Put your data to work across apps and AI tools, and keep building on it as your stack evolves. Walrus Console pairs familiar file management with an AI-ready data foundation that is portable, programmable, and verifiable. Free up to 5 GB.
I'm Abner, Community lead at Walrus Foundation. If you're building anything data-heavy right now, you know the tax. Your product accumulates files, context, and history that become your edge. But when apps and permissions are built around one provider, that data becomes harder to use anywhere else. Moving it means migrations and rewrites. Access rules get recreated in each new environment. Verifying it depends on the provider's systems.
That's why we built Walrus Console.
Console pairs familiar file management with an AI-ready data foundation. You get one place to store, protect, and connect your data, so you can put it to work across apps and AI tools and keep building on it as your stack evolves.
Portable: use your data across supported apps, and connect AI tools and agents through MCP Programmable: keep your data private by default with encryption Verifiable: verify data integrity independently rather than taking a provider's word for it
Sign in with Google or Apple and start for free with up to 5 GB.
How are you handling data portability today? What's been the hardest part? I'd love to hear your feedback in the comments.
About Walrus Console on Product Hunt
“Store, Protect and Connect Your Data”
Walrus Console launched on Product Hunt on October 7th, 2026 and earned 74 upvotes and 4 comments, placing #28 on the daily leaderboard. Put your data to work across apps and AI tools, and keep building on it as your stack evolves. Walrus Console pairs familiar file management with an AI-ready data foundation that is portable, programmable, and verifiable. Free up to 5 GB.
On the analytics side, Walrus Console competes within Storage, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Walrus Console performed against the three products that launched closest to it on the same day.
Who hunted Walrus Console?
Walrus Console was hunted by Abner Pinto. 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 Walrus Console including community comment highlights and product details, visit the product overview.
Abner Pinto
Hey Product Hunt,
I'm Abner, Community lead at Walrus Foundation.
If you're building anything data-heavy right now, you know the tax. Your product accumulates files, context, and history that become your edge. But when apps and permissions are built around one provider, that data becomes harder to use anywhere else. Moving it means migrations and rewrites. Access rules get recreated in each new environment. Verifying it depends on the provider's systems.
That's why we built Walrus Console.
Console pairs familiar file management with an AI-ready data foundation. You get one place to store, protect, and connect your data, so you can put it to work across apps and AI tools and keep building on it as your stack evolves.
Portable: use your data across supported apps, and connect AI tools and agents through MCP
Programmable: keep your data private by default with encryption
Verifiable: verify data integrity independently rather than taking a provider's word for it
Sign in with Google or Apple and start for free with up to 5 GB.
How are you handling data portability today? What's been the hardest part? I'd love to hear your feedback in the comments.