Feeling Great is an AI-powered mental health app developed by Dr. David Burns, author of "Feeling Good." It uses scientifically-proven Cognitive Behavioral Therapy (CBT) techniques through an interactive chatbot to help users quickly reduce feelings of depression, anxiety, and hopelessness. The app provides guided lessons and personalized exercises to challenge negative thoughts and build emotional resilience.
Mindsum is a non-profit platform providing accessible mental health support for children, young people, and families. It combines a free, 24/7 AI chatbot for immediate guidance with a comprehensive system for finding, booking, and connecting with qualified therapists for personalized care.
Feeling Great is an AI-powered mental health app developed by Dr. David Burns, author of "Feeling Good." It uses scientifically-proven Cognitive Behavioral Therapy (CBT) techniques through an interactive chatbot to help users quickly reduce feelings of depression, anxiety, and hopelessness. The app provides guided lessons and personalized exercises to challenge negative thoughts and build emotional resilience.
Mindsum is a non-profit platform providing accessible mental health support for children, young people, and families. It combines a free, 24/7 AI chatbot for immediate guidance with a comprehensive system for finding, booking, and connecting with qualified therapists for personalized care.
| Feature | Feeling Great | Mindsum |
|---|---|---|
| Primary category | Mental Health | Resource |
| Added | 2025-08-11 | 2025-08-17 |
| Pricing | Freemium | Freemium |
| Official website | www.feelinggreat.com | www.mindsum.org |
| Product type | App | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 6.9K | 2.7K |
| Monthly growth | 45.2% | 23% |
| Favorites | 149 | 149 |
| Details | View details | View details |
Compare Feeling Great and Mindsum by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Feeling Great vs Mindsum monthly traffic comparison, Feeling Great currently shows 6.9K visits and Mindsum shows 2.7K; Feeling Great has about 2.6 times the visible traffic of Mindsum, an absolute difference of about 4.2K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 70.46% | 4.9K |
| 🇮🇳India | 27.04% | 1.9K |
| 🇬🇧United Kingdom | 2.5% | 172 |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 54.2% | 1.5K |
| 🇬🇧United Kingdom | 25.62% | 691 |
| 🇮🇳India | 20.18% | 545 |
This in-depth Feeling Great vs Mindsum comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Feeling Great is primarily listed under “Mental Health”, while Mindsum is primarily listed under “Resource”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Feeling Great: Mental Health; Mindsum: Resource); Product type (Feeling Great: App; Mindsum: Website); Monthly visits (Feeling Great: 6.9K; Mindsum: 2.7K); Monthly growth (Feeling Great: 45.2%; Mindsum: 23%); Website (Feeling Great: www.feelinggreat.com; Mindsum: www.mindsum.org). These facts are more useful for selection than brand visibility alone.
In the Feeling Great vs Mindsum monthly traffic comparison, Feeling Great currently shows 6.9K visits and Mindsum shows 2.7K; Feeling Great has about 2.6 times the visible traffic of Mindsum, an absolute difference of about 4.2K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Feeling Great first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Feeling Great and Mindsum currently overlap in shared categories: Mental Health; shared tags: anxiety, chatbot, depression, mental health, self-help, and therapy. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Feeling Great's unique categories/tags are Wellness, Personal Development, CBT, David Burns, mood tracker, and wellness; Mindsum's are Resource, Chatbot, ADHD, counseling, family support, non-profit, and youth support. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Feeling Great has no verified rating, 0 comments, 149 favorites, and 165 likes；Mindsum has no verified rating, 0 comments, 149 favorites, and 128 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Feeling Great on the priority trial list when the task aligns with “Mental Health” and especially Wellness, Personal Development, CBT, David Burns, mood tracker, and wellness. This follows recorded positioning and does not imply unlisted capabilities are absent.
Feeling Great also currently records: pricing is freemium, product type is app, 6.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Mindsum on the priority trial list when the task aligns with “Resource” and especially Resource, Chatbot, ADHD, counseling, family support, and non-profit. This follows recorded positioning and does not imply unlisted capabilities are absent.
Mindsum also currently records: pricing is freemium, product type is website, 2.7K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Feeling Great and Mindsum, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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