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

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Prompt organization and AI enhancement. Engineer prompts with 1 click.
Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | promptaa.com |
| Pricing | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Promptaa will organize your prompts, and provides 1 click prompt engineering. Engineer your prompts into enhanced plain text or XML prompts, increasing AI response accuracy, saving you time while making you more productive. Share and re-use saved prompts, organize everything into a library with...
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As answered by people managing mlsql and Promptaa.
Promptaa's answer:
We use serverless next.js
Promptaa's answer:
Promptaa is an AI-powered tool for content creators, marketing, prompt engineers, and teams to organize, optimize, and collaborate on high-performing prompts, boosting productivity and consistency across AI workflows.
Promptaa's answer:
We provide a user friendly interface that allows for quick prompt creation, enhancement, and organization. We also provide XML prompt engineering, which is the next frontier for accurate AI responses.
Promptaa's answer:
Choose Promptaa for a user friendly platform, and to structure and engineer your prompts into context rich and XML structured enhancements.
Promptaa's answer:
I needed a quick and easy way to manage reusable prompts and to engineer and enhance simple prompts into context rich instructions with role-playing, constraints, examples, and steps in 1 click.
Promptaa's answer:
Blue Agilis, Illy cafe, and over 1,000 users trust us for prompt engineering and enhancement.
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Recommendations tracked on public social media and blogs since March 2021.


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
Tracking Promptaa since May 2025.
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