
Flinq
Send anything between your devices. No account. Just scan.
What it does
I got tired of emailing myself links to move them from my laptop to my phone, so I built Flinq. Open it on both devices. Scan the QR once. Now copying on one device makes it appear on the other — text, links, photos, files, all of it. Works between any combination of devices: iPhone, Android, Mac, Windows, Linux. If both have a browser, Flinq works. No account. No signup. No app to install. Free forever, no ads, no tracking.
Does the same job
all alternatives →
- PSPinSend – Share text between devices using a PIN(P2P, no login)2025 · pinsend.app · ▲62
Hi HN, I built [PinSend](https://pinsend.app) — a free web app for instantly sharing text between devices, using a simple 6-character PIN. - No login, no account, no install. - Peer-to-peer WebRTC transfer (no server relay, no cloud). - Cross-platform: works on any modern browser. I built PinSend for myself while developing web apps—I was always copying ngrok links and sending error logs between my laptop and mobile devices. I wanted a frictionless, instant way to move links and text between anything. *Demo:* 1. Open https://pinsend.app on your phone & laptop 2. Paste or…


- ETEngye – transfer files between any two devices by scanning a QR codeJun 2026 · engye.fuzzyworld.net · ▲15
Early in April I needed to print some tax forms at the library, first time in forever, and I began to wonder: what's the easiest way to get a file onto a public computer? There are many ways, but most of them involve creating an account somewhere or plugging in a thumb-drive. I use a password manager, so my passwords are long and complicated, not easily typed. I don't want to plug anything into a public computer, nor do I fancy uploading my taxes to some random website. I thought about what a helpful product would looks like, and in about an hour I spun up the first version,…

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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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