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Inspired by a conversation on:
The Short Term Show
From Data to Deals: How to Pick Winning STR Markets Faster with Jae Seok An
Host: Avery Carl
Timestamp: 00:12:00 - 00:12:39
Found an idea? We can build it for you.
We design and develop SaaS, AI, and mobile products — from concept to launch in weeks.
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"We want to join this interesting AI world that's happening around the world."
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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 high 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 6-12 months, here's my recommendation:
Technical Strategy:
- Start with no-code tools for rapid prototyping
- Consider your technical background and available > $10,000
- 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
Customized Market Analysis Tool for STR Investors
The idea is to create a customized market analysis tool specifically designed for short-term rental (STR) investors. This tool would allow users to draw their desired market areas on a map, enabling granular analysis of specific neighborhoods. By focusing not just on broad averages but on localized segments, investors can better understand the potential of particular markets. This solution would provide heat maps, occupancy rates, and revenue data tailored to the drawn areas. The target audience would be new and existing STR investors who need to make informed decisions on property purchases. Implementation would involve developing a web-based platform with mapping functionalities, leveraging existing data sources, and possibly integrating AI for predictive analytics.