Should I Build It Should I Build It
20 Jun 2025
Games

pc builder 3d and more more more moreeee moreeeeasf ljadskjfhajksd

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Pivot

Current solutions aren’t working well, but there might be a way to adjust your approach. This isn’t about starting over, but rather making thoughtful changes based on what you’re learning.

Should You Build It?

No. Think & pivot.

Your are here

The idea of a PC builder, especially one incorporating 3D elements, falls into a space where existing solutions have faced criticism. While there's an apparent interest in tools aiding PC building (as evidenced by the high average comment count of 83 from similar products), there are concerns about the utility and execution of current AI-driven approaches. The presence of even just one similar product with that engagement signals a potential market, but also highlights the need to differentiate and address common pain points. Given the criticisms of existing AI PC builders, such as outdated information, lack of personalization, and slow performance, it's crucial to thoughtfully pivot. You need to identify and address these shortcomings to offer a genuinely valuable solution. The current consensus is: think and pivot.

Recommendations

  1. Given the criticisms leveled at similar PC builder tools, especially regarding data accuracy, your immediate focus should be on real-time price updates and comprehensive compatibility checks. Scrape popular retailer websites for real time information. Users have voiced concerns about outdated component recommendations, so ensuring your data is fresh is paramount.
  2. Address the lack of personalization highlighted in the feedback for PC Builder AI. Implement a system that allows users to input their specific needs (e.g., gaming, video editing, workstation) and budget, tailoring the component recommendations accordingly. This will avoid the pitfall of generic suggestions.
  3. Instead of relying solely on AI, consider incorporating a database with filters and sorting options similar to Pcpartpicker but with 3D visualization. This gives users more control while still offering a visually engaging experience. The AI should augment, not replace, user agency.
  4. Prioritize speed and error handling. Users have complained about slow performance and poor error handling in existing AI PC builders. Optimize your algorithms and implement robust error checking to provide a smooth and reliable user experience. Consider caching frequently accessed data to improve speed.
  5. Before developing the 3D aspect extensively, validate the core functionality of accurate component selection and compatibility checking. Get user feedback on this core functionality before investing heavily in the 3D visualization. 3D is nice to have, but accurate part selection is table stakes.
  6. Test your prototype with a small group of potential users who represent your target market (e.g., gamers, content creators). Gather feedback on the usability, accuracy, and overall value of the tool. Pay close attention to areas where users struggle or express frustration.
  7. Based on user feedback, identify the most critical areas for improvement and iterate on your design. Focus on addressing the specific concerns raised by your target audience, such as better compatibility checks or more granular customization options.
  8. Set a clear deadline (e.g., 4 weeks) to evaluate the success of your pivot. Track key metrics such as user engagement, accuracy of recommendations, and overall satisfaction. If you don't see significant improvement within this timeframe, consider further adjustments or exploring alternative approaches.

Questions

  1. How can you leverage the 3D aspect to provide unique insights or functionalities that aren't available in existing 2D PC builder tools, going beyond mere aesthetics?
  2. What is your strategy for ensuring the accuracy and timeliness of your component database, especially given the rapid changes in pricing and availability in the PC hardware market?
  3. How will you address the challenge of catering to both novice users who need guidance and experienced users who want granular control over their PC builds?

Your are here

The idea of a PC builder, especially one incorporating 3D elements, falls into a space where existing solutions have faced criticism. While there's an apparent interest in tools aiding PC building (as evidenced by the high average comment count of 83 from similar products), there are concerns about the utility and execution of current AI-driven approaches. The presence of even just one similar product with that engagement signals a potential market, but also highlights the need to differentiate and address common pain points. Given the criticisms of existing AI PC builders, such as outdated information, lack of personalization, and slow performance, it's crucial to thoughtfully pivot. You need to identify and address these shortcomings to offer a genuinely valuable solution. The current consensus is: think and pivot.

Recommendations

  1. Given the criticisms leveled at similar PC builder tools, especially regarding data accuracy, your immediate focus should be on real-time price updates and comprehensive compatibility checks. Scrape popular retailer websites for real time information. Users have voiced concerns about outdated component recommendations, so ensuring your data is fresh is paramount.
  2. Address the lack of personalization highlighted in the feedback for PC Builder AI. Implement a system that allows users to input their specific needs (e.g., gaming, video editing, workstation) and budget, tailoring the component recommendations accordingly. This will avoid the pitfall of generic suggestions.
  3. Instead of relying solely on AI, consider incorporating a database with filters and sorting options similar to Pcpartpicker but with 3D visualization. This gives users more control while still offering a visually engaging experience. The AI should augment, not replace, user agency.
  4. Prioritize speed and error handling. Users have complained about slow performance and poor error handling in existing AI PC builders. Optimize your algorithms and implement robust error checking to provide a smooth and reliable user experience. Consider caching frequently accessed data to improve speed.
  5. Before developing the 3D aspect extensively, validate the core functionality of accurate component selection and compatibility checking. Get user feedback on this core functionality before investing heavily in the 3D visualization. 3D is nice to have, but accurate part selection is table stakes.
  6. Test your prototype with a small group of potential users who represent your target market (e.g., gamers, content creators). Gather feedback on the usability, accuracy, and overall value of the tool. Pay close attention to areas where users struggle or express frustration.
  7. Based on user feedback, identify the most critical areas for improvement and iterate on your design. Focus on addressing the specific concerns raised by your target audience, such as better compatibility checks or more granular customization options.
  8. Set a clear deadline (e.g., 4 weeks) to evaluate the success of your pivot. Track key metrics such as user engagement, accuracy of recommendations, and overall satisfaction. If you don't see significant improvement within this timeframe, consider further adjustments or exploring alternative approaches.

Questions

  1. How can you leverage the 3D aspect to provide unique insights or functionalities that aren't available in existing 2D PC builder tools, going beyond mere aesthetics?
  2. What is your strategy for ensuring the accuracy and timeliness of your component database, especially given the rapid changes in pricing and availability in the PC hardware market?
  3. How will you address the challenge of catering to both novice users who need guidance and experienced users who want granular control over their PC builds?

  • Confidence: Low
    • Number of similar products: 1
  • Engagement: High
    • Average number of comments: 83
  • Net use signal: -14.5%
    • Positive use signal: 8.4%
    • Negative use signal: 22.9%
  • Net buy signal: -19.3%
    • Positive buy signal: 0.0%
    • Negative buy signal: 19.3%

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

PC Builder AI

09 Aug 2023 Artificial Intelligence

Hey HN!You know when you wanna build a new PC, and need to watch a bunch of videos to find the best parts, and then tweak your shopping cart to fit your budget? Well, this new app can help you.It recommends the best hardware for your usage (gaming or work), and considers your budget. It's really helpful, even when you got expertise on hardware. Check it out, and feel free to suggest stuff! Hope you like it!https://www.pcbuilderai.com/

Users express mixed feelings about an AI tool for PC building. Many find it unnecessary, preferring a database with real-time prices or existing services like Pcpartpicker. Concerns include outdated pricing data, lack of personalization, and poor recommendations for specific needs like workstations. Some appreciate the concept but note issues with execution speed, error handling, and the need for more user preference options. Positive feedback highlights the tool's potential and usefulness with further refinement. Suggestions for improvement include better progress reporting, caching, and compatibility checks. There's also interest in additional features like CheerleaderAI for daily motivation.

Users criticized the AI's unclear advantage and necessity, slow performance, and lack of trust. They noted stale and incorrect data, especially in pricing, and a lack of personalization, customization, and error handling. The tool was deemed too simple, with outdated component recommendations, compatibility issues, and poor user experience. Some saw it as a moneygrab using AI as a buzzword, and others requested better progress reporting and instructions.

Avatar
47
83
-14.5%
-19.3%
83
47
8.4%
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