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Your idea for a customized AI onboarding and training platform, while timely, falls into a crowded space we call the "Swamp". This means many similar solutions have launched, but haven't really gained traction, suggesting fundamental challenges in the market. The presence of 6 similar products confirms that there is competition. The engagement is low (average 3 comments) which confirms this is a Swamp category. There is no net use or buy signal, further reinforcing that there is not product market fit yet. Based on this, it's going to be tough to make your idea stand out. You'll need to seriously differentiate to avoid the same fate.

Recommendations

1. First, deeply investigate why the existing AI training platforms haven't achieved widespread success. Look beyond surface-level features. Are they too expensive? Not tailored enough? Poor user experience? Understanding the failures of others is crucial before investing further.
2. If you decide to proceed, identify a specific niche or group with very specific AI training needs that current platforms are failing to meet. General AI training platforms risk being too broad and ineffective. For example, focus on onboarding AI tools for marketing teams, or training data scientists in a specific industry like healthcare. The more focused you are, the better you can tailor the content and differentiate your offering.
3. Instead of building a completely new platform, consider creating tools or integrations that enhance existing learning management systems (LMS) or training providers. Focus on a specialized function (e.g., AI-driven personalized feedback on coding assignments, or AI-powered content generation for existing courses) that you can distribute through established channels.
4. Explore adjacent problems that might be more promising. Are there challenges in AI adoption that precede the need for training, like data governance or model deployment? Addressing these foundational issues might open up more valuable opportunities. People need to have models before they need to onboard the teams to use those models.
5. Given the crowded market and lack of clear success stories, carefully consider whether investing your time and resources into this idea is the best choice. There may be other, more promising opportunities that align better with your skills and the current market demands. You don't want to get stuck in the Swamp.
6. Given the positive user feedback on Mindsmith's Product Hunt launch, particularly its time-saving capabilities, prioritize features that streamline and accelerate the onboarding process. Focus on minimizing the time investment required from both employees and administrators.
7. Leverage Mindsmith's success in teaching ChatGPT prompt engineering as a potential specialization. This specific skill is in high demand, and focusing on it could attract a dedicated user base. Use AI to train people how to use AI, great idea!

Questions

1. What is your unique, defensible approach to AI onboarding that existing platforms are missing, and how will you validate that this approach resonates with your target audience before building the entire platform?
2. Given the low engagement with similar products, what specific marketing and community-building strategies will you employ to ensure your platform stands out and attracts a loyal user base?
3. How will you measure the actual impact of your AI onboarding programs on employee performance and company ROI, and what guarantees or assurances can you offer to potential clients to mitigate the risk of investing in your solution?