Should I Build It Should I Build It
25 Jul 2025
Artificial Intelligence Fintech

Chasing accounts receivables for mid market companies through AI ...

...personalisation

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Strong Contender

The market has shown clear demand for this type of solution. Your challenge now is to create a version that stands out while delivering what people already want.

Should You Build It?

Build but think about differentiation.

Your are here

Your idea of using AI personalization to chase accounts receivables for mid-market companies falls into the 'Strong Contender' category, meaning there's demonstrated market demand for such solutions. With 4 similar products identified, there is moderate competition, so differentiation will be key. The average engagement (14 comments) is relatively high, suggesting people are actively interested in these types of products. While there is not enough information to extract the use and buy signals, the fact that similar products exist and are being actively discussed validates the overall market. You're entering a space where businesses are clearly looking for ways to streamline their accounts receivable processes, so start thinking about how you can make your AI personalization stand out from competitors.

Recommendations

  1. Begin by deeply studying what the most successful competitors in the AI-driven accounts receivable space are doing well. Pay close attention to their features, pricing, and customer acquisition strategies. For example, Delfyn received overwhelmingly positive feedback for AI-driven insights. This will give you a solid baseline understanding of market expectations.
  2. Identify 2-3 specific areas where you can outperform existing solutions. This could be in the AI personalization itself, user experience, integration capabilities, or customer support. Competitor analysis reveals some users want more human elements than Stripe invoicing offers.
  3. Prioritize building the core features that mid-market companies value most in an accounts receivable solution. Focus on automating key processes, providing actionable insights, and improving cash flow. Refrain from feature creep early on.
  4. Charge for your product from the outset, even if it's a minimal fee during the early stages. This helps validate that there is real market demand and that customers are willing to pay for your solution. Don't offer a fully free version initially.
  5. Focus intensely on making your first 50 customers exceptionally happy. Solicit their feedback, address their concerns promptly, and use their experiences to refine your product and messaging. These early adopters will be your best advocates.
  6. Given that one piece of criticism for similar products revolved around the absence of video tutorials, create a compelling video tutorial demonstrating the product's benefits and usage early on. This can greatly enhance user understanding and adoption.
  7. Explore integrations with popular accounting software like QuickBooks and Xero. This was a specific feature request for one of your competitors and would likely increase the appeal of your product. Make sure you can easily integrate with other common software.

Questions

  1. What specific AI personalization techniques will you use to tailor the accounts receivable chasing process for each mid-market company, and how will you ensure that these techniques are both effective and compliant with relevant regulations?
  2. Considering that some users desire a more 'human element,' how will you balance the efficiency of AI automation with the need for personalized interaction and customer service in your accounts receivable solution?
  3. Given the moderately competitive landscape, what is your plan to acquire your first 50 paying customers and to build a strong brand in this industry?

Your are here

Your idea of using AI personalization to chase accounts receivables for mid-market companies falls into the 'Strong Contender' category, meaning there's demonstrated market demand for such solutions. With 4 similar products identified, there is moderate competition, so differentiation will be key. The average engagement (14 comments) is relatively high, suggesting people are actively interested in these types of products. While there is not enough information to extract the use and buy signals, the fact that similar products exist and are being actively discussed validates the overall market. You're entering a space where businesses are clearly looking for ways to streamline their accounts receivable processes, so start thinking about how you can make your AI personalization stand out from competitors.

Recommendations

  1. Begin by deeply studying what the most successful competitors in the AI-driven accounts receivable space are doing well. Pay close attention to their features, pricing, and customer acquisition strategies. For example, Delfyn received overwhelmingly positive feedback for AI-driven insights. This will give you a solid baseline understanding of market expectations.
  2. Identify 2-3 specific areas where you can outperform existing solutions. This could be in the AI personalization itself, user experience, integration capabilities, or customer support. Competitor analysis reveals some users want more human elements than Stripe invoicing offers.
  3. Prioritize building the core features that mid-market companies value most in an accounts receivable solution. Focus on automating key processes, providing actionable insights, and improving cash flow. Refrain from feature creep early on.
  4. Charge for your product from the outset, even if it's a minimal fee during the early stages. This helps validate that there is real market demand and that customers are willing to pay for your solution. Don't offer a fully free version initially.
  5. Focus intensely on making your first 50 customers exceptionally happy. Solicit their feedback, address their concerns promptly, and use their experiences to refine your product and messaging. These early adopters will be your best advocates.
  6. Given that one piece of criticism for similar products revolved around the absence of video tutorials, create a compelling video tutorial demonstrating the product's benefits and usage early on. This can greatly enhance user understanding and adoption.
  7. Explore integrations with popular accounting software like QuickBooks and Xero. This was a specific feature request for one of your competitors and would likely increase the appeal of your product. Make sure you can easily integrate with other common software.

Questions

  1. What specific AI personalization techniques will you use to tailor the accounts receivable chasing process for each mid-market company, and how will you ensure that these techniques are both effective and compliant with relevant regulations?
  2. Considering that some users desire a more 'human element,' how will you balance the efficiency of AI automation with the need for personalized interaction and customer service in your accounts receivable solution?
  3. Given the moderately competitive landscape, what is your plan to acquire your first 50 paying customers and to build a strong brand in this industry?

  • Confidence: Medium
    • Number of similar products: 4
  • Engagement: High
    • Average number of comments: 14
  • Net use signal: 15.4%
    • Positive use signal: 15.4%
    • Negative use signal: 0.0%
  • Net buy signal: 1.9%
    • Positive buy signal: 1.9%
    • 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

Marcus - your AI Billing Agent - Automate invoicing and chasing payments

03 Oct 2024 Artificial Intelligence Business Tech

Marcus = your entire Accounts Receivable team. An AI agent that handles sending invoices and chasing clients to pay. Marcus learns and adapts to clients to create personalized reminders to get you paid faster and saving you hours.

Marcus automates invoicing, follow-ups, and payment collection, which saves users time and improves cash flow. Users are excited about its potential, especially the customizable follow-ups and easy-to-use UI. Some are looking for integrations with Quickbooks/Xero. The automation leads to faster and more seamless transactions, with claims of speeding up customer collections by 4x. One user hopes for a more human element compared to Stripe invoicing, while others express general congratulations and support for the launch.

The sole criticism is that Stripe lacks a human element, suggesting a desire for more personalized interaction or customer service.

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Relevance

Delfyn - Work smarter, get paid faster with AI-powered receivables

05 Feb 2025 Fintech Accounting Payments

Delfyn helps B2B companies get paid faster and close cash flow gaps. With AI insights, it automates receivables, eliminates errors, and reduces manual tasks. No integration needed—Unique works alongside your software to optimize payments and boost cash flow

The Product Hunt launch received overwhelmingly positive feedback, with many congratulating the team and expressing excitement about the product's potential to streamline B2B payments, automate accounts receivable, and boost cash flow. Users highlighted the platform's AI-driven insights, multi-bank reconciliation, and ease of use. Several users were eager to try the product, and some inquired about specific features like Indian auto payments, AI's role in payment incentives, and use in Turkey. A video tutorial explaining the product benefits was requested.

The primary criticism revolves around the absence of a video tutorial to effectively demonstrate the product's benefits and usage. This lack of visual guidance may hinder user understanding and adoption.

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