diff --git a/website/meta/universe.json b/website/meta/universe.json
index a6e407e93..01ed91c67 100644
--- a/website/meta/universe.json
+++ b/website/meta/universe.json
@@ -1120,6 +1120,46 @@
             "category": ["pipeline", "models", "training"],
             "tags": ["pipeline", "models", "transformers"]
         },
+        {
+            "id": "asent",
+            "title": "Asent",
+            "slogan": "Fast, flexible and transparent sentiment analysis",
+            "description": "Asent is a rule-based sentiment analysis library for Python made using spaCy. It is inspired by VADER, but uses a more modular ruleset, that allows the user to change e.g. the method for finding negations. Furthermore it includes visualisers to visualize the model predictions, making the model easily interpretable.",
+            "github": "kennethenevoldsen/asent",
+            "pip": "aseny",
+            "code_example": [
+                "import spacy",
+                "import asent",
+                "",
+                "# load spacy pipeline",
+                "nlp = spacy.blank('en')",
+                "nlp.add_pipe('sentencizer')",
+                "",
+                "# add the rule-based sentiment model",
+                "nlp.add_pipe('asent_en_v1')",
+                "",
+                "# try an example",
+                "text = 'I am not very happy, but I am also not especially sad'",
+                "doc = nlp(text)",
+                "",
+                "# print polarity of document, scaled to be between -1, and 1",
+                "print(doc._.polarity)",
+                "# neg=0.0 neu=0.631 pos=0.369 compound=0.7526",
+                "",
+                "# Naturally, a simple score can be quite unsatisfying, thus Asent implements a series of visualizer to interpret the results:",
+                "asent.visualize(doc, style='prediction')",
+                " # or",
+                "asent.visualize(doc[:5], style='analysis')"
+            ],
+            "thumb": "https://github.com/KennethEnevoldsen/asent/raw/main/docs/img/logo_black_font.png?raw=true",
+            "author": "Kenneth Enevoldsen",
+            "author_links": {
+                "github": "KennethEnevoldsen",
+                "website": "https://www.kennethenevoldsen.com"
+            },
+            "category": ["pipeline", "models"],
+            "tags": ["pipeline", "models", "sentiment"]
+        },
         {
             "id": "textdescriptives",
             "title": "TextDescriptives",