Posted by david927 11/9/2025
Ask HN: What Are You Working On? (Nov 2025)
It's a personal project that grew out of my own frustration. I was annoyed of paying for (and switching between) 8+ different apps for my Pomodoro timer, a secure journal, and habit tracking. I wanted to consolidate everything into one clean, fast interface.
I've spent the last few months building it out it's a full-stack app with a Next.js 15 frontend and a FastAPI/PostgreSQL backend. I'm really proud of the tech and the "minimalist UI, maximalist features" feel.
The app is live and free to use. I'd love any feedback on the app itself, but I'm also genuinely looking for advice: What's the best way to find your first 100 users for a new productivity app?
I figure having real users is a good resume boost and its an app anyone can use so I thought getting users would be easy but I've been struggling with it
Because they're trained using imitation learning instead of RL, they're scalable and easy to deploy with your own data (also open-source!).
Mainly targeted at and tested on quickly disqualifying prospects in sales calls, but can be applied more broadly.
A place to find great blog articles by regular folks related to dev/tech world.
Wondering about the best way I can add a weekly newsletter built on top of the content currently being ingested and still looking for more sources to add to the database (let me know if you have any good recommendations).
I have added only about 35 essays for now. Might pick up some from your list too.
Trying to keep it simple but I can already feel some "design pressure" to think about making the DSL more complete (language) by adding features like loops and variables. Still early days!
*The problem:* As a solo founder, I was spending hours each week on social media - writing posts, scheduling them, managing multiple accounts. I wanted something that could handle the entire workflow automatically while still letting me stay in control.
*What PostSam does:* - AI generates content tailored to your brand voice (you provide initial brand info) - Creates full content campaigns with posting schedules - Calendar interface to review, edit, or reschedule posts before they go live - Auto-publishes to all connected accounts - Learns from your edits to improve future content
*Current status:* Live and working. Seeing good engagement rates from users who set it up once and let it run. The AI content quality has been surprisingly good - it adapts well to different brand voices.
All those have official API for creating posts? If not, there is a chance they will ban the tool.
I've used my app in various forms for around 5 years, rewritten multiple times. But now I'm creating surrounding tooling to help others put my mental model for personal life prioritize to use. I'm writing in the "Saving Spoons" Substack as I go, trying to explain why and how I do things, with advice for others trying to do the same thing.
I’ve been struggling to find substantive traction, so I’m trying to niche down to make the tool really helpful for people who want to quit their jobs.
I built a rudimentary planning and forecasting engine, and am trying to run paid ads to see if the signals resonate with people. I don’t love ads, but maybe trying to understand them will further inform my opinion on them.
One thing I would love to come up with is a way to make the app fully local first, while continuing the ability to sync accounts via plaid. It would be great to not be able to see people’s data at all. Im trying to figure out if there is a good user experience I could provide while minimizing the amount of data I actually have access too. Maybe this feature won’t matter to my primary customers though, I’m not really sure.
I still have a ton of fun working on it, and if it never really makes any money I consider it a great success for my personal learning.
Link for the curious:
[0] https://apps.apple.com/us/app/reflect-track-anything/id64638...
Website: https://ngonella.com/
I have a bunch of ideas and small projects I would like to write about, so I'm really excited about this.
Our first prototype optimized an 80B model to run at full 256k context at 40 tokens/s while only taking up 14gb of RAM.
We are currently leveraging this tech to build https://cortex.build a terminal AI coding assistant.