A job feed for remote jobs - https://tangerinefeed.net/

This is something I’ve needed myself over the last few years as jobs become shorter and shorter lived. Keep on improving it as some kind of compulsion.

I’ve been working on an app called Lång. It’s a calm daily spending guide – shows you what’s okay to spend today, based on how much needs to last how long.

The idea came from noticing how most people manage money day to day: checking their balance, adjusting by feel, trying not to drift. There are tons of tools for planning or categorising, but not much that fits that kind of improvised pacing.

Still early, but trying to shape it around those habits – to make something simple and steady, that supports how people already do things.

https://lang.money

I've been working on implementing @mpweiher "Storage Combinators" [0] and "polymorphic Identifiers" [1] in Eiffel [3].

Currently I'm stuck implementing a storage combinator with EiffelWebFramework[4]

[0] https://dl.acm.org/doi/abs/10.1145/3359591.3359729

[1] https://scholar.google.com/citations?view_op=view_citation&h...

[2] https://en.wikipedia.org/wiki/Eiffel_(programming_language)

[3] https://github.com/EiffelWebFramework/EWF

I'm building https://prijm.com which is a minimalist link sharing and post creation platform with custom feed and notification support for your activities. Here are some of the features:

- Supports markdown every where, even in your comments and replies.

- Get notified.

- Personalized feeds.

- Lightning fast & mobile first.

Been working on https://www.stainedglassatlas.com.

Trying to document and map as much of the publicly accessible stained glass as possible. The goal being the next time you visit a new city or town, you'll know where all the beautiful stained glass is to go see. Just recently added support for countries outside of North America. No exciting tech (vanilla HTML/CSS/JS). But excited for folks to check it out!

I’m building http://SharpAPI.com/ — a flexible AI-powered API platform that helps automate repetitive workflows for things like product categorization, sentiment analysis, resume parsing, content cleanup, and more. Think Zapier, but deeply focused on content-heavy tasks across e-commerce, HR tech, Travel, content and marketing. It’s how I’ve been replacing boring grunt work with AI firepower. It's sprinkled with a lot of SDK Clients for Laravel/PHP, Node, Flutter, .Net & Python.

Hej, I made FisherLoop[1] to learn Swedish. FisherLoop are interactive audiobooks where I use TTS with word level timestamps to highlight the words as they are spoken. This helps me pick up on pronounciation and grammar in a, for me, natural way. Additionally, I added flashcards from the books + word lookup. I am adding new books right now. If you have any requests: public domain books, which are around one hour reading time let me know :)

I am using cerebras for book translations and verb extraction and all LLM related tasks. For TTS I am using cartesia. I have played around with Elevenlabs and they have slightly natural sounding TTS but their pricing is too steep for this project. Books would cost a couple of hundred euros to process.

[1] https://www.fisherloop.com/en/

I'm working on an MCP to give your coding agent the ability to generate on-demand Mermaid diagrams about anything in your codebase. Among other benefits, it is very helpful for spotting unnecessary code or architecture that can accumulate while vibe coding.

https://www.npmjs.com/package/@mindpilot/mcp

Claude Code Quickstart:

``` claude mcp add mindpilot -- npx @mindpilot/mcp ```

I'm building an app to help users find free and paid street parking in Vancouver: https://instaparkr.com/

While apps like Parkopedia and SpotAngels tackle the same problem, their one-size-fits-all approach often results in incomplete, missing, or outdated data. My approach is different: go deep on one city at a time by combining multiple publicly available datasets. This doesn't scale horizontally since each city has different data sources and formats, but the goal is to become the definitive parking resource for one city, build automation to keep it current, then methodically expand city by city.

If you are based in Vancouver, do give it a go. Your feedback would be awesome!

I am working on an app to detect tooth problems. I envision it as something you can use for a quick check for the large majority who don't have regular dental care. It will be late detection but a good alternative to doing nothing.

I am experimenting with the current SOTA multimodal LLMs, but performance is still not yet there, they still hallucinate non-existent teeth. (As an aside, I have found a simple but very telling test, I have an image with only 4 teeth visible up and 10 down, so I prompt the modal to count, non have been able to, but Gemini 2.5 pro is the closest of the lot, performance is worse in the description when the counting test fails).

I am going to try segmenting the image to see if I will have better results by prompting to describe segment by segment.