- Brand
- Bettyapp
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
Bettyapp finds the moment in a university or school lecture where a topic is explained, and links to the lecture at that second. Ask about a topic, or a question you are stuck on, such as integration by parts or why ice floats. Bettyapp returns the best moments, each with the lecture title, the teacher, a short summary and the time it starts. Select a link to watch the lecture from that moment on bettyapp.org. The lectures come from open courses, such as MIT OpenCourseWare, and from teachers who publish on YouTube. Each moment shows its credit line and licence. For students in high school and university, and for anyone who is learning on their own. Limitations: Bettyapp finds only the lectures it has. When it has no lecture on a topic, it says so. It gives no answers to graded work: it points to the part of a lecture that explains the topic. Bettyapp reads only its own lecture catalogue. It does not see your chats, files or accounts.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Bettyapp
- Access
- No account required
- First tracked
- 2026-11-13
- Tool count
- 9
- Market
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
Not discoverable in ChatGPT yet
ChatGPT now suggests Plugins on its own when they match a user's request, but not every Plugin is being surfaced yet.We haven’t seen Bettyapp suggested yet. Sign up and we’ll track it, and your Discoverability Score will appear here once ChatGPT starts surfacing it.
What discovery looks like

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Competitive lineup
9 tools agents can invoke
Bettyapp ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve Bettyapp's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.


