Stride - The AI workspace that plans, designs and ships with you.
Hey SaaSHive👋
I'm Kunal, the founder of Stride.
Here's the moment that made me build it. I was "planning a feature" and counted the tabs open to do one job: a board for the tickets, a whiteboard for the diagram, a doc for the spec, a tracker for status, and three AI chats I kept re-explaining my project to from scratch. None of them talked to each other. I was the integration layer. And I was exhausted.
So we built Stride: one AI-native workspace for the whole journey from idea to shipped.
📋 Plan — a flexible board with custom stages, WIP limits, and issue tracking that bends to how your team actually works (not the other way around)
🎨 Design — architecture diagrams, solution design, and PRDs, drafted and refined with AI right next to the work
⚙️ Optimize — map, model, and mine your processes to see how work really flows and where it gets stuck
✅ Verify — close the loop on quality: define acceptance criteria, build test plans, validate that what ships actually matches what you planned, and catch gaps before they reach users
🤖 Agent — an AI teammate that lives inside your real project. It creates, updates, and moves work for you, and plugs into Claude Code and Codex over MCP
⚡ Ship — go from idea to PRD to shipped without ever leaving the app
The thing I'm proudest of: the AI isn't a bolt-on chatbot staring at a blank box. It sits inside your actual project data, so it already knows your tickets, your stages, and your context. It does the work instead of just talking about it. Less "write me a prompt," more "handle this."
We're a small team and every comment today genuinely shapes what we build next, so I'm parked in the thread all day. One question I'd love your honest answer to: what's the one tool-switch in your workflow that makes you sigh every single time? Plan to design? Spec to tickets? Reply and I'll tell you exactly how (or honestly, whether) Stride kills it for you.
Clarity AI
AI analytics that doesn't wait for you to ask the right question.
Comments (4)
Welcome Kunal! I counted my open tabs and it's embarrassingly too many:). The worst part isn't even the switching, it's re-explaining my idea to every AI tool from scratch when building on it. Excited to see Stride grow here!
Thank you for the warm welcome Olga! We're excited to be in SaaS Hive.
I am using Kiro IDE by AWS team and I trying to fine tune my process so that the agent is always aware of my initial functional and business requirements, so that when it makes changes, it does not cause regression. I often include a phrase in my prompt "if something is not clear, please ask me a question", and "Double-check that this change does not cause regression."... Because, often, to make the requested change work, AI agent will update test cases just to make them pass. But those test cases where written with the business requirements in mind.
"I was the integration layer, and I was exhausted" is painfully relatable. I hit the same wall, just across three separate businesses instead of one project: every tool had its own context and I was the one manually carrying information between them every morning. That's basically why FounderFlow exists on the business-ops side of the same problem you're solving on the build side. To answer your question: for me it was always spec-to-status, i.e. writing what needs to happen, then manually going back later to check whether it actually did. Curious how Stride's Agent decides when it's safe to just move/update work on its own versus flagging something for a human to confirm first?
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