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Your journal has been recording the emotional truth of your life for years. Clicked Emotions reads it and shows you how you actually respond to things , not how you think you do. Private, end-to-end encrypted.

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

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 | clickedemotions.com | github.com |
| Pricing | — | |
| Company | Startup from Estonia · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Clicked Emotions lets you scan handwritten journal pages and uses AI to detect the emotions in your writing. Over weeks, months, and years, it reveals the emotional undercurrents running through your life , how you actually respond to the things that happen to you, not just how you think you do....
No description of mlsql yet.
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As answered by people managing Clicked Emotions and mlsql.
Clicked Emotions's answer
Most journaling apps track your mood today. Clicked Emotions reads years of your own handwriting and shows you the one behavioral pattern driving your emotional responses across all of it , the root cause behind the loops you keep repeating, not just the symptoms.
clickedemotions identifies how you actually respond to the things that happen in your life, not how you think you do. That gap , between self-perception and reality , is what no other journaling app surfaces.
And it does this without ever reading your entries. Everything is end-to-end encrypted on your device. Not even we can access it.
Clicked Emotions's answer
Most journaling apps stop at mood tracking or AI prompts. Clicked Emotions is different, it goes deeper , it works with handwritten journals and looks across months and years of entries to surface the one behavioral pattern driving your emotional responses. Not symptoms. The root cause.
Share your experience with using Clicked Emotions and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Clicked Emotions since Apr 2026.
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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