This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
EMET is a small MPL-2.0 CLI that anchors file bytes and re-computes SHA-256 later to report MATCH, DRIFT, or UNVERIFIABLE. It helps reviewers check whether an AI-touched file, prompt, or presented view still matches the source bytes. It does not decide semantic truth or model safety; it keeps byte evidence outside the system being checked.
Hi Product Hunt — I’m Zain Dana Harper, the maker of EMET.
EMET is a narrow byte-witness: anchor the raw bytes you care about, then re-run an external check later to get MATCH, DRIFT, or UNVERIFIABLE. It is meant for AI-assisted work where a polished summary can hide whether the underlying file or presented view changed.
Current public release: EMET 1.3.0 on PyPI, install with `pip install emet==1.3.0`.
Source: https://github.com/HarperZ9/emet
License: MPL-2.0.
Limits are deliberate: EMET checks byte consistency and evidence availability, not semantic truth, model safety, or trustworthiness. If there is no anchor or no raw-byte channel, the right answer is UNVERIFIABLE.
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About EMET on Product Hunt
“Check AI-touched files against source bytes”
EMET was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #139 on the daily leaderboard. EMET is a small MPL-2.0 CLI that anchors file bytes and re-computes SHA-256 later to report MATCH, DRIFT, or UNVERIFIABLE. It helps reviewers check whether an AI-touched file, prompt, or presented view still matches the source bytes. It does not decide semantic truth or model safety; it keeps byte evidence outside the system being checked.
EMET was featured in Open Source (68.9k followers), Developer Tools (519.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 129.8k products, making this a competitive space to launch in.
Who hunted EMET?
EMET was hunted by Zain Dana Harper. 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.
Want to see how EMET stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zain Dana Harper