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What Made It?
Evidence-first AI analysis for images, video, audio & docs
What Made It? is an evidence-first workspace for investigating AI signals across images, PDFs, Office documents, video and audio. Instead of returning a single unexplained score, it separates model signals, file metadata and available Content Credentials into an inspectable evidence ledger. For documents and media, originals stay in your browser while you select the pages, frames, images or audio clip to analyze. Results include limitations—not claims of authorship or intent.
Hi Product Hunt 👋
What Made It? started with a frustration: most AI detectors reduce a complicated question to one confident-looking percentage. That number is easy to misunderstand as proof.
We wanted a more transparent approach. What Made It? separates model signals, file and metadata evidence, and available Content Credentials into an evidence ledger you can inspect. It also shows limitations and remains inconclusive when the evidence does not support a stronger conclusion.
The workspace supports images and selected evidence from PDFs, Office documents, video and audio. Where supported, original documents and media stay in your browser—you choose which pages, frames, images or audio clip to analyze.
Image checks are free to try without an account, with 3 analyses per UTC day.
We’d especially value your feedback:
• Is the evidence ledger easy to understand?
• Which media workflow is most useful to you?
• What should we explain more clearly?
Thanks for checking out What Made It?
About What Made It? on Product Hunt
“Evidence-first AI analysis for images, video, audio & docs”
What Made It? was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #54 on the daily leaderboard. What Made It? is an evidence-first workspace for investigating AI signals across images, PDFs, Office documents, video and audio. Instead of returning a single unexplained score, it separates model signals, file metadata and available Content Credentials into an inspectable evidence ledger. For documents and media, originals stay in your browser while you select the pages, frames, images or audio clip to analyze. Results include limitations—not claims of authorship or intent.
On the analytics side, What Made It? competes within Privacy, Artificial Intelligence and Photo & Video — topics that collectively have 492.4k followers on Product Hunt. The dashboard above tracks how What Made It? performed against the three products that launched closest to it on the same day.
Who hunted What Made It??
What Made It? was hunted by Mix Charles. 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 What Made It? including community comment highlights and product details, visit the product overview.
Mix Charles