Launchpad Studio by Gigeey

Create & Manage your very own organization of Agents

Mac

Productivity

Artificial Intelligence

Hey Product Hunt 👋 Just wanted to share Launchpad Studio, an app I built after I kind of learned to trust agents to do a lot of the heavy lifting — and just need my guidance along the way. When agents (or the semblance of them) first showed up, I wanted to micro-manage everything. From tab autocomplete, to reviewing line by line what they wrote. But once I started trusting them more, I realized the interface I was using to work with them wasn't keeping up. Each session felt like a blank slate. I kept repeating myself for every new task (even when I didn't need to). I found myself juggling multiple tabs, or stretching a single session until the 3rd or 4th compaction. Even when a session did start to feel like chatting with a colleague, that feeling never carried over to the next one. I missed the continuity. That's when the idea for Launchpad Studio was planted. Then came the explosion of skills. They made repetitive tasks bearable — but I quickly had too many, and the hit rate kept dropping. I wanted to spin up agents with specific skills and let them get really good at one thing. Multiple experts, none of them overloaded with stuff they didn't need. And when I needed them to collaborate, I could put them on a team — each strong at their thing, but working toward a shared goal. The final push was ralph, an agentic loop I leaned on heavily at my day job. I kept thinking more people should be using it. I quickly created a cli tool to help with scaffolding this for my day to day tasks. This inspired the workflows component of Launchpad Studio. Workflows let you define deterministic phases, while still letting the non-deterministic agent live inside one of those phases. That was the tipping point — I started building. So with Launchpad Studio, you can: 1. Build specialist agents — Give each one its own skills, workflows, and persistent memory. Your "code reviewer" agent is actually good at code review. Your "researcher" agent actually remembers what you researched last week. 2. Put your specialists on a team — so their individual strengths can compound on a shared task. 3. Turn processes into workflows — Releases, reviews, onboarding flows become workflows with defined phases. Key part: not every phase has to be agentic. Capture user input, pause for approval, run custom scripts — then hand back to an agent. Real pipelines, not hopes and prayers that the LLM remembers step 4. 4. Schedule tasks to run at a specific time or on a cadence. 5. Mix and match CLI tools — Claude Code, Codex, Cursor today; Gemini and direct APIs in the works. 6. Do all of this while feeling like you're talking to your buddies. It's free to download. Once the core ideas I have in mind are in, I plan to open-source it — but I want to get a few more of them landed first. Would love your feedback — especially on what kinds of specialist agents you'd build first.