871–880 of 1001 posts
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I've been building a loyalty/membership product for small businesses. My co-founder owns an ice cream shop and complained about how awful the existing products in this space, so we decided to build something better. No apps to download, Apple/Google wallet integration, and really cool analytics for the merchant. https://chckn.app/
Plan to add more handy features in the next version.
10Cups. We pretty much all buy the same type of coffee, every time. So I added a simple NFC reader to the barista's Kitchen Display. You buy ten cups of coffee, they give you a NFC sticker for your travel mug. Tomorrow, you skip the queue, hand the barista your travel mug. They tap it on the reader, see how you like your coffee, and redeem one. Makes your regular's lives easier, and you take regulars out of your queu…
Well done.
I’m building a tool to help teams decide if they should keep burning cash on AWS/GCP or buy their own GPU clusters.
It takes real workload parameters (tokens/sec, model size, duty cycle) and models throughput/utilization to find the break-even point. The core diagnostic is free, and I generate a board-ready PDF report for $99 to help justify the CapEx/OpEx switch to CFOs.
Building this solo from Switzerland. I’d love to hear from anyone dealing with "cloud exit" for AI or struggling with GPU cost projections.
https://github.com/rustledger/rustfava This is a fork of Fava, the web UI that Beancount users know and love, but with the Python parser swapped out for rustledger running as WebAssembly. I packaged it up as a native desktop app using Tauri, so you just double-click to open your ledger files with no terminal or Python needed. It also works via Docker, PyPI, and Nix if that's more your thing.
https://github.com/rustledger/pta-standards I started this project to create proper formal specifications for plain text accounting formats, covering Beancount, Ledger, and hledger. It includes EBNF/ABNF grammars, JSON Schema and Protobuf AST definitions, tree-sitter grammars, Alloy models for invariants, and conformance test suites. The idea is to make it possible for anyone to build a correct, interoperable PTA implementation without reverse-engineering existing tools.
https://github.com/robcohen/peervault This is an Obsidian plugin that lets you sync your vaults directly between your devices over P2P connections, no central server involved. Has S3 fallback if you want. It uses Loro CRDTs so concurrent edits merge cleanly, and Iroh compiled to WASM handles the networking with NAT traversal and end-to-end encryption. Until iroh-docs or iroh-willow comes out with WASM support, this seems to be the best solution for obsidian syncing.
https://sampler.meiji.industries/ I built a TUI sampler which cherry-picks my favourite features from modern & vintage hardware samplers, DAWs, plugins, outboard FX gear, and DJ equipment. If you know what an AKAI MPC Live, MPC 3000, SP404, SP1200, BOSS RC-202, Alesis 3630, Serato Sample, S950 filters, and stem separation does, then you'll love seeing these "greatest hits" up in a terminal interface. Last year while…
10/10
It does what is says it does, zero friction.
Beautiful UI, I make some music from time to time, this is something I will definitely use.
Making local running dictations transcribe faster than cloud tools even for longer dictations. https://carelesswhisper.app
It's focused on structural analysis right now, but the goal is to allow for biologists, crystallographers, chemists, etc to quickly analyze large samples of structural data for patterns and find where those patterns break down.
Our goal is to make it a platform to analyze the output of various papers, tools, and structures to build a single unified biological model of your druggable target. For example, what if your alphafold output disagrees with pre-existing literature? If Diffdock says your candidate can bind to a pocket on a protein that hasn't been validated yet, what's the implications of that on the underlying biological mechanism?
Biology is extremely complicated, so scientists create simplified lenses of the world to make sense of things. Biologists are looking at different things than crystallographers, crystallographers are looking at different things than computational chemists, etc, etc.
Finding disagreements in these simplified lenses early can save a lot of money before things move to lab experiments.