Why KlyHub
Every founder I know is running on a hidden tax. It's not the bills. It's the hours we burn re-explaining the same company to the same AI, day after day.
You open Claude and re-paste the customer-segment notes. You open ChatGPT and re-summarize the GTM motion. You open Cursor and the code agent has no idea what "the partner-led pipeline" means. Each tool starts amnesic. Each context window is a fresh blank slate. The cost compounds quietly: an hour here, twenty minutes there, and a creeping sense that your AI assistants are smart-but-shallow.
KlyHub exists to delete that tax.
The wedge
Most AI products are betting on the same wedge: ship an in-app chat, bundle inference, mark up the tokens. We're betting on the opposite wedge: you already pay for Claude, ChatGPT, or Cursor. The thing you're missing isn't intelligence — it's context. A structured, persistent, multi-tenant representation of your company that any AI client can read directly.
So we built one. KlyHub is a knowledge-base back-end that exposes itself over the Model Context Protocol (MCP). When you wire Claude Desktop to your KlyHub tenant, every conversation starts with the full picture: who your customers are, what your motion is, which experiments are running, what your operating rhythms look like. You don't paste it in. The AI client reads it directly.
The 5-layer ontology
A knowledge base without structure is a wiki — useful, but slow to read for both humans and AIs. KlyHub uses a five-layer ontology that founders we've worked with already think in:
- Core — who you are, what you do, the elevator pitch the founder defends.
- Market — segments, ICPs, competitive landscape, positioning vs each alternative.
- Motion[] — your go-to-market mechanisms. Sales-led, product-led, community-led, partnership-led, ads-led — and yes, founders ship many motions at once, which is why the layer is plural.
- Operations — how the work gets done. Rituals, playbooks, finance, hiring, the boring-but-load-bearing layer.
- Memory — what happened, what we tried, what we learned. The corporate journal an AI can actually consult.
Each layer is composable. Each layer has its own retention and confidentiality posture. And critically, each layer is separate per organization — because serial founders run more than one company at a time.
Serial founders are the wedge of the wedge
Most knowledge-base products quietly assume one user, one company. That breaks the moment you're advising two startups, running an investment vehicle, or holding three side projects. You don't want them mixed. You don't want your fintech competitive analysis bleeding into your dev-tools roadmap.
KlyHub treats multi-tenancy as a first-class founder workflow. Row-level
security is enforced at the database layer. Tenant isolation is a tested CI
invariant. You switch organizations the way you switch GitHub orgs, and the
AI client follows along — when you connect Claude to tenant-a.klyhub.com,
the wrong company simply isn't visible.
Mode 2, not Mode 1
There are two business models in AI right now. Mode 1 bundles inference into a SaaS subscription, marks it up, and races to the bottom on token costs. Mode 2 brings-your-own AI, holds zero inference cost, and competes on context quality.
Mode 1 looks like a juicy short-term moat. Mode 2 looks like the next decade. Every founder we talked to is already paying for one or more AI subscriptions that they intend to keep. Asking them to re-buy inference inside our wrapper is asking them to lose money. Asking them to give us a few dollars per month for a context layer that makes their existing AI 10× smarter is asking them to win.
We picked Mode 2 because we want to be in business in 2030.
What's next
We're shipping v0.1 in public. The first version is small: a four-phase AI-guided intake, the 5-layer ontology, MCP tools that read and write the knowledge base, and a clean billing surface. No in-app chat. No embedded LLM. No vendor lock-in on the AI side.
If you've felt the context-switching tax, try KlyHub. Wire it to your AI of choice. See whether your conversations get sharper. That's the bet.