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diff --git a/addons/gamification/models/gamification_karma_rank.py b/addons/gamification/models/gamification_karma_rank.py
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+++ b/addons/gamification/models/gamification_karma_rank.py
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+# -*- coding: utf-8 -*-
+# Part of Odoo. See LICENSE file for full copyright and licensing details.
+from odoo import api, fields, models
+from odoo.tools.translate import html_translate
+
+
+class KarmaRank(models.Model):
+    _name = 'gamification.karma.rank'
+    _description = 'Rank based on karma'
+    _inherit = 'image.mixin'
+    _order = 'karma_min'
+
+    name = fields.Text(string='Rank Name', translate=True, required=True)
+    description = fields.Html(string='Description', translate=html_translate, sanitize_attributes=False,)
+    description_motivational = fields.Html(
+        string='Motivational', translate=html_translate, sanitize_attributes=False,
+        help="Motivational phrase to reach this rank")
+    karma_min = fields.Integer(
+        string='Required Karma', required=True, default=1,
+        help='Minimum karma needed to reach this rank')
+    user_ids = fields.One2many('res.users', 'rank_id', string='Users', help="Users having this rank")
+    rank_users_count = fields.Integer("# Users", compute="_compute_rank_users_count")
+
+    _sql_constraints = [
+        ('karma_min_check', "CHECK( karma_min > 0 )", 'The required karma has to be above 0.')
+    ]
+
+    @api.depends('user_ids')
+    def _compute_rank_users_count(self):
+        requests_data = self.env['res.users'].read_group([('rank_id', '!=', False)], ['rank_id'], ['rank_id'])
+        requests_mapped_data = dict((data['rank_id'][0], data['rank_id_count']) for data in requests_data)
+        for rank in self:
+            rank.rank_users_count = requests_mapped_data.get(rank.id, 0)
+
+    @api.model_create_multi
+    def create(self, values_list):
+        res = super(KarmaRank, self).create(values_list)
+        users = self.env['res.users'].sudo().search([('karma', '>', 0)])
+        users._recompute_rank()
+        return res
+
+    def write(self, vals):
+        if 'karma_min' in vals:
+            previous_ranks = self.env['gamification.karma.rank'].search([], order="karma_min DESC").ids
+            low = min(vals['karma_min'], self.karma_min)
+            high = max(vals['karma_min'], self.karma_min)
+
+        res = super(KarmaRank, self).write(vals)
+
+        if 'karma_min' in vals:
+            after_ranks = self.env['gamification.karma.rank'].search([], order="karma_min DESC").ids
+            if previous_ranks != after_ranks:
+                users = self.env['res.users'].sudo().search([('karma', '>', 0)])
+            else:
+                users = self.env['res.users'].sudo().search([('karma', '>=', low), ('karma', '<=', high)])
+            users._recompute_rank()
+        return res