Which is more popular?
Based on our record, mlsql should be more popular than Survicate. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | survicate.com | github.com |
| Pricing | — | |
| Company | Startup from Poland · 100 - 249 employees | — |
| Listed in |
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 Survicate yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
What types of surveys can be sent with Survicate? [Video tutorial]
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How often each product is chosen within a category, 0–100% relative to the other.
Share your experience with using Survicate and mlsql. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.
Survicate can help you set up surveys and feedback mechanisms that target specific groups within your audience.
In terms of differences, Survicate is clearly more advanced as it has website, in-product, and mobile app surveys, with all sorts of useful integrations. Survicate also has a Feedback hub for monitoring user feedback...
Using Survicate is the fastest way to get continuous customer insights. Automate surveys like NPS and CSAT and use the recurring feature. That way, you don’t have to keep asking customers to fill out surveys or do...
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Recommendations tracked on public social media and blogs since March 2021.
Using an online survey tool similar to Survicate, you can go through the detailed investigation, using all needed filters, and obtain the detailer report for use in the future. - Source: dev.to / about 5 years 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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