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Lead generation isn't about casting the widest net. It’s about the right bait in the right waters. When everyone else is chasing volume, focus on quality. Get into the minds of your ideal customers. Understand their pain points deeply. Use that know

A website for your startup? , It’s your 24/7 digital storefront—boosts credibility, hooks customers, and skyrockets sales. Affordable marketing, global reach, and instant trust—all in one sleek package. Ready to shine?

"I have a question for all of you working on something" How do you find your ideal customers for your #project or #SaaS on any platform particularly X, do you pay for it or for free ? How do you do that ? Or you just post about it

CHALLENGE for you! So assume that you made a product (online or physical) which is really great and it will help your customers a lot. That product is tried and tested and your initial customers loved it. Now your task is to sell it on a larger sca

Is the customer always right ⁉️ " Customers are rarely Right " - Mark Cuban This is because it's not the customer who comes up with idea or innovation it's entrepreneur who comes up with them. If thought customers are right then there should not

𝗔𝘃𝗼𝗶𝗱 𝗦𝘁𝗮𝗿𝘁𝘂𝗽 𝗠𝗶𝘀𝘁𝗮𝗸𝗲𝘀: 𝗟𝗲𝗮𝗿𝗻 𝗳𝗿𝗼𝗺 𝗦𝘁𝗲𝘃𝗲 𝗕𝗹𝗮𝗻𝗸 ! Steve Blank, who helped create the "Lean Startup" idea, says that new companies are different from big ones. Big companies know what they're doing, but new compa

🚀 Demystifying Marketing Part 6: Targeting Your Audience - Part 2 Previously, we explored the first three key strategies for targeting your audience: Research and Analyze, Segmentation, and Tailored Messaging. Today, we’ll dive into the remaining

So if you've built a product, then here's how you could raise some VC money for it. 1.The first is show a working prototype. Show the VCs what it is that your product can do, what are the features that you've built. 2.The second is show some cust

is it common to have a fear of failure? like fear ke start-up nahi chalega, thoda chalke fir nahi chalega...you are trying you are getting new customers still you are having doubt or fear in your mind that it Will collapse

Ideal GPU for Applied ML Those of y'all who have worked with GPU's for LLMs (either inhouse or servers), based on your experience what is the ideal specs that is needed? Open to suggestions as well, thank you 🥹🙇🏻‍♂️