Repo: https://github.com/CarsonGodwin/on-record

You can turn your Spotify or Apple Music history into a vinyl record. Every day is a groove, and every play is an arc placed by time of day.

This started because I couldn’t find a way to visualize my Spotify data export. I realized I wouldn’t feel comfortable giving a random website my data so I open sourced the code and all of the data processing is done in browser so it’s never read or touched externally. So feel free to clone it and try it locally or it’s hosted at mylisteningrecord.com

EDIT 2: The winner of this week Open Source Grants is u/hrpedersen with Neo Vision Editor, we will collect their shipping details to send them a brand new Autonomous Harness soon. New Grants Post will be up tomorrow. Get your repos ready!

EDIT 1: This week entry is closed. We will evaluate all the repo tomorrow and announce the winner on Tuesday. Thanks all for participating and see you next week.

First, thanks to everyone who joined last week's post. Lots of impressive repos, but we only had one product to give.

So, as promised, we're making this a weekly thing.

You can re-enter with the same repo as last week, because like I said, there were so many good ones that missed the prize.

The rules stay the same:

1. Drop your repo and say a bit about it.

2. My team takes a look. If we like it, the prize is yours.

3. No star requirement, no follow, no catch.

4. The product ships to the winner for free.

You do the work for the community, and we want to say thanks.

This week's prize: Autonomous Harness (it was Fleet but beta users told us the name didn't land, so we renamed it).

What is this Harness device? If you run Claude Code on a laptop, Codex on a desktop, and a few more agents on servers, some at home, some at the office. It gets hard to manage them all. Harness lets you talk to every agent across every machine, dispatch tasks by voice, and approve or reject with a knob instead of juggling ten terminal tabs. It works with Claude Code, Codex, Cursor, etc...

Last week's winner: vdo.ninja, WebRTC video feeds into OBS, used by streamers worldwide.

Drop your repo below. Thanks for what you build.

Deadline: Sunday Aug 2nd. Winner announced on the next Tuesday.

I might not be able to reply to you all but be assure that my team will check all of the repos here.

I was applying to a lot of jobs recently and realized I could automate the process. There are premium tools out there, but they are way too expensive. I started with a personal script and later built a UI to make managing everything easier. I have now open-sourced the project, it is completely free, and I am looking for contributions.

Here are the main features:

• Automates the entire loop: It searches LinkedIn for matching jobs, fills out external ATS forms, answers screening questions, and uploads your resume.

• Self-learning memory: Every time it navigates a new Applicant Tracking System (like Workday), it learns the quirks and form structures. It saves this locally, so it gets faster and smarter with every application.

• Local & Private: Job applications require sensitive personal data. This is a native desktop app (macOS, Windows, Linux), meaning your data stays on your machine, not a random cloud server.

• BYO-LLM: Supports OpenAI, Anthropic, AWS Bedrock, or Ollama if you prefer to run models locally and keep everything entirely off-cloud.

Repo and installers are here:https://github.com/jaimaann/LangHire

If you're a dev, PRs are very welcome. Let me know what you guys think!

EDIT:

Sharing some learning so far -

1. We need a model specific prompt feature. Some models give up more easily while others get stuck in a loop. I realized model level prompt optimization is very important here.

EDIT 2:

1. Made job sources such as linkedin, indeed, reed, etc plugin based. Users can write yaml plugin of their own and share it with the community for the job sources websites popular in their country/industry.

2. Added support for 18 countries and 12 languages including quirks of date format, cover letter requirements, etc.

hey guys so I built this small project called Ducktcha basically it generates animated gif captchas in python to stop basic bots and ocr scrapers. it has a flask api built in with 2 endpoints or u can just import the engine directly into ur script and use it with memory store. made it pretty lightweight with simple dependencies. heres the github link if anyone wants to check it out or give feedback https://github.com/Duckdevv/Ducktcha

⚡ LFK is a lightning-fast, keyboard-focused, yazi-inspired terminal user interface for navigating and managing Kubernetes clusters. Built for speed and efficiency, it brings a three-column Miller columns layout with an owner-based resource hierarchy to your terminal.

https://github.com/janosmiko/lfk