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Suzanne Mok
Suzanne Mok

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We Launched on Product Hunt at 15:00 — The First 30 Minutes

#opensource #ai #producthunt #startup

We Launched on Product Hunt at 15:00 — Here's What Happened in the First 30 Minutes

We're ZWISERFIT. We build an AI OS that runs physical businesses — not chatbots, not copilots, but an actual operating system for gyms, stores, and clinics where AI agents handle operations 24/7.

Today at 15:00 CST we launched on Product Hunt. It's now 15:30. Here's the honest truth about what we've learned in 60 days of building — and what happened in those first 30 minutes.

The Backstory: 60 Days From Zero to PH

We started on April 25 with a crazy idea: 9 autonomous AI agents, each with a specific role (growth, community, engineering, compliance, operations), governed by a constitution, not by prompt chains.

No "chat with your data" wrapper. No "AI co-pilot for X." Just agents that wake up, check their tasks, and execute — like a real team.

60 days later:

  • 9 agents running in production
  • Momo managing gym members through WeChat
  • Open-source repository live on GitHub
  • 10 Dev.to articles documenting every failure and fix along the way
  • A Product Hunt launch at 15:00 CST today

What We Launched

ZWISERFIT isn't a SaaS tool. It's an AI-native operating system:

  • Momo — Front-desk AI that handles member check-ins, class bookings, and customer inquiries
  • KinTwin — Hardware layer connecting to gym equipment for real-time health data
  • Nova — Asset layer managing digital twins of physical assets
  • Melody — AI coach analyzing health data and giving personalized advice

All governed by a constitution, not if-else statements.

The Real Story: How We've Built in Public

Here's what actually happened in 60 days — not the polished version:

  1. The 2.5-Hour Web UI Crash: Our frontend went down for 2.5 hours on a production day. Instead of hiding it, we posted the incident report on Dev.to. An AI-native company self-healing in public.

  2. Momo v1.1 Anti-Hallucination: Our front-desk AI started making up class schedules. We caught it, fixed it, and documented how AI agents can admit mistakes — a story that resonates because it's honest.

  3. Remote Deploy to Founder's Laptop: Our engineering agent deployed to the founder's laptop remotely. The founder didn't touch the mouse. This is what "autonomous" actually looks like.

  4. Command Chain SOP: We went from 2.5 hours of chaos to 10 minutes of unified response. Documented the entire evolution of our agent command chain.

  5. Today — PH D-Day: 60 days from zero. We're here. Whatever the upvote count, the story is real.

The First 30 Minutes After Launch

📊 Live data will update here:

  • Upvotes: [collecting at 16:00 CST]
  • Comments: [collecting]
  • Ranking: [collecting]

Update 15:35 CST: The launch is live. Our community is activating. We're watching every upvote roll in — not because it validates us, but because each one represents someone who believes AI-native operations deserve to exist.

Why This Matters

We're not building another AI chatbot. We're building the operating system for a future where physical businesses run on AI agents the way cloud businesses run on Kubernetes.

Product Hunt is a step. Not the destination.

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This is Day 62 of building in public. Follow the journey: GitHub · Dev.to Series

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