My OSS P2P file transfer tool for learning Next.js (as a C++ dev)
Hey HN, I'm a C++ algorithms engineer, and today I'd like to share my first full-stack web project: PrivyDrop. This project was born from two ideas: First, I wanted to solve a daily annoyance of mine: I needed a simple, AirDrop-like way to send text, links, or screenshots between my phone and PC. I tried many tools, but they either required me to sign up, had various limitations, or uploaded my data to their servers, which I was never comfortable with. Second, this was a personal experiment. Last year, with all the talk about "AI replacing programmers," I got curious. As a developer with no…
In plain words
PrivyDrop is a peer-to-peer file transfer tool that lets users send text, links, and screenshots between devices without signing up or uploading data to external servers. Built by a C++ developer learning full-stack web development with Next.js, it provides a simple, local alternative to cloud-based file-sharing services. The tool keeps all transfers private by operating directly between connected devices.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, I'm a C++ algorithms engineer, and today I'd like to share my first full-stack web project: PrivyDrop. This project was born from two ideas: First, I wanted to solve a daily annoyance of mine: I needed a simple, AirDrop-like way to send text, links, or screenshots between my phone and PC. I tried many tools, but they either required me to sign up, had various limitations, or uploaded my data to their servers, which I was never comfortable with. Second, this was a personal experiment. Last year, with all the talk about "AI replacing programmers," I got curious. As a developer with no web background, I wanted to see how long it would take to learn full-stack development from scratch (an area I'm really interested in) and build a complete application, using AI as my primary coding partner and mentor. PrivyDrop is the result of that learning and experiment. It's a peer-to-peer (P2P) file-sharing tool based on WebRTC. Its core principle is that *your data belongs only to you*: all files and text are transferred directly between your browser and the recipient's, fully end-to-end encrypted, without ever passing through an intermediate server. *Here are some of its key features:* * Completely free and open-source, with no ads. * No sign-up or installation required—just open your browser. * Direct P2P connection for privacy, security, and speed. * No limits on file size or type. * Support for entire folder transfers. * Built-in resumable transfers. The whole process has been a fantastic learning journey. I'm sharing it now in the hope that it can solve the same pain point for others. I'm really eager to hear any feedback, ideas, or even harsh criticism from the HN community! * *Live Demo:* https://www.privydrop.app * *GitHub Repo:* https://github.com/david-bai00/PrivyDrop Thanks, everyone!
Does the same job
all alternatives →- HCHTML5 clone of OS X AirDrop – Easy P2P file transfers in a browser2014 · sharedrop.io · ▲165


- SDSendfiles.dev – quick, secure P2P file transfer using WebRTC2021 · sendfiles.dev · ▲43
- SESendRail - Easy P2P File Transfer From The Desktop2012 · sendrail.com · ▲76
- DPDirtyShare, Pure JavaScript P2P File Sharing (in Node.js + Socket.io)2012 · gun.io · ▲75
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, August 2025
the whole month →
- IS
I built the world's most impractical 1000-pixel display and anyone in the world can draw on it. It draws a single pixel at a time and takes 30-60 minutes to complete a single image. Anyone can participate in the project by voting for the next image to be drawn, and submitting images. https://kilopx.com/
Work · 2025 · benholmen.com

- KT
Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
Dev tools · 2025 · github.com
- IW
I was wondering how I can arrange objects along a spherical helix path, and read some articles on it. I ended up learning about parametric equations again, and make this visualization to document what I learned: https://visualrambling.space/moving-objects-in-3d/ feel free to visit and let me know what you think!
Life & fun · 2025 · visualrambling.space
- TC
For HTML Day 2025 [1], I made a web service that displays the current sky at your approximate location as a CSS gradient. Colours are simulated on-demand using atmospheric absorption and scattering coefficients. Updates every minute, without the use of client-side JavaScript. Source code and additional information is available on GitHub: https://github.com/dnlzro/horizon [1] https://html.energy/html-day/2025/index.html
Dev tools · 2025 · sky.dlazaro.ca