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Truthound Depot Cloud
Validate dataset changes before production
Truthound Depot is a dataset versioning and review workspace for teams working with AI, RAG, evaluation, and production data. Import CSV, JSON, JSONL, or Parquet files as encrypted Data Versions, or connect a cloud data source for scoped validation. Compare changes, run validation checks, request reviews, preserve evidence, publish verified versions, and restore a previously approved version when something goes wrong.
Hi Product Hunt! I’m DongGyun, the founder of Styxis and the maker of Truthound Depot.
I started building Truthound Depot after seeing data changes move faster than teams could reliably review them. This becomes especially risky with RAG datasets, evaluation data, automated workflows, and AI agents: a small, unnoticed change can quietly affect production behavior.
Most tools can store data or show a validation result, but teams still need to understand what changed, decide whether it is safe, and preserve the reasoning behind that decision.
Truthound Depot brings that workflow into one place. You can import datasets as encrypted, immutable Data Versions or validate a selected cloud source directly. From there, you can compare changes, run validation, request a review, preserve evidence, publish a verified version, and restore an earlier approved version if needed.
Our guiding idea is simple: “Sniff before you merge.”
I’d love to hear how your team currently reviews dataset changes, especially for RAG, eval, and production data. Your feedback will help shape what we build next.
— DongGyun
Founder, Styxis
https://styxis-io.com
About Truthound Depot Cloud on Product Hunt
“Validate dataset changes before production”
Truthound Depot Cloud was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #133 on the daily leaderboard. Truthound Depot is a dataset versioning and review workspace for teams working with AI, RAG, evaluation, and production data. Import CSV, JSON, JSONL, or Parquet files as encrypted Data Versions, or connect a cloud data source for scoped validation. Compare changes, run validation checks, request reviews, preserve evidence, publish verified versions, and restore a previously approved version when something goes wrong.
On the analytics side, Truthound Depot Cloud competes within Developer Tools, Artificial Intelligence and Data & Analytics — topics that collectively have 999.1k followers on Product Hunt. The dashboard above tracks how Truthound Depot Cloud performed against the three products that launched closest to it on the same day.
Who hunted Truthound Depot Cloud?
Truthound Depot Cloud was hunted by SEO DONG GYUN. 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 Truthound Depot Cloud including community comment highlights and product details, visit the product overview.
SEO DONG GYUN