nico

Joined 19 years ago

Karma
4,476
Submissions
2,093
Member since
Oct 11
Creator

* Jeffy, fast local classifiers that run and train on CPU: https://jeffyclassify.com/

* AI job search tool, Command Jobs: https://github.com/nicobrenner/commandjobs

* Wheelless, experimental RC toy that moves using vibration: https://www.tiktok.com/@wheelless?_t=8prRonmSXyV&_r=1

* Online JS image processing filters and animation, Blursort: https://jsfiddle.net/nicobrenner/a1t869qf/

Founder

* ClickFono (cloud phone platform for businesses) https://clickfono.com

* AutopilotReviews (customer satisfaction surveys that don't suck) https://autopilotreviews.co

* Lemontech (software for lawfirms) https://lemontech.com

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Recent submissions

Comment · 2 hours ago
> and all the other stuff that C++ frameworks are terrible at, but which is a doddle in HTML/CSS/JS

This is very interesting. I know that coding string-related stuff with C/C++ can be incredibly tedious and error prone (even hard security-wise). But all the stuff in the web-related stacks/libraries in other languages, is either already somehow being transcompiled to C to execute, or could be relatively easily ported/reused by directing an LLM/agent to do it

Do you think that could work to make C/C++ better at this? What things would you import/copy from elsewhere?

Comment · 23 hours ago
> nesformer builds on Qwenputer by Divyansh Agrawal, which compiled a CHIP-8 and then a RISC-V CPU into Qwen3.5-4B. It reuses Qwenputer's compiler and its central trick: the model's Gated DeltaNet state is the machine's memory

This is amazing, love it! Qwenputer is very cool too

Comment · 23 hours ago
Very impressed with both the cool idea and visuals, as well as the technical details. Had no idea you could do animations in Latex/PDF. So beautiful! Thank you for sharing
Comment · 1 day ago
Comment · 1 day ago
> There are tools out there that claim to be able to tell the difference between LLM-written prose and the old-fashioned biological product. I'm wary of them, partly due skeptism about their accuracy, but also because it rather misses the point

HN uses automatic classifiers. They seem pretty effective. At the same time, I think it's a loosing battle. I'd rather HN either flag for others to ignore/filter/review if they want to, and/or allow people to self-report (ala TikTok)

Eg. I wouldn't mind if a comment on HN was like:

Hey everyone, I coded this little thing:

<ai-generated> some code </ai-generated>

Then users can choose if they want to see posts with AI-generated stuff or not, or something else...

Of course there are always going to be some people trying to game the system. But what are we optimizing for? (a lot of times the 95% unnecessarily suffers because of the mitigation efforts to prevent the other 5% from abuse)

Comment · 2 days ago
Comment · 2 days ago
I do want people to independently navigate. But also, I'd like to bring them back to the current slide, or somehow highlighting the current slide, essentially making it easy for viewers not to get lost
Comment · 2 days ago
Treat it more like a cool proof of concept, now you can vibecode your own and use it with your own data
Comment · 2 days ago
The (MS Teams) feature is very cool and potentially useful, but: it only works on certain types of meetings/calls, and the way it’s implemented, people get lost, because they start playing with their slides, and then it’s not clear they can press the “Live” button to sync up again, so then they end up interrupting the speaker to say they are lost, or multiple people will say they are not clear where they are…
Comment · 3 days ago
I love this, and I feel every legal document (of which there are many, for example, a random one: insurance companies' policies) should have something like this (and no, Word is not good for it)

Does it already exist?

Comment · 3 days ago
Comment · 3 days ago
Comment · 3 days ago
Not sure about how the code in this project works. But the way I see it, an LLM+chat is a great interface for information. If you then connect it to a db with the knowledge/articles you need, then you get a great way to navigate it, without needing the model to memorize all the info
Comment · 3 days ago
Love this. And as a trend, I'd love to see more local/small task-specific models/agents. Experts at helping you with that one thing, leaving the everything-and-the-kitchen-sink to the frontier models/agents
Comment · 3 days ago
Thank you for making Ghostty, it’s a pleasure to use it everyday for work :)

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