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Your idea of automating porn searches to save people time falls into the "Minimal Signal" category. This means there isn't a lot of evidence of strong market demand, possibly because the problem is very niche or not seen as important enough by many. With only two similar products found, our confidence in this assessment is low, suggesting that the concept might not resonate widely or is already adequately addressed. The average engagement (number of comments) on these similar products is also low. Given this context, you'll need to actively validate whether there's genuine demand before committing significant time and resources. Proving that people actually feel this pain point strongly enough to seek a solution is crucial before moving forward.

Recommendations

1. Begin by directly engaging with your target audience to gauge their interest. Identify online communities, forums, or social media groups where people discuss adult content consumption, and share your idea to get feedback. Frame it as a problem you're trying to solve, and ask if others experience the same frustration with time-consuming searches.
2. Offer to manually curate personalized content recommendations for a small number of potential users. This will help you understand their specific needs and pain points, and validate whether your automation idea aligns with real-world search behaviors. You can use this manual service to understand what parameters are important for your audience when filtering content.
3. Create a short, engaging explainer video showcasing how your automation tool would work and the time it could save users. Upload it to platforms frequented by your target audience, and track the completion rate to assess genuine interest. Use engaging visuals and a clear explanation of benefits to maximize viewership.
4. Gauge commitment by asking interested individuals for a small deposit to join a waiting list for your automated solution. This filters out casual interest and identifies those who are truly motivated to use your product. Be transparent about the purpose of the deposit and what they will receive in return.
5. Based on the discussion summaries of similar products, be extra careful about content filtering policies. Make sure that your automated search will produce content that doesn't trigger any of the filters of Azure OpenAI or any other language model/ content scanning services. It is critical to test this extensively during development.
6. If you cannot find at least five genuinely interested individuals within three weeks, re-evaluate the viability of your idea. It may indicate a lack of market demand or that your solution does not adequately address the needs of your target audience. If you continue to pursue it, significantly adjust your approach based on the feedback you received.

Questions

1. How can you ensure that your automated search not only saves time but also delivers content that aligns with users' specific preferences and avoids common frustrations like mislabeling and repetitive content, as highlighted in the criticism summaries of similar products?
2. Considering the potential issues with content filtering policies, what proactive measures will you take to ensure your automated search complies with regulations while still providing users with the content they seek without excessive restrictions or false positives?
3. Given that there are very few similar apps, what are your assumptions about why other companies haven't already successfully solved this problem, and how will you validate those assumptions before investing significant resources?