🔥 OpenClaw Telegram tip: Create a group with Topics instead of one messy DM. Each topic = isolated AI session. Leads, Content, Dev, Reports - all separate context, zero bleed. Takes 2 min to set up. Game changer. #OpenClaw #AI #Telegram

Do you need to build an ecommerce website / mobile app now? No. You need something simpler. Google just launched the Universal Commerce Protocol (UCP) at NRF 2026. 20 retailers including Walmart, Target, and Shopify co-developed it. Visa, Mastercard, and Stripe endorsed it. The premise: AI agents will handle checkout inside conversations. No website clicks. No cart abandonment. Just chat to purchase. Sounds intimidating if you're a growing business. But here's the truth: You don't need to build a platform. You need to be where your customers already are. WhatsApp. Instagram. Facebook. Web chat. And you need conversational workflows ready to sell. That's it. At ChatMaxima, we help businesses do exactly this: ↳ Manage all channels from one dashboard ↳ Automate product discovery and lead qualification ↳ Guide customers from "just browsing" to "take my money" When agentic commerce arrives, the winners won't be those with the fanciest tech. They'll be the ones already having sales conversations at scale. Start simpler. Start with conversations. #ConversationalCommerce #ChatMaxima #WhatsAppBusiness #Ecommerce #AI

Anyone can learn cold calling, email sequences, and LinkedIn outreach. Hitting send after no response on the 47th email, call, or DM? That's rare. It's where 95% of founders and sales reps quietly give up. There's a name for it: The 𝗦𝗶𝗹𝗲𝗻𝗰𝗲 𝗚𝗮𝗽. Here's what it looks like: Week 1: You're fired up. 100 cold calls. 50 emails. 30 LinkedIn DMs. Perfect follow-up cadence. Week 3: 300 calls. 200 emails. 100 DMs. Zero meetings booked. Your CRM is full. Your pipeline is empty. The brutal stretch between activity and results. Where the process is working, but the scoreboard says otherwise. Here's the truth about sales: The playbook is simple. The 𝗘𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝗗𝘂𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 is the moat. Most reps don't fail because they lacked skills. They fail because they couldn't survive the silence between "no" and "not yet." The top performers aren't naturally gifted. They just kept showing up. One more call. One more email. One more DM. Longer than their doubt told them to. If you're in the gap right now: your pipeline is building. The momentum is compounding. You just can't see it yet. That next touchpoint might be the one that lands. Keep going. #Sales #ColdOutreach #Founders #StartupLife #SalesTips

Fastest builder vs fastest seller. Who wins? Everyone debates this.. Here's my take. I've seen brilliant engineers build products nobody wanted. I've seen amazing salespeople sell vaporware they couldn't deliver. Here's what actually matters: The founder who learns fast wins. Why? → Coding fast without customer signal = building in the dark → Selling fast without product reality = buying yourself churn → Learning fast = knowing when to code and when to sell The best founders I've met aren't the fastest coders OR sellers. They're the ones who figured out: • When to stop building and start selling • When to stop selling and start building • How to compress that feedback loop to days, not months Speed without direction is just expensive chaos.

Excited to be part of The Next Startup Summit on January 10, 2026, hosted at Sri Shanmugha Educational Institutions, Salem. The event is organized by @aakam360 in association with @TheStartupTN . Looking forward to connecting with like-minded entrepreneurs from the region and exchanging ideas that move startups forward.

Robots are now backup dancers at concerts. And they're doing backflips. Unitree's G1 humanoid robots just performed alongside Wang Leehom at his Chengdu concert. 18,000 people watched robots move in perfect sync during "Open Fire." The crazy part? Their movements are so smooth, they look human. These robots can even pull off Webster flips. Most humans can't do that. A few years ago, this would have been a sci-fi movie scene. Today, it's a Friday night in China. What strikes me isn't the technology itself. It's how quickly we're normalizing AI and robotics in spaces we considered purely "human." Entertainment. Creativity. Performance. We're now choreographing with technology.

𝗛𝗮𝘃𝗲 𝘆𝗼𝘂 𝗲𝘃𝗲𝗿 𝗳𝗲𝗹𝘁 𝗔𝗜 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗵𝗮𝘃𝗲 𝗵𝘂𝗺𝗮𝗻-𝗹𝗶𝗸𝗲 𝗺𝗼𝗼𝗱 𝘀𝘄𝗶𝗻𝗴𝘀? Some days brilliant. Some days... not so much. Turns out, there's a word for it: 𝗡𝗲𝗿𝗳𝗶𝗻𝗴. Yesterday, Claude wrote flawless Python code. Today? It forgot how to close a bracket. When humans underperform, we blame sleep. When AI underperforms, We screams "They nerfed !" What actually happens behind the scenes is model routing. On subscription plans, you are not always talking to the same model. 𝟭. 𝗟𝗼𝗮𝗱 𝗯𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗶𝘀 𝗿𝗲𝗮𝗹 During peak hours, you might get routed to a smaller, faster model. Same interface. Different brain. 𝟮. 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝘄𝗶𝗻𝗱𝗼𝘄 𝗳𝗮𝘁𝗶𝗴𝘂𝗲 Long conversations = degraded outputs. The AI isn't dumber. It's drowning in context. 𝟯. 𝗧𝗲𝗺𝗽𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝘃𝗮𝗿𝗶𝗮𝘁𝗶𝗼𝗻𝘀 Slight config changes on the backend = wildly different responses. You'll never know it happened. 𝟰. 𝗬𝗼𝘂𝗿 𝗽𝗿𝗼𝗺𝗽𝘁𝘀 𝗰𝗵𝗮𝗻𝗴𝗲𝗱, 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 We blame the AI. But sometimes we just asked the question differently. (Will write a separate post on this soon) The fix? → Keep conversations short and focused → Restart fresh for complex tasks → Save prompts that worked, reuse them → Use API access when consistency matters Here's the uncomfortable truth: We've built expectations of perfection for technology that's fundamentally probabilistic. AI doesn't have bad days. 𝗜𝘁 𝗵𝗮𝘀 𝗽𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀. And sometimes, you land on the wrong tail.

Mobile cameras were supposed to kill photo studios. Instead: Photos/year: millions → trillions New billion-dollar industries emerged "Content creator" became a profession AI follows the same pattern. Markets expand, they don't contract. The question isn't IF AI takes your job. It's how fast you adapt to do 10x more.

China banned firecrackers at weddings. Pollution, fire hazards, noise complaints. So what did people do? They invented balloon firecracker trains. Red balloons pulled through a spiked wheel. Same sound. Same vibe. Zero smoke. Zero fines. This is peak Chinese jugaad. And honestly? Strict rules don't kill behavior. They just push it underground. Enforce rigid processes on your team? Watch them build shadow systems to get actual work done. The smartest governance isn't about control. It's about understanding what people actually need and finding better ways to deliver it. Constraint should spark creativity. Not resentment.

State of AI: An Empirical 100 Trillion Token Study This research from @openrouter analyzed billions of real-world AI interactions to understand how people actually use LLMs. Key findings: → 52% of open-source AI usage is conversational/roleplay → 50% of inference now goes through reasoning models → Open-source hit 30% market share → Programming grew from 11% to 50% of usage. The "Glass Slipper" insight comes from their retention analysis: Early users who find perfect model-workflow fit show 40% retention vs. 5% for late adopters. openrouter.ai/state-of-ai

The "Cinderella Glass Slipper" effect, a common phenomenon in AI adoption. A massive new study from @openrouter , Inc analyzing 100 trillion tokens of real-world AI usage just revealed something fascinating: When a new AI model perfectly solves your specific problem, you stay forever. The retention data shows it clearly: → Early adopters who find "the fit" retain at 40% → Late adopters churn at 10x the rate → Switching costs become psychological, not financial Once the glass slipper fits, you stop trying on other shoes. The lesson for businesses? Stop chasing the "best" AI. Start finding YOUR AI. The one that fits your: ↳ Customer conversations ↳ Team workflows ↳ Integration needs At @chatmaxima , we obsess over this fit. Because the right AI for your business isn't the most expensive one. It's the one that makes your team and customers feel understood. #AI #ProductMarketFit #CustomerSuccess #ConversationalAI

Noticed something interesting today, a DeepSeek moment for Voice AI. Resemble AI open-sourced their best TTS model. Not a watered-down version. The real thing. Beats the paid alternatives. Ships with AI watermarking. Every file traceable. Most companies open-source the leftovers. These guys shipped the main course. Worth a look: lnkd.in/g8TKd7gC #BuildInPublic #AITools #OpenSourceAI #Startups #VoiceAI

1 in 3 new startups are now solo-founded. Up 53% since 2019. AI is making one-person startups possible. But is solo founding actually better? Here's what the data says: The case FOR solo founding: → 75% more ownership at exit than lead co-founders → Same round sizes and valuations at Series A → Faster exits (fewer people to align on decisions) → No co-founder conflict (the #1 startup killer) → More equity to attract top talent early The case AGAINST solo founding: → It's emotionally intense and lonely → You're the single point of failure → Harder in deep-tech where you need complementary expertise → No built-in thought partner for tough calls → You have to be an exceptional recruiter from day one How AI is changing the game: This is why solo founding jumped 53% in 5 years. AI now handles what you needed a co-founder for: → Can't code? AI helps you build MVPs → Can't design? AI generates graphics and copy → Can't write? AI drafts content and proposals → Can't handle support? AI manages customer conversations 24/7 → Can't do everything at once? AI lets you be multi-threaded Many of the skills you once needed a co-founder for can now be supplemented by AI, allowing one person to build the initial prototype. The real shift? Solo founders aren't replacing co-founders with AI. They're replacing the need to wait for the "perfect" co-founder. AI doesn't give you a thought partner. But it gives you leverage. And leverage is what turns one person into a team of one. #SoloFounder #AIStartups #Entrepreneurship #BuildInPublic #StartupLife

Your best product ideas aren't in your roadmap. They're buried in your support tickets. Every "How do I..." is a UX problem. Every "Can you add..." is a feature request. Every "This doesn't work for me..." is a segment you're ignoring. Your support team talks to frustrated customers all day. Your product team talks to spreadsheets. Guess who knows what to build next? The gap between a good product and a great one isn't more engineers. It's listening to the people on the front lines. If your support team isn't in your product meetings, you're building blind. #ProductManagement #CustomerSupport #StartupLife #BuildInPublic #Leadership

Made $5,000 from a domain I forgot I owned. Maybe "doing nothing" is an investment strategy after all. 😀

We tracked 100,000 conversations in the past few days. Here's when customers actually message for most businesses: 𝟲 𝗔𝗠 - 𝟵 𝗔𝗠: 8% → Early birds. Checking phones before work. 𝟵 𝗔𝗠 - 𝟭𝟮 𝗣𝗠: 22% → Morning rush. Your team is online. Great. 𝟭𝟮 𝗣𝗠 - 𝟯 𝗣𝗠: 18% → Lunch break browsers. Still covered. 𝟯 𝗣𝗠 - 𝟲 𝗣𝗠: 14% → Afternoon wind-down. Team's wrapping up. 𝟲 𝗣𝗠 - 𝟵 𝗣𝗠: 19% → After work. Your team? Gone. 𝟵 𝗣𝗠 - 𝟭𝟮 𝗔𝗠: 12% → Night owls. Nobody home. 𝟭𝟮 𝗔𝗠 - 𝟲 𝗔𝗠: 7% → Insomniacs and different time zones. Now let's do the math: 𝟯𝟴% 𝗼𝗳 𝗮𝗹𝗹 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝗵𝗮𝗽𝗽𝗲𝗻 𝗮𝗳𝘁𝗲𝗿 𝟲 𝗣𝗠. More than 1 in 3 customers reach out when your team isn't there. Here's what happens to those messages: → 60% expect a reply within an hour → 23% expect a reply within minutes → By morning, 40% have already messaged a competitor You're not losing leads because of bad marketing. You're losing them to the clock. The businesses winning right now aren't the ones with bigger teams. They're the ones who figured out how to be "online" at 11 PM without burning out their staff. Your customers don't care about your office hours. They care about their schedule. The question isn't "Should we respond faster?" It's "Who's responding when we're not?" #CustomerExperience #BusinessAutomation #ConversationalAI #SalesStrategy #LeadGeneration

Your phone just became your personal AI assistant. And I'm not talking about Siri or Google Assistant. AutoGLM from Zhipu AI lets you automate most common tasks on your phone using natural language. Here's what makes it different: It sees what you see ↳ Uses vision-language understanding to read your screen in real-time It acts on its own ↳ Give it a prompt, and it navigates apps, clicks buttons, fills forms It stays on your device ↳ Runs 100% locally. No cloud. No data leaving your phone. And the best part? It's completely open source. This is what phone AI should have been from day one. Not a voice assistant that misunderstands you. An actual agent that gets things done. The gap between "I wish I could automate this" and "done" just got a lot smaller. #AI #OpenSource #Automation #MobileAI #TechNews

What if AI makes mistakes? Better question: What if your team already is? → 35 inquiries missed after 6 PM → 10 follow-ups forgotten during busy days → Wrong prices from outdated spreadsheets Nobody tracks these "invisible" errors. But they cost more than any AI ever would. Compare AI to reality, not perfection. #AI #CustomerService #ChatMaxima #Automation #BusinessGrowth

A real estate company saved $6,000/month by automating repetitive inquiries with @ChatMaxima: → 73% of queries handled by AI → Site visits up 40% → Response time: 2hrs to 8 seconds The surprise? Conversion rates went UP. AI doesn't replace salespeople. It frees them. #RealEstate #AI #ChatMaxima #ConversationalMarketing #WhatsAppAutomation