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
SvGrid
The Svelte 5 data grid. Headless-first. AI-native
A data grid built for Svelte 5 runes from scratch. 1M-row virtualization, Excel-style filters, 15 inline editors, grouping, tree data, Kanban. MIT core with no license key, no row cap, no watermark. Ships an MCP server so AI editors write grid code that runs.
We have been building UI components since 2011 (jQWidgets,
htmlelements.com). Every grid we shipped before this one was framework-agnostic
with a thin adapter per framework. SvGrid is the opposite bet: written for
Svelte 5 runes from the first line, with nothing to adapt.
What that buys you concretely: the headless engine is ~2 KB gzipped and holds
state in runes, so you compose it into your own markup and reactivity just
works. Drop in instead and you get the rendered component at ~78 KB
plus ~9 KB of CSS, SSR included (SvelteKit server-renders the header and a
viewport window of rows).
The part I most want feedback on is the MCP server. Point Claude, Cursor, or Zed
at @svgrid/mcp and the model gets version-pinned prop, method, and event names
plus the source of 373 live demos as grounding. Ask for "a grid grouped by
region with a sparkline per row and a filter bar" and the code it writes runs,
instead of inventing props that were never in the API. There is also an
llms.txt and an Agent Skill if you would rather not run a server.
On the open core, so nobody gets surprised after wiring it in: @svgrid/grid is
MIT with no license key, no row cap, and no watermark. Row and column
virtualization (there is a 1M-row demo), Excel-style filtering, 15 inline
editor types, cell-range selection with copy/paste and a fill handle, row
grouping with aggregation, tree data, master/detail, undo/redo, find-in-grid,
the server-side row model, the AI helpers, and a Svelte 5 UI component suite
are all in that free package. A commercial pack adds Excel/PDF export, import,
print, pivot tables, and the Kanban and scheduler renderers, and that is what
funds the work. OSS projects on an OSI-approved license get the pack free.
Try it in one command:
npm create @svgrid@latest
Add MCP to Claude Code:
claude mcp add svgrid -- npx -y @svgrid/mcp
Demos: https://svgrid.com/demos
If you build on SvelteKit, I would especially like to hear where the headless
API feels awkward. That surface is still young and easier to change now than
later.
About SvGrid on Product Hunt
“The Svelte 5 data grid. Headless-first. AI-native”
SvGrid was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #13 on the daily leaderboard. A data grid built for Svelte 5 runes from scratch. 1M-row virtualization, Excel-style filters, 15 inline editors, grouping, tree data, Kanban. MIT core with no license key, no row cap, no watermark. Ships an MCP server so AI editors write grid code that runs.
On the analytics side, SvGrid competes within Open Source, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how SvGrid performed against the three products that launched closest to it on the same day.
Who hunted SvGrid?
SvGrid was hunted by Boyko Markov. 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 SvGrid including community comment highlights and product details, visit the product overview.
Boyko Markov