The spreadsheet rebuilt for AI
Tictable is the best place to work with small data, big data and everything in-between. Tictable runs SQL directly in the browser and lets AI explore your data by executing hundreds of queries in real time. Ask questions, generate live reports, and turn messy data into insights, all while keeping the simplicity of a spreadsheet.
Hey Product Hunt 👋 We’re two brothers from Sweden building Tictable. We built Tictable because spreadsheets are still the best way to work with data. But they start to break when you want deeper analysis, better performance, or AI that actually understands what you are doing. Tictable is a fast, minimal spreadsheet with a real query engine. You can use SQL or just ask with AI, directly in the browser. A few things we think make it special: • SQL runs directly against your spreadsheet data • AI c
most spreadsheet AI tools sit alongside the data and suggest what to type next, which means you're still the one executing, just with better autocomplete. running SQL directly in the browser and letting the AI fire hundreds of queries in real time flips that completely. the AI isn't advising, it's actually doing the exploration. the gap between asking a question and getting the answer stops being "write a formula and see if it works" and becomes just... the answer.
I often work with CSV, Excel, and JSON. Can ticktable Import all these formats directly in the browser? Handle large files without crashing? Detect and fix common data issues (missing values, inconsistent dates) on import? Connect to cloud storage for direct import?
If we are running the SQL in browser, How does it affects the performance? I mean I have worked with files of millions of rows and hundreds of columns can it handle that?
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.