861–870 of 1001 posts
Shameless plug: https://jeremymaslanko.com/
Now this one became my favorite extension.
https://github.com/jeanlucaslima/ato
Warning: current version is maintained only through claude code, even the README. Feel free to criticize/send suggestions.
I started this over the summer when I was moving to a new house and wanted to document the family history behind some thing I own. It's turned out to be more useful than I thought and I've expanded the features as friends found it useful. A developer friend, who I used to work with, joined me and we're both working on it now. It does have a little revenue now but we are far from quitting our day jobs.
I'd really like any feedback from the HN community!
I launched this on HN over the summer, but it's millisecond-precise audio synchronization for multiple devices, performed purely in the browser! I'm sitting at around 5K daily active users now. Also, it's open-source!
Working on CiteLLM, an API that extracts structured data from PDFs and returns citations for each field (page + coordinates + source snippet + confidence).
Instead of blindly trusting the LLM, you can verify every value by linking it back to its exact location in the original PDF.
Reading practice and assessments for k-12 students, with reporting and tracking for parents, tutors, and teachers. It uses speech to text and quizzes to assess the students reading ability. It picks up skipped words, substituted words, along with metrics on speed and pauses.
I have been testing it with my 2 daughters and its finally at a spot where I don't have to drag them to test it against their will and they are showing improvement. I am working on the marketing now. I have gotten some interest from private tutors but I have a feeling it will be great for the homeschooling community.
Thanks for any feedback! Please leave first reactions as the marketing page is what I am iterating on right now. Don't hold back!
We want to speed up adoption of custom AI, but most people suck at building it (no expertise, money, time, etc.).
We thought, what if you could "Vibe ML" your way to it? Allow any AI engineer or PM to build custom AI directly from their current implementation.
So we built these agents that orchestrate the entire life-cycle of custom AI. We start by hooking into how you use AI, prepare/label your data, detect the best recipes for your task, fine-tune, and deploy it for you. Really tried to simplify the entire process.
We aren't entirely sure about the UX/UI patterns. We aren't going chat first because if most people don't know where to start with ML, how in the world are they going to prompt it!?! Instead, we auto detect the AI tasks you've built and go from there.
Turns out not that hard.
In about a weekend, I built a UETA and ESIGN compliant tool. And it was free. And it cost me less than $50. Unlimited free e-sign. https://useinkless.com/
I doubt it'll be of interest to folks here - but my Family recently (in the last couple of years) started to breed ragdoll cats in the U.K.
This has been my personal project to understand where I personally find LLMs useful as coding assistants, and where I don't. One easy to spot example is, front-end + copy. Another area I've enjoyed it is talking through how I'd design and build functionality and features ahead of time.
It's been very interesting, and is helpful to folks I care about, even if no-one else ends up using it!
The goal is to help small teams and fast-growing startups understand where cloud spend is leaking and automatically reduce waste (idle resources, over-provisioned workloads, inefficient Kubernetes setups, and AI API usage). Setup is lightweight, and we focus on actionable recommendations rather than massive dashboards.
We’re still early and testing with a few teams who want better cost visibility without running a full FinOps practice.
Website: https://deepcost.ai