I burned out building my 15th production app.

Not from the code. Not from the complexity. From everything around the code.

GitHub notifications. Email threads about bug reports. Pull requests waiting for review. Slack messages asking about deployment status. Linear tasks that needed updating. Context scattered across six different tools, each demanding attention, each pulling me away from the thing I actually wanted to do: build.

I'm 15. I've built over 20 production applications in the last eight months. I have 250+ GitHub followers and manage open-source projects with real collaborators. And with every project, the problem got worse.

Remember When We Didn't Need ChatGPT?

When I started asking developers about this problem, responses split perfectly down the middle.

Half of them immediately got it. "I'd pay $50 for that," they said. They felt the pain.

The other half dismissed it. "I don't need that. I have my setup optimized."

But we didn't know we needed ChatGPT before it existed. We didn't know we needed smartphones before the iPhone. We adapt to our tools, optimize around their limitations, and convince ourselves the friction is normal.

It's not normal. It's just all we've known.

The Truth About Your Stack

Linear is beautiful. Notion is powerful. GitHub is essential. Slack keeps teams connected.

But Linear is just a fancy task manager. Notion databases steal hours while making you feel productive. GitHub is version control, not a workspace. Slack is where context goes to die.

None of these tools were built with AI at their core. They're adding AI as afterthoughts (a chatbot here, a summary there). Wrappers around existing models, bolted onto existing paradigms.

What if AI wasn't a feature, but the foundation?

The Real Revolution

The real revolution isn't chat. It's agents working in the background. Agents that organize your pull requests while you sleep. Agents that draft email responses and ask for confirmation instead of interrupting your flow. Agents that understand your entire project structure (not just the code, but the conversations, the decisions, the context) and help you move forward without needing to be prompted.

Most optimization is surface level. We tweak our IDE settings, customize our terminal, build elaborate workflows. But we're still context-switching 50 times a day. We're still manually connecting dots between systems that should talk to each other.

How It Started

Managing collaborators on open-source projects became a bottleneck. Coordinating across tools took more time than shipping features. Every project deepened the problem.

The name Ryva comes from "one that moves" (agility, flow, momentum). It also means connection, joining things that should be together.

Not another project management tool. Not another AI assistant you have to prompt. A workspace that knows your entire development context (repositories, communications, tasks, decisions) and uses AI to eliminate the friction between thinking and shipping.

If Ryva succeeds, developers in 2026 won't spend half their day in tools that coordinate other tools. They'll wake up to a workspace that's already organized their PRs by priority, drafted responses to stakeholder questions, and identified the critical path for the day. Big teams will ship without friction. Solo developers won't burn out managing meta-work.

Development speed improves by 50%. Developer sanity improves by more.

The Future Starts Now

Every tool we use today was built for the pre-AI era. We're trying to retrofit intelligence onto systems designed for manual coordination. It doesn't work.

Ryva is what happens when you build for the AI-native era from day one. When you ask "what if everything just worked together?" instead of "how do we connect these five tools?"

The revolution isn't coming. It's starting. Join the waitlist at ryva.dev