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Overly
Search and ask questions inside lecture videos
Overly is an AI-powered study layer for lecture videos. Students can search inside long lectures, ask questions, generate summaries, and jump to the exact timestamp where a topic is explained. I built it during a hackathon after noticing how painful it is to revise from long recorded lectures. The MVP is working, tested by a few students, and documented.
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About Overly on Product Hunt
“Search and ask questions inside lecture videos”
Overly launched on Product Hunt on June 9th, 2026 and earned 83 upvotes and 8 comments, placing #26 on the daily leaderboard. Overly is an AI-powered study layer for lecture videos. Students can search inside long lectures, ask questions, generate summaries, and jump to the exact timestamp where a topic is explained. I built it during a hackathon after noticing how painful it is to revise from long recorded lectures. The MVP is working, tested by a few students, and documented.
On the analytics side, Overly competes within Education and Tech — topics that collectively have 704.3k followers on Product Hunt. The dashboard above tracks how Overly performed against the three products that launched closest to it on the same day.
Who hunted Overly ?
Overly was hunted by Akshat Soni. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Overly including community comment highlights and product details, visit the product overview.
Hey Product Hunt 👋
I built Overly during a hackathon and later polished it into a working MVP.
The problem is simple: students often remember that a topic was explained somewhere in a lecture, but finding that exact moment again is painful.
Overly helps by making lecture videos searchable. You can ask questions, get summaries, and jump directly to the timestamp where something is explained.
It’s still early and pre-revenue, but the core flow works and a few students have tested it.
I’d love feedback on:
- timestamp accuracy
- whether YouTube/course support matters more
- whether this is stronger for students, course creators, or coaching institutes
Also open to chatting with builders or edtech people who are interested in taking this further.