401–410 of 1001 posts
Forge is an orchestration layer that sits between AI coding tools and your codebase. It's a single Rust binary (~3 MB, zero runtime deps) that runs as an MCP server over stdio. Any MCP-compatible AI tool can call it.
MIT licensed. Whitepaper with the full architecture: https://nxtg.ai/insights/forge-whitepaper
https://kavla.dev/ It's an infinite canvas that runs SQL. I've been working with data my entire career. I feel like we need to alt+tab so much. What if we just put it all on a canvas? Currently very WIP, but there's a simple titanic demo available! Built with tldraw and duckdb wasm, running on cloudflare durable objects
In my job I always end up with big notebooks of data exploration that get messy fast and are hard to share anything but the final result, having a canvas that embraces the non-linear nature is a great idea.
NuGet.org doesn't distinguish between a hobby project and a professionally maintained library with real support. pkgstore is a curated directory and marketplace where publishers can sell NuGet packages directly, with full dotnet push/restore support, Stripe payments, and automated access control.
In open beta now, onboarding publishers. Would love feedback.
It's a free macOS app written in Swift that allows you to type with your voice. It supports local models and BYOK (Bring Your Own Key) with a bunch of providers.
You can assign different models and post-processing steps to polish the text. For example, I have a setup for Obsidian that transforms my voice into clean, formatted Markdown. Or, when I use it inside VS Code, it switches to the Parakeet V3 instant local model.
You get to choose the genres you're interested in, and it creates playlists from the music in your library. They get updated every day - think a better, curated by you version of the Daily Mixes. You can add some advanced filters as well, if you really want to customise what music you'll get.
It works best if you follow a good amount of artists. Optionally you can get recommendations from artists that belong to playlists you follow or you've created - if you don't follow much or any artists, then you should enable that in order for the service to be useful.
https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.
https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.
https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".
A metacritic like website but for any product.
It analyzes thousands of professional critic reviews to find the best of the best.
I started building this because I adore how metacritic analyzes professional movie/game/tv show reviews and calculates a meta score for each title. In my experience it’s the best way to discover new things to watch or play, and I’ve often wished something like this would exist for when I want to buy a product.
This year, I decided to start building it myself and Criticaster is the result.
For a given product category we collect all professional reviews of a given product, analyze each to assign them a score and then calculate an average critic score.
The goal is to become the most trustworthy source to make product decisions.
Very curious what y’all think!
I got frustrated with existing screenshot services choking on cookie banners, rendering half-loaded pages, and serving bloated images. So my co-founder and I built one that auto-dismisses cookie consent dialogs using Playwright heuristics, serves AVIF-first from Cloudflare R2, and supports geo-distributed rendering so you can capture pages as they'd appear from different regions.
Spring Boot + React + PostgreSQL. Bootstrapped after selling a previous ecommerce SaaS.
Currently documenting the whole build in a 30-day series on the blog if anyone's into that sort of thing.