diff --git a/www/blog/authors.yml b/www/blog/authors.yml
index e99a6be30..476e76bf7 100644
--- a/www/blog/authors.yml
+++ b/www/blog/authors.yml
@@ -3,6 +3,11 @@ jverlaguet:
   title: SkipLabs Founder & CEO
   url: https://x.com/JulienVerlaguet
 
+jberdine:
+  name: Josh Berdine
+  title: Senior Engineer
+  url: https://jberdine.github.io
+
 skiplabsteam:
   name: SkipLabs Team
 
diff --git a/www/blog/skip_v_orm.md b/www/blog/skip_v_orm.md
new file mode 100644
index 000000000..da68f46fe
--- /dev/null
+++ b/www/blog/skip_v_orm.md
@@ -0,0 +1,74 @@
+---
+title: Skip and Traditional ORMs Contrasted
+description: Why Reactive Programming with Skip Beats Traditional ORMs
+slug: skip-v-orm
+date: 2025
+authors: jberdine, jverlaguet
+---
+
+# Why Reactive Programming with Skip Beats Traditional ORMs
+
+When building data-driven applications developers often turn to ORMs (Object-Relational Mappers) to interact with databases using familiar object-oriented paradigms.
+But ORMs come with tradeoffs—inflexible caching, inconsistency issues, and unpredictable or untunable performance due to hidden database interactions.
+Enter *Skip*, a reactive programming framework designed to eliminate those issues from the ground up.
+
+In this post, we will explore how Skip rethinks data flow and object access by treating everything as part of a *reactive computation graph*, and why this makes traditional ORM problems virtually disappear.
+
+<!-- truncate -->
+
+## Skip: A Framework for Reactive Computation
+
+At its core, *Skip is a reactive programming framework* that allows developers to define *collections* and *mappers* / *transformations* over those collections.
+These transformations are *stateless and deterministic*, making the system easier to reason about.
+The collections and mappers form a *reactive computation graph* where the collections are the *vertices* and the mappers are the *edges*.
+Crucially, the Skip framework ensures that the outputs update automatically as inputs change.
+
+Interestingly, Skip supports *cross-language transformations*.
+For instance, you can define a mapper in Java, even if the rest of the graph is implemented in another language.
+To do that, Skip provides a mechanism to define schemas and auto-generates proxies, ensuring the Java side can safely access data without compromising consistency or immutability.
+
+The generating-proxies-from-schemas aspect may seem reminiscent of traditional ORMs, but the core design of the Skip framework avoids the major issues with ORMs.
+
+## The Pitfalls of ORMs
+
+ORMs are popular because they make databases feel like simple object hierarchies.
+But under the hood they introduce two major problems:
+
+### 1. Caching:
+
+To avoid repeated expensive database accesses, and to avoid having multiple objects which copy / proxy the same data from the database, ORMs use caching.
+This creates a risk of *stale or inconsistent data*, as cached objects may not reflect the current state of the database.
+
+### 2. Mutability and Side Effects:
+
+ORM objects are often mutable, and it’s not always clear when changes are persisted.
+This leads to challenges with transactionality, especially when updating multiple related objects.
+Performance can also suffer, as innocuous object updates may trigger unintended writes.
+Furthermore, if an ORM avoids the heavy-weight caching required to ensure that there is a single object for each one in the database, then it ends up allowing multiple objects copying the data in the database, leading to inconsistencies when modified.
+
+## How Skip Solves These Problems
+
+### 1. No More Cache Inconsistencies
+
+In Skip, *everything is reactive*, including the layers between the database and the business logic.
+This means that data is *automatically updated* across all parts of the system.
+When you access an object in Java, it’s already in sync with the rest of the system—*no manual cache invalidation required*.
+
+This is particularly useful when reshaping raw database data into more usable forms (like joining user and address tables).
+In traditional systems, this transformation is expensive and error-prone.
+In Skip, the transformations are reactive and automatically consistent.
+
+### 2. Immutable, Ephemeral Handles
+
+Skip passes data between languages using *handles*—lightweight, ephemeral proxies that you can read but cannot store or mutate.
+Trying to store or modify a handle outside its intended scope results in an error.
+This enforces a *clear separation between read and write paths*, eliminating side effects due to accidental mutations.
+
+Unlike ORMs, where writing data often feels implicit and ambiguous, Skip enforces *explicit, separate write logic*, leading to more robust and predictable code.
+
+## Final Thoughts
+
+The problems commonly associated with ORMs—caching, mutability, inconsistent states—don’t exist in a reactive system like Skip.
+With *automatic consistency, immutability, and cross-language support*, Skip enables developers to build complex systems without the fragility of traditional data access layers.
+
+Reactive programming with Skip doesn’t just solve old problems—it encourages a new, cleaner way of thinking about how data flows through your application.