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The Reality of Product-Market Fit "Most startups don’t fail because of poor execution. They fail because they build something nobody wants. 🚫" Here’s the truth: if you’re not solving a problem people care about, no amount of sales, marketing, or

Product-Market Fit: When Your Startup Stops Chasing and Starts Leading Customers pull, you don’t push – Demand grows organically when PMF is real. Your users become your sales force – Advocacy replaces advertising. Retention isn’t just staying, it

How to know if you reached Product-Market Fit? 1. Your customers will pull, you don't push 2. Your users become your sales team, will share, recommend and defend your product 3. Users stay and grow their usage, retention becomes easy 4. If 40%+

An Indian company is posting stuff like this seriously, what can we even say to others when the real problem is sitting right in our own house? And no, this isn't some typing mistake the words are crystal clear, you can't mess up a whole sentence li

Welcome to Day 4 of my 30-day Business & Entrepreneurship series! Today’s edition breaks down: What Product-Market Fit really means — and why it’s the “perfect match” for your product How to measure PMF with real metrics (not just gut feeling!)

Is it kala-jaadu… or just ruthless clarity? How are some founders building profitable companies in silence — without flashy LinkedIn posts, media praise, or billion-dollar burns — while some VC-funded giants are still chasing PMF after raising hundr

hii everyone my introduction already completed with you in my previous chats so let I start my new business idea that make me feel confident that this idea will be best for me to do because I know what market need so start. .... you all know ab

Guys, actually, I was just scrolling through the news, and I stumbled upon this mind-blowing thing: 1,600 tons of white gold. At first, I was like, what is it, why is it important, and all that. After diving deep into it, I'm just blown away. This s

Sequoia’s Product-Market Fit (PMF) Framework PMF is not a single “aha!” moment. It’s a spectrum. Sequoia studied thousands of early-stage startups and realized most founders fall into one of 3 PMF archetypes. The big questions: - Where are YOU on t

One of our recent achievements showcases how optimizing code and parallelizing processes can drastically improve machine learning model training times. The Challenge: Long Training Times Our model training process was initially taking 8 hours—slow