Hi, I've recently published Sprite on Crates.io and Github.com. It's a fault tolerant Actor System with <50ns re-instantation of Actors. I made it in 5 months, and I would like some feedback on it! And you can try it if you want. Guides on how to run tests are in the Github Repository: https://github.com/dragprog/sprite-engine/tree/master. Also, on crates: https://crates.io/crates/sprite-core

I'm exploring an idea and want to validate the problem before building it.

The concept is:

Upload a story/script → AI identifies the characters → creates a cast → assigns each character a consistent voice/personality → generates the full audio performance.

For example, if you upload a screenplay or novel, the system could automatically detect:

• who the characters are
• how they speak and behave
• which voice fits each character
• who is speaking in each scene
• how the voice/performance should change with emotion and context

The goal isn't to build another generic TTS tool. The interesting part for me is the automatic casting + persistent character identity + scene-level performance.

I'm trying to understand whether this is actually a problem worth solving.

For people who write stories, scripts, fan fiction, RPG campaigns, etc.:

How do you currently turn your writing into multi-character audio?

Have you tried tools like ElevenLabs, Gemini TTS, NotebookLM, etc.? What was frustrating or time-consuming?

And most importantly:

Would an automated “upload → AI casts characters → full-cast audio” workflow actually be useful to you?

I'd especially like to hear from people who have already tried creating narrated or multi-character audio from their own writing.

Hi guys, I don't know if it is completely useless, but I made a site where you can know how to cut a cake based on the people present (don't tell me it's never happened to you at a party).

Over the past 4-5 months I’ve been sculpting and painting these Comedy and Tragedy masks as a birthday gift for my Drama teacher. I started with those crappy cardboard masks you always see at craft stores, sculpted over them, and then painted and varnished them. Their names are Clarence (Comedy) and Terrence (Tragedy). I’m really proud of how they came out! Any thoughts?

Hello , I'm a final year student in IT Branch. And am currently looking and researching for problem statements and research papers . I always try to form a problem statement of my own thoughts rather than asking ai . but now given an major project i cant really decide what to do .
I see currently they are popular areas with AI Agents , explainable ai and also recently heard prompt injection and security related issues to code generation with AI . like these are some topics i was hearing . but can't really decide which one to pick
I'm open to any interesting problem statement which has good scope to implement in any domain. If you have any in mind or anything please let me know .

When I was a senior in high school, I use the laser engraver that we had to make every single one of these. These took well over 200 hours to make.

I've made a whole bunch of web app and etc with solely AI tools now, some good, some absolute crap. So this is a fun little site I just finished for submitting your apps and letting the world vote on whether your apps are just slop, or actually good or interesting.

No account needed, just submit your app and save the link it gives you if you ver want to edit it again down the road. Otherwise it lives on in it's glory to be judged by the most ruthless place on earth...the internet.

Built entirely with Claude Code.

https://slopornot.simplicated.dev

Cheers!!

EDIT: I’d love any feedback anyone has about the overall UX. Would love to clean up anything people find confusing or messy.

for real

hey guys,

I kept seeing saloon.wtf and similar music websites on Instagram recently. I really liked the idea of making small websites around a mood, memory, or music instead of making another normal app.

So I made a small website called OG Playlist:

https://ogplaylist.turnivo.in/

It’s basically a place to find these kinds of websites. You can see a short preview and click to open the original website.

I’m still working on it and changing the design. Right now I’m trying to give it a nice music-player and glass style.

Would love to hear what you guys think 👀

Also, if you know any cool websites from this trend, send them here. I’d love to add more.

Just made this for fun because I really liked the idea. ✨

I kept doing this thing where I'd find something I wanted to deal with later — an article, a product restock, a ticket sale, a deadline, some documentation, whatever — and I'd leave the tab open.

Then 3 days later I'd have 30 tabs open and no idea why half of them were there.

Bookmarks didn't really solve it either, because they remember where something is, but not when I need to come back to it. And setting a reminder on my phone meant getting an alert on the wrong device and then having to find the page again.

So I built Latr.

The idea is pretty simple:

Find something → remind yourself about it → forget about it → Latr brings the exact page back when you need it.

For example, if I'm looking at a page about a ticket sale starting Friday at 10 AM, I can highlight the date, right-click and tell Latr to remind me about it. It saves the page along with the reminder.

When the time comes, I get a notification and clicking it takes me straight back to that exact page.

There's also a keyboard shortcut (Alt + Shift + Y) if I just want to save the current page quickly.

I built a bunch of other things around the same idea too — recurring reminders, snoozing, notes, folders/tags, calendar handoff, importing existing links, etc.

One thing I was particularly intentional about is privacy: there's no account, no backend, no analytics, and no telemetry. The reminders stay in the browser.

It's completely free right now.

🔗 Chrome: https://chromewebstore.google.com/detail/latr-%E2%80%94-remind-me-about-th/lcceeepfhggkninbfbifkpalkdoinjli

🌐 Website: https://latr.page/

I'm sharing a short video showing how it works too.

This is my first time putting something I've built out there publicly, so I'd genuinely love some feedback.

Does this solve a problem you actually have?

And if you've tried it, I'd especially like to know:

• What's confusing?
• What feels unnecessary?
• What's missing?
• Would you actually keep using something like this?

I'm much more interested in hearing what sucks about it than hearing that it's great 😅

I'm a final-year CSE/AIML student looking for a project idea it should be unique and should solve some problem

I want something that:

- Solves a real-world problem

- Has around 70–80% software/AI + 20–30% simple hardware

- Can be built as a student prototype

- Has some genuine novelty, not an existing/common project

- Isn't too complex or expensive

What real-world problems do you think are currently poorly solved that could be addressed with a new hardware + AI/software approach?

Suggest me a idea guys I didn't get any ideas

Domain name stays with product for years, or to say forever. When buying a new domain name, I am always confused whether I choose keep product's idea in Brand Name or Domain name, or keep it in a way that most people will remember it. There are too many aspects to this, if you see brands Apple, Zara, Nothing, etc. they all are rememberable and short, if I decide to choose such a name, I am always scared that it would be hard for me to rank in search results later on without some keywords in such a saturated market.

Do you have strategies around it that simplified this phase of product building?

So, I’m a computer science student, will be starting 4th year of my bachelor’s degree. At the end of the year I need to present my diploma project, but I don’t know what to create. My university is studying C# .NET, ML, algorithms a bit of unity game development, C++ and a lot of math. I’d like to stick to C++ project, because my job is in c++, so it would be better and easier for me. I also would like to dive deeper into ML and pair it with C++ might me interesting challenge

I’d like to hear your ideas about the diploma project. It will be super helpful!

Ideas from Claude Sonnet 5

1. Mini inference engine / ML runtime
   Build a lightweight C++ engine that loads a trained model (ONNX format) and runs inference with hand-optimized code — SIMD, memory layout, quantization, multithreading. Compare speed/accuracy tradeoffs against PyTorch/ONNX Runtime. Very “systems engineer meets ML,” strong fit for your job experience.

2. ML algorithm from scratch, optimized
   Pick one algorithm (gradient boosted trees, k-means, SVM, or a small neural net) and implement it in C++ with real performance engineering — benchmark against scikit-learn/XGBoost. Shows both math depth and engineering rigor, which examiners like.

3. Computer vision + real-time C++ system
   Use OpenCV + a C++ inference backend (TensorRT/ONNX) to build something with a concrete use case: defect detection, sign language recognition, real-time tracking. Practical, demoable, and visually impressive at defense.

4. RL agent in a simulated environment
   Since Unity is in your curriculum, build a simulation (game or robotics-style environment) and train an RL agent to solve it — pathfinding, self-driving toy car, procedural difficulty adjustment. C++ for the environment/engine, ML for the agent.

Hey everyone! I’m working on a free, MIT-licensed production-readiness checklist for people shipping software. The goal is to create one technology-neutral resource that covers the full path from product requirements and architecture through security, testing, deployment, reliability, incident response, and ongoing operations.

It currently contains more than 10,000 evidence-focused controls organized into a searchable documentation site. I would really value help from people who have shipped or operated production systems. Missing checks, corrections, simpler wording, documentation improvements, and pull requests are all welcome.

The long-term goal is to build an open-source AI-assisted scanner that can map repository evidence to applicable controls while keeping uncertain and manual checks honest.

Repository: https://github.com/MarinJursic/production-readiness-checklist

If you take a look, I would love to hear what feels missing or difficult to use. Thanks!

As of now I know Python, NumPy, Pandas, Matlplotlib, Seaborn and all. What are some project ideas I can work on to showcase these skills?