Knowledge means nothing without movement. And movement means nothing without repetition. We saw so many people try to jump to the finish line - scrolling for answers, collecting advice, taking notes on notes but never taking action. The truth is simpler: If you’re lost → learn. Information gives clarity. You can’t solve a problem you don’t understand. If you’ve learned → act. Books and courses don’t build momentum. Execution does. If you’re acting → stay consistent. One great day won’t change your life. A hundred small ones will. Growth isn’t magic. It’s a sequence: Learn → Do → Repeat. No shortcuts. No secret formula. Just education, execution, and consistency - stacked brick by brick. If you want to change your future, don’t look for a hack. Look for your next step. Credit: @aakashgupta

Google Search Console is rolling out weekly and monthly views - more granular data seroundtable.com/google-sear…

1. Aap pura market ghum ke aajaana, better bhaav nahi milega 2. Maal parso ladka leke chala gaya tha. Shayad gaanv chala gaya hoga 3. Can do everything saar! Increase your budget saar. (And ends up delivering the same old s***t with higher quotes)

We're almost finished creating the most powerful onpage SEO Checker Tool in existence.. And we're going to give it away absolutely FREE! For now... This is the same tool we use for technical audits for client sites ($1,000 value) and for our own brands' websites. It replaces a $279 per year software cost. (Screaming Frog) Want early access, guaranteed 100% free? Comment "CHECKER", Like & Repost to get the tool link sent to you when it goes live. (Must be Following to receive DM)

I showed a business owner how to automate 2 hours of WhatsApp work per day. His response: 'If I automate it, what will that guy do for the rest of his time? I'm paying him a full salary.'

Always an operation problem 💯

Not everyone gets me when I say all this about marketing n growth. but @liftplaycode, you get me 🤣

When someone says, something is dead, the person is usually pitching to sell a new ‘shiny object’. Sad world these days. But darr hi bikta hai, kya karein!

Insane amount of respect for people who change careers/tracks in life and start new from scratch when things dont serve any purpose to them anymore

Just finished a workshop with my team for a new product, and it just hit me all the new things we are doing right now! - a personal finance product - a scholarship program for school students - a podcast on failures - a new book on relationships - 2 new courses on freelancing and public speaking - a new song being produced All this, while we - continue to grow our 16M social media presence, - build our 460,000 students strong courses business, - hit records profits as per the latest ITR filed - keep the team size intact - work 100% remote, fully async, with no managers Bootstrapping is hitting a whole new high every year 💪

Most “user research” in Indian startups are just people in AC rooms imagining what Bharat wants.

This could be a demonetisation moment for Indian B2B software spends. Every large PSU/ Private Indian corporate spend on AWS, GCP, Azure, G-Suite, Salesforce etc is going to be questioned. It's already in the Billions - enough to birth local competition. bloomberg.com/news/articles/…

please i beg you, dont make an automation agency make a productized service that has defined recurring deliverables that uses automations to do 90% of the work and can run at a 80% margin

Your AI is too nice for the Indian ecosystem I've lately noticed intense rivalry among AI solutions developed for the Indian market. We have too many founders building too similar products, or even the exact same products - over and over again. Take voice agents; there are 10-15 companies building these for the same industries, targeting the same use cases, and pitching to the same clients. This has created intense competition in a very small market. It's a paradise for potential buyers who get multiple POCs done often without responding because we are not solving a critical need. They have numerous choices, giving them tremendous negotiating power. If you offer a voice call for 10 rupees, they'll ask for 5; if you agree to 5, they'll push for 2; at 2 rupees, they'll demand 1; and at 1 rupee, they'll try to get it for 50 paise. They're constantly undercutting prices. What works in B2B in India is either having strong connections that lead to implementation, or offering services at a much cheaper price-sometimes at cost or even below cost-hoping it's a customer acquisition tactic that will lead to long-term retention. Unlike SaaS products, AI use cases are often complex, requiring workflow mechanisms and drag-and-drop functionality. AI currently needs to be treated as a services layer, not a SaaS layer. When you position yourself as "build your own prompts" or "drag-and-drop builder," making it work properly is challenging, and you end up functioning as a services firm by orchestrating APIs. This makes clients wonder why they should pay you so much when they could potentially build it internally. They might lack the engineering bandwidth or conviction initially, so they'll take your POC and eventually build their own solution. I recently visited a BPO to pitch some products and observed two types of agents. One group was handling loan collections, with agents aggressively confronting borrowers: "You took a loan. Why aren't you repaying? Don't you have any shame?" In another section, agents were selling insurance, sometimes flirting with potential customers to persuade them to buy policies. Though I don't endorse any of those tactics. The AI we're building is too nice for the Indian economy. You need the right language, dialect, tone, and tonality. When we promote AI as a replacement for call agents, it's somewhat misguided because we lack the appropriate training data in the Indian context. Yet we pitch "AI call centers," which isn't realistic. Customers recognize this inefficiency and view AI as a nice-to-have rather than a must-have, which is why they try to undercut costs. You only gain leverage when you're building something essential. The problem is that many of us consider ourselves tech entrepreneurs and avoid the dirty work of research, data collection, and training. Until that changes, we're not solving real problems. We blame Indian customers for not paying enough rather than tackling the fundamental issues. (My observations)