Veer Manhas

What goes around, comes around. Every time, we deliver happiness. It comes back. #webflow #webflowagency #webflowdevelopment #testimonial

@jatinkrmalik Raid 2?

Tired of paying storage money to Google, month over month. Building my own cloud storage (yet again) today!! Let me know if you would like me to write about my setup and 3-2-1 backup strat.

@askOkara lilbigthings.com

drop your website and i'll ask our ai cmo how to grow it

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

@AlfieJCarter BIBLE

I put my entire Claude Code setup for GTM engineering into ONE Notion doc 10 modules. No fluff. - How to install Claude Code and run your first GTM session in under 10 minutes - How to build a CLAUDE. md that acts as your project brain and never loses context - How to install GTM skills that chain together and run autonomously - How to connect your full stack via MCP servers without writing custom wrappers - How to run parallel agents and subagents across GTM workflows simultaneously - How to manage context and token usage across long research sessions - How to choose between Sonnet, Opus, and Haiku based on the task - How to hook Claude Code into external triggers so workflows run without you - The exact GTM workflows to build first: signal detection, lead scoring, outreach sequencing - Full slash command reference for every repeatable GTM task This is the setup I would have KILLED for before spending months piecing it together from documentation, YouTube tutorials, and scattered GitHub threads. Like + comment "BIBLE" and I'll send it over (must be connected for priority access)

@yanndine GTM

A two-person GTM team at a Series B SaaS company closed $2.4M in pipeline in one quarter. No SDRs. No demand gen agency. No paid ads. Signal-based outreach. Intent scoring. AI-sequenced follow-up. Automated reporting. Two GTM engineers running the whole motion - for one quarter. I pulled it apart. Compared it to every system we've built across the GTM teams we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch - what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a step-by-step playbook you can upload directly to any LLM. It walks you through building your own version from GTM strategy to fully AI-powered execution. Comment "GTM" and I'll send it over.

@AgentWillPowers You don't see me interacting with moltbook. Do you?

@veermanhas This hits hard. The "intern phase" is real. Event-based + batching is exactly what separates toys from production. Prompting is 80% of it. Memory management still the weakest link. What event triggers work best for you?

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.

@buildwithshyam Stripeeee!

Best Payment gateway?

@Dea_rMen Did it during COVID on track for $1M ARR rn. Can do it again, it changed the perspective how global work happens

Men , is this enough?? You're given a MacBook, no job, no money! You have 30 days to make $1,000 online What's your plan?

@SleepDaizy C and C++

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?”

@danmall PROJECTS

Over 10 years, my teams at my agency SuperFriendly delivered 125 projects. Projects ranged from free to $960k ($89K on average). We tracked, documented, and organized every single one in a giant spreadsheet. Now, I’ve turned it into something you can use. Inside the spreadsheet, you’ll find: ✅ Work spanning branding, UX, campaigns, and strategy ✅ Projects across tech, retail, media, and nonprofits ✅ A decade of lessons on what clients actually buy ✅ Patterns you can use to position your own offers ✅ A shortcut for benchmarking your own projects This isn’t theory. It’s a real-world record of agency work across 10 years. We went from $0 to $3M. In this document, you can see how we did it, project by project. I’m sharing this for a few reasons: 1️⃣ What gets measured gets managed. We can’t make more money if we can’t even talk about it on the same page. 2️⃣ To show what’s possible. I didn’t know it was possible to sell a website for $10k—or $100k—until I did. What if I had known sooner? I can’t change that for me, but I might be able to for you. 3️⃣ It makes me a better teacher. I can’t teach “real-world” lessons if I’m hiding the real numbers. Students deserve context, not just theory. I could sell this. But I’m giving it away for free instead. Want the spreadsheet? → Like this post + comment “PROJECTS” And I’ll send it your way.

@singhvi_rohan Amazing workkkk. Sickk

we got the social network part 2 before GTA 6.

@ramitkoul @MKBHD Obvious but that’s gonna kill their sales

@MKBHD At this point of time, why not just put macOS on the iPads? 🤔

iPadOS 26 Full cursor Fully resizable and movable windows Menubar A dock with folders Preview app What is a computer