Sasha Friedman
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It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
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LLM-Friendly Embed Codes
Make your videos visible to ChatGPT
Meet LLM-friendly Embed Codes: a new kind of embed that makes your videos readable by AI tools like ChatGPT. It’s a small technical shift with massive implications for how video content gets discovered, understood, and surfaced across LLMs. Think of it as SEO in an AI-first world - ensuring that all of the rich and valuable content in your videos is discoverable no matter where your audience is searching.
About LLM-Friendly Embed Codes on Product Hunt
“Make your videos visible to ChatGPT”
LLM-Friendly Embed Codes was submitted on Product Hunt and earned 6 upvotes and 1 comments, placing #89 on the daily leaderboard. Meet LLM-friendly Embed Codes: a new kind of embed that makes your videos readable by AI tools like ChatGPT. It’s a small technical shift with massive implications for how video content gets discovered, understood, and surfaced across LLMs. Think of it as SEO in an AI-first world - ensuring that all of the rich and valuable content in your videos is discoverable no matter where your audience is searching.
Who hunted LLM-Friendly Embed Codes?
LLM-Friendly Embed Codes was hunted by Sasha Friedman. 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.
Reviews
LLM-Friendly Embed Codes has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of LLM-Friendly Embed Codes including community comment highlights and product details, visit the product overview.