Veer Manhas

"We need to publish every day." -- Every CMO So you did. Full publishing calendar. Writers using AI however they think is right. Fast forward to month 3, vanity numbers moved and revenue attribution is still the same. You move to optimize the content, which you could have done in the first 3 months. Month 6, looks better but no outcomes. We cut a client's publishing to 6 pages a month and went from 4 to 71 AI citations in 3 months -- on unbranded prompts, the questions their buyers were actually asking. You don't need more pages. You need fewer, deeper ones your buyers actually look for. Google and AI answers now hold dozens of pages just like yours. They cite the one that adds something new. Adding something new can be: 1. Your own data 2. First-hand experience from real client work 3. A clear verdict where everyone else hedges What to do this quarter: 1. Write less of "what is" and "how to" for traffic. AI Overviews answer those now. Keep them only to support a money page. 2. Write the pages buyers compare with: "X vs Y" with an honest verdict, alternatives, case studies with real numbers. 3. Give every buyer and problem its own service page, with pricing, process and real objections answered. 4. Refresh those pages before you publish anything new. 5. Report citations and pipeline, not pages shipped. Do you bet on depth, or spray now and optimize later?

We’re hiring a content writer Lil Big Things. SEO and AEO. 3-month paid internship. You’ve written enough to know what you sound like. Nobody has trained you to sound like everyone else yet. That’s who we want to teach search to. We rank #1 on Google for “website visibility.” Your posts get built on the same method. What we’re looking for: >> Three published articles, anywhere. Portfolio over degree. >> One skill you taught yourself this year, and how. >> You check every statistic against its source before it ships. >> You’re curious how AI search decides who to cite. If you even can do at least 1 of the above, apply, do not shy away. I believe it's about the people, skills we can always learn. India, remote, starting immediately. 3 months, ₹15,000 to 25,000 a month, with a job offer up to ₹6 LPA after. Full brief and how to apply: lil-big-things.notion.site/C… If that’s you, or you know that person, send it their way. Writer seat. We’ll teach the search.

Is hiring easy with AI?

From, Dude where’s my car? to “Dude, where’s the moat?” — @aplusk From Hollywood to investor. Loved the conversation at @StartupGrind Conf 2026. #startupgrindconference #sgconf

How to be lean mean building machine @StartupGrind #SGConf #startupgrind

People expect Jarvis and get another intern tripping everyday. That's what has happened with OpenClaw. I have setup 2 OpenClaw agents + Vector DB and some local LLMs, with advanced LLM routing natively. One on Pi 5 and another one on my old Macbook Pro M1. It will forget it has access to certain tools it build, even if you ask it to contextualize, take snapshot, make SoPs for certain tasks. I found that I have become a full time support for my OpenClaw rather than the other way around. When I was able to get more out of it? Event based systems that activates the agent, with specific prompting that makes sure it runs well. Batching processes, for tasks that need to be done periodically. Again, the most important part will be prompting. I am right now, trying to formalize event based architecture for it since that is the one that works the best.

This is how I saved 50 hours screening 100 job applicants. With an AI recruiter that conducted verbal phone screens. 500 applications came in for one role. Traditional HR approach: → 8-16 hours just on scheduling emails → 25-33 hours on actual calls → 8 hours taking notes → 4-6 hours comparing candidates → 3-4 weeks of calendar time 📊 Total: 61 hours spread over a month My AI approach: → Set up ElevenLabs AI agent (1-2 hours, one-time) → AI conducted 100 verbal screens (10 min each) → Reviewed transcripts and recordings (6 hours) → Made final decisions (2 hours) → 1.5 days of calendar time ⚡ Total: 10 hours. Done in 36 hours. 💰 Saved: 50+ hours of work. 3 weeks of waiting. The setup was absurdly simple: >> 🤖 ElevenLabs AI Agent ($22-68/mo depending on volume) 🔗 Zapier for automation ($50/mo) >> 📋 Notion for tracking (free or $9/mo) Total cost: $72-127/mo For 100 screening calls, actual cost was $68 for ElevenLabs (Creator plan $22 + $46 overage). 💡 That's $0.68 per candidate screened. Here's what shocked me most: The AI was MORE consistent than I would've been. ✓ Same questions every time ✓ Same evaluation criteria ✓ No decision fatigue by candidate 73 The candidates actually preferred it. ✓ No scheduling back-and-forth ✓ No waiting weeks for a response ✓ Just a 10-minute call at their convenience I wasn't replacing human judgment. I was getting to the judgment part faster. The AI handled pattern-matching: ✓ Communication skills ✓ Basic qualifications ✓ Salary expectations ✓ Availability I handled what actually matters: ✓ Vision alignment ✓ Cultural fit ✓ Strategic thinking ✓ Final decisions This is what "AI-native operations" actually means. Not dashboards. Not hype. Just removing the parts that drain your energy so you can focus on the parts that require your brain. 🚀 If you're hiring right now and drowning in applications, you need this system. 👇 Comment "HIRE AI" below and I'll DM you the complete setup guide, the exact workflow, agent prompts, and automation I used.

Nonsensical parking etiquette. Narrow road in yelahanka. Then people cry, why so much traffic???? @blrcitytraffic

Could this be the beginning of Slack’s downfall? When the CEO of a major enterprise platform leaves to join OpenAI as CRO, it’s not “just another exec move.” It’s a lighthouse. It signals that even the leaders of legacy collaboration tools believe: 👉 AI-native work is going to swallow chat-based work. Slack has been slower than expected in: AI agent adoption Automation Integrating true context-aware workflows Moving beyond being a better IRC with emojis Meanwhile, OpenAI is building an enterprise layer that doesn’t just chat — it thinks, acts, summarizes, delegates, and executes. If agents handle operations, and AI handles communication… Why do we need Slack the way we used to? Slack becoming “the interface” for work was the dream. But AI is making the interface irrelevant. Work is shifting from typing in channels → asking systems to act. And when your CEO leaves for the company accelerating that shift… That’s not a coincidence. That’s a narrative. Is Slack the next company to be disrupted by the very thing it tried to bolt on too late?

I’m going to be marketing my new brand MarketSprint through SEO/AEO, inspired by @Webflow’s latest eBook on AEO. We quietly launched this brand and started taking pilot projects — with zero active marketing so far. As of now: -- Domain Rating (DR): 17 -- AEO Score: 0 across -- Some organic traffic trickling in Now, I’m going to start leveraging the eBook and experiment with AEO to see what happens. Follow along — I’ll share updates openly (no gates), answer questions, and document everything as I go.

This saved our agency. We were working hourly and per scope. Work was sporadic. 3 months without work burned our runway. I almost gave up. Productizing/retainers were cool a few years ago, we thought let's join the party. Our inspiration - @FlowoutHQ Took 3 months to move most of our clients. 80% retained on retainers and others on hourly contracts. Things changed, cash flow improved, we were able to hire more talent, retain talent and clients. Gave us more flexibility to do lead generation. Cashflow compounded as we moved along, allowing us to expand with calm demeanor as compared to always firefighting. Took 6 months or so to be effective.

What dumbest thing you ever said to a prospect? I’ll start, “Can you tell me your budget first?”

Vibes Don't Stop Data Breaches: The Security Crisis of "Just Ship It" Culture The painful truth about "vibe coding" no one wants to admit? It's building castles on quicksand. Look at what happened in that post - a dev with 15 lines of Python accessed: 💸 Personal debt information 🏠 Home addresses 🔑 Admin API keys 💭 Private system prompts All from "top launched" products built by celebrated creators. Here's the problem: Coding for vibes prioritizes aesthetic, speed, and engagement above fundamentals. It's the equivalent of building a beautiful house without checking if the foundation can support it. Security isn't a feature you bolt on later. It's the infrastructure everything else depends on. Most "vibe coders" skip these critical practices: - Input validation - Proper authentication - Environment variable management - API security testing - Data encryption The industry celebrates shipping fast, but remains silent about the technical debt that accumulates when fundamentals are ignored. Validate your product? Absolutely. Move quickly? 100%. Skip security fundamentals? That's not innovation - it's negligence. Build fast, but build right.

I am loving doing our taxes this year!

Here are the apps we use for our customers at MarketSprint to build apps for businesses that optimize for sales and retention.

Created a car mechanics in 30 mins on Replit. If I had to do this by myself probably looking at 30 hours or more because I am not the best at ThreeJS. Still need to solve the collision mechanics, but what else should I add?