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Ask HN: What are you working on? (September 2025)

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Re: Ask HN: What are you working on? (September 2025)

#771

Esperanto havas la mal- prefikso por krei specialcelan antonomion, sed la rezulto ofte mankas klarecon, kaj kiel morfemo mal mem estas morale kondamna: komparu malica, maligna, malversacio kie mal ne estas sinkrone disigebla. Tial mi vorkas por krei liston de ĉiuj mal- vortoj kun sen mal- alternativoj. Fakte ĝi ankaŭ povas servi la kontraŭan celon, provizi pli ĝeneralajn mal- vortojn kiam oni deziras krei verkon pli…

This smells of doubleplusungood.

Malmalkompreneble. :)

Re: Ask HN: What are you working on? (September 2025)

#772

Working solo on few thins: https://masterlist.fi - shareable todo list without login https://hockeytactic.com - tactics board for ice-hockey and floorball with live collaboration This is the biggest marketing effort I've done for those projects in months :)

Like the first one because it's so simple, but you need to add a QR code somewhere: it would make a list more easily shareable. ;-)

Re: Ask HN: What are you working on? (September 2025)

#773
A new way for realtors and potential buyers to do property research.

A "trying to solve my own problem" project. Managing my realestate portfolio and getting an unbiased estimate pricing estimate for new locations i'm interested in is tedious. Doing my own research on a location takes hours.

https://realestate.blackboattech.com/ makes this easier converting all real-estate research into a one click affair. Agent automatically accesses the location and neighborhood to score amenities and gets an average price range for similar homes. Research reports are great for consumers and realtors can have on-demand reports generated for the most up-to-date information. Over time the plan is to have passive tracking of my existing real-estate portfolio notifying me of local events or litigations that may affect my property pricing.

Re: Ask HN: What are you working on? (September 2025)

#774
post #494

I'm working on Vedro, a Python testing framework as a pytest alternative without the magic and with clear output. The main idea is that tests should just be Python: plain `assert` statements instead of custom matchers, no fixture magic, and when tests fail you get readable diffs that actually show what went wrong. Tests can be simple functions or structured with steps that self-document in the output. https://vedro.i…

I like the promise, and it looks nice. But I'm not sure what are the selling points.

- pytest already works with assert. Why brag about something that is already commonplace?

- It could help if your docs explained the alternative to using fixtures. I assume it would be done by re-using givens, but you could make it clearer what is the preferred way to do it, and what is gained, or lost, but doing it that way.

- Can you explain how your diff is better than the pytest diff? (I'm asking as someone who hates the pytest diff)

Re: Ask HN: What are you working on? (September 2025)

#776

I'm working on top down shooter for the browser (co-op to come) https://www.demoncleaners.com/ This uses phaser, standard web tech, wasm (built from Go engine running on server). Trying to build browser games that feel more like Steam games.

It's awesome! Well done!

Re: Ask HN: What are you working on? (September 2025)

#777

Non tech, but I started a sports beverage company with my brother and a neighbor. We are based in South Florida. My brother and I grew up playing sports and remember the simplicity of home-made drinks we'd take to games that blew the likes of Gatorade out of the park. We aim to replicate the simplicity of home-made drinks with simple ingredients. https://www.drinkiso.com/ Our whole value-add is based around the fact…

I can't find the nutrition information anywhere on the site. The first thing I look for when I see "no sugar added" on any product is the sugar content. Not being able to see that before buying is a no-go for me.

Re: Ask HN: What are you working on? (September 2025)

#778
https://doctly.ai

We're building Doctly.ai - PDF Extraction with AI.

We started out with document conversions to Markdown but quickly realized that most use cases were for JSON conversion. We recently launched our "Extractor Studio" where you can have AI analyze a few sample variations of your documents and come up with a schema for you and publish it to an API endpoint.

We've built a technique on top of AI models that dramatically improves run to run consistency of JSON output.

Checkout the blog post here: https://medium.com/@abasiri/introducing-doctlys-extractor-st...

Re: Ask HN: What are you working on? (September 2025)

#779
SMS based text only interface to search for library books, find the next train, and serve up the current week NFL schedule.

Originally a project to gain comfort with local LLMs + function calling. Currently, Ollama runs too slowly on Macbook Air M2.

SMS messaging handled through a cheap Android phone with TextBee.dev

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