23 apps before lunch and I still didn't finish my main task
Hey PH community, I counted yesterday. 23 different apps before noon. Slack, Notion, ChatGPT, Figma, Google Sheets, email, Trello... and about 15 Chrome tabs I never closed from yesterday. By lunch I was exhausted and my actual work was still sitting there unfinished. The thing is, we all do this. We've normalized digital whack-a-mole. We have AI that can generate images and write code in seconds. But somehow we're still the ones doing all the clicking and switching. The AI just sits in a chat window waiting for us to feed it context. That felt backwards. So we built HappyCapy—basically a computer where the AI can actually DO stuff, not just tell you what to do. Generate images, edit docs, crunch numbers, build sites. Whatever. You just describe what you need and it handles the tool-hopping. We're not replacing your main computer. But for a lot of tasks, it's way faster to just delegate to an agent that gets it done. It's live now. Still rough in places. But if you're tired of being an unpaid assistant to your own AI assistant, it might click. Curious: how many apps are you juggling right now? What's driving you most crazy about it?
Replies
I feel this! Sometimes AI efficiency feels like an illusion because the baseline for productivity has simply shifted up for everyone. Plus, the mental load of learning new tools and updates daily is a job in itself!
It reminds me of the Red Queen's race in Through the Looking-Glass: It takes all the running you can do, to keep in the same place. An that's exactly how I feel every thay with the FOMO, that I didn't notice or try some new tool or missed the update.
We are running faster with AI just to maintain the status quo. 23 apps sounds exhausting — curious if consolidation is the answer or if we just need better delegation?"
Happycapy
@valeriia_kuna The Red Queen's race comparison is perfect! That's exactly the feeling. You're right though - just consolidating tools doesn't fix it. If I have 23 tools in one dashboard I'm still the one connecting everything manually. The thing that felt different was the delegation angle. Like instead of thinking "okay I need ChatGPT for this part, then Midjourney for that part," you just... describe the end result? And something figures out which models to use. Not sure it solves FOMO though lol. Now I have FOMO about whether I'm delegating to the right thing. But yeah the mental load of keeping up with updates is insane. It genuinely feels like a second job just staying current on tools.
@peng_wu1
Haha, exactly! We just traded one type of FOMO for another. 😅
Happycapy
@valeriia_kuna lol true! Though I will say - the reduced context switching part is actually real. Being able to describe what you need and have it handle the execution across tools does save a lot of mental energy. Still early days but that part's been nice so far.
Hi @peng_wu1 congrats, love it that you all jumped on the opportunity to create an easier to use and safer OpenClaw!
Could you say more about the sandbox and security guardrails? Are you creating a separate filesystem inside the sandbox so the laptop's original filesystem is not impacted? And the browser and terminal run inside the sandbox? How do you manage internet access?
Or point me to a doc if you have that written up?
Happycapy
@mbarbanson Thanks Monique! You are asking exactly the right questions. 🤓
Filesystem: Yes, 100%. We spin up an isolated cloud container with its own ephemeral filesystem. The agent has zero access to your laptop's drive or OS (unless you explicitly upload a file). Your local machine remains pristine. 🛡️
Execution: The terminal, the headless browser, and the agent logic all run inside that remote sandbox. Your local browser is just a "window" to view and control it.
Internet: The sandbox has outbound access (so the agent can browse the web, npm install, etc.), but is network-isolated from other sessions and internal infrastructure.
We are working on a detailed security blog post, but hopefully, this gives you the technical confidence to jump in! 🚀
Wait, so an AI that does pretty much everything? Very curious how it works cos this sounds amazing
Does it combine models/integrations from other tools or does everything happen within your own product's capabilities?
Happycapy
@ladefalobi Yep! It's basically Claude Code with full access to a sandboxed computer (filesystem, terminal, browser, etc). So it can pull in whatever tools or APIs it needs—generate images, run code, fetch data, edit files. Not limited to one model or one capability. You just describe the task and it handles the rest. The whole point is to stop being the middleman between the AI and the tools it needs. Let it actually click the buttons for you.