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A father-son hobby project bridging retro nostalgia with modern tech. Pixel-Pets features a multi-device ecosystem (Muffin, Goo-Goo, Pip) with real-time weather sync and AI-assisted firmware. 100% of the code was written by AI (Claude) under our direction. Includes offline voice control, camera features, and an ESP-NOW treat-thrower accessory.
I'm Marcel, CIO at JAM Software. I'm excited to share a personal hobby project I built with my 10-year-old son, Justus: Pixel-Pets.
We wanted to see how far we could push AI-assisted coding in the embedded world. 100% of the firmware was written by Claude Opus 4.7 under our guidance. Justus acted as the Product Owner and Chief Designer, while Claude functioned as his "coding mentor" for C++.
Highlights:
Edge-AI & Local LLM: The "Muffin" variant runs a Local LLM directly on the M5Stack CoreS3—no cloud, 100% private.
World-Aware: Pets pull real weather and moon phases via IP geolocation to reflect the real world on their screens.
Hardware Ecosystem: Works on CoreS3, Core2, and StickC PLUS2.
Use the "Pip" accessory to "throw" treats wirelessly between devices.
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About Pixel-Pets on Product Hunt
“AI-coded, world-aware virtual pet ecosystem”
Pixel-Pets was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #160 on the daily leaderboard. A father-son hobby project bridging retro nostalgia with modern tech. Pixel-Pets features a multi-device ecosystem (Muffin, Goo-Goo, Pip) with real-time weather sync and AI-assisted firmware. 100% of the code was written by AI (Claude) under our direction. Includes offline voice control, camera features, and an ESP-NOW treat-thrower accessory.
Pixel-Pets was featured in Open Source (68.4k followers), Hardware (11.4k followers), Education (78.5k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 63.3k products, making this a competitive space to launch in.
Who hunted Pixel-Pets?
Pixel-Pets was hunted by Marcel Dütscher. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Pixel-Pets stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Marcel Dütscher
Hi Product Hunt!
I'm Marcel, CIO at JAM Software. I'm excited to share a personal hobby project I built with my 10-year-old son, Justus: Pixel-Pets.
We wanted to see how far we could push AI-assisted coding in the embedded world. 100% of the firmware was written by Claude Opus 4.7 under our guidance. Justus acted as the Product Owner and Chief Designer, while Claude functioned as his "coding mentor" for C++.
Highlights:
Edge-AI & Local LLM: The "Muffin" variant runs a Local LLM directly on the M5Stack CoreS3—no cloud, 100% private.
World-Aware: Pets pull real weather and moon phases via IP geolocation to reflect the real world on their screens.
Hardware Ecosystem: Works on CoreS3, Core2, and StickC PLUS2.
Use the "Pip" accessory to "throw" treats wirelessly between devices.
📺 The Deep Dive Story:
If you want to see how a 10-year-old and an AI built a local hardware ecosystem from scratch, check out our 7-minute story here: https://www.youtube.com/watch?v=2V9dgzdXCR8&t=7s
It’s 100% Open Source. Justus is closely monitoring the GitHub stars today—if you like what we’ve built, a star would absolutely make his day!
We're here all day to answer your questions about AI-mentorship, M5Stack, or Edge-AI!