Live data from Hacker News

What Are You Building? Share Your Projects

news.ycombinator.com

11–20 of 49 posts

Re: What Are You Building? Share Your Projects

#11
A language learning desktop application aimed at serious learners (especially at B1-C1 level) No gamification, no silly chat bots. Built from first principles after learnings from writing https://thehardway.guide

Main challenge: not be too perfectionist. I hate the hustling culture where each MVP has to be rushed in 2 weeks. It might be risk-effective, but it can't possibly be meaningful. I want to do the best I possibly can with the greatest care however long it takes, but I also don't want to waste (too much) time on irrelevant details and over-perfectionism

Re: What Are You Building? Share Your Projects

#12
Git's subcommand aliasing, but for arbitrary tools. Git has the capability to configure aliases, distinct from shell aliases, for its commands. E.g. 'git cm' = 'git commit'

I had a fairly naive, limited Bash script wrapping docker to provide something similar, but for fun I decided to rewrite it in Golang with arbitrary command support. Turns out that Go is not my cuppa so I rewrote it again in C# (my go-to), using the AOT compilation as well. Something like this probably already exists but writing it is about the journey, the fun of problem solving.

It will ultimately be a simple translator from a convenient config format (e.g. something like below) to shell commands, so nothing special. Just a useful tool for my day to day.

[command="git",exec="/bin/bash"]

        cm = commit

        cm  = commit -m "$CommitMessage"

        cm pop  = reset HEAD~$CommitCount

Re: What Are You Building? Share Your Projects

#16
post #3

Inspired by Andrej Karpathy's excellent YouTube video on tokenizers, I used Llama3 to analyze all of GPT-4's 100.000 tokens and today I wrote a blog post about it! https://koenvangilst.nl/blog/analyzing-gpt-4-tokens

> are single characters of tokens where the origin cannot be assessed.

Is this meant to be "or"? It probably wouldn't change the output very much though

Re: What Are You Building? Share Your Projects

#17
Creating a simple SaaS and library for doing blocking scheduling. “Find me the next open hour for Y” - sort of like calendly but for developers with a really easy/neat callback mechanism.

I’m building it because I’m tired of being oncall for lousy delay queues, which seem to always be built in house with no docs or tests. I think I’ve seen it homebrewed at least 6 times now.

It’s the smallest possible idea I could see myself getting across the line while on paternity leave. I guess project number #1 is baby boy #2!

Re: What Are You Building? Share Your Projects

#18
Working on Honcho[0] a platform for personalizing LLM based applications to individual end users.

It was inspired when working on a tutoring service and realizing that the key problem of AI tutors was that they didn't know the student well enough. As we started tackling the problem other builders around us mentioned similar concerns. It's been pretty hard to explain the value to those not experiencing the same problems, but it's slowly catching on.

[0] https://github.com/plastic-labs/honcho

Re: What Are You Building? Share Your Projects

#19
I'm working on a gemini web browser called astro (https://github.com/blmayer/astro), so far it has 50 stars, I'm super happy.

Also I have a SMPT server featuring automatic encryption using the WKD standard: https://dovel.email the idea is that people could self host their email easily. Maybe I'll make a SAAS for this.

My webring is mostly for fun and testing stuff: https://derelict.garden

Now they are hosted on my raspberry pi zero on my living room!

Re: What Are You Building? Share Your Projects

#20
Working on Cardamom, a compiler that transforms trained ML models into C libraries for easy, simple embedding in applications.

I have an example use case of embedding a snake AI player (trained in Python) in a JavaScript version of snake for distribution on the web.

https://www.cardamom.ai/snake.html

I have a similar demo building for iOS, I’ve deployed ML as a lambda layer before, and I’d like to continue embedding in fun places.

Post reply on HN