Vedant Awasthi

I’ve always liked 90’s jingles. Simple. Catchy. Impossible to forget. Today, without a production team—and in just a couple of hours with AI—we created the first version of the Optiwise Anthem. Still rough. Still evolving. But the idea is clear: make something people can actually remember. “Optiwise hai saath mein Factory chale on time Any time, anywhere Kaam ho jaye right way” Does it stick? Would you remember this after hearing it twice? (Turn on Volume)

@x_t_a_r_k @zuess05 There are more tools for marketing then any other topics, but that will just ease out lead generation with all kinds of automations. Ultimately sales especially in B2b highly depends on personal connect and trust building with the customer for which there is no alternative "yet"

@VedantOps @zuess05 We need AI for marketing too😢

Every single person coding with AI right now: Day 1: Vibe-code an entire app Day 2: Buy the domain. Day 3: Sit down to start marketing. Day 4: See a competitor, panic, and go back to Claude to build something else. We are just watching thousands of developers violently avoid doing sales.

@brahma_4u China mastered the 'scale' game. The next decade isn’t about matching their volume—it’s about matching their velocity

China's net manufacturing output is almost 10X of India.

@aryanlabde A mediocre product with great distribution wins every single time.

Hot take: vibe coding without distribution is just an expensive hobby.

Bengal just opened a new chapter. Now the real test begins: can policy turn into factories, not just headlines?

A small Caribbean island is quietly making millions from AI. Without building a single AI product. Meet Anguilla. Population: ~15,000 Main industry earlier: tourism But today? A big part of their economy comes from just two letters: “.ai” Back in the 90s, every country got a domain code. Anguilla got “.ai”. At that time, it meant nothing. Just a random assignment. Fast forward to 2022 → AI boom begins. Suddenly every startup, every company wants: something .ai And guess who owns that? Anguilla. The numbers are crazy: ~$32M revenue in 2023 ~$39M in 2024 ~$85M+ in 2025 At one point, nearly 40–45% of government revenue came from .ai domains And this isn’t one-time money. Every domain: → gets renewed → keeps generating revenue It’s recurring. What’s even more interesting: They’re not wasting it. They’re investing in: airports healthcare infrastructure Not hype. Real development. Think about this. The entire world is building AI. But a small island is earning from it… just because they own the “naming layer.” There’s a bigger lesson here: Sometimes, value is not in building the product. It’s in owning the layer everyone else depends on. In manufacturing terms: Everyone is trying to optimize production. Very few are building the system that production runs on. And that’s where the real leverage is. If you’re building something today, ask: Are you building a feature… or owning a layer? This difference decides who works harder and who wins bigger.

Tata Electronics targets $30B revenue in 5 years from ~$15B current run rate. Revenue scaled from ₹400 crore to ₹1.3 lakh crore in ~3 years with >₹4,000 crore EBITDA. ₹91,000 crore Dholera fab + ₹27,000 crore Assam OSAT with ~70% subsidies; 70% fab capacity pre-committed.

@ujjwalscript Real Winners would be the ones who actually understand the customer’s pain because they’ve lived it. Anyone can prompt a 'sexy' UI into existence now, but you can’t automate real experience or the genuine passion to solve a messy problem.

EVERYONE is cheering that AI can build a SaaS in 5 minutes. NOBODY realizes that just made SaaS completely worthless. "Look! I built a CRM in 10 minutes!" Cool. So did 500,000 other people this morning. Here is what the tech world is completely missing right now: When the cost of creating what you built drops to zero, the value of the it itself also drops to near zero. If your entire product is just a nice UI wrapped around a database, you don't have a business anymore. An AI agent can build a hyper-personalized version of your app for your customer, for free, in real-time. So what actually survives the 2026 AI coding boom? 1. Physical World Integration Code is infinite. The real world is messy. An AI cannot navigate local regulations, manage physical hardware, or convince local schools to onboard onto a sports ground booking system. Software that bridges the gap into physical, offline logistics is the ultimate un-hackable moat. 2. Proprietary Data Pipelines If your app just calls the same OpenAI API as everyone else, you are dead. If your app sits on a mountain of exclusive, domain-specific data that the AI works on, you are invincible. 3. Human-Led "Partnered Execution" As the internet fills with synthetic garbage and automated bots, trust becomes the most expensive currency on earth. Businesses built on genuine human expertise, high-stakes career strategy, and actual 1-on-1 execution will command a massive premium because they are the only things that can't be faked.

@isenditbacc It’s a tough pill to swallow

This is the future of manufacturing in india as well. No having to deal with unskilled flaky labour, union problems. Yes, you still need people to create and maintain the machinery itself but that's highly skilled labour, different ball game that's more tolerable.

@prakdadlani Hype cycles are expensive lessons. Same script, different product. 📉 Classic boom-to-bust.

Just 2 months ago, the Indian market for Induction Cookers was on absolute FIRE! 🔥 No stock. Prices skyrocketing. Black marketing everywhere. Hoarding in full swing. Today? My inbox is flooded: “XX containers available in India” Chinese suppliers calling daily, desperate to clear stocks because Indians have stopped lifting. Classic sheep behaviour. We never learn. Same story happened with over bookings during COVID. 😷 China’s capacity is enormous, they can flood any volume. We go overboard the moment demand spikes. End result is always the same: mad rush → oversupply → pain. It’s just a game of passing the parcel.📦 Question is: who gets stuck when the music stops?

@VishakhRanotra Records are meant to be broken, but you’re making it look easy. 🛠️

MANUFACTURING MONDAY!! I’m happy to announce that our 4-axis CNC machine is now manufacturing precision springs at 1500 pieces/minute!! We have yet again beat our previous record of 1304 pieces/minute. According to our best knowledge, this might very well be the fastest CNC spring manufacturing machine in the world.

@Im_chaithanya07 @prakdadlani Hi Chaithanya, Yes it will be a good fit for FMCG As well. I Can show you how.

@prakdadlani Does it suits for fmcg manufacturers

We no longer call the warehouse to check stock. We no longer ask the team to rebuild a BOM every time a buyer wants a price. We no longer chase quotes, samples and notes across five different places. It all lives in one place now - ready & online. At least that is where we are headed. Here is the plan. One AI system sitting at the center of our entire operation: - Stock visibility in real time. - Costing that updates as prices move. - Quotes, samples and notes all on one platform. - Anyone on the team can log in and see exactly where things stand at any time. We are still building it. But the direction is clear. And here is the thing nobody tells you about AI. It is only as good as the data you feed it. AI does not replace discipline. It rewards it. Building this with the team at aican.co.in, @yashjgor and @VedantOps. Early days but genuinely enjoying the process.

My grandfather ran the factory from memory. He still remembers vendor prices and phone numbers. My father moved to Excel + logbooks. Me? I don’t even remember my second SIM number. But I operate 10x faster. Memory → systems → AI That’s the shift.

Last year, I took a challenge to prove my dad wrong. We run a 3rd generation oil packaging plant in Jalgaon. Like most MSME factories, it was… messy. Not because people weren’t working hard but because everything depended on calls, follow-ups, and memory. And my dad? He wasn’t a fan of systems. He had tried multiple solutions before. None of them worked the way he expected. So when I suggested using our own system, his response was simple: “Sab sahi chal raha hai. Zaroorat nahi hai.” One day, while he was working from our home office, I recorded a 5-minute video. In just those 5 minutes: - 7 calls - 2 from customers - 3 to the factory (production, dispatch, status) - 1 to a vendor - constant switching between WhatsApp, Excel, and calls That was his “normal.” I showed him the video and said: “Give me 3 months. If I can reduce this to half, we continue.” He agreed. In less than 2 months, everything changed. Instead of chasing updates, he started receiving them. Instead of calling people, he started checking the system. The chaos reduced. The visibility improved. And something interesting happened. He became our primary (unpaid) salesperson 😂 Recently, I visited again and compared. Earlier: - books everywhere - 3 dual sim card phones - multiple WhatsApp groups - constant calls (10–15/hour) - 6 hours spent firefighting Now: - fewer calls - clear visibility - more control - more time to actually think In fact, now he sometimes calls the factory just to find a reason — because he already has all the updates.(he is using the AI agents so much that i need to start charging him 🫠) He hasn’t directly said “this works.” But the way he talks about it to others… that says enough. Biggest learning: Most MSME factories don’t have a people problem. They have a system problem. And once that changes, everything changes. #msme #manufacturing #optiwise

@maahirpanchal We are working on the complete Msme Manufacturing OS to Digitize-Optimize-Scale, bringing all our 15+ years of experience in manufacturing

Who’s building an AI-code job-shop business?

@VishakhRanotra We’ve mastered the '0 to 1' of infrastructure; the next decade is about refining the '1 to 100' in quality and consistency

I know a lot of you are black-pilled but it’s not like nothing as improved over the years. It’s definitely not a bed of roses but we have progressed and made strides in a lot of places but we still have a very long way to go. We’re in it for the long haul and we must endure.

A TECH WORKER IN CHINA GOT FIRED BECAUSE HIS COMPANY SAID AI COULD DO HIS JOB CHEAPER. He had worked there since November 2022. His salary was 25,000 yuan a month ($3,655). The company offered him a new role at 15,000 yuan. A 40% pay cut. He said no. They fired him. Then a court in Hangzhou ruled the dismissal illegal. And the reasoning is what everyone needs to read. The court didn't say AI can't replace jobs. It said replacing a worker with AI is a voluntary business decision. Not an act of God. Not an unavoidable disruption. A choice. And if it's a choice, the company cannot force the worker to bear the financial risk of that choice. The exact quote from the arbitration panel: "By citing AI replacement as grounds for dismissal, the company had effectively shifted the risks of technological iteration onto its employees." That framing is everything. Every company running AI layoffs right now is calling it "market forces" or "operational efficiency." The Hangzhou court just said: that's not a weather event. That's a strategy. And your strategy is not your employee's liability. This isn't one case. Last year, a data mapping worker in Beijing was replaced by AI and won a similar arbitration. Same logic. AI adoption = business strategy = company's risk to absorb. The Hangzhou Intermediate People's Court published this ruling on April 28, 2026. Timed exactly to Workers' Day on May 1. That timing was deliberate. China's core AI industry hit 1.2 trillion yuan in 2025. Over 6,200 AI companies. The government is pushing mass AI adoption across industries. By 2030, they expect AI agents to penetrate 90% of terminals. And yet they published a court ruling protecting workers from being discarded in the process. That tension is intentional. China wants AI adoption and worker stability at the same time. This ruling is the legal infrastructure for that balance. What this means for the rest of the world: Every knowledge worker watching their job get automated should understand what China just established. The question isn't "can AI do your job." The question is "who pays when a company decides to let AI do your job." Right now in the US and most of Europe, the worker pays. Through severance negotiations, at-will employment, and no legal protection when a company restructures around AI. China just created a different framework. AI replacement is a business decision. Business decisions come with business obligations. You cannot just hand the employee the bill. I don't know if this precedent spreads. I don't know if Western courts will follow. But I know this: the 2.1 million people who saw that BRICS post yesterday aren't sharing it because they love Chinese labor law. They're sharing it because they're scared. And they're right to ask: if AI is a business strategy, not a natural disaster, why is the worker the one absorbing the risk? That question doesn't have a good answer yet. But at least one court just tried to give one. Bookmark this. This legal framework will matter more over the next 24 months than most people realize. --- Sources: Caixin Global, NPR, China State Council Information Office (scio.gov. cn), Dexerto