From de54f4988f8a6d4f73dd305d2dbb802e2f1b9fc5 Mon Sep 17 00:00:00 2001
From: Duc Trung Le <leductrungxf@gmail.com>
Date: Tue, 19 May 2026 09:12:24 +0200
Subject: [PATCH] typo

---
 src/pages/index.tsx        | 2 +-
 src/pages/notebooklink.tsx | 4 ++--
 src/pages/services.tsx     | 6 +++---
 3 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/src/pages/index.tsx b/src/pages/index.tsx
index 8b0a7f9d..f87e6a88 100644
--- a/src/pages/index.tsx
+++ b/src/pages/index.tsx
@@ -75,7 +75,7 @@ function HomeContent() {
             <Card bg="transparent" className={styles.topics_card}>
               <div className={styles.topics_header}>Custom Engineering</div>
               <p>We build tools and platforms at the frontier of open-source scientific computing.</p>
-              <p>Recent examples: JupyterGIS for a large public organisations, JupyterCAD for a big airospace engineering firm, notebook.link. What we build goes back upstream wherever possible.</p>
+              <p>Recent examples: JupyterGIS for a large public organisation, JupyterCAD for a big aerospace engineering firm, notebook.link. What we build goes back upstream wherever possible.</p>
             </Card>
           </li>
           <li>
diff --git a/src/pages/notebooklink.tsx b/src/pages/notebooklink.tsx
index 1f0acc03..ae7182f7 100644
--- a/src/pages/notebooklink.tsx
+++ b/src/pages/notebooklink.tsx
@@ -55,7 +55,7 @@ function NotebookLinkContent() {
         <CardGrid cols={3}>
           <li>
             <Card bg="transparent">
-              <div className={styles.feature_title}>hundres of thousands of students</div>
+              <div className={styles.feature_title}>hundreds of thousands of students</div>
               <p>JupyterLite — the same engine powering notebook.link — has been tested with hundreds of thousands of users.</p>
             </Card>
           </li>
@@ -104,7 +104,7 @@ function NotebookLinkContent() {
           <li>
             <Card>
               <div className={styles.feature_title}>Agentic AI</div>
-              <p>Let AI agents access compute environments and run real calculations right in the browser, like claude code but sandboxed, safe and available on the fly.</p>
+              <p>Let AI agents access compute environments and run real calculations right in the browser, like Claude Code but sandboxed, safe and available on the fly.</p>
             </Card>
           </li>
         </CardGrid>
diff --git a/src/pages/services.tsx b/src/pages/services.tsx
index 839b5cdc..725c33d5 100644
--- a/src/pages/services.tsx
+++ b/src/pages/services.tsx
@@ -20,7 +20,7 @@ function ServicesContent() {
         <h1>Hire the team that built the tools you depend on</h1>
         <p className="page-tagline">Direct access to the upstream maintainers, no intermediaries.</p>
         <p>
-          Major organisations work with us because there is no shortcut to to deep expertise.
+          Major organisations work with us because there is no shortcut to deep expertise.
           Whether you need a support retainer, a custom feature, or a long-term engineering partner — you talk to the people who wrote the code.
           No account managers, no escalation queues.
         </p>
@@ -45,11 +45,11 @@ function ServicesContent() {
         <h2><span className="highlight">Support</span> Retainer</h2>
         <p>
           A QuantStack support retainer gives you direct access to the upstream maintainers.
-          We triage issues, review pull requests or give feedback on feasibility, implement pocs and full features and shepherd them until they are merged.
+          We triage issues, review pull requests or give feedback on feasibility, implement POCs and full features and shepherd them until they are merged.
           We also advise on your architecture, and take ownership of problems distracting your team.
         </p>
         <p>
-          Our clients include many of the worlds largest enterprises. We have
+          Our clients include many of the world's largest enterprises. We have
           supported financial firms running Jupyter at scale, aerospace engineers building
           domain-specific platforms, and research institutions deploying open-source
           infrastructure for thousands of users.