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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Mochi Table
One place for all your work. No servers, no monthly bill.
Build a customer list, a hiring tracker, or anything else your team needs. It all lives on your own computer, there is nothing to run and no monthly bill, and Claude, Codex and OpenCode can work in it with you.
> I built **Mochi Table** out of a very practical pain point. Managing project data and e-commerce stores locally was consuming way too much RAM on my MacBook because of heavy server processes like traditional SQL setups. On top of that, standard spreadsheets like Excel require complex hook functions and heavy token consumption just to inspect or edit data with AI.
> I wanted a lightweight, highly visual alternative, so I built Mochi on top of SQLite. It offers intuitive data tables that are much easier to manage than traditional spreadsheets, drastically lowering resource usage and reducing AI token overhead.
> Mochi also enables multi-agent workflows where different AI agents can collaborate, define, and describe their own data spaces freely without conflicting with each other. Everything syncs seamlessly via GitHub to keep your setup simple, local, and collaborative.
> I would love to hear your thoughts, feedback, or any features you would like to see next!
> How are you currently managing local data with AI agents?
About Mochi Table on Product Hunt
“One place for all your work. No servers, no monthly bill.”
Mochi Table was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #112 on the daily leaderboard. Build a customer list, a hiring tracker, or anything else your team needs. It all lives on your own computer, there is nothing to run and no monthly bill, and Claude, Codex and OpenCode can work in it with you.
On the analytics side, Mochi Table competes within Productivity, Artificial Intelligence and Database — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Mochi Table performed against the three products that launched closest to it on the same day.
Who hunted Mochi Table?
Mochi Table was hunted by Kuro Denjiro. 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 Mochi Table including community comment highlights and product details, visit the product overview.
Kuro Denjiro