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.
Great product! We've integrated it already with @matterhornso and works like a charm. Congrats on the launch!
guessing from the url this sits on Walrus/Sui under the hood. when you say "portable" - portable between apps that all speak Walrus, or is there an actual export to plain files if someone wants to leave the ecosystem entirely someday? that's usually the real test of "portable" for me, not how easy it is to bring data in but how easy it is to leave with it
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.
Walrus Console was featured in Storage (7.2k followers), Developer Tools (521.5k followers) and Artificial Intelligence (481.5k followers) on Product Hunt. Together, these topics include over 220.9k products, making this a competitive space to launch in.
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.
Want to see how Walrus Console stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
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.