FindSupport.ai
Describe what you are going through; the platform finds who fits and sends the first message.
Overview
Directories solved a problem people do not have. Finding a list of therapists is easy; writing to a stranger about the worst thing in your life is where people stop, and every player in the category competes on the size of the list instead.
FindSupport takes a description of the situation rather than a filter query, matches it against 2,748 licensed US therapist profiles across 147 cities, and carries the first message itself. Free peer support — a moderated conversation with someone who has lived through the same thing — sits alongside it for the people who are not ready for therapy.
What it does
- Plain-language intake instead of filters and forms
- Matching on situation, language, and lived experience
- First contact sent on the platform, with no exposed emails
- Free, moderated peer support by lived experience
- City hubs and topic pages that open onto the same flow
- Free listing and profile claim for specialists, with moderation
Architecture
- Conversational intake and matching engine
- On-platform messaging and delivery layer
- Moderated supply pipeline for specialists
- Peer-support matching with safety review
- Programmatic city and topic page generation
Impact
- Moves the product to the step users actually stall on
- Revenue lands at the moment of contact, not the listing
- Supply grows without a sales team — listing is free and reviewed
- Reaches people who would not have contacted anyone at all
The first message, not the directory
Want a system like this?
Book a strategy callDesigning against the drop-off, not the search
Every directory in this category works on the same step, filtering a list, and that is not where people drop off. They find candidate therapists and then do not write, because the message is the hard part: telling a stranger something painful, in writing, with no idea what is normal to say. Better search results do nothing about that.
Starting from a plain-language description moves the burden. The person says what is happening in their own words, which they can do, and the system turns that into both the match and the opening message. The step that used to end the session is now the step the product does.
Keeping contact on the platform
Not publishing emails and phone numbers is a product decision before it is a business-model one. Off-platform contact means no delivery confirmation, no moderation, no way to tell whether a match worked, and no recourse if a specialist never replies. Keeping the conversation inside the system makes all of that visible, and without that visibility matching cannot improve.
It also puts revenue where the value is created. The catalogue is free because catalogues are not scarce; what is scarce is a person who has decided to reach out. Charging at that point rewards making the moment easier, not inflating the listing count.
- AI ConsultingStrategy through production for a system like this one in your own business.
- AI Architecture SessionsA private session to design your own AI system with the person who built this one.
- FindSupport.aiThe venture: matching on situation rather than filters, and where it earns.
- Mental-health matching platformThe case study, with the directory's real coverage.