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Smart Pet Feeder for $20: Ditch $150 commercial feeders

Smart Pet Feeder for $20: Ditch $150 commercial feeders

Yes, you can build a smart pet feeder for under $25. It uses an ESP32, a continuous rotation servo, and a 3D-printed auger, driven by ESPHome and Home Assistant . You get scheduled meals, set portion sizes, a “feed now” button on your phone, and a full feeding log. Commercial feeders like PetSafe ($100 to $150) and PETLIBRO ($65 to $160) charge a premium for the same features. This guide covers the hardware, wiring, firmware, and safety steps that make the build reliable.

Monitor 3D Printer with Home Assistant Integration

Monitor 3D Printer with Home Assistant Integration

Yes, you can watch and control your 3D printer from anywhere. Just connect OctoPrint or Moonraker to Home Assistant . Both print servers expose APIs that Home Assistant can poll for live data: print progress, temperatures, camera feeds, and error states. From there you can build dashboards, fire phone alerts when a print ends, spot failures with AI camera checks, and cut power to a runaway printer through a smart plug. Setup takes about an hour once your print server runs on a Raspberry Pi. The result: a 3D printer that acts like any other smart device.

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Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4 vs Qwen 3.5 vs Llama 4: Which Open Model Should You Actually Use? (2026)

Gemma 4, Qwen 3.5, and Llama 4 compared on benchmarks, licensing, speed, and hardware so you can pick the right open model fast.

5 Open Source Repos That Make Claude Code Unstoppable

5 Open Source Repos That Make Claude Code Unstoppable

Five March 2026 repos extend Claude Code with autonomous ML, self-healing skills, GUI automation, multi-agent coordination, and Google Workspace access.

Cross-section of a translucent crystal brain threaded by red, gold, and teal attention ribbons resting on a doubly-stochastic matrix pedestal beside a guitar-tuning lab figure.

DeepSeek V4 Tech Report: 3 Tricks That Cut Compute 73%

DeepSeek V4 ships 1.6T parameters and 1M context using only 27% of V3.2's inference FLOPs. Inside the hybrid attention, mHC residuals, and Muon optimizer.

Cracked stone tablet engraved with a bulleted system prompt, four crossed-out goblin silhouettes repeated, a tiny goblin escaping with upvote-arrow sparks, a giant dollar-sign price tag, and figures refusing to step onto a glossier pedestal.

GPT 5.5 Reddit Reception: Goblins and the Cost Backlash

GPT-5.5 Reddit reception: viral goblin prompt leak, doubled pricing backlash, and 5.4 holdouts citing hallucination regressions in factual recall workflows.

What X and Reddit Users Are Saying about Claude Opus 4.7

What X and Reddit Users Are Saying about Claude Opus 4.7

How power users on X and Reddit reacted to Claude Opus 4.7: praise for agentic coding, token burn concerns, and teams' practical prompting habits.

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Qwen3.6-35B-A3B: Alibaba's Open-Weight Coding MoE

Alibaba's sparse Mixture-of-Experts: 35B total parameters, 3B active per token. Q4 quantization runs on MacBook Pro M5, matches Claude Sonnet performance.

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Alacritty vs. Kitty: Best High-Performance Linux Terminal

Compare Alacritty and Kitty terminal emulators: performance benchmarks, latency, memory use, startup time, and which fits your Linux workflow best.

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