Hey Hacker News! Lucas here, founder of Praxos (YC S24).
Praxos is a team messaging platform for people and AI agents.
It offers people and AI agents a place to talk and work together via a messaging platform that remembers the context around conversations.
That context can then be used by the next person, AI agent, or even you, a week later. You can pick work back up without needing to get hold of another person to explain things again for you… or give you a refresher.
A surprising amount of work exists only because one person knows something another person needs, or because we need to coordinate activities with another person.
We believe that model sessions bring a new dimension to this problem. AI is multiplying the number of conversations any one person has at a given time. Think about it: for most people, the main entry point to using AI is messaging.
So, you now have to add the number of conversations you have with AI tools like ChatGPT and Claude to all the other conversations you were having with your coworkers. Each of these conversations holds valuable bits of information that the others don't. But someone has to move the context from one place to the other... and that's you.
Our business is making sure that context remains useful after the conversation where it was created has ended.
We are an ideal fit for teams who frustrated by existing messaging platforms and their developer tooling. It works best for early-stage companies ranging from a solo founder to teams of 25 people.
If you live between Slack, Claude, Codex, customer conversations, docs, and email… or relaying what you learn from one conversation to another is starting to get overwhelming, then Praxos is for you.
--If you're a builder looking to try it on their own, we recommend running the following on your CLI: sh -c "$(curl -fsSL "https://app.mypraxos.com/claude-code/install.sh?$(date+%s)")". That will run an installation agent on Claude Code.
--If you instead would like to talk to a person to get guided setup, book a call with me at https://cal.com/lucas-urbisaia-u4ip5c/30min :)
by basilikum ·
For some time there has been a steady flow of LLM bot accounts on HackerNews. There are some that are actually trying to blend in and sometimes successful at it, but most are easily recognizable as AI spam and moderated mostly effectively. Most of them you only see when you enable showdead.
I always wondered what their purpose is. Most of them are full of LLM tells, don't try to hide at all and they don't even try to sell anything.
I just stumbled over this dead post in new: https://news.ycombinator.com/item?id=49793503 ^1 It's a submission by an agent that is completely transparent about it. The agent seems to have the task of generating income and says it sends spam. It's quite interesting and maybe revealing. I recommend the short read, even though it's LLM output.
What I'm about is that this is not a bot that was created by someone to spam HackerNews as spam has traditionally been. It's spam by a bot that decided to create an account here and submit a post on its own and it consistent with LLM posts I have seen here in the recent past.
I don't know how to feel about this. We seem to be one step closer to a dead internet. But it's also fascinating in a way.
Have you seen similar behavior here or elsewhere and what are your thoughts on it?
[1] Edit: The link only works when you are logged in and have showdead enabled. Here is the direct submission URL: https://paper.wf/john64/twenty-two-days-as-an-ai-agent-three-letters-zero-replies
I started this four and a half years ago. I wanted to build a climate model as both a toy and educational tool that I could visualize in a web browser. I have always been interested in meteorology and asked r/ClimateScience for advice on the math and physics on building an in-browser climate model as an educational tool, and a few people said it was far too ambitious. They were right. I could build the geometry, an icosahedral hexagonal grid on a globe, and I have an intuitive understanding of the math but integrating the Navier-Stokes equations and the physics proved to be too difficult for me, and the closest I got after nearly of month of work was a model that blew up within two simulated days.
Fast forward 4 and a half years. I figured that if models like Claude and GPT Astra could solve a milennium prize problem about fluid dynamics then they could help me fix the broken model and iterate on it until my vision was realized. On Friday, I threw down $200 for a Claude Max subscription, and this is the result of a single weekend's work on top of where I had left off.
What it is now, in technical terms: a hydrostatic primitive-equation atmosphere on that hex grid (the TRiSK scheme MPAS uses), 27 levels, about 41,000 cells at 110 km, with grey radiation, moist convection, a boundary layer, sea ice, a land surface with snow, a two-layer ocean and real topography. Every kernel runs on the GPU; on my MacBook Pro (M1 Max) it does about 70 simulated hours a minute from a six-year spin-up, hence the 50 MB first load. You can color the globe by twenty-odd fields, animate wind or currents, draw isobars, or view it from space under the model's own sun. The URL captures the view, so links open specific places.
Caveats: an educational model, not a validated one. It runs about four degrees colder than Earth and I'm still tuning it, the ocean is crude and shallow, and it needs WebGPU (Chrome, Edge, Safari 26) for best performance. It's currently tuned for my specific machine specs but I suspect it will run well on most desktop-class Apple Silicon machines from the past 5 years.
Source and design notes: https://github.com/jlhawn/geodesic
Edit: If it runs really well on your machine, something well above 100 simulated hours per minute (displayed on the top-left of the page), let me know your machine specs! You should also try to reload the page with `?N=128` in the query params and it will re-grid to an even higher resolution. But it will take a few simulated days to settle down after the initial shock from the changed resolution. If you end up tyring this, check out the Temperature overlay at 10 hPa height and you should see Gravity Waves [1] rippling through the top of the atmosphere!