diff --git a/code/processes/converting-process/java/nu/marginalia/converting/processor/classifier/topic/AdHocDetector.java b/code/processes/converting-process/java/nu/marginalia/converting/processor/classifier/topic/AdHocDetector.java
new file mode 100644
index 00000000..2e52c865
--- /dev/null
+++ b/code/processes/converting-process/java/nu/marginalia/converting/processor/classifier/topic/AdHocDetector.java
@@ -0,0 +1,53 @@
+package nu.marginalia.converting.processor.classifier.topic;
+
+import ca.rmen.porterstemmer.PorterStemmer;
+import nu.marginalia.language.model.DocumentLanguageData;
+import org.apache.commons.lang3.StringUtils;
+
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import static java.lang.Math.max;
+import static java.lang.Math.sqrt;
+
+public class AdHocDetector {
+    private static final int AVG_LENGTH = 1000;
+
+    private final Map<String, Double> termValues = new HashMap<>();
+
+    public AdHocDetector(List<String> terms) {
+        PorterStemmer ps = new PorterStemmer();
+
+        for (String term : terms) {
+            String[] parts = StringUtils.split(term, ' ');
+            termValues.put(ps.stemWord(parts[0]), Double.parseDouble(parts[1]));
+        }
+    }
+
+    public double testP(DocumentLanguageData dld) {
+
+        Map<String, Double> values = new HashMap<>();
+        int count = 0;
+        for (var sentence : dld) {
+
+            for (var stemmed : sentence.stemmedWords) {
+                count++;
+
+                final Double value = termValues.get(stemmed);
+
+                if (value != null) {
+                    values.merge(stemmed, value, (a,b) -> 0.5*a + b);
+                }
+            }
+
+        }
+
+        if (count == 0) return 0.;
+
+        double lengthPenalty = sqrt(AVG_LENGTH)/sqrt(max(AVG_LENGTH, count));
+
+        return values.values().stream().mapToDouble(Double::valueOf).sum() * lengthPenalty;
+    }
+
+}
diff --git a/code/tools/experiment-runner/java/nu/marginalia/tools/ExperimentRunnerMain.java b/code/tools/experiment-runner/java/nu/marginalia/tools/ExperimentRunnerMain.java
index a7879747..d71e0f47 100644
--- a/code/tools/experiment-runner/java/nu/marginalia/tools/ExperimentRunnerMain.java
+++ b/code/tools/experiment-runner/java/nu/marginalia/tools/ExperimentRunnerMain.java
@@ -28,7 +28,7 @@ public class ExperimentRunnerMain {
 
     public static void main(String... args) throws IOException {
         if (args.length < 2) {
-            System.err.println("Expected arguments: plan.yaml experiment-name [experiment-args]");
+            System.err.println("Expected arguments: crawl-data-path experiment-name [experiment-args]");
             return;
         }
 
diff --git a/code/tools/experiment-runner/java/nu/marginalia/tools/experiments/TopicExperiment.java b/code/tools/experiment-runner/java/nu/marginalia/tools/experiments/TopicExperiment.java
index 5ea9551d..00ed63ac 100644
--- a/code/tools/experiment-runner/java/nu/marginalia/tools/experiments/TopicExperiment.java
+++ b/code/tools/experiment-runner/java/nu/marginalia/tools/experiments/TopicExperiment.java
@@ -1,25 +1,30 @@
 package nu.marginalia.tools.experiments;
 
 import com.google.inject.Inject;
+import lombok.SneakyThrows;
 import nu.marginalia.WmsaHome;
-import nu.marginalia.converting.processor.classifier.adblock.GoogleAnwersSpamDetector;
-import nu.marginalia.converting.processor.classifier.topic.RecipeDetector;
-import nu.marginalia.converting.processor.classifier.topic.TextileCraftDetector;
-import nu.marginalia.converting.processor.classifier.topic.WoodworkingDetector;
+import nu.marginalia.converting.processor.classifier.topic.AdHocDetector;
 import nu.marginalia.converting.processor.logic.dom.DomPruningFilter;
 import nu.marginalia.language.sentence.SentenceExtractor;
 import nu.marginalia.model.crawldata.CrawledDomain;
 import nu.marginalia.tools.LegacyExperiment;
 import org.jsoup.Jsoup;
 
+import java.nio.file.Files;
+import java.nio.file.Path;
+
 public class TopicExperiment extends LegacyExperiment {
 
-    RecipeDetector recipeDetector = new RecipeDetector();
-    WoodworkingDetector woodworkingDetector = new WoodworkingDetector();
-    TextileCraftDetector textileCraftDetector = new TextileCraftDetector();
-    GoogleAnwersSpamDetector spamDetector = new GoogleAnwersSpamDetector();
+    AdHocDetector detector;
 
     SentenceExtractor se = new SentenceExtractor(WmsaHome.getLanguageModels());
+    Path filename = null;
+
+    @SneakyThrows
+    public void args(String... args) {
+        filename = Path.of(args[0]);
+        detector = new AdHocDetector(Files.readAllLines(filename));
+    }
 
     @Inject
     public TopicExperiment() {
@@ -38,20 +43,11 @@ public class TopicExperiment extends LegacyExperiment {
             parsed.body().filter(new DomPruningFilter(0.5));
             var dld = se.extractSentences(parsed);
 
-            if (dld.totalNumWords() < 250)
+            if (dld.totalNumWords() < 50)
                 continue;
 
-            if (textileCraftDetector.testP(dld) > 0.3) {
-                System.out.println("textilecraft\t" + doc.url);
-            }
-            if (woodworkingDetector.testP(dld) > 0.1) {
-                System.out.println("woodworking\t" + doc.url);
-            }
-            if (recipeDetector.testP(dld) > 0.5) {
-                System.out.println("recipe\t" + doc.url);
-            }
-            if (spamDetector.testP(parsed) > 0.5) {
-                System.out.println("GA spam\t" + doc.url);
+            if (detector.testP(dld) > 0.5) {
+                System.out.println("match\t" + doc.url);
             }
 
         }