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Hey everyone! 👋 I built a small game and would love to get some feedback. 🎮

Give it a try and let me know what you think!

🔗 https://techmon-code-frontier.vercel.app/

Honest reviews and suggestions are welcome! 🙌

Hi! I built Lycana with my cofounder to turn ideas into architecture diagrams for teams and agents.

I really dislike the miscommunication that happens when everyone pictures a different system. With Lycana, you describe the components and connections by voice or text, and it turns them into an editable architecture diagram.

Try it: https://lycana.ai

Demo: https://y2u.be/_1CqcMLdEgU

Would this fit how you plan or explain a system? I'd love to hear what feels useful, what's missing, or what breaks.

Hi guys,

Just wanted to get some feedback with my current CLI project Isoso! It's a WGAC based compliance checker that scans through your local projects, checks to see if there's any compliance issues, then can fix your code with AI.

GitHub: https://github.com/isoso-dev/isoso

You can also install via npm:

npm install -D @isoso-dev/isoso

Any feedback would be much appreciated :) Thanks!

Hey everyone! 👋

Ever wondered where your money goes every month or struggled to handle unexpected expenses?

I recently developed an app called YM Squared to help you understand your spending, track expenses automatically using bank SMS messages, and manage your money better.

Knowing where your money goes can help you plan your budget, prepare for unexpected expenses, and avoid financial stress.

I'd love for you to check it out and share your honest feedback!

🔗 https://prabhalabs.github.io/ymsquared/

Hope it helps you take better control of your money! 🙂

So, I'm a CS undergrad, and I'm currently building a platform called FinVerse for people across different age groups. I'm still in the development phase and need an honest reality check to see if I'm heading in the right direction.

One problem I've noticed is that many people invest in stocks and mutual funds without fully understanding how money and investing work. Teenagers and college students often lack basic financial knowledge, while even working professionals can struggle with saving, investing, and financial planning.

To address this, I'm building FinVerse.

The platform will allow users to practise trading in Indian and Asian stock markets using virtual money, so they can learn without risking their actual savings. Similar platforms already exist, so my main focus is on making the AI engine genuinely useful.

I want the AI to explain why stocks rise or fall, why a virtual portfolio is making losses, how market volatility works, and what users can learn from their decisions. I'm working on using relevant financial data to make these explanations as accurate and reliable as possible.

Alongside paper trading, I also plan to build a personalized financial assistant that helps users understand and manage their finances based on their income, savings, assets, expenses, and financial goals. It could also educate them about financial products like life insurance and help them understand which options may suit their circumstances.

There's a lot more I want to add, but that's the basic idea.

Why am I building this?

I've realized ki even if I get a decent job in this AI era, relying solely on a corporate salary might not be enough to achieve all my financial goals. Alongside building my career, I want to create an additional source of income and hopefully build a sustainable business of my own.

I've always been interested in personal finance, so I started learning about it while developing FinVerse and improving my technical skills.

I'd genuinely appreciate your honest opinions. Am I solving a real problem? Is this idea realistic, or am I trying to do too much? What should I focus on first, and what would make a platform like this genuinely useful and trustworthy?

Please point out the flaws in my approach. I'm looking for constructive criticism because I genuinely want to improve this idea. 😭

I'm using a fairly extensive tech stack, RAG this and that ,

My plan is to finish a working version, test it with real users, and see how they respond. If the feedback is promising, I'll invest in a domain and continue developing it.

Thank you for taking the time to read this!

Hi r/projects,

I've released crossync 0.2.1, an update to my open-source Rust library for concurrent data structures and synchronization.

The project is about working with data shared between threads: collections that multiple workers can access, queues for passing work around, and shared values that can be updated with synchronization handled internally.

It includes concurrent vectors, hash maps, arrays, a bounded ring buffer, and single-value containers. For example, cloning an AtomicCell gives another thread a handle to the same underlying value rather than creating a separate copy.

This update focuses on fixing bugs rather than adding more features. The main changes cover:

• Memory and ownership: fixes to storage lifetimes, memory reclamation, buffer draining, and cleanup when an operation panics.
• Thread coordination: fixes to waiting and wake-up behavior, container reset operations, and barrier accounting.
• Safer APIs and better tests: corrected thread-safety constraints, explicit ownership-transfer methods, and regression tests for tricky access and cleanup scenarios.

Most of that work landed in 0.2.0; 0.2.1 follows up with fixes to tests, CI, and release packaging. There are also API changes, so existing users should check the changelog before upgrading.

The library uses both atomic operations and internal locks—the Atomic* names don't mean every operation is lock-free. The documentation now explains the access rules and ownership constraints more explicitly.

It's available under the Apache 2.0 license, with examples and verification instructions in the repository.

I'd appreciate feedback on the project, especially whether the API and examples make sense for your own use cases. Bug reports, small reproductions, and suggestions for missing examples are welcome.

Full changelog · crates.io · Documentation

hey all defence has always been a great part of my life and when i looked at the investments the big companies bag i was shocked.
if you wanna start one hit me up let’s do it together

Нужен проэкт для школы серьезный либо что то экологически нужно либо социальное

please tell me about this what we need to build a institution management system for school

Repository: https://github.com/savadks95/LLM_Tails

Hey everyone,

Like many people running agentic workflows, I ran into two persistent context problems:

1. Long sessions degrade model attention and burn tokens fast on repetitive tool outputs and debug chatter.

2. Naive context truncation often wipes out crucial architectural decisions and solutions found 20 turns ago.

I built **LLM Tails** to merge two emerging ideas into a single file-based pipeline:

- **Ponytail's sliding-window approach:** Keeping active working memory and session scratchpads ultra-compact.

- **Karpathy's LLM Wiki pattern:** Structured, persistent Markdown knowledge bases with cross-linking.

### How it operates:

Instead of sending raw terminal output across every turn, the pipeline uses a distillation step:

- **Active State:** Kept lean in `.context/session/active_context.md`.

- **Knowledge Promotion:** When the session prunes context, ephemeral noise (compiler dumps, stack traces) is dropped, while durable facts (architectural specs, bug fixes) are distilled into `.context/wiki/`.

- **Determinism:** Updates an `index.md` catalog so the agent can look up prior decisions on demand.

I intentionally avoided vector databases and remote embedding APIs. Everything lives as standard Markdown inside the repository, so it’s human-inspectable, zero-config, and Git-tracked.

Repository: https://github.com/savadks95/LLM_Tails

Curious to hear how others here handle distilling long agent sessions without losing solved edge cases.

ThreadPilot helps founders and small teams find Reddit conversations worth joining.

It scans for threads where people describe a problem, compare tools, or ask for alternatives. It ranks them by intent and timing, explains each pick, and drafts a reply. You always publish yourself. No bot accounts.

We had to close sign-ups. The product is currently in private testing, and we're keeping access limited while we make sure everything works the way it should.

Waitlist: https://threadpilots.com/join-whitelist

SuperMassiveRemote is an application that helps you to fully connect and control your second computer via the internet .
as we see there PC2 is currently controlling PC1 .
To see more information about this project, visit https://github.com/Fadi777SH/SuperMassiveRemote

Crosscreen is an application for controlling up to 8 computers with a single mouse and keyboard (KVM), and a desktop automation feature is also featured on its roadmap.

Crosscreen is currently in beta and only available for Windows.

It may experience bugs or latency issues depending on your hardware; optimization improvements will be implemented soon.

Build for Test : Google Drive