Text2SQL.AI
AI2sql
TTSQL
Vanna AI
AskYourDatabase
EXASOL
Lila
Generate SQL queries using text

LEGO Jurassic World
Lego Boost
LEGO Worlds
Kidgeni
Pileometer
Nintendo Classic Mini
Brick Economy
Use ML to detect what can be built from your pile of legos

Which is more popular?
Based on our record, Brickit seems to be more popular. It has been mentioned 13 times since March 2021.
Website, pricing, platforms and company facts side by side.
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TSQ
Txt2SQL
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| Website | txt2sql.com | brickit.app |
| Pricing | — | |
| Company | 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

Text2SQL generates optimized SQL queries based on plain text and custom database schema
No description of Brickit yet.
What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
Walkthroughs and reviews on video.
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I made LEGO using Artificial Intelligence | BrickIt App Review
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How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Txt2SQL and Brickit. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking Txt2SQL since Feb 2024.
I tried to do brick sorting (because we have great detection and classification models at https://brickit.app/) It turned out to be much more complex than I expected. The biggest issue was grabbing. Typical approach for this type of task... - Source: Hacker News / almost 2 years ago
Another neat app if you have an iphone is Brickit which scans a large pile of your lego pieces and gives you build ideas. https://brickit.app/. - Source: Hacker News / almost 2 years ago
Not really a sorter, but https://brickit.app/ was mentioned on HN a while back, and does AI-based lego identification. I haven’t tried it, but it says it can show you where the pieces you need for a specific set are in a photo, so... - Source: Hacker News / over 3 years ago
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TTSQL turns text to SQL, natural language to SQL, and text to query prompts into secure SQL across major databases.
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