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Explore September 11, 2001 through a 41-minute documentary and 179 source-linked timeline entries. Jump from verified archive entries into the film. Built with GPT-6 Astra for local archive analysis and editorial support.
Hi Product Hunt — I’m Matija, the maker of Archive to Film.
I wanted to explore whether an archive could become a documentary while keeping its sources visible. This first edition follows September 11, 2001: a 41-minute film alongside 179 timeline entries drawn from 240 archived posts. You can read the source context, open the original post, and jump into the film where a verified link exists. Entries without a verified film link remain clearly marked.
For the GPT-6 Astra Challenge, I used Astra for local archive analysis, editorial support, and architectural advice, with Sol implementing the website. ElevenLabs supplies the narration, H3 Max through fal.ai animates the fictional presenter, and FFmpeg assembles the film. Cloudflare Stream serves the video.
This is an AI-assisted documentary and archive explorer. The narrator is fictional; original source reports remain linked and are presented as reports rather than independently verified facts. Human review remains responsible for the final framing.
I’d love feedback on how easily you can move between the film and its sources, and what would make that connection more useful.
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About Archive to Film on Product Hunt
“A documentary you can trace back to its sources”
Archive to Film was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #65 on the daily leaderboard. Explore September 11, 2001 through a 41-minute documentary and 179 source-linked timeline entries. Jump from verified archive entries into the film. Built with GPT-6 Astra for local archive analysis and editorial support.
Archive to Film was featured in Artificial Intelligence (479.1k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 124k products, making this a competitive space to launch in.
Who hunted Archive to Film?
Archive to Film was hunted by Matija Grcic. 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.
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Matija Grcic