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Coin Shot ☁️

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Airdrop Hunting l On-Chain Analysis l DEFI Insights

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This lawyer made $150,000 selling portable offline AI. It analyzes docs that can’t legally be shown on the web. The whole setup costs $50 and he sells it for $999. Here's how to make one step-by-step: You need 4 things: → Raspberry Pi 5 (8GB) → PiSugar 3 Plus battery → Whisplay HAT for the screen and mic → 64GB SD card. Total cost on Ali is around $50 to $90 if you wait for the right deals. 1. Write Raspberry Pi OS Lite 64-bit to the SD card using Raspberry Pi Imager. 2. Stack the PiSugar battery underneath the Pi, snap the Whisplay HAT on top, insert the SD card, and boot the device. 3. Open the terminal and install Ollama with one command: curl -fsSL | sh 4. Pull a model that actually runs on the Pi without choking: ollama pull phi3:mini 5. Run the model and start chatting offline: ollama run phi3:mini The whole thing fits in your pocket, lasts 4 hours on battery, and never touches the internet once setup is done. The lawyer wraps his version in a custom case, preloads it with legal document analysis prompts, and sells it to law firms that can't legally process client data in the cloud. You can sell yours to doctors, accountants, government contractors, defense companies, or anyone else who handles data that legally cannot leave the building. Hardware cost: $50 to $90. Selling price: $500 to $1999

This lawyer made $150,000 selling portable offline AI. It analyzes docs that can’t legally be shown on the web. The whole setup costs $50 and he sells it for $999. Here's how to make one step-by-step: You need 4 things: → Raspberry Pi 5 (8GB) → PiSugar 3 Plus battery → Whisplay HAT for the screen and mic → 64GB SD card. Total cost on Ali is around $50 to $90 if you wait for the right deals. 1. Write Raspberry Pi OS Lite 64-bit to the SD card using Raspberry Pi Imager. 2. Stack the PiSugar battery underneath the Pi, snap the Whisplay HAT on top, insert the SD card, and boot the device. 3. Open the terminal and install Ollama with one command: curl -fsSL | sh 4. Pull a model that actually runs on the Pi without choking: ollama pull phi3:mini 5. Run the model and start chatting offline: ollama run phi3:mini The whole thing fits in your pocket, lasts 4 hours on battery, and never touches the internet once setup is done. The lawyer wraps his version in a custom case, preloads it with legal document analysis prompts, and sells it to law firms that can't legally process client data in the cloud. You can sell yours to doctors, accountants, government contractors, defense companies, or anyone else who handles data that legally cannot leave the building. Hardware cost: $50 to $90. Selling price: $500 to $1999

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Paranoid man mocked for hunting a spy device in his home. No one believed the government could plant bugs in people’s apartments. A month later, his device found a bug in every mocker’s house. He started selling it and made $255k as everyone rushed to check their own homes. Here's how he made this technology using only Claude: The device is called an RF bug detector. Hidden cameras, microphones, and GPS trackers all leak radio signals when they transmit. This scanner picks up those signals and shows you exactly where they are coming from. The whole build costs around $25 in parts and runs on a small rechargeable battery. You need 4 things. - ESP32 development board - AD8317 RF detector module (the part that senses the signal) - A small OLED screen - A LiPo battery and charging board 1. Wire the AD8317 module to the ESP32 analog input, then connect the OLED screen to the I2C pins, which takes about ten minutes on a breadboard. 2. Plug the ESP32 into your computer with a USB cable. 3. Open Claude Code and paste this prompt: { Write me ESP32 firmware for an RF bug detector. Hardware: - AD8317 logarithmic RF detector on analog pin 34 - SSD1306 OLED screen on I2C pins 21 and 22 - LiPo battery powered Requirements: 1. Read the AD8317 voltage 20 times per second. 2. Convert the voltage into a signal strength value in dBm. 3. Show a live bar graph on the OLED that rises as signal gets stronger. 4. Play a beep through a buzzer on pin 25 that speeds up as the signal increases, so I can sweep a room and home in on the source. 5. Add a calibration button on pin 4 that sets the current room level as the baseline, so only stronger signals trigger alerts. Output one complete Arduino sketch with comments so I can tune the sensitivity. } 4. Flash the firmware to the ESP32 straight from the Arduino IDE. 5. Walk slowly around any room holding the device, and watch the bar graph climb as you get closer to a hidden transmitter. 6. Once it works, drop the whole thing into a 3D-printed handheld case so it looks like a finished product. The man in the hook sweeps a room in under two minutes. The beep speeds up as he gets closer, so he can pinpoint a bug hidden inside a smoke detector, a plug, or a lamp. His parts cost around $25 per unit. He sells the finished detector for $129 to renters, travelers, and Airbnb guests who want to check their space. The market is everyone who ever walked into a hotel room and wondered if someone was watching.

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