobs. 0 human employees. Every role is a folder. Every job description is a md file. No standups. No Slack. No payroll. Just a directory on a Mac that runs the whole thing.

@yasser_elsaid_ I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

This is my playbook for bootstrapping an AI agent business to $9M ARR. The most important thing is that you need something repeatable and scalable, something where if you do more of, you get more money. You need the equation where you can arbitrage every dollar you spend into more dollars on the other end. Here is how you get there: 1. if you're in B2B, just do the B2B stuff. self-serve is very hard to make work in B2B. it's so much easier to build a sales team, teach them the product, and let them sell it, instead of building a very intuitive platform and hoping people figure it out. that's why all these bigger companies are mainly doing "book a demo with us." they charge customers a lot more because there's no public pricing, and they can set the product up for them. you cannot rely on a middle manager at a non-tech company to put in the effort to use your platform, even if it's extremely intuitive. if you're bootstrapping, you can't hire a sales team on day one. so you need momentum from self-serve customers first. but the goal is to layer in sales as fast as possible, get on demo calls, set up the product for bigger customers, and invest in building an intuitive platform at the same time. 2. content is non-negotiable, even if you're sales-led. good content gets you brand visibility and brand awareness, and that makes all the other channels work much more efficiently. paid ads work much better if people recognize your brand. if they click on your page and see content that people are engaging with, good quality content, it compounds everything. here's what that looks like: video: it depends on your ICP, but we all know video is hard to do, and that's a good thing because it makes the barrier to entry much higher. you can signal that you are a serious business if you do good quality video content. be creative within video, but don't get too creative with the kinds of videos. the kinds of videos you should be doing are product videos and customer videos. that's it. you can be creative in telling your customers' story, you can be creative in launching a product, but don't do the stunt thing, the office content, the random skits. they can work, but you only do them after you do the things that you know will work. hire a videographer in-house. agencies are so expensive (this is just a good rule of thumb). text + personal brands: you need personal brands for everyone in the company. EGC (employee-generated content) needs to be a non-negotiable. everyone on the team posting at least twice a week. 3. warm outbound is the lowest-hanging fruit. warm outbound = outbounding people who have already seen your product. people who interacted with your LinkedIn posts. people who visited your site but haven't signed up. people who created an account but never finished onboarding. these people are the lowest-hanging fruit. email them, call them, put them in a sequence until they become customers. you can have very clear KPIs for your team on this. 4. cold outbound, if your ICP is big enough. be good at writing cold emails and managing your own infrastructure. don't go through an agency. build a system where you can send emails profitably. if it works, send more. if that works, send more. scale it until it doesn't make sense to continue. also do this in-house if it's an important channel. 5. SEO and AEO are extremely important. whenever I want to try a new product, I ask Claude. AI search is a non-negotiable channel now. you need to show up there. that means a lot of Reddit, a lot of review websites, a lot of talking to blogs and backlinking sites to make sure they write what you want with the messaging you want. 6. expansion: be friends with your biggest customers. get on a call with them. know them by name. they need to have your number. they need to be advocates for you. build community around the customer. a lot of founders do not see their customers as friends or a community. they just see them as revenue. that's so bad. your customers need to enjoy spending time with you and talking with you. 7. pricing is the fastest lever. you need to find a good sweet spot for packaging and pricing. incentivize people to spend more money and make sure it's a good deal for them. there's no shortcut, you talk to customers, see what they care about, see what they get a lot of value out of, and capture some of that value while making sure they're successful. 8. margins don't matter early on. if you have a $10M ARR business but you spend $10M to run it, that's fine. you can always cut costs. revenue is the most important metric. it's easier to cut costs than to make more money, so in the beginning, focus on making more money. That's how we built @chatbase to where it is today. Most of this will continue to scale with us as we go to 100M ARR.

@folaoftech I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Your company’s new “AI agent workflow” 🤣 That was painful to watch. 😭

@dr_cintas I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Google Stitch has released 𝗗𝗘𝗦𝗜𝗚𝗡.𝗺𝗱 🤯 One markdown file that teaches your AI coding agent your entire design system. → No Figma exports → No JSON schemas → Nothing to configure The part that saves the most time: A free collection of 40+ pre-built files already exists, extracted from real products. Stripe, Vercel, Linear, Notion, Lovable, Claude, ElevenLabs, Cursor, Warp, Zapier, and more. Drop it in your project root. Claude Code, Cursor, Gemini CLI, and GitHub Copilot all read it natively. 100% Free and Open-Source.

@Saboo_Shubham_ I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

This is how you run a zero human AI Agent Company in 2026. OpenClaw, Cursor, and Codex agents organized under one org structure, pointed at one goal. Get started in just one command. 100% Opensource.

@itsPaulAi I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Friendly reminder that Gemini has a built-in alternative to OpenClaw. Yes. Agent mode can literally perform any task: - Leverage a web browser to use any site/tool - Connected to Gmail, Calendar, Drive, Tasks, etc. - Generate presentations with Slides - Use YT videos as sources - Create tasks, archive emails, draft responses And much more like deep research, canvas and so on. You can also ask Gemini to run Agent every day, once a week, etc. for recurring tasks. Probably the feature that people sleep on the most.

@_avichawla I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Pentesting firms don't want you to see this. An open-source AI agent just replicated their $50k service. A "normal" pentest today looks like this: - $20k-$50k per engagement - 4-6 weeks of scoping, NDAs, kickoff calls - A big PDF that's outdated the moment you ship a new feature Meanwhile, AI agents are quietly starting to perform on-par with human pentester on the stuff that actually matters day-to-day: ↳ Enumerating attack surface ↳ Fuzzing endpoints ↳ Chaining simple vulns into real impact ↳ Producing PoCs and remediation steps developers can actually use And they do it in hours instead of weeks and at a fraction of the cost. This approach is actually implemented in Strix, a recently-trending open-source framework (14k+ stars) for AI pentesting agent. The framework spins up a team of AI "attackers" that probe your web apps, APIs, and code. It then returns validated findings with exploit evidence, remediation steps, and a full PDF report that looks exactly like what you'd get from a traditional firm, but without a $50k invoice and a month-long wait time. You can see the full implementation on GitHub and try it yourself. Just run: `strix --target https: //your-app .com` and you are good to go. Human red teams aren't disappearing but the routine pentest (pre-launch, post-refactor, quarterly checks) is clearly shifting to AI. Strix is one of the first tools that makes that shift feel real instead of hypothetical. I've shared the GitHub repo in the replies.

@heynavtoor I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

🚨 BREAKING: An AI agent can now QA test your entire app while you sleep. Just paste a URL. It explores, creates test cases, runs them, and sends you a video when something breaks. Zero code. Zero manual testing. Zero bugs shipped. Here's how it works 👇

@AlexFinn I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Hermes Agent is an INCREDIBLE AI agent It's better than OpenClaw in some key ways, but does it replace it? In this video I cover what Hermes agent is, how to use it, workflows that will explode your productivity, and if it's the OpenClaw killer:

@AleiahLock I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

> you close your laptop for a few days > leave $1,000 running on a Claude bot > come back > $1,000 → $55K > the agent was trading > comparing to live data > setup time: ~15 minutes Welcome to age of AI.

@recap_david I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

I built an AI marketing agent to run my $100K media company. After 4 months of prompting, tooling, and integrations, I built this agent that effectively replaced my content team. Here’s how it works under the hood: → Scrapes Reddit, Hacker News, X, and Google News → Publishes a Morning Brew–style daily AI newsletter (10k daily readers) → Repurposes that content into:  • viral Twitter threads (like this one)  • short-form videos for TikTok & Instagram  • Reddit posts  • high-engagement LinkedIn updates → Produces content that’s driven millions of impressions → Generates custom, brand-aligned images for every unique asset All automated. The entire system runs through Jarvis-like voice commands, powered by ElevenLabs + n8n (see video below, I literally trained it on Jarvis from Iron Man). No manual content creation. No team to manage. Runs while I sleep. I'm no longer focusing on this business, so I'm giving all this away for free. If you want the complete system, prompting, n8n templates, & setup walkthrough: Comment “AGENT” Like & Retweet Follow me (so I can DM you) I’ll send everything over.

@mikefutia I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

This Instagram Reels AI Agent is f*cking crazy 🤯 It scrapes trending Reels in any niche, runs AI analysis on each one, and extracts every hook, theme, and creative insight automatically. All inside n8n + Airtable. Perfect for DTC brands & agencies who need to know what's working on Instagram before creating anything. Here's the problem: Your team is burning hours doom-scrolling Instagram and calling it "research." Screenshotting videos, scribbling notes, trying to reverse-engineer why something went viral. By the time anyone acts on it, the trend is already stale. This n8n agent does it in minutes: → Enter any keyword (skincare, fitness, supplements, etc.) → Scrapes trending Reels automatically → Logs every video to Airtable—views, likes, comments → Click "Analyze Video" in Airtable → Gemini watches and extracts: Hook, Proof Point, Theme → Click "Analyze Comments" for audience insights No manual scrolling, no screenshot folders. No "I swear I saw a good one yesterday." What you get in Airtable: - Video URL, creator handle, engagement metrics - AI-extracted hooks (what stopped the scroll) - Proof points (what built credibility) - Creative themes (the narrative structure) - Comment analysis (what your audience actually cares about) Built 100% in n8n. Want the full n8n template + Airtable base? > Comment "IG" > Like this post And I'll send it over (must be following so I can DM)

@Google I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓

@dr_cintas I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Claude Code just got an "App Store" for agent skills 🤯 There's a new massive library with over 250,000 agent skills that teach your AI how to do specific tasks. → Coding, writing, research, automation → Works with Claude Code, VS Code, Antigravity And it's 100% free to use.

@w1nklerr I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

OpenClaw setup made me $23,472 Literally overnight my $100 turned into $2,411 Average bot win rate 71% Copytrade: t.me/KreoPolyBot?st… Here is the full strategy: The system builds automated workflows for trading by turning domain expertise into structured skills that activate automatically when specific market conditions appear Skill architecture Each skill is a modular package that includes instruction scripts and reference data This allows the system to apply specialized workflows without needing manual input for every trade Progressive context loading Skills use a three layer structure Only minimal metadata loads at first Full instructions historical data and supporting resources load only when required This reduces resource usage while keeping advanced trading capability Trigger detection Skills activate automatically when market conditions match predefined triggers such as volatility levels orderflow behavior or news sentiment This ensures the right workflow is used at the right time without manual action Workflow execution Once activated each skill runs a predefined multi step process including Real time price tracking and order book analysis Factor generation and backtesting Signal aggregation from machine learning models news sentiment and orderflow Risk assessment and capital allocation Trade execution with retries and position splitting Consistency and reliability All workflows are embedded directly into the system which ensures consistent execution instead of random decision making Every factor signal and risk rule is applied in a structured way Testing and iteration Skills are continuously improved using historical backtesting simulated trading and live performance tracking to maintain reliability in real market conditions Automation edge Instead of creating new strategies every time the system repeatedly uses optimized workflows This reduces complexity increases consistency and scales performance across thousands of trades Performance snapshot Started one month ago with $500 Current daily profit $2,300 per day Morning profit today $71,452 The system runs fully autonomously constantly scanning markets generating signals auditing trades managing risk and executing orders to maximize compounding returns

@primemans I was facing the same problem with OpenClaw setup. So I built BuluClaw — deploy your AI agent in 60 seconds. Would appreciate feedback: buluclaw.com

Full OpenClaw Power,  Zero Setup Required.  That's exactly how InClaw AI runs. 1️⃣ Native Integration  •Connect your agents directly to WhatsApp, TG, Discord, Slack, iMessage, and Signal.  2️⃣Smart Model Routing  •Auto-Provisioning: 2C/4G servers deployed instantly.  •Dynamic Switching: Automatically picks the best LLM based on task complexity. 3️⃣Fully Customizable  •Custom Personas: Your bot, your rules.  •Autonomous Tasks: Set schedules & custom skills once, let them run forever. 4️⃣ Memory & Privacy  •Perfect Context: Long-term memory sync + short-term coherence.  •15-Day Privacy: Data lives on a self-hosted DB. Auto-purged after 15 days if not renewed — Your privacy, our priority. Stop building servers. Start building your business. 👇inclaw.ai #InClawAI #OpenClaw #NoCode #AITools #OpenClaw