Posted by david927 15 hours ago
Ask HN: What Are You Working On? (Nov 2025)
This week we're building out the UX around formatting and this month we're building a more robust set of integration tests and integrating with a large industry platform.
https://demo.replays.lol/clipper (recording the demo video today).
The idea is that a generic video message doesn't appeal to a fan of a video game streamer, instead what really would be cool would be watching them react to your best moment in a game.
Our software removes all friction from the journey, the fan doesn't even need to record their own gameplay, we have bots set up that can load up someone else's gameplay just from their username, record their highlight for them, upload it to our platform, then the streamer just needs to come in, watch a ~60 sec clip, give a genuine reaction, press 'submit' and its all done.
There's a few markets I'm trying to find product market fit in: ~1-2 minute coaching sessions, sports commentator style commentary over your clip from influencers, hyped up reactions from your favorite streamer, a community-focused segment on a stream of watching a compilation of your fan's best moments.
We're ready to launch, just trying and struggling to find the first few people to sign up.
- Aggregations of m2 price and price history development
- Area and address details with time-on-market stats
- 3D map visualization
https://github.com/mrkev/webgpu-waveform
Made some updates to this open-source library I wrote to render audio waveforms using the GPU on the browser (WebGPU).
Example on the site. Works without enabling flags on Chromium browsers. There's an example to scrub and zoom in real time on some audio. Feedback welcome!
Currently it works as standalone player. Addition of MPD client mode opens possibility to play music on a separate device while keeping the UX of the music player that I like.
A fun project with lots of challenges finding word lists, refining them, using AI for clue generation, etc.
At first I wasn't sure what I had to do, it simply throws you into the game, and it's easy to get confused with the numbers around it, because usually if there are numbers, there is going to be somewhere (usually at the bottom) the numbers and the clue for each of them.
It took me a bit to find how to get the clues from the vertical words (double tapping).
The onscreen keyboard isn't very responsive in the sense that I had to tap several times the backspace to delete a letter.
It doesn't allow to play again :(
An open-source, local database which collects all your personal data, hooks it to an LLM (BYO), and gives you an assistant that can answer any question about your life.
It also allows you to vibe-code (or just code) small apps on top of your data (e.g., your custom dashboard for your expenses).
I have a short demo here: https://www.youtube.com/watch?v=gqAyvENDjSA
https://donethat.ai Passively processing screenshots is obviously pretty sensitive, it has an option to bring your own (local or remote) LLM, otherwise I process with gemini and never store any data.
It's in beta right now so if you want to try it you have to enable "proactive chat" in settings.
I also made a list of similar tools out there: https://donethat.ai/compare
I'm making Easel, a 2D game programming language designed to match how humans, not computers, think about game logic. It also has automatic multiplayer. I've been working on it for 3 years!
Easel feels like a declarative programming language even though it is imperative, because lots of useful game-oriented features are first class. Like behaviours - you just say `on Pointer { ... }` and you have a concurrently-executing coroutine that's lifetime is managed. But you don't think about any of that complexity, you just think of your entity as having a behaviour and go forth and make your game.
It also happens to have automatic multiplayer. Normally with multiplayer you have to worry about doing everything in a "multiplayer safe" way (i.e. be deterministic and only modify the things your side has authority over). My idea was to put all the multiplayer stuff in the programming language itself, underneath all your lines of code. This way, anything you write in that programming language can just be made multiplayer, automatically. So you can just pretend all your players are in one shared world, like a singleplayer game, and the engine does all the multiplayer for you. It was really difficult to make but it makes multiplayer so easy for you now.
Easel is my idea of how games should be made, or at least as close to the idea as I can achieve with 3 years of work, and I would love for more people to try it out.
I tried doing something much more rudimentary before. Will be following
I would love to hear more about what you were trying to do with your project before. Was it more similar to the declarative coding part, the automatic multiplayer part, or something else? Part of why I'm doing this is to explore the design space of how games should be made and I'm interested to hear what problems, issues, pet peeves, "bugbears" etc that other people think are worth solving.
It was messy. I ended up having NPC, Item, Attack classes and for each a NPC Manager, Item Manager, and Attack Manager to calculate all their interactions and states.
That's why your project seems interesting because it seems to handle the heavy lifting of behaviors and "behind the scenes".
I've actually gone with a 100% declarative approach. Basically you define effects, which are executed in response to certain interactions. There's a comprehensive targeting system. But the best part is this is all type-safe using TypeScript, the declarative structure is enforced. That means even when you chain effects, nested effects are able to access (incl. autocomplete) the targets of parent effects etc. Whilst this provides a super nice experience to consume, it's definitely non-trivial to build this system.
She can also join your google meet or teams meetings, share her screen and then everyone in the meeting can ask questions and see live results. Currently being used by product managers and executives for mainly analytics and data science use cases.
We plan to open-source it soon if there is demand. Very fast voice+actions is the future imo