Product Thumbnail

Tictable

The spreadsheet rebuilt for AI

Design Tools
Productivity
Analytics
Spreadsheets
Developer Tools
Data & Analytics

Hunted byHugo BjörkHugo Björk

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.

Top comment

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 can generate filters, formulas, and reports from plain language
• Charts and reports stay in sync as your data changes
• File columns keep attachments tied to each row
• It stays fast, even with large datasets

Recent updates include live reports, smarter imports, custom SQL queries, formula columns, improved filters, a sidebar agent, faster rendering, file support, kanban boards, stronger charts, and split views.

We’d love feedback on a few things:
1. What would make you switch from Airtable, Sheets, or Notion?
2. Is it more important to analyze existing data or manage your own inside the tool?
3. What should we focus on next?

Happy to answer anything all day 🙌

Comment highlights

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?

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.

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?