🧠 ClawdMeter Token Dashboard

Clawdmeter is a desk dashboard built around the ESP32-S3 and the Waveshare ESP32-S3-Touch-AMOLED-2.16 board. It monitors Claude Code token usage in real time on a 2.16-inch AMOLED display, helping users keep track of their limits through animated visuals and live statistics.

Features of the project:
➡️ESP32-S3-powered dashboard with a 480×480 AMOLED touchscreen display
➡️Real-time Claude Code token usage monitoring with animated pixel-art visuals
➡️Bluetooth LE connectivity using the NimBLE stack
➡️Built-in BLE HID keyboard support for Claude Code shortcuts
➡️Firmware written in C with 🇳🇱 LVGL-based graphical interface
➡️Portable hardware with WiFi, Bluetooth 5.0, microSD slot, IMU, microphones, and optional battery support
➡️Easily portable firmware thanks to clean code structure and resolution-independent constants

Clawdmeter is an interesting project for developers, makers, and Claude Code power users who want a dedicated physical monitor for tracking AI usage. Since it relies mostly on firmware and off-the-shelf hardware, it’s also a practical and approachable ESP32 project for embedded and UI development enthusiasts.

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#projects #esp32 #claude

👩‍💻 Understanding the Linux Kernel: The Linux Kernel Startup

This article explains how the Linux kernel starts up after a computer is powered on, focusing on the x86_64 architecture. It walks through the boot process step by step, from the bootloader handing control to the kernel to the early initialization of memory, hardware, and CPU features.

Complex topics such as page tables, interrupts, memory encryption, KASLR, and microcode updates are explained in simple and accessible language with creative examples, like comparing the boot process to setting up a space colony.

The article is written in a beginner-friendly style, making difficult low-level operating system concepts easier to understand and more interesting to read. Overall, it serves as an engaging introduction to what happens behind the scenes when Linux boots up and prepares the system to run.

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#articles #linux

📺 The current state of LLMs in software engineering

Great video which summarizes of what's going on in software engineering when it comes to AI. As a someone who works as a software engineer himself and has been actively using LLMs for the past few years, I can say that they are nowhere close to replacing software engineers.

⛓ https://youtu.be/zfYsSFY4l18

#video #programming

📸 Optocam Zero - Raspberry Pi Zero based compact digital camera

Optocam Zero is a compact DIY digital camera built around a Raspberry Pi Zero and off-the-shelf electronic components. It is designed as a playful, easy-to-build device inspired by toy cameras, with an emphasis on portability and simplicity. The housing is fully 3D printable, making it accessible for makers to reproduce and customize.

Features of the project:
➡️Pocket-sized and easy to carry
➡️Simple, intuitive controls
➡️Autofocus camera with 2592×2592 JPEG capture
➡️1.4-inch LCD preview screen
➡️8 photo filters and GIF recording
➡️Fast wireless image transfer
➡️USB-C charging with swappable battery
➡️Fully 3D-printed enclosure

In summary, Optocam Zero combines the flexibility of DIY electronics with the charm of a compact, toy-like camera. It is best suited for those who want a customizable, portable device that emphasizes fun and experimentation over professional-grade photography.

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#projects #raspberry

💻️ Nvidia quietly increases Jetson prices by up to 101%

NVIDIA has raised prices across its Jetson modules and developer kits by up to 101%, following earlier product discontinuations linked to rising LPDDR4 memory costs.

The largest increases affect the Jetson Nano module (from $99 to $199) and the Jetson AGX Orin 32GB module (from $899 to $1,799). The popular Jetson Orin Nano Super Developer Kit has also increased from $249 to $399. The new prices are reflected on NVIDIA's store and most retailers, though some backordered listings may still show the old pricing.

NVIDIA has not provided an official explanation for the increases, but industry observers believe they are driven by rising DRAM memory costs and ongoing supply constraints. The company updated the pricing on its official website without an announcement, leaving it unclear whether the higher prices are a temporary response to market conditions or a permanent change to the Jetson product lineup.

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#news #nvidia

🧑‍🚀 ESP32-based Plane Radar

Plane Radar is an open-source ESP32 firmware that transforms an ESP32-C3 with a 1.28-inch round display into a live ADS-B aircraft radar. It visualizes nearby aircraft in a sonar-style interface, showing their position, distance and flight details in real time.

Features of the project:
➡️Live ADS-B aircraft tracking
➡️Sonar-style radar display
➡️Flight context and weather
➡️Wireless OTA firmware updates

Plane Radar is a compact and easy-to-build project for aviation enthusiasts and ESP32 makers. The materials are available on ☁️ GitHub. Its combination of real-time aircraft tracking, customizable firmware and convenient wireless updates makes it an appealing choice for anyone interested in embedded hardware or flight monitoring.

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#projects #esp32

💻 Barely Adequate Browser ESP32

Babe32 is a lightweight text-based web browser for ESP32-S3 touchscreen boards such as the Cheap Black Display. It renders a subset of HTML with 🇳🇱 LVGL library, supports optional image loading, and focuses on practical browsing without JavaScript.

Features of the project:
➡️Direct browsing with proxy fallback
➡️HTML rendering and forms
➡️Touchscreen navigation and keyboard
➡️WiFi, history and power management

Babe32 delivers a surprisingly capable browsing experience on inexpensive ESP32 hardware while remaining lightweight and resource-conscious.

More information:
🔗 The main article
😹 The GitHub repository

#projects #esp32 #lvgl

🧠 Qapla': Training AI on ESP32 microcontroller

Qapla' is an open-source project that demonstrates training a transformer model entirely from scratch on an inexpensive ESP32-S3 microcontroller.

Instead of running a pre-trained model, it performs the complete training process—including backpropagation and weight updates—directly on the device.

Features of the project:
➡️Full on-device transformer training
➡️Handwritten C backpropagation
➡️No pre-trained model required
➡️Open and reproducible setup

Qapla' proves that even low-cost microcontrollers can train small transformer models without GPUs or cloud infrastructure. It is an interesting project for embedded AI developers, TinyML enthusiasts, and researchers exploring on-device learning under extreme hardware constraints.

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#projects #esp32 #artificial_intelligence