Should I Build It Should I Build It
11 Apr 2025
Artificial Intelligence

Assist uber drivers and restaurant delivery to find best spots for ...

...rides or food orders using ai and data on when areas are busiest

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 to assist Uber drivers and restaurant delivery personnel in finding the best spots for rides or food orders using AI and data on peak area times puts you in the 'Strong Contender' category. This indicates existing market demand for such solutions, as confirmed by our analysis which found 3 similar products. This also means that you have competition, so the key is to stand out while delivering what people want. While a good sign, the high engagement (33 comments on average) on similar products suggests users actively seek and discuss solutions in this space. Focus on what the existing products do well, while carving out your own unique space in the market.

Recommendations

  1. Begin by thoroughly studying successful competitors like Bliq and RestoGPT AI. Understand their strengths, weaknesses, and user feedback. RestoGPT AI had overwhelmingly positive feedback for commission-free model. Pay close attention to user discussion and criticism summaries to identify unmet needs and pain points you can address.
  2. Identify 2-3 key areas where you can significantly improve upon existing solutions. For example, address RestoGPT AI's criticism by focusing on a broader user base beyond restaurants, or improve Bliq by incorporating incentives for open standards. Consider offering unique data insights, superior AI algorithms, or a more user-friendly interface.
  3. Start with a Minimum Viable Product (MVP) that focuses on the core features users value most, such as real-time demand prediction and hotspot identification. Avoid feature bloat and prioritize functionality that directly addresses the needs of drivers and delivery personnel. Think about the feedback the above mentioned AI received and incorporate it from the beginning.
  4. Implement a monetization strategy from day one. This could involve a subscription model, per-use fees, or premium features. This will help validate real demand for your product and provide early revenue to support development.
  5. Prioritize customer satisfaction and focus on making your first 50 customers extremely happy. Gather feedback, iterate on your product, and build a strong community around your solution. These early adopters can become valuable advocates for your product.
  6. Given the focus of RestoGPT AI on restaurant menus and delivery apps, explore potential integration opportunities with platforms like DoorDash to streamline operations. However, also consider the criticisms regarding the product's focus on restaurants and strive for broader applicability.
  7. Based on user inquiries about applicability to various restaurant types and international availability for RestoGPT AI, consider expanding your product's capabilities and geographic reach to cater to diverse markets and restaurant types. This will broaden your target audience and increase your potential user base.

Questions

  1. What specific data sources will your AI use to predict demand, and how will you ensure the accuracy and reliability of this data?
  2. How will you differentiate your product from existing solutions like Bliq and RestoGPT AI, and what unique value proposition will you offer to drivers and delivery personnel?
  3. What are the key challenges you anticipate in acquiring and retaining users in a competitive market, and how will you address these challenges?

Your are here

Your idea to assist Uber drivers and restaurant delivery personnel in finding the best spots for rides or food orders using AI and data on peak area times puts you in the 'Strong Contender' category. This indicates existing market demand for such solutions, as confirmed by our analysis which found 3 similar products. This also means that you have competition, so the key is to stand out while delivering what people want. While a good sign, the high engagement (33 comments on average) on similar products suggests users actively seek and discuss solutions in this space. Focus on what the existing products do well, while carving out your own unique space in the market.

Recommendations

  1. Begin by thoroughly studying successful competitors like Bliq and RestoGPT AI. Understand their strengths, weaknesses, and user feedback. RestoGPT AI had overwhelmingly positive feedback for commission-free model. Pay close attention to user discussion and criticism summaries to identify unmet needs and pain points you can address.
  2. Identify 2-3 key areas where you can significantly improve upon existing solutions. For example, address RestoGPT AI's criticism by focusing on a broader user base beyond restaurants, or improve Bliq by incorporating incentives for open standards. Consider offering unique data insights, superior AI algorithms, or a more user-friendly interface.
  3. Start with a Minimum Viable Product (MVP) that focuses on the core features users value most, such as real-time demand prediction and hotspot identification. Avoid feature bloat and prioritize functionality that directly addresses the needs of drivers and delivery personnel. Think about the feedback the above mentioned AI received and incorporate it from the beginning.
  4. Implement a monetization strategy from day one. This could involve a subscription model, per-use fees, or premium features. This will help validate real demand for your product and provide early revenue to support development.
  5. Prioritize customer satisfaction and focus on making your first 50 customers extremely happy. Gather feedback, iterate on your product, and build a strong community around your solution. These early adopters can become valuable advocates for your product.
  6. Given the focus of RestoGPT AI on restaurant menus and delivery apps, explore potential integration opportunities with platforms like DoorDash to streamline operations. However, also consider the criticisms regarding the product's focus on restaurants and strive for broader applicability.
  7. Based on user inquiries about applicability to various restaurant types and international availability for RestoGPT AI, consider expanding your product's capabilities and geographic reach to cater to diverse markets and restaurant types. This will broaden your target audience and increase your potential user base.

Questions

  1. What specific data sources will your AI use to predict demand, and how will you ensure the accuracy and reliability of this data?
  2. How will you differentiate your product from existing solutions like Bliq and RestoGPT AI, and what unique value proposition will you offer to drivers and delivery personnel?
  3. What are the key challenges you anticipate in acquiring and retaining users in a competitive market, and how will you address these challenges?

  • Confidence: Medium
    • Number of similar products: 3
  • Engagement: High
    • Average number of comments: 33
  • Net use signal: 6.0%
    • Positive use signal: 6.0%
    • Negative use signal: 0.0%
  • Net buy signal: 0.7%
    • Positive buy signal: 0.7%
    • 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

Eater - restaurant menu data

31 Dec 2024 API

API used to query food menu items on food delivery apps for now we just pull uber eats data, but will other apps soon.

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3
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Bliq – A meta-search engine for ride-hailing

18 Aug 2023 SaaS

The problem we address:Platform monopolies in the ride-hailing space have led to users paying more for trips, while receiving a lower quality service. On the flip side, drivers often find themselves at the mercy of a single dominant platform, impacting their earnings and freedom of choice. So… we saw an opportunity to empower users.Technical solution:- built an internal API that interfaces with multiple platform APIs to fetch real-time ride data (for both passenger and driver personas)- built two apps: - for drivers: aggregated incoming offers in a single interface, custom parameters-based automation, surge maps, aggregated statistics (earnings, distance, time) - for passengers: aggregated ride options, pricing, and ETAs in a single interface, deep-linking directly into the ride request within the platform apps Challenges & resistance:- platforms attempted to block our API traffic- we observed unusually rigorous hardware protection in some platform apps, causing a lot of drivers to have to change their older phones even if they didn’t use Bliq- we realized some of their mobile apps tried to detect if our app is installed on their device, potentially flagging drivers. they removed this mechanism afterwards- some drivers reported being cautioned/advised against using Bliq by employees of some of the platformsCurious to know how the community would navigate these challenges while maintaining integrity and user value. We just launched the passenger app this week, so feedback on both apps is very welcome.

Looking for app with multiple ride-sharing integrations.

No incentive for open standard.

Avatar
11
1
1
11
Relevance

RestoGPT AI - AI that turns menus into food delivery apps

12 Jun 2023 Artificial Intelligence Tech Food Delivery

RestoGPT - the first AI-powered online ordering storefront builder for restaurants. Submit a menu - get a commission-free online storefront with built-in payment processing, on-demand delivery driver fleets, menu management, AI order manager, CRM, and more 🍔

The Product Hunt launch of RestoGPT AI has received overwhelmingly positive feedback, with many users congratulating the team and praising the innovative concept. Users highlight its potential to revolutionize restaurant operations, particularly for smaller establishments. Several comments express excitement for its AI-driven online order automation and commission-free model. There are inquiries about its applicability to various restaurant types, international availability, integration with food delivery apps like DoorDash, and menu image generation. Some users have questions about the product's differentiation and driver sourcing. The product is seen as a game-changer for restaurants, offering website solutions, streamlining operations, and helping small businesses compete.

Users criticize the product's focus on restaurants, a challenging target audience. Concerns exist regarding the product's differentiation from existing AI solutions like RestoGPT. The current presentation, specifically black text on a white background, is questioned for restaurants without online menus. The core problem being addressed—bad restaurant websites—is acknowledged, but users express reservations about the product's approach or specific features.

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387
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7.5%
0.9%
106
387
7.5%
0.9%
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