
CapGo.ai
Midship
TUKO AI
ExcelMaster.ai
Ajelix
AI Excel Bot
ExcelBot
The AI Spreadsheet to Create Reports, Presentations, Charts, and Visuals

FriendlyData
Infer SQL queries from plain-text questions and table headers.

Which is more popular?
Based on our record, mlsql should be more popular than The Bricks. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | thebricks.com | github.com |
| Pricing | — | |
| Company | Startup from the United States · 1 - 9 employees · 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Bricks is a Notion alternative with spreadsheets. The Bricks spreadsheet is powered by AI, and can create all sorts of things for you - like project timelines, calendars, reportings, dashboards, task trackers, org charts, kanban boards, and tons of other visuals. Like Canva for work, but AI makes...
No description of mlsql yet.
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


No analysis of The Bricks yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using The Bricks and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


This looks cool. We at Bricks want to provide a simpler AI spreadsheet useful for everyone (rather than just a technical audience). And we added a layer for docs and slides so that you dont have to context switch between tools.... - Source: Hacker News / over 1 year ago
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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