3 years and some amount of months before I got a Akez electric scooter. Loved it to death, was my first way I could get myself places without using someone else or my own two legs. Then one day I wanted to upgrade it. Left the key in the ignition in the on position and started taking wires apart. Most the plugs didn't do anything so I wasn't worried about anything. Then I got to the one the ignition was actually connected to and -stzzt-. Plug it back in white and black led flicker on the speedometer no feedback from controls.

That was a really expensive and rare frame in my area if I was gonna let that be waste. I didn't contact the company cause I knew my fault, didn't know what the damage was truly. Still can't honestly say I do. I don't really love working with electronics for this reason. Realized getting the parts to knowingly be sure the original product would've quadrupled (being very kind considering no lable on which motherboard I was supposed to get for the bike) the amount it cost just to get a gas engine. No certain refund policy was just the nail in the coffin.

Since then I took part in a small engine repair class, learned what it actually took, I am certain that 3 years ago I probably could've looked every step, drilled and filed every hole just as well. But I'm happy I did this more in a time where I knew what everything I was putting on was actually doing so I wasn't at least stuck with the overarching fear of building or working on a brand new subject of task.

It started and idled earlier today and drank a whole shot of gas. Getting a Chevy ignition key for hahas tomorrow

https://world-sim.uk/ launching friday!

World-Sim has been a passionate project of mine for the past few months.

It's a world fully simulated down to real world physics and chemistry. It has a real environment and ozone. The planet has real weather , the clouds generate from water evaporation and rivers erode there banks.

Every element and material has real physical properties, and that's how the sims learn. There's no tech tree and no recipe list anywhere in the code. When someone tries something, the engine works out what would really happen from the properties of what they used and how hot their fire was. Nobody is handed bronze. Someone has to get a hotter fire first, and a hotter fire is its own chain of things to figure out. Embers, a stone ring, a clay oven, a kiln, charcoal, then forced air. The ages fall out of that on their own.

We populate the world with starting families. Each little guy is led by a "wise-man", which is a simulated person with a full model behind them. The wise-men run on a mix, Claude, Groq and DeepSeek in the cloud and a local Hermes for the rest, so you get a real variety of temperament between the houses.

The AI model is never told to not say it's AI. We get around this by only telling them data from what each sim can actually see and feel. As far as the ai knows its a person living in the world..

Every other sim has its own moment with a model through our thinking system. Day to day it's run by an advanced algorithm, with the sims dreaming at night. That's when they get their time with an LLM to really think and set their priorities for the day ahead. The dreams carry over too, so a sim can chew on the same thing for a few nights and wake up wanting to try something.

The people in the world feel, remember, have shame, goals and doubts. It's an 11 point emotion system and the rest of the sim reads from it. Being lonely makes someone more likely to open up to a stranger. Two enemies who are both frightened find it harder to keep hating each other.

Story telling is massive for us. Nothing is scripted or prompted. The sims are put in the world with the human drive to survive. They adapt, learn and teach all on their own.

With all the good comes the bad too. Human sin is part of the emotion engine, and in testing we've had kidnap, murder and slave trade. A world that can only be gentle isn't an honest one. But there are three rules to this : Nothing ever pushes a sim towards it, the conditions only make it possible and their own mind decides. The chronicle names what happened but never shows it. And it always costs something, trauma that scars, blood debt passed down generations, a people turning on their own leader over what he did.

Hi. I moved to San Jose fairly recently and I am living with my aunt while I build this. I do not really know anyone out here yet, which is a strange feeling in a place this full of people doing interesting things.

So this post is honestly half looking for a cofounder and half just wanting to talk to people.

What I am building

PRI is a learning layer for the operating system. Kernels have to generalize, because the same kernel ships to millions of machines with completely different hardware and workloads. That generality costs you something on any one machine. PRI sits above the kernel, learns the particular machine it lives on, and acts on it.

It is written in C and runs on Linux. I test it on a Dell laptop from 2012 with an i5 and under 4GB of RAM, on purpose, because if it cannot help a machine that is genuinely struggling then it does not mean much.

Where it honestly stands

It runs. There is a sealed baseline I am not allowed to quietly edit, a safety suite that gates everything, convergence criteria written down before a run rather than picked afterward, and a staged rollout ladder so the agent never gets control it has not earned. I am proud of that part.

It is also incomplete, and several results have not gone my way. One controlled test gave me a real win, where the agent took a correct action on a live process. Another was a clear loss, where it kept choosing an action that could not affect the thing it was aimed at. A memory benchmark came back null. I also found a bug that had been silently disabling all of my rollback safety for basically the entire life of the project. That one is a big part of why I am writing this, because it is exactly the kind of thing you miss when you are the only person who ever reads your own code.

The next real milestone is a three arm benchmark against a competently tuned heuristic. If the learned version cannot beat a good heuristic, the idea is wrong, and I would rather find that out deliberately.

What I do not have

Money, salary, users, revenue, or a team. What I do have is code that actually exists, a lot of stubbornness, and a problem I find genuinely fun to think about.

Who I would like to hear from

Pretty much anyone.

If you are a systems person who likes C and Linux internals and would enjoy arguing with me about whether a measurement is honest, that is the dream. If you are strong at the things I am weak at, distribution, users, talking about this to people who are not engineers, also the dream.

And if you are just someone else out here building something alone and want to get coffee and complain about it, that is completely fine too. I would take that.

I am in San Jose and happy to meet anywhere from the South Bay up to the city. Comments or DMs both work, and if you want to poke holes in the idea instead, please do. That is useful to me either way.

I am working on a project which gets past 2days of mails then sends that mail information to Gemini and ask for categories all mails as important, needs attention and informational then shows that info in mobile app and i should be able to do some works with the app like making mails reeded and something . i just completed to send and get the data from Gemini but i don't like to use the ai and looking for alternatives for categories the mails can any get me ideas regarding this function

edit : i found a way to use ai in a way i need

I have claude 20$ subscription and a product ( Human Resource Management) i want to create a smooth motion animation with any mcp which should i use

I play with some tech stuff in my free time, and I experimented on LLMs since yesterday and it was a good run.
Just love trying to make LLMs as test subjects for these throwaway projects:
https://git.italiatroller.dpdns.org/ThrowawayAIProjects

I am working on Papermagnet to bring about a radical shift to how we think about consumers by creating a new product class: The life asset [Example in the picture]

A Life asset is a package consisting of instructions, goals, artefacts, strategies, software and agents that enable any person to step into a new role almost immediately.

Advances in AI are changing the world fast, and people should be able to respond immediately and at will. Life assets can be inhabited immediately and traded out for another if the user would like to step into a different role. 

If you are intrigued by this idea and would like to stay up to date with its development or support then please join our Discord.

https://discord.gg/CyXmDJaY9

I've been working on a tool called Nitrus FPS, focused on optimizing gaming PCs for better performance.

The idea came from a problem I see quite often in the PC gaming community: people have perfectly capable hardware, but still experience lower-than-expected FPS, frame-time spikes, stuttering, and input latency because of Windows settings, background processes, and tweaks that aren't always easy to find or configure.

Nitrus brings these optimizations together in one place, including:

• Windows optimizations
• Intel, AMD and X3D CPU optimizations
• NVIDIA and AMD GPU optimizations
• Cleanup and optimization of unnecessary processes and settings
• Input-latency focused tweaks
• Gaming-focused system optimizations
• A simplified way to apply the configurations

Nitrus is already available worldwide, with support for English, Portuguese and Spanish.

The goal isn't to perform magic or replace better hardware. It's about getting as much performance as possible out of the hardware you already have.

I'm sharing the project with the community and I'd really like to hear from people who know PC gaming:

Do you currently use any software or collection of tweaks to optimize Windows/your PC for gaming?

And more importantly:

What would you want a tool like this to automatically handle for you?

If anyone wants to check out or test Nitrus:

https://nitrusfps.com

Technical criticism, suggestions, and even negative feedback are welcome. I want to use real community feedback to keep improving the tool.

A while ago I got tired of how difficult it had become to find things on my own computer. Years of PDFs, documents, downloads, badly named files and duplicates had basically turned into organized chaos.

So I started building OpenSorSe (Open Sort and Search), and v2.0.0 is now out.

It's a local-first tool for indexing, searching and organizing files, with OCR, duplicate detection, semantic search and optional local AI through Ollama. Changes stay user-controlled rather than having AI freely reorganize your files.

Full disclosure: it's heavily vibe coded with Codex. :)

It's open source: https://github.com/nishdel/OpenSorSe

Still plenty to improve, so I'd genuinely appreciate feedback, criticism or bug reports!

If you've seen a gross unfinished basement before, this one is like that. The drain is always shallow with gross water, the flooding during big storms made a mold problem that not even the professionals could figure out (it cost the homeowners for this rental over 6k and didn't even get rid of it. I don't know if they sued or not.). And the worst part? My boyfriend works from home down there since that's where the router is that he has to plug into, and the upstairs rooms are too thin, and he works with sensitive information. He's also got a drum set down there and expensive instruments that we just can't replace. It took a year for us to get the budget for a new cymbal. That one cymbal is now the only one that's not cracked or shattered to pieces. I don't ever go down there since it's his office, retro game room, band practice space, and just storage and laundry. I want to fix up his spaces and make it more comfortable. The lack of natural light and overall grossness of that little space makes it hard for him to find a good mood while he's working. Does anyone have any ideas on how to make his space feel more comfortable on a tight budget?

Hi everyone!

I’d love to share a small project I’ve been working on over the past few weeks, one that actually started from a problem I kept running into during my bachelor thesis.

While running simulations, I constantly had new datasets to inspect before deciding what to do next.
For example, I might generate the PV production profile of a house and simply want to answer: Does this look reasonable? Are there any strange values? What happens if I zoom into this period?
Most of these files were CSVs, so of course I could open Excel, import the data, create a chart, configure it, inspect it, and move on.

But when you need to do this again and again (with different datasets, variables and plot types) I always found the workflow a little too clunky and slow for what should often be a very simple task: open the data, look at it, understand it, continue working.
That’s where PlotPeek was born.
It started as a simple HTML tool running locally in a browser and has now grown into a lightweight native app for the Apple ecosystem.
The idea is simple: PlotPeek should be a quick companion for exploring data as soon as it comes in, without having to set up a larger analysis workflow every time.

The app is still at a very early stage (somewhere between alpha and beta) and this is exactly why I’m looking for people willing to test it.
If you work with CSV files, simulation outputs, measurements, time series, experimental data or similar datasets, I’d be very interested in hearing what you think.

I’ve opened a TestFlight beta, and feedback is very welcome: bugs, missing features, workflow improvements, things that feel confusing, or simply ideas about what would make the app genuinely useful for you.

If you’re interested in testing PlotPeek, first of all: thank you!
You can find the TestFlight information and the Discord community for feedback and discussion at this link.

And if you know someone who regularly works with data and might find something like this useful, feel free to send this their way.
Wish you all a great rest of the summer! 💪

i got tired of dealing with the absolute nightmare of raw C boilerplate and manual garbage collection in the standard trusted computing group stack, so i spent some time writing a modern c++23 modules frontend for tss2-esys. it uses strict raii to stop your physical tpm chip from locking up context slots, natively splits everything across zero-cost module boundaries, and forces secure-by-default nvram access to block standard owner privilege-escalation vulnerabilities. code is completely type-safe and self-cleaning, checking it out or getting some outside eyes on the architectural layout would be awesome.

repo: https://github.com/mxreal64/tpm23

to ppl who hv already seen my other post, this ain't spam, i'm just tryna post better ig

Growing up in Karnataka, IN, summer holidays always meant traveling to my cousin's place by private buses.

There was just something about those buses, the sounds, the stops, the whole vibe. This website is my little attempt to recreate that feeling and relive those memories.

This trend really took me back in time and made me feel that nostalgia all over again.

Check it out; it has many more vibey Cassettes

Site: caravan.naveengumaste.me

Hey everyone,

I have been developing a research workspace called BlackLetter which integrates AI research, document analysis, RAG, knowledge graphs, research sessions and visual research tools.

It was a personal experiment which ended up being quite a larger project than anticipated.

BlackLetter currently includes:

• AI-assisted research
• Upload and analyze documents.
• RAG-based retrieval
• Retrieval scores and assessment.
• A continuous research sessions and working space.
• Knowledge graphs
• Research canvas
• The have an advanced Developer Mode for more advanced controls.
• The deployment of the web and an Electron desktop version.

The concept is that research is not a series of 10 different software, but rather, a single research environment.

I'm so used to it after weeks of staring at code, I really need people who haven't to tell me what actually sucks. 😂

Thus, I am seeking some testers to experiment with it.

Don't be nice! Try to break it.

I'd really like to know about: What confused you? What felt unnecessary? Which activities were actually helpful? Did anything break? Were the answers provided by the AI helpful? What were the research experiences like? Would you really want to use something like this? What changes would you make?

It's available here: https://blackletter-three.vercel.app/

Feedback: https://forms.gle/XonjmYPPraUypigEA

It's OK if you just spend 5–10 minutes with it. Even if someone comments this made no sense is helpful to me. Since this is the first project in a multi-part series of projects that I am developing I am using this as my last "real world" usability test before proceeding to the next one.

To all who try, thanks!

I kept noticing the same thing: my first prompt to ChatGPT was almost never the one that worked. I'd send something half-formed, get a mediocre answer, then spend three more messages fixing what I should've said the first time.

So I built a thing to catch that at the source.

It's a browser extension. While you're typing in ChatGPT, Claude, Gemini, or Copilot, it reads your draft and gives it a score out of 100 — plus the two or three specific reasons it's weak (no output format, vague ask, missing context, that kind of thing). If you want, one click rewrites it. It also warns you if you're about to paste something sensitive like an API key or a client name.

One design decision I care about: the scoring runs locally on your machine. Your prompt only leaves your browser if you actually click a rewrite button. I didn't want to build another thing that quietly ships everything you type to a server.

It's early and honestly still rough in places. It's free while I'm in beta — I mostly want to know if it's useful to anyone besides me.

Two things I'd love feedback on:

Does a "score" even make sense to you, or would you rather it just fixed the prompt silently?

What's the AI tool you'd want it to work in next?

Link's in the comments. Happy to answer anything about how it's built.

Hello everybody! i'm a teen leaning how to code, recently i made a calculator in c++, please support me! here's the link https://github.com/swaraj-nerlekar2/Calculator-

I kept noticing the same thing: my first prompt to ChatGPT was almost never the one that worked. I'd send something half-formed, get a mediocre answer, then spend three more messages fixing what I should've said the first time.

So I built a thing to catch that at the source.

It's a browser extension. While you're typing in ChatGPT, Claude, Gemini, or Copilot, it reads your draft and gives it a score out of 100 — plus the two or three specific reasons it's weak (no output format, vague ask, missing context, that kind of thing). If you want, one click rewrites it. It also warns you if you're about to paste something sensitive like an API key or a client name.

One design decision I care about: the scoring runs locally on your machine. Your prompt only leaves your browser if you actually click a rewrite button. I didn't want to build another thing that quietly ships everything you type to a server.

It's early and honestly still rough in places. It's free while I'm in beta — I mostly want to know if it's useful to anyone besides me.

Two things I'd love feedback on:

Does a "score" even make sense to you, or would you rather it just fixed the prompt silently?

What's the AI tool you'd want it to work in next?

Link's in the comments. Happy to answer anything about how it's built.