Should I Build It Should I Build It
21 Aug 2025
Fintech Investing

app which hosts economists who gives financial suggestions and if ...

...they are accurate they get points, This app also. tracks different etfs and markets

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Minimal Signal

There’s barely any market activity - either because the problem is very niche or not important enough. You’ll need to prove real demand exists before investing significant time.

Should You Build It?

Not yet, validate more.

Your are here

Your idea falls into the 'Minimal Signal' category, meaning there isn't much market validation yet. This isn't necessarily bad, but it indicates that you need to aggressively validate the demand for your app before investing heavily in development. Your concept involves hosting economists who provide financial suggestions, rewarding them for accuracy, and tracking ETFs/markets. With only two similar products identified and low engagement (an average of 1 comment per product), it's crucial to determine if there's genuine interest in this type of platform. The lack of significant 'use' or 'buy' signals underscores the need for thorough market research before proceeding further. Don't feel discouraged; think of this as an opportunity to define a new area in the market.

Recommendations

  1. Begin by identifying the specific target audience for your app. Are you targeting retail investors, financial advisors, or a combination of both? Understanding your ideal user is the first step to validate your product. It's better to understand if the target market cares about having a tool that can predict the market.
  2. Engage with potential users in online communities (Reddit, Twitter, Facebook groups focused on finance) and gauge their interest in your idea. Present your concept and actively solicit feedback. Frame your questions to understand their pain points and how your app could address them. Don't focus on building, just understanding if the idea is appealing.
  3. Offer to manually curate financial suggestions from economists for a small group of potential users (2-3) for a limited time. Track the performance of those suggestions and gather feedback on their usefulness. This will serve as a micro-validation of your core value proposition. Treat the small test audience as the first group of testers for your idea.
  4. Create a short, compelling explainer video showcasing the app's features and benefits. Focus on how it can help users make better investment decisions. Promote the video on relevant social media channels and track the number of views and engagement. If this gets traction, then you'll know you are on the right track.
  5. Consider creating a landing page where interested users can sign up for a waiting list by paying a small, refundable deposit. This will gauge the level of commitment and provide initial funding for development. Also, treat this landing page and small deposit as a 'buy signal' to determine market fit.
  6. Based on the feedback and engagement you receive, iterate on your idea and refine your value proposition. Be prepared to pivot if necessary. In the idea category it's extremely important to stay agile. This is crucial. Don't fall in love with your original idea; adapt to the market's needs.

Questions

  1. What specific problem does your app solve for users that existing financial information platforms don't address effectively?
  2. How will you ensure the accuracy and reliability of the financial suggestions provided by the economists on your platform, and what measures will you implement to mitigate the risk of inaccurate or misleading advice?
  3. Given the 'Minimal Signal' category, what are your key assumptions about user behavior and market dynamics that need to be validated early on, and how will you test those assumptions efficiently and cost-effectively?

Your are here

Your idea falls into the 'Minimal Signal' category, meaning there isn't much market validation yet. This isn't necessarily bad, but it indicates that you need to aggressively validate the demand for your app before investing heavily in development. Your concept involves hosting economists who provide financial suggestions, rewarding them for accuracy, and tracking ETFs/markets. With only two similar products identified and low engagement (an average of 1 comment per product), it's crucial to determine if there's genuine interest in this type of platform. The lack of significant 'use' or 'buy' signals underscores the need for thorough market research before proceeding further. Don't feel discouraged; think of this as an opportunity to define a new area in the market.

Recommendations

  1. Begin by identifying the specific target audience for your app. Are you targeting retail investors, financial advisors, or a combination of both? Understanding your ideal user is the first step to validate your product. It's better to understand if the target market cares about having a tool that can predict the market.
  2. Engage with potential users in online communities (Reddit, Twitter, Facebook groups focused on finance) and gauge their interest in your idea. Present your concept and actively solicit feedback. Frame your questions to understand their pain points and how your app could address them. Don't focus on building, just understanding if the idea is appealing.
  3. Offer to manually curate financial suggestions from economists for a small group of potential users (2-3) for a limited time. Track the performance of those suggestions and gather feedback on their usefulness. This will serve as a micro-validation of your core value proposition. Treat the small test audience as the first group of testers for your idea.
  4. Create a short, compelling explainer video showcasing the app's features and benefits. Focus on how it can help users make better investment decisions. Promote the video on relevant social media channels and track the number of views and engagement. If this gets traction, then you'll know you are on the right track.
  5. Consider creating a landing page where interested users can sign up for a waiting list by paying a small, refundable deposit. This will gauge the level of commitment and provide initial funding for development. Also, treat this landing page and small deposit as a 'buy signal' to determine market fit.
  6. Based on the feedback and engagement you receive, iterate on your idea and refine your value proposition. Be prepared to pivot if necessary. In the idea category it's extremely important to stay agile. This is crucial. Don't fall in love with your original idea; adapt to the market's needs.

Questions

  1. What specific problem does your app solve for users that existing financial information platforms don't address effectively?
  2. How will you ensure the accuracy and reliability of the financial suggestions provided by the economists on your platform, and what measures will you implement to mitigate the risk of inaccurate or misleading advice?
  3. Given the 'Minimal Signal' category, what are your key assumptions about user behavior and market dynamics that need to be validated early on, and how will you test those assumptions efficiently and cost-effectively?

  • Confidence: Low
    • Number of similar products: 2
  • Engagement: Low
    • Average number of comments: 1
  • Net use signal: 0.0%
    • Positive use signal: 0.0%
    • Negative use signal: 0.0%
  • Net buy signal: 0.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 0.0%

This chart summarizes all the similar products we found for your idea in a single plot.

The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments. The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.

The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category. The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.

The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.

Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.

Similar products

Relevance

I made an app that ranks the most profitable traders on the internet

18 Oct 2023 Fintech

TLDR:I built a Social-Finance app after paying lots of money for discord signals from traders who don't even make any money.So I decided to rank top-performing traders on a leaderboard so I could tell who was worthy of learning from/copying.Figured people here may find it interesting (or not, up to you) but felt it was worth sharing.Here's the link, use it, would love to know if it's helpful: https://visibull.tradeLong post:Last year I got sucked into the world of trading, but I wasn't having much success with it. To put it bluntly, I sucked... and lost a LOT of money. So to try and learn the ropes and recover some of my losses, I joined many paid discord groups.These groups promoted investment advice and trading signals from "successful traders", but I quickly realized that many of these traders were not actually successful. But there was no way to know this before joining their paid group.So that's why I created Visibull a membership platform where you can discover top-performing traders and verify their performance before joining their paid group.Basically it's an app that lets you follow and copy the most profitable retail traders. Traders can paywall their content, offering subscribers exclusive access to a wide range of benefits, such as:- real-time trade alerts that you can one-click copy - viewing of a trader's entire portfolio and - a social experience similar to TwitterBut the heart of the platform is the Leaderboard, which is the trust signal that sets it apart. This unique feature ranks traders based on their performance in the financial markets using real account data via integrations with major financial companies such as Plaid and Coinbase. It empowers you to confidently subscribe to traders with proven track records, enhancing your trading experience and knowledge.It helped me so much that I shared it with others... it got out of hand kind of quick.Feel free to use it, it's built with love. Or not idc.

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