Unbundling the Product: The Schoolze Labs Pivot
The future belongs to those who know when to unbundle and when to kill to evolve.
In November 2024, I started a community at Hellodesk called the Founders Club. It wasn't intended to be a grand movement; it was a simple gathering of local Monterey founders who met every Wednesday to talk shop. At first, the conversations were about the typical 2010s-era SaaS struggles, customer acquisition, churn, and feature roadmaps.
But as the weeks passed, the gravity of the room shifted. By December, every whiteboard session inevitably turned toward the same "knockout" scenario: the realization that the legacy products we were spending our lives maintaining were about to be steamrolled by AI-native newcomers. We weren't just founders anymore; we were a close-knit group of friends watching the structural foundations of software shift in real-time. This room, the precursor to what would become our AI Hub, became the laboratory where I finally accepted a brutal truth: I had to kill the Schoolze I had built to make room for the system that needed to exist.
The Original Assumption: The Bundling Fallacy
The early vision of Schoolze was rooted in a common startup myth: that a "complete solution" is always better than a specific tool. We built a platform that tried to mirror institutional thinking. Since schools have messaging, fundraising, and portfolios, we believed our software should bundle all of those things together.
Inside the Founders Club, we called this the "Complete Solution Fallacy." We were building digital mirrors of old systems. But product thinking that mirrors institutional thinking eventually inherits the same bureaucracy. We had bundled workflows, manual, human-driven tasks, into a single interface. We thought we were providing value through variety, but we were actually creating a Complexity Trap. By late 2024, I realized that you cannot simply "add AI" to a legacy monolith and win. AI does not respect product silos; it thrives on modularity.
The Friction: Churn as a System Signal
The cracks in this bundled model were manifest in our metrics. We had 11 features, and with each new addition, the UX became "thicker." This created a Mental Mess for the user. Instead of solving a problem, the software became a task in itself. Churn wasn't happening because we lacked features; it was happening because the features we had were "zombie" relics of a pre-AI world.
The adoption barriers were high because the incentive was misaligned. We were asking users to manage a system rather than exert their intent. In the Wednesday night brainstorms at Hellodesk, I saw this pattern everywhere. We were all over-engineering our "thickness" to avoid the vulnerability of being simple. I realized that the real asset was never the "school app." The asset was the underlying Primitives.
The Insight: Unbundling into Primitives
In any organized group, whether it’s a school, a non-profit, or a creator community, the basic building blocks are the same: Accounts, Groups, Members, Campaigns, Payments, and Messaging. These are the "primitives" of human organization. When you wrap these primitives in a "school-only" frame, you limit their intelligence.
Unbundling the product means stripping away the vertical framing and exposing these primitives as modular "capability blocks." By doing this, you move from building a specific tool to building a System Factory. In this new model, Schoolze Labs is not a product; it is a base architecture, an infrastructure layer upon which multiple verticalized products can be spun up in weeks.
The 2025 Roadmap: The AI-Native Pivot
This realization transformed my roadmap for 2025. I decided to rewrite the Schoolze features from the ground up as AI-first. If a feature only existed to help a human "manage" a process, it was cut. If it could be turned into an Agentic Primitive, it was kept.
This architecture allowed for a "knockout" strategy:
RaiseAI: By unbundling the fundraising engine, I conceptualized an AI-native platform for groups.
Newslatte: Using the same messaging primitives to build a high-leverage newsletter engine.
GhostCMO: Integrating marketing strategy agents directly into the infrastructure layer.
I even applied this to my own development stack. By leveraging AI-native programming rather than hiring a large team, I could maintain this "thin" but powerful infrastructure as a solo architect. This is the Agentic Deep Move: using AI to not only build the product but to be the product's operational core.
The Larger Thesis: Architecture as Strategy
The 2010s were defined by companies that bundled UX around workflows. The 2020s will be defined by those who unbundle those workflows into primitives and orchestrate them with AI.
The Founders Club in Monterey eventually transitioned into the AI Hub because we realized that "Founder Knowledge" was also being unbundled. We didn't need to meet to talk about "management" anymore; we met to talk about Architecting Sovereignty. The winners of this era will not be the most feature-rich; they will be the most structurally clean.
By unbundling Schoolze into Schoolze Labs, I wasn't downsizing; I was clarifying the intent of the system. I was moving from tool-building to system-building. I was finally building for a world where the cost of making is zero, and the only thing that matters is the clarity of your architecture.
The Forward View
Architecture is the new strategy. As I look toward 2025 and 2026, the Schoolze Labs pivot is the foundation for everything that follows. The Wednesday nights in Monterey taught me that the "Mental Mess" isn't just a product problem, it's a mindset problem.
We are entering a period where Permissionless Leverage is a functional reality. By reducing the cost of making to near zero and stripping away the bloat of bundled abstractions, we are restoring the right to build. The future belongs to the Sovereign Builder who understands that to scale, you must first unbundle.
About the Author
Avneesh Kumar is the founder of Permissionless Academy — a modern learning platform built on the belief that real skills come from building real things, not collecting credentials.
He spent a decade building inside the education system before concluding that meaningful change has to come from outside it. Today he builds AI-native products through Schoolze Labs, Monterey AI Labs, and a handful of other ventures — all running without a traditional team.
He writes about education, agency, and building leverage in the age of AI.