Ranking of the best teens Padres en la Nube

Best Behavior Rankings – Last Week

Position Name Average Score Evaluations Favorites
1 JJJ 8.14 21
2 C-111 7.71 17
3 DFP 7.67 18
4 Daredevil 7.56 16
5 Sofffff 7.56 16
6 Fran 7.47 17
7 Julia 7.39 18
8 Lulu 7.37 19
9 1234 ppu 7.29 17
10 Martina 7.18 17
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Badges Rankings – Last Week

Position Name Badges Earned Total Badges Favorites
1 C-111 4 17
2 DFP 4 18
3 Daredevil 4 16
4 JJJ 4 16
5 Sofffff 4 18
6 1234 ppu 3 18
7 Claudia 3 16
8 LFP2 3 16
9 VV 3 14
10 Adrián 2 12
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Sign up for our website and start earning points for good behavior. Compete with other teens, unlock badges, and track your progress. Join our community of positive behavior champions!

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Behaviour evaluation

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Padres en la Nube AI Chat

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Define your family

You need to complete adding your children to your profile in order to continue with the questionnaires. Please reload the page once you finish to refresh tests.

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  • radio_button_unchecked Number (0-9)
  • radio_button_unchecked Special Character (!@#$%^&*)
  • radio_button_unchecked Atleast 8 Character
Your role in the platform. This will affect the contents and applications that you will be able to use.
For privacy purposes you can type any nickname that allows you recognize your child. Birthdate will be important for us to evaluate behaviours and plan educational actions. Email will be used to send notifications to your child. We will create a child email account automatically if you don't provide one, but you can change it later.
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For privacy purposes you can type any nickname that allows you recognize your child. Birthdate will be important for us to evaluate behaviours and plan educational actions. Email will be used to send notifications to your child. We will create a child email account automatically if you don't provide one, but you can change it later.
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Bot Analysis Tool

Bot Analysis Tool

This tool analyzes existing users to identify potential bots based on various patterns and behaviors.

Analysis Criteria:

  • Suspicious email patterns (sequential, temp emails)
  • Bot-like usernames (user123, test456, etc.)
  • Empty or generic profile data
  • Multiple registrations from same IP
  • Suspicious user agent strings
  • No activity since registration

Warning: This analysis is based on patterns and may produce false positives. Always review results carefully before taking action.