diff --git a/analysis/notebooks/example.ipynb b/analysis/notebooks/example.ipynb
index 0b886efb2..dc2ccc3a8 100644
--- a/analysis/notebooks/example.ipynb
+++ b/analysis/notebooks/example.ipynb
@@ -4,8 +4,7 @@
   "metadata": {
     "colab": {
       "name": "FuzzBench custom analysis",
-      "provenance": [],
-      "collapsed_sections": []
+      "provenance": []
     },
     "kernelspec": {
       "name": "python3",
@@ -16,18 +15,16 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "ksFDTbRv4wJq",
-        "colab_type": "text"
+        "id": "ksFDTbRv4wJq"
       },
       "source": [
-        "This Colab demonstrates how to use the FuzzBench analysis library to show experiment results that might not be included in the default report. "
+        "This Colab demonstrates how to use the FuzzBench analysis library to show experiment results that might not be included in the default report."
       ]
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "jHp878kXx7o5",
-        "colab_type": "text"
+        "id": "jHp878kXx7o5"
       },
       "source": [
         "# Get the data\n",
@@ -40,21 +37,18 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "uencDT44n_rH",
-        "colab_type": "code",
-        "colab": {}
+        "id": "uencDT44n_rH"
       },
       "source": [
         "!wget https://www.fuzzbench.com/reports/sample/data.csv.gz"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "PSk0fl6zxdNL",
-        "colab_type": "text"
+        "id": "PSk0fl6zxdNL"
       },
       "source": [
         "# Get the code"
@@ -63,9 +57,7 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "jpCRiMGSnel9",
-        "colab_type": "code",
-        "colab": {}
+        "id": "jpCRiMGSnel9"
       },
       "source": [
         "# Install requirements.\n",
@@ -75,14 +67,13 @@
         "# Add fuzzbench to PYTHONPATH.\n",
         "import sys; sys.path.append('fuzzbench')"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "HAKEUNgVxKay",
-        "colab_type": "text"
+        "id": "HAKEUNgVxKay"
       },
       "source": [
         "# Experiment results"
@@ -91,9 +82,7 @@
     {
       "cell_type": "code",
       "metadata": {
-        "id": "nUKg76lKohGX",
-        "colab_type": "code",
-        "colab": {}
+        "id": "nUKg76lKohGX"
       },
       "source": [
         "import pandas\n",
@@ -106,14 +95,13 @@
         "plotter = plotting.Plotter(fuzzer_names)\n",
         "results = experiment_results.ExperimentResults(experiment_data, '.', plotter)"
       ],
-      "execution_count": 0,
+      "execution_count": null,
       "outputs": []
     },
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "F-sulHbYzv2U",
-        "colab_type": "text"
+        "id": "F-sulHbYzv2U"
       },
       "source": [
         "## Top level results"
@@ -123,7 +111,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "1_925XfIslG1",
-        "colab_type": "code",
         "outputId": "68c9731b-eac5-43f6-d61f-ca9c5ec44462",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -133,7 +120,7 @@
       "source": [
         "results.summary_table"
       ],
-      "execution_count": 4,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -613,8 +600,7 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "83M0iBha1gwi",
-        "colab_type": "text"
+        "id": "83M0iBha1gwi"
       },
       "source": [
         "### Rank by median on benchmarks, then by average *rank*\n"
@@ -624,7 +610,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "ArkdFarF1DlY",
-        "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 333
@@ -635,7 +620,7 @@
         "# The critial difference plot visualizes this ranking\n",
         "SVG(results.critical_difference_plot)"
       ],
-      "execution_count": 5,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -656,7 +641,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "3cqNjyrcs1t5",
-        "colab_type": "code",
         "outputId": "4a6197f6-0fad-41f3-e072-798f58cd3a60",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -666,7 +650,7 @@
       "source": [
         "results.rank_by_median_and_average_rank.to_frame()"
       ],
-      "execution_count": 6,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -792,8 +776,7 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "OiL_eV1o1Z5J",
-        "colab_type": "text"
+        "id": "OiL_eV1o1Z5J"
       },
       "source": [
         "### Rank by pair-wise statistical test wins on benchmarks, then by average rank\n"
@@ -803,7 +786,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "mo7zxADose5u",
-        "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 521
@@ -813,7 +795,7 @@
       "source": [
         "results.rank_by_stat_test_wins_and_average_rank.to_frame()"
       ],
-      "execution_count": 7,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -939,8 +921,7 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "FtlqJC3911wJ",
-        "colab_type": "text"
+        "id": "FtlqJC3911wJ"
       },
       "source": [
         "### Rank by median on benchmarks, then by avereage normalized score"
@@ -950,7 +931,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "vemqVRl318H-",
-        "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 521
@@ -960,7 +940,7 @@
       "source": [
         "results.rank_by_median_and_average_normalized_score.to_frame()"
       ],
-      "execution_count": 8,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1086,8 +1066,7 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "aPTUjyAU2FGW",
-        "colab_type": "text"
+        "id": "aPTUjyAU2FGW"
       },
       "source": [
         "### Rank by average rank on benchmarks, then by avereage rank"
@@ -1097,7 +1076,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "XM7fd6ib2Gjj",
-        "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 521
@@ -1107,7 +1085,7 @@
       "source": [
         "results.rank_by_average_rank_and_average_rank.to_frame()"
       ],
-      "execution_count": 9,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1233,8 +1211,7 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "q8NaP_ox2Mrz",
-        "colab_type": "text"
+        "id": "q8NaP_ox2Mrz"
       },
       "source": [
         "# Benchmark level results"
@@ -1244,7 +1221,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "iH000cvXuAlv",
-        "colab_type": "code",
         "outputId": "99ef80d0-b6e9-4bb0-daa6-568beaa56e87",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1256,7 +1232,7 @@
         "benchmarks = {b.name:b for b in results.benchmarks}\n",
         "for benchmark_name in benchmarks.keys(): print(benchmark_name)"
       ],
-      "execution_count": 10,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "stream",
@@ -1291,7 +1267,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "X62DQuHkulQk",
-        "colab_type": "code",
         "outputId": "43e27357-be2b-4845-df55-a07fb90b2196",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1302,7 +1277,7 @@
         "sqlite = benchmarks['sqlite3_ossfuzz']\n",
         "SVG(sqlite.violin_plot)"
       ],
-      "execution_count": 11,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1323,7 +1298,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "lW3X-NnAw2ak",
-        "colab_type": "code",
         "outputId": "8a3bcfe7-b75b-47cb-d717-bfde027fece5",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1333,7 +1307,7 @@
       "source": [
         "SVG(sqlite.coverage_growth_plot)"
       ],
-      "execution_count": 12,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1354,7 +1328,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "EOe1M95LwA2I",
-        "colab_type": "code",
         "outputId": "36774705-120a-4a50-9b36-9744cbb7bdae",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1364,7 +1337,7 @@
       "source": [
         "SVG(sqlite.mann_whitney_plot)"
       ],
-      "execution_count": 13,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1385,7 +1358,6 @@
       "cell_type": "code",
       "metadata": {
         "id": "1jo-5PlAv7gt",
-        "colab_type": "code",
         "outputId": "1b24b804-cd4e-481f-a2e7-c3dc437336ec",
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1396,7 +1368,7 @@
         "# Show p values\n",
         "sqlite.mann_whitney_p_values"
       ],
-      "execution_count": 14,
+      "execution_count": null,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1760,4 +1732,4 @@
       ]
     }
   ]
-}
+}
\ No newline at end of file
diff --git a/service/experiment-config.yaml b/service/experiment-config.yaml
index b9acb09f8..00443840d 100644
--- a/service/experiment-config.yaml
+++ b/service/experiment-config.yaml
@@ -3,7 +3,7 @@
 # will not work with your setup.
 
 trials: 20
-max_total_time: 82800  # 23 hours, the default time for preemptible experiments.
+max_total_time: 129600  # 36 hours, 
 cloud_project: fuzzbench
 docker_registry: gcr.io/fuzzbench
 cloud_compute_zone: us-central1-c
diff --git a/service/experiment-requests.yaml b/service/experiment-requests.yaml
index fe0efe2a2..1db5b26e4 100644
--- a/service/experiment-requests.yaml
+++ b/service/experiment-requests.yaml
@@ -20,6 +20,22 @@
 # Please add new experiment requests towards the top of this file.
 #
 
+- experiment: 2025-10-11-fuzz36-bug
+  description: ""
+  type: bug
+  fuzzers:
+    - honggfuzz 
+    - afl 
+    - aflfast 
+    - aflplusplus 
+    - aflsmart  
+    - fairfuzz 
+    - mopt 
+    - eclipser 
+    - darwin 
+    - libfuzzer 
+
+
 - experiment: 2023-06-12-aflpp
   description: "Benchmark afl++ releases and newmutation"
   fuzzers:
diff --git a/service/gcbrun_experiment.py b/service/gcbrun_experiment.py
index bbebcf1b9..ef28bc768 100644
--- a/service/gcbrun_experiment.py
+++ b/service/gcbrun_experiment.py
@@ -16,6 +16,7 @@
 """Entrypoint for gcbrun into run_experiment. This script will get the command
 from the last PR comment containing "/gcbrun" and pass it to run_experiment.py
 which will run an experiment."""
+# a dummy comment!
 
 import logging
 import os