Say goodbye to manual clicking. EasyClaw AI-Powered RPA is officially LIVE! 🦞🤖 You can now build custom desktop automation in seconds. No code, no complex logic. Here is how the game-changing RPA workflow works: 1️⃣ Describe: Tell EasyClaw what you want to automate in plain language. 2️⃣ Record: AI runs and records, building a reusable script instantly. 3️⃣ Execute: Run the script anytime with 0 token consumption 4️⃣ Customize: Easily tweak parameters before every run. 👉 Download for FREE (200 daily credits included): easyclaw.com/?sfrom=150&key=… #DesktopAutomation #AIAgents

Use AI to accurately find your target customers Here's the hands-on path we teach others 👇 Step 1 — Generate a candidate list with AI 🤖 Type directly into the chat: "Search 100 US distributors for [product category], analyze their background, and give outreach suggestions." AI pulls from business databases, customs data, and social media to deliver a structured list. Step 2 — Find the decision-makers 🎯 Once you've confirmed the companies, let AI find the right contacts and emails. Not info@ — the named purchasing lead. If they have a LinkedIn profile, follow the connections — the hit rate is high. Step 3 — Build your "digital presence" ✨ Most people skip this, but it's critical. Outreach goes both ways: while you search for them, they'll search for you too. If their AI finds you and your profile is blank, your response rate drops hard. Let AI organize: what you can do, what you don't do, and what kind of partnership you excel at. Define your boundaries in clear language ，so when you're found, you're found accurately. Step 4 — Set scheduled tasks, stop manual tracking ⏰ Opened-but-no-reply, clicked-the-link-but-silent — all need timely follow-ups. Hand this entirely to AI. Who opened, who didn't reply, when to send the second email — AI watches it all. You only handle the conversations with real intent. One last thing 💬 A low reply rate usually isn't an email problem — it's that you're not reaching valid customers in the first place. A valid customer must pass three layers: ✅ They're actually purchasing this category (verified records, not guesses) ✅ You're connected to someone with decision-making power ✅ Your first email contains what they actually care about AI helps you verify these three layers at scale. 🔍 The sooner you hand customer-finding to AI, the more time you free up for what truly needs human judgment: talking, building trust, and closing the deal. 🤝 At EasyClaw, we're turning this outreach process into a repeatable tool. If you're doing overseas outreach too, let's talk. 🚀 #easyclaw #ai #agent

EasyClaw is Recruiting AI Trainers! 🎓🚀 Got AI training expertise? Partner with #EasyClaw to monetize your knowledge and deliver real AI automation to businesses worldwide. Why Partner With Us? 💰 Monetize Your Expertise: Get compensated fairly for every training session you lead. 📈 Long-Term Ecosystem Value: Unlock recurring rewards as your clients grow and scale with our platform. ⚡ Seamless Adoption: Offer a low-friction solution that your audience can easily accept and implement. Stop selling hard-to-implement tools. Teach with an AI Agent platform your clients will actually use! 👉 DM us to become an official EasyClaw Trainer now #EasyClaw #AIAgents #AITraining #CorporateTraining #EdTech #AffiliateMarketing #B2BAutomation

Hot take: For anyone doing overseas business, the hardest part isn't email. It's people. You just can't find customers. How do you find them? Google keywords → open each site → judge it → grab contacts from LinkedIn → dump into a spreadsheet → write outreach emails. A skilled person filters out ~20 decent leads a day. Out of those 20, how many actually reply? The core problems: Human energy is limited. How many can you find manually? Info is everywhere, you judge it yourself. Lots of noise, low hit rate. You only know their name — not what they're buying or their pain points. People think AI outreach = "auto mass messaging." You've got it backwards. The real move: hand "finding" + "filtering" to AI. Keep "talking" for humans. AI beats humans in 3 spots: ① Batch filtering across sources Customs data, LinkedIn, B2B platforms. It's all public, just scattered. AI scans by product, market, purchase frequency. Pulls out buyers who actually bought this category in the last 3 months. ② Decision-maker mining + contact enrichment Emails to info@ sink 90% of the time. AI digs deeper: who's the purchasing lead? LinkedIn? Email? Hit the decision-maker directly. ③ Personalized cold email AI combines purchase history + company size + product direction. Writes that first email. They can tell you did your homework. Reply rates? Totally different. #ClaudeAI #OverseasBusiness #ColdEmail #LeadGeneration #AI #Sales #CrossBorder #easyclaw

It's already 2026. 🤔 Can ordinary people still do cross-border ecommerce? Have the old playbooks completely cooled off? Those who hype "cross-border ecommerce is easy" day in and day out Are they really making a million a year? 💰 Here's a hard truth. 👇 If you want to do cross-border #ecommerce, you have to endure the following pain 👇 #Easyclaw

r/SaaS's most-relatable post: “I finally got my first paying customer after 8 months. $70.” The top comment reframes it: “a stranger deciding your thing is worth their money... pure signal. Now go ask them what almost stopped them from paying.” What's the one signal you're chasing right now — and how do you know when you've found it? 👇 Share your method in the thread. Cut the noise at the source — DM us for 500 credits and professional agent guidance aligned with the exact milestone in front of you.

Yesterday we visited a partner cross-border e-commerce company. The 200㎡ space was practically unmanned 🤖 AI took over the computers entirely. Automatic product listing 📋 Automatic sales 💰 Automatic store management across dozens of countries 🌍 If you still think going global is about manpower, money & distribution channels — think again. The future may come down to one thing: whoever turns AI agents into their employees first ⚡ Competitors move before people even react. The biggest fear in product-selection decisions isn't "lack of data" — it's "data that's always a step behind." 🐢 Competitor price cuts 💸, new launches 🆕, a sudden flood of negative reviews 📉 — these signals are usually caught by ops staff scrolling their phones. By the time they notice, others already reaped the traffic. 🏃♂️ We used EasyClaw's customized agent to turn this into a scheduled task ⏰ 1️⃣ Research the category, identify target competitors 2️⃣ The system auto-captures competitor data daily — price swings, comment spikes, listing activity 3️⃣ Any anomaly (sudden price drop, review surge) → warning auto-pushed to ops team 📲, no manual digging The key isn't "AI can understand competitor data" — it's flipping the process from "humans remembering to do it" → "the system proactively reminding you." 🔔 The real bottleneck in decision speed isn't analytics — it's whether anyone notices the signal in time. 📱 We scroll TikTok all day for inspiration. But watching videos ≠ understanding videos. Most content just gets swiped away. We hand this step to EasyClaw for structured breakdown 🧠 A viral video/image → extract the background setting, pain-point hook, conversion script & pacing. Output isn't a review — it's a localized script you can directly apply. 🎬 Operators no longer "feel this is viral" — they clearly see why it's viral and whether it can be replicated on their own products. 🎯 It's not about "seeing more viral videos" — it's about "turning every viral video into an actionable strategy." 📌 #AIProductSelection #CrossborderEcommerce #Easyclaw