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Is it wrong to make a team before starting the business or generating any revenue? A team who is also be friends in startup

we are starting startup about innovative farm technology. we have built working prototype with our own money.We are facing issue in funding to scale our startup to larger scale. we don't know how to gather any funding or loan on pre revenue business

we are starting startup about innovative farm technology. we have built working prototype with our own money .We are facing issue in funding to scale our startup to larger scale. we don't know how to gather any funding or loan on pre revenue busines

actually yesterday I am sitting on a local auto and get to know that the ridind platform cut their 30 to 40 % commision ,so if we provide a platform for only autos with zero comission model how is it. revenue model - advisement on every auto,for det

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

WhatsApp had a subscription based model till 2016,yearly 1$,that was it's major source of revenue,now it's WhatsApp Business API (and selling data🙂💀).

📊 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

How much money you think you need to save as reserve fund before starting a startup to survive pre revenue days? Or you think starting as a side hustle with job will work? ( Not suitable for me) Reserve money = food + rent (survival)

In a winning pitching deck what are the most important things (like business model, gtm strategy, revenue model) must be present in the slide. And what are the terms and things also must be cleared before going to give a pitch...

Smart City Analytics Platform Idea: Create a platform analyzing government data for urban planning. Features: Data integration, predictive analytics, urban planning tools, real-time monitoring, citizen engagement, performance benchmarking. Revenue Mo