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Inspired by a conversation on:
Friends That Invest
This Company Jumped Up 200%: Is It Too Late to Buy Nvidia Shares
Host: Sim and Sonya
Timestamp: 10:00 - 10:40
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
Direct Quote
"I think sometimes when people overhype stock or companies, it brings out the criticisms and it brings to light what they're not doing well."
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Sign InHow should I validate this saas idea before building it?
2:34 PM
Great question! For a saas idea like this, I'd recommend starting with these validation steps:
- Customer interviews: Talk to Technical to understand their pain points
- MVP approach: Build a simple landing page to test demand
- Competitor analysis: Research existing solutions and identify gaps
Would you like me to help you create a specific validation plan for your medium difficulty idea?
2:35 PM
Yes, and what about the technical implementation? Should I build this myself or hire a team?
2:36 PM
Based on your idea's complexity and 1-3 months, here's my recommendation:
Technical Strategy:
- Start with no-code tools for rapid prototyping
- Consider your technical background and available < $1,000
- Plan for scalability from day one
I can help you create a detailed technical roadmap and resource allocation plan...
2:37 PM
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Sign InSimilar Ideas
AI Chip Rental Platform for Startups
The podcast discusses the increasing demand for high-performance AI chips, particularly Nvidia's H100 chip, priced at $30,000. This presents a business opportunity to create a rental platform targeting startups and small businesses that require these chips but cannot afford to purchase them outright. The platform could facilitate short-term rentals of AI chips, allowing companies to access cutting-edge technology without the significant upfront investment. The target audience includes AI startups, research institutions, and companies exploring AI applications that need powerful computing resources for limited periods. The platform could utilize a subscription model, where users can pay for access to chips on a monthly or usage basis, ensuring they stay at the forefront of AI developments without financial strain.