A search engine for deleted YouTube videos (1.5B+ indexed since 2005)
In plain words
This search engine indexes over 1.5 billion deleted YouTube videos dating back to 2005, allowing users to discover and access content that is no longer available on the platform. It serves researchers, archivists, and anyone interested in finding removed videos. The tool stands out by providing access to a massive historical archive spanning more than two decades of YouTube's history, making it valuable for those seeking videos that have since been taken down.
written from the facts on this page · September 2026
Does the same job
all alternatives →- YDYouTube Decade – The most-viewed videos posted 10 years ago2019 · youtubedecade.netlify.com · ▲168
- IMI made a YouTube search form with advanced filtersApr 2026 · playlists.at · ▲325
- ASAdvanced Search for YouTube2022 · playlists.at · ▲21
- SSSemantic search for video2023 · semanticvideosearch.com · ▲77
Hello HN Over the New Year's break, I created semanticvideosearch.com. This can search any video based on meaning and context. I would love to get your feedback on it. What should I change and what can be improved? The preprocessed videos can be search very quickly, while the youtube video links take some time (yt videos also have a upper duration limit due to compute issues). I intend to add search based on the frames of the video soon. I would love to know your thoughts on the demo and any suggestions for improvements. Thanks! PS: the inspiration to create this was to get the 2 mins of…
- VSVideoMentions – Search YouTube based on the spoken words in videos2022 · videomentions.com · ▲295

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- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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