diff --git a/website/_harp.json b/website/_harp.json
index 488a41448..bf31be30c 100644
--- a/website/_harp.json
+++ b/website/_harp.json
@@ -55,6 +55,31 @@
             }
         },
 
+        "QUICKSTART": [
+            { "id": "os", "title": "Operating system", "options": [
+                { "id": "mac", "title": "macOS / OSX", "checked": true },
+                { "id": "windows", "title": "Windows" },
+                { "id": "linux", "title": "Linux" }]
+            },
+            { "id": "package", "title": "Package manager", "options": [
+                { "id": "pip", "title": "pip", "checked": true },
+                { "id": "conda", "title": "conda" },
+                { "id": "source", "title": "from source" }]
+            },
+            { "id": "python", "title": "Python version", "options": [
+                { "id": 2, "title": "2.x" },
+                { "id": 3, "title": "3.x", "checked": true }]
+            },
+            { "id": "config", "title": "Configuration", "multiple": true, "options": [
+                {"id": "venv", "title": "virtualenv", "help": "Use a virtual environment and install spaCy into a user directory" }]
+            },
+            { "id": "model", "title": "Models", "multiple": true, "options": [
+                { "id": "en", "title": "English", "meta": "50MB" },
+                { "id": "de", "title": "German", "meta": "645MB" },
+                { "id": "fr", "title": "French", "meta": "1.33GB" }]
+            }
+        ],
+
         "V_CSS": "1.6",
         "V_JS": "1.2",
         "DEFAULT_SYNTAX": "python",
diff --git a/website/_includes/_scripts.jade b/website/_includes/_scripts.jade
index 4c557166f..e5a863787 100644
--- a/website/_includes/_scripts.jade
+++ b/website/_includes/_scripts.jade
@@ -4,6 +4,10 @@ script(src="/assets/js/main.js?v#{V_JS}")
 script(src="/assets/js/prism.js")
 
 if SECTION == "docs"
+    if quickstart
+        script(src="/assets/js/quickstart.js")
+        script var qs = new Quickstart("#qs")
+
     script.
         ((window.gitter = {}).chat = {}).options = {
             useStyles: false,
diff --git a/website/docs/usage/_data.json b/website/docs/usage/_data.json
index bb5e0134c..a3d37b833 100644
--- a/website/docs/usage/_data.json
+++ b/website/docs/usage/_data.json
@@ -34,7 +34,8 @@
 
     "index": {
         "title": "Install spaCy",
-        "next": "models"
+        "next": "models",
+        "quickstart": true
     },
 
     "v2": {
diff --git a/website/docs/usage/index.jade b/website/docs/usage/index.jade
index 48fe6b783..7a28836b6 100644
--- a/website/docs/usage/index.jade
+++ b/website/docs/usage/index.jade
@@ -12,15 +12,29 @@ p
     |  #[a(href="#source-ubuntu") Ubuntu], #[a(href="#source-osx") macOS/OS X]
     |  and #[a(href="#source-windows") Windows] for details.
 
-+aside("Download models")
-    |  After installation you need to download a language model. For more info
-    |  and available models, see the #[+a("/docs/usage/models") docs on models].
++quickstart(QUICKSTART, "Quickstart")
+    +qs({config: 'venv', python: 2}) python -m pip install -U virtualenv
+    +qs({config: 'venv', python: 3}) python -m pip install -U venv
+    +qs({config: 'venv', python: 2}) virtualenv .env
+    +qs({config: 'venv', python: 3}) venv .env
+    +qs({config: 'venv', os: 'mac'}) source .env/bin/activate
+    +qs({config: 'venv', os: 'linux'}) source .env/bin/activate
+    +qs({config: 'venv', os: 'windows'}) .env\Scripts\activate
 
-    +code.o-no-block.
-        python -m spacy download en
+    +qs({package: 'pip'}) pip install -U spacy
+
+    +qs({package: 'conda'}) conda config --add channels conda-forge
+    +qs({package: 'conda'}) conda install spacy
+
+    +qs({package: 'source'}) git clone https://github.com/explosion/spaCy
+    +qs({package: 'source'}) cd spaCy
+    +qs({package: 'source'}) pip install -r requirements.txt
+    +qs({package: 'source'}) pip install -e .
+
+    +qs({model: 'en'}) python -m spacy download en
+    +qs({model: 'de'}) python -m spacy download de
+    +qs({model: 'fr'}) python -m spacy download fr
 
-        >>> import spacy
-        >>> nlp = spacy.load('en')
 
 +h(2, "pip") pip
     +badge("pipy")