make up simulator. by taking a selfie from yourself. you choose ...

...different make up products virtually and you see how you would look like using those products.

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 for a makeup simulator where users can virtually try on makeup products using a selfie falls into the "Strong Contender" category, meaning there's existing demand for this type of solution. With 3 similar products already out there, and each of these products showing high engagement (avg 19 comments), it shows people are interested in virtual makeup solutions. The discussion around Rad Camera, for example, highlights how these tools can boost confidence and streamline the process of getting ready for virtual meetings, however, one should keep in mind the negative feedback on using constant makeup. Your challenge lies in differentiating your product while meeting the core needs of users.

Recommendations

  1. Begin by deeply analyzing Rad Camera and Doji, the two competitors in the similar product list. What features did their users praise, and where did they voice concerns? Understanding their strengths and weaknesses is crucial for identifying your unique selling proposition.
  2. Focus on 2-3 key areas where you can outperform the competition. Given the comments about Rad Camera, consider the adaptation of makeup to different skin tones and camera lighting as one key area. Another idea is to offer hyper-realistic virtual makeup and avoid looking artificial.
  3. Start with a minimal viable product (MVP) that offers the core features users value most. Focus on a seamless selfie upload process, a selection of popular makeup looks, and realistic virtual application. Don't try to do everything at once.
  4. Implement a freemium model with in-app purchases. Offer a basic set of makeup options for free, and then charge for premium brands, exclusive looks, or advanced features. This will validate real demand.
  5. Prioritize acquiring and retaining your first 50 customers. Gather their feedback through surveys, interviews, and in-app analytics. Use their insights to iterate on your product and ensure it meets their needs.
  6. Explore partnerships with makeup brands to feature their products in your simulator. This could be a mutually beneficial arrangement where you get access to high-quality assets, and they get increased brand exposure.
  7. Address the criticism that was mentioned in the similar product discussions about makeup damaging skin by partnering with dermatologists or skincare experts to offer advice and recommendations within your app. This could include skincare routines or product recommendations.
  8. Leverage user-generated content by allowing users to share their virtual makeup looks on social media. This can help you drive organic traffic and increase brand awareness. Also make it possible to create a community where users can exchange about best looks.

Questions

  1. How will you ensure that your makeup simulator accurately represents different skin tones and textures, and that the virtual makeup looks realistic under various lighting conditions?
  2. Given the potential for partnerships with makeup brands, what innovative ways can you integrate their products into your simulator to create a seamless and engaging user experience?
  3. How will you address the concern about the constant makeup use potentially being damaging to the skin in your marketing materials or as part of the simulator's features?

Your are here

Your idea for a makeup simulator where users can virtually try on makeup products using a selfie falls into the "Strong Contender" category, meaning there's existing demand for this type of solution. With 3 similar products already out there, and each of these products showing high engagement (avg 19 comments), it shows people are interested in virtual makeup solutions. The discussion around Rad Camera, for example, highlights how these tools can boost confidence and streamline the process of getting ready for virtual meetings, however, one should keep in mind the negative feedback on using constant makeup. Your challenge lies in differentiating your product while meeting the core needs of users.

Recommendations

  1. Begin by deeply analyzing Rad Camera and Doji, the two competitors in the similar product list. What features did their users praise, and where did they voice concerns? Understanding their strengths and weaknesses is crucial for identifying your unique selling proposition.
  2. Focus on 2-3 key areas where you can outperform the competition. Given the comments about Rad Camera, consider the adaptation of makeup to different skin tones and camera lighting as one key area. Another idea is to offer hyper-realistic virtual makeup and avoid looking artificial.
  3. Start with a minimal viable product (MVP) that offers the core features users value most. Focus on a seamless selfie upload process, a selection of popular makeup looks, and realistic virtual application. Don't try to do everything at once.
  4. Implement a freemium model with in-app purchases. Offer a basic set of makeup options for free, and then charge for premium brands, exclusive looks, or advanced features. This will validate real demand.
  5. Prioritize acquiring and retaining your first 50 customers. Gather their feedback through surveys, interviews, and in-app analytics. Use their insights to iterate on your product and ensure it meets their needs.
  6. Explore partnerships with makeup brands to feature their products in your simulator. This could be a mutually beneficial arrangement where you get access to high-quality assets, and they get increased brand exposure.
  7. Address the criticism that was mentioned in the similar product discussions about makeup damaging skin by partnering with dermatologists or skincare experts to offer advice and recommendations within your app. This could include skincare routines or product recommendations.
  8. Leverage user-generated content by allowing users to share their virtual makeup looks on social media. This can help you drive organic traffic and increase brand awareness. Also make it possible to create a community where users can exchange about best looks.

Questions

  1. How will you ensure that your makeup simulator accurately represents different skin tones and textures, and that the virtual makeup looks realistic under various lighting conditions?
  2. Given the potential for partnerships with makeup brands, what innovative ways can you integrate their products into your simulator to create a seamless and engaging user experience?
  3. How will you address the concern about the constant makeup use potentially being damaging to the skin in your marketing materials or as part of the simulator's features?

  • Confidence: Medium
    • Number of similar products: 3
  • Engagement: High
    • Average number of comments: 19
  • Net use signal: 26.9%
    • Positive use signal: 28.8%
    • Negative use signal: 1.9%
  • 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

Rad Camera - Virtual makeup to avoid real makeup

12 Jun 2024 Productivity Beauty Tech

Radcam is your solution to looking flawless on video calls without the hassle of makeup! Perfect for late-night meetings and last-minute calls, Radcam ensures you always look your best, boosting confidence and saving your skin. Curious? Get started in a min ✨

Radcam, a virtual makeup tool for video calls, has received overwhelmingly positive feedback on its Product Hunt launch. Users praise its ease of use, natural-looking makeup options, and time-saving benefits. Many highlight its ability to boost confidence, enhance virtual presence, and streamline the process of getting ready for meetings, particularly for remote workers. Several users inquired about its suitability for men, camera lighting and skin tone adaptation, and the monetization strategy. Multiple comments also congratulated the team and wished them success.

A user criticized that constant makeup use for video calls was damaging to the skin.


Avatar
90
45
28.9%
2.2%
45
90
31.1%
2.2%
Relevance

Doji - Create your likeness, virtually try on products and explore

Create your likeness, try on products, explore new looks.

Doji's launch on Product Hunt garnered positive feedback, with users praising its innovative concept and fashion-forward design, noted from Instagram. Suggestions included visualizing models in motion and exploring AI recommendations. Users inquired about application for video avatars and launch dates. The concept of digital trials was highlighted for risk-free product testing. The co-founder, Dorian, is actively seeking feedback. General wishes for success were expressed.


Avatar
34
7
14.3%
7
34
14.3%
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