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Ask HN: What Are You Working On? (Nov 2025)

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141–150 of 1001 posts

Re: Ask HN: What Are You Working On? (Nov 2025)

#142
I'm a writer, non technical, and I'm building Eyeball - https://tryeyeball.com/

Eyeball is a bookmarks app that turns your own saved links into hyper-personalized playlists. It's like having a personal curator in your pocket that sends you a weekly issue of your own personal "magazine" on Sundays.

Re: Ask HN: What Are You Working On? (Nov 2025)

#144
I’m building Cozy Watch, a macOS app that brings GitHub notifications straight to your desktop.

It tracks pull requests, CI results, and mentions in real time — so you know when you’re needed without checking GitHub or digging through emails.

It has a menu bar for quick access and a clean desktop UI for more detail.

https://www.cozywatch.com

Re: Ask HN: What Are You Working On? (Nov 2025)

#146

I’m working on https://regularly.co/ - A website made for inquisitive minds to get their daily puzzle fix. Still very much a WIP (mainly working on tuning the difficulty of puzzles to make it enjoyable for most). That being said I really do enjoy the unique combination of puzzles when I do them each day. I’m looking for feedback so if you do take a look please do let me know your thoughts!

Incredible. Thank you for sharing this, I love puzzles and like setting aside some time in the morning to do them. This will enhance that habit so much! A whole slew of daily puzzles, I'll let you know how it goes!

Re: Ask HN: What Are You Working On? (Nov 2025)

#147
In the philosophy of selling shovels in a gold rush, I have built a Markdown Viewer for Mac which is optimised for AI coding with the likes of Claude.

It is simple but powerful supporting all formatting but also diagrams so you can get Claude to generate beautiful ER, or state-transition diagrams for your documentation. It also supports math notation, file links and has a cool table of contents feature

It's in the app store: ViewMD

Re: Ask HN: What Are You Working On? (Nov 2025)

#150

I'm working on Flavia, an ultra-low latency voice AI data analyst that can join your meetings. You can throw in data(csv's, postgres db's, bigquery, posthog analytics for now) and you just talk and ask questions. Using cerebras(2000 tokens per second) and very low latency sandboxes on the fly, you can get back charts/tables/analysis in under 1 second. (excluding time of the actual SQL query if you are doing bigquery)…

This sounds amazing. A demo video would help me finish sign up - I can’t try it without hooking it up to real data, and I don’t want to for a test.
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