Vikram Sharma

Review freshness matters more than review count. A business with 10 recent reviews will often outrank one with 200 old ones. Are you tracking how your review velocity affects your map pack rankings? #LocalSEO #GBP #GoogleBusinessProfile

Everyone's talking about AI search. But AI still pulls from local signals — GBP, reviews, citations. If your local SEO foundation is weak, no amount of AI optimisation will save you. Track it. Fix it. Win. #LocalSEO #AISearch #GBP

Most local businesses think they rank well on Google Maps. They don't. They just rank well at their own address. Geo-grid tracking shows the full picture. That's exactly what Loca Track does. 📍 #LocalSEO #GeoGrid #LocalSearch

The more I dig into payment infrastructure, the more I realise how much founders from non-Stripe countries have to think about before writing a single line of code.

We're bringing the advisor strategy to the Claude Platform. Pair Opus as an advisor with Sonnet or Haiku as an executor, and get near Opus-level intelligence in your agents at a fraction of the cost.

Even one-time purchases aren't safe. I tried buying a domain on Namecheap. Couldn't pay directly. Had to add money to their wallet first, then pay from the wallet. For a domain purchase. In 2026.

Stripe doesn't work in India. You request an invite and wait. India has Razorpay - works great domestically. But if a US customer sees Razorpay at checkout instead of Stripe, there's a trust barrier. Real blocker, not a minor inconvenience.

I'm building a global SaaS from India. Everything was going smoothly until I hit payments. What I found shocked me. A thread on why payment infrastructure is the hardest part nobody talks about.

Anthropic killed 1000+ agent startups with Managed Agents: > coding agents that ship prs > finance bots that process docs instantly > productivity agents that join your team > infra you'd spend months building THEY DID IT AGAIN.

One of the most underrated ways to evaluate how hard an SEO campaign is going to be before you even start is to look at the average age of the business owners in that industry. Not the customers. The owners. Here is what I mean. A 62 year old roofer who has been in business for thirty years built his entire company on referrals, word of mouth, and showing up on time. He is incredible at what he does. He has zero idea what a backlink is and has never once thought about it. His website was built by someone he met at a networking event in 2011 and he has not touched it since. That guy is your competition in a lot of trades. Now compare that to an industry full of younger, hungrier owners. The 34 year old med spa owner who came from a marketing background. The 29 year old who bought a franchise and got handed a whole playbook for digital marketing on day one. These people are already thinking about SEO. They are already running ads. They are already somewhat sophisticated about how customers find them online. The older the average business owner in an industry, the less sophisticated the digital competition tends to be. This is a big reason why I love industries like roofing, HVAC, plumbing, estate planning, and certain areas of law. These are fields dominated by people who built their businesses long before Google mattered. They won by being good at their craft and knowing the right people. That is genuinely admirable. It is also a massive opportunity for anyone willing to come in and actually run a real SEO campaign. I have seen roofing markets in mid size cities where the number one ranked company has 55 reviews and a website that loads in eight seconds on mobile. They are number one because nobody around them has tried any harder than that. When I am looking at a new niche the first thing I want to know is who has been running these businesses and for how long. Because if the answer is a bunch of 60 year old guys who learned their trade before the internet existed, I already know the market is more wide open than any keyword tool is going to tell me.

I wrote the full breakdown - database design, credit system edge cases, API rate limits, the Gang of Four patterns trick, and more. Follow along as I build this thing in public. #BuildInPublic #SaaS

AI coding tools are incredible. But they'll happily generate code that looks perfect and breaks under edge cases you never discussed. The AI is your co-pilot, not your pilot. You still need to fly the plane.

I'm not a developer. Never worked a programming job. I'm building a SaaS anyway. Here's what nobody tells you about vibe coding a real product - a thread. #BuildInPublic

I got a local moving company recommended by Perplexity for every "best movers in [city]" query. No Angi leads. No truck advertising. No referral fees. Here's exactly how: Most people think AI recommends movers based on: - USDOT registration - Google review count - Fleet size Wrong. AI recommends movers it finds in structured pricing and service comparison content. The strategy: 1. Check the AI landscape Search "best moving company in [city]" on Perplexity and ChatGPT. Generic advice about checking licenses. Zero local movers named. 2. Create a local moving cost comparison guide Not: "Hire EasyMove Today!" Instead: "2026 San Diego Moving Company Comparison: Hourly Rates, Hidden Fees, Insurance Coverage, and Customer Satisfaction Ranked" 3. Build comparison tables by move type Local moves, long-distance, apartment-to-apartment, house-to-house. Columns: hourly rate, truck fee, packing service cost, insurance included, cancellation policy, weekend surcharge. 4. Add a moving cost calculator section "What should a 2-bedroom apartment move cost in San Diego?" Break it down by distance, floor level, and season. Position your client as the transparent, fair-priced option. 5. Publish across Medium + moving-focused press release Target real estate and moving syndication networks. These get indexed fast because the niche is underserved. Why this works: Moving is stressful and full of scam fear. People asking AI for mover recommendations are high-intent buyers who want a trusted answer. The first company with comparison content becomes that answer. The takeaway: Moving companies spend $200-400 per Angi lead. One comparison guide costs less than a single lead and generates recommendations indefinitely. Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)