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

Typefully
Hypefury
Ugly Duckling
Fedica
ilo
Buffer
Hivemark
Magic Sidebar is the best browser extension for Twitter. Use it today and unlock insights you never knew about, communicate better with your audience, and build strong 1:1 relationships. Mobile apps for iOS and Android are also available!

Which is more popular?
Based on our record, BlackMagic.so should be more popular than mlsql. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | blackmagic.so |
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In their own words, as submitted to SaaSHub.


No description of mlsql yet.
✅ Powerful Real-Time Analytics ✅ Personal Twitter CRM ✅ Audience Growth Tools ✅ Scheduling & Publishing
What each product offers, as listed by its team.


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No analysis of BlackMagic.so yet.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using mlsql and BlackMagic.so. For example, how are they different and which one is better?
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
I use a great tool called Black Magic which shows me the most engaging hours of the day:. - Source: dev.to / over 3 years ago
Https://blackmagic.so - Uncover information you didn't know about. Improve your audience communication. Develop solid one-on-one relationships. Source: over 4 years ago
I found this project that updates a user's Twitter banner in real time with their recent followers. Since I have an idea for something similar I was wondering what the best way to implement something like this would be? Source: over 4 years ago
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