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Guess the startups Blue logo🤐, Burning investors cash for the past 3 years , advertised as "India's largest " , No revenue models , has an office , BLR based , founders from tier 1-2 college

"Hey everyone, I'm new to the medical startup scene and have a burning question: does an idea hold any value without execution? How can we differentiate between a good and bad idea without actually putting it into practice? Looking forward to your i

Why is an MVP so crucial for startups? It helps validate your idea without burning through resources. Here's why every startup should focus on building an MVP first. #StartupTips#MVP

Mark Zuckerberg coded Facebook. This woman monetized it. When Sheryl Sandberg joined, Facebook had almost no revenue. But when she left: $118 Billion. 2008: Facebook, the coolest kid on the internet block. Problem? They're burning cash faster th

📊 Why Revenue Modeling is Critical for Your Business – Backed by Data 📊 Revenue modeling isn’t just a forecasting exercise – it’s a roadmap for growth, stability, and innovation. Here's why it matters, with data to back it up: 1️⃣ Predicts Future

Question for you ~ How do the founders and co-founders of medial app earn profits from their platforms? I'm curious about the revenue models behind medial app and how they monetize their services. ?

Who is building an AstroTalk but completely driven AI astrologers.. Astrotalk's last year revenue was Rs 651 crore btw. Huge Opportunity without any operational headache. Just Ship it friends.

Mastering Cash Flow: Simple Strategies for Indian Startups Cash flow can either make or break your startup, and managing it well is critical. Here are some practical tips to help your startup thrive financially: 1.Separate Business and Personal Fina

Hey everyone, I'm an engineering student geeking out over Generative AI. Loving LangChain, Hugging Face models, Crew.ai's chatbots, fine-tuning, and RAG. Plus, machine learning and data science are pretty cool too! Anyone else into this stuff? Looki

I really want to work on AI projects but I'm inexperienced with company work, I used to work as a research intern at a lab and was a data science intern at another place. I really want to get into working on hf models, langchain, langgraph, fine-tuni