diff --git a/examples/docs-examples/quickstarts/quickstart/requestor.mjs b/examples/docs-examples/quickstarts/quickstart/requestor.mjs
new file mode 100644
index 000000000..866dfb21f
--- /dev/null
+++ b/examples/docs-examples/quickstarts/quickstart/requestor.mjs
@@ -0,0 +1,66 @@
+/**
+ * This example demonstrates how easily lease multiple machines at once.
+ */
+
+import { GolemNetwork } from "@golem-sdk/golem-js";
+import { pinoPrettyLogger } from "@golem-sdk/pino-logger";
+
+const order = {
+  demand: {
+    workload: { imageTag: "golem/alpine:latest" },
+  },
+  market: {
+    rentHours: 0.5,
+    pricing: {
+      model: "linear",
+      maxStartPrice: 0.5,
+      maxCpuPerHourPrice: 1.0,
+      maxEnvPerHourPrice: 0.5,
+    },
+  },
+};
+
+(async () => {
+  const glm = new GolemNetwork({
+    logger: pinoPrettyLogger({
+      level: "info",
+    }),
+    // api: { key: "try_golem" },
+  });
+
+  try {
+    await glm.connect();
+    const pool = await glm.manyOf({
+      // I want to have a minimum of one machine in the pool,
+      // but only a maximum of 3 machines can work at the same time
+      poolSize: { min: 1, max: 3 },
+      order,
+    });
+    // I have 5 parts of the task to perform in parallel
+    const data = [...Array(5).keys()];
+    const results = await Promise.allSettled(
+      data.map((i) =>
+        pool.withRental((rental) =>
+          rental
+            .getExeUnit()
+            .then((exe) =>
+              exe.run(
+                `echo "Part #${i} computed on provider ${exe.provider.name} with CPU:" && cat /proc/cpuinfo | grep 'model name'`,
+              ),
+            ),
+        ),
+      ),
+    );
+    results.forEach((result) => {
+      if (result.status === "fulfilled") {
+        console.log("Success:", result.value.stdout);
+      } else {
+        console.log("Failure:", result.reason);
+      }
+    });
+  } catch (err) {
+    console.error("Failed to run the example", err);
+  } finally {
+    await glm.disconnect();
+  }
+})().catch(console.error);