InnerApple: End-to-End Encrypted Journaling with Private AI

Journaling only works if you trust the medium. InnerApple replaces trust with cryptography — every entry is encrypted on-device before it leaves, and the server only ever stores ciphertext it cannot read. The stack is Flutter on the front end, FastAPI on the back end, and Rust via FFI for the cryptographic heavy lifting. AES-256-GCM […]

flutter_concrete: Bringing Fully Homomorphic Encryption to Mobile

Fully Homomorphic Encryption lets you compute on data without decrypting it. It has been practical for roughly three years. What it has not been is mobile-friendly. flutter_concrete is a Flutter FFI plugin that brings Zama’s Concrete ML to iOS and Android. It handles the full client-side FHE workflow: key generation, quantization, encryption, and decryption. The […]

Emotwen: Fine-Tuning a Small Model to Listen Without Advising

Most chatbots reach for solutions. You say something difficult and they suggest meditation, therapy, five actionable steps. Emotwen does the opposite — it listens, reflects, and validates. It does not give advice. Emotwen is Qwen 3.5 (0.8B parameters) fine-tuned into an empathetic journal companion. The name is Qwen backwards — the model’s job is to […]