Data analysis using natural language for quants
For B2B2C, back-end for IFAs and enhanced product for end consumers
How is the score calculated?
To determine whether an idea is "Muck" or "Brass," we consider three key factors:
1). Is the search volume increasing? It’s advantageous to be in a growing market.
2). Is there significant competition? While competition can validate an idea, too much of it can make it difficult to stand out.
3). Are enough people searching for the relevant keywords? If search volume is too low, building a business around the idea may be challenging.
Of course, startups aren’t an exact science—very little people were searching for "couch surfing" when Airbnb first launched.
Trending searches
Search Volume
Last 5 years
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Prompt
Copy-paste the following prompt onto Marblism to build this app
Our software streamlines the back-end processes for Independent Financial Advisors (IFAs) by providing intuitive data analysis through natural language processing. By addressing common pain points such as time-consuming data retrieval and complex analytics, we empower IFAs to effortlessly extract actionable insights from large datasets. The automatically generated reports and easy-to-understand visualizations help IFAs communicate effectively with their clients, enabling them to focus on building relationships rather than drowning in data. For end consumers, our enhanced product simplifies the investment decision-making process by translating complex financial jargon into plain language, ensuring they grasp the necessary information to make informed choices. Key features, such as personalized portfolio recommendations and real-time performance tracking, address the anxiety many consumers face regarding their investments. This fosters greater confidence and satisfaction in their financial decisions, creating a more engaged and informed client base for IFAs while driving better business outcomes.