Tested your game, honestly I really had fun playing. Few things I would change is  the sound of the crowd is way too loud lol maybe some way of lowering the sound. Also I had a hard time tackling other players. Last thing is probably just me lol but it was in the shooting at the goal part that I was either shooting out of bound or kind of just passing the ball to the goal keeper. But I think your game is cool as it is in my opinion and you should go further in pushing the features. (sorry english is not my first language so I apologie in advance if some parts are not comprehensible) 

My game: https://waffle913.itch.io/deskspill

started vibe coding and slowly trying to make good games out of it, not just slop. This is my first attempt at a little game and I want to know if I missed anything or just what you guys think of the game. Any constructive critic is welcomed.

DataHarvester 1.0.0 — A Windows tool for collecting and verifying public files

Hi everyone!

I've just released DataHarvester 1.0.0, a small Windows desktop utility designed for repeatable collections of public HTTPS files.

I built it around a simple problem: when collecting files from multiple public sources, I wanted a way to keep track of what was downloaded, verify that local copies remained intact, and avoid downloading unchanged files unnecessarily.

What it does:

• Save reusable collection plans as JSON profiles.
• Download files from explicit public HTTPS URLs.
• Verify file integrity using SHA-256 references.
• Reuse previously verified local files when eligible.
• Browse collection history and export reports to CSV.
• Export verified copies without overwriting existing files.

The application is portable, works locally, and has a redesigned interface available in English and French.

Platform: Windows 10/11 x64
Price: CAD $4.99

It isn't a universal web scraper or a replacement for advanced download managers. The focus is on repeatable file collections, integrity checks, and keeping a clear record of results.

I'm interested in feedback, especially from anyone who regularly works with public datasets or downloadable research files.

Development transparency

DataHarvester was developed with generative AI assistance, including AI-generated code and documentation.

Product requirements, feature decisions, manual acceptance testing, and release approval were handled by the developer. The software has also undergone automated testing and dedicated reliability reviews.

DataHarvester runs locally and does not require an AI service or account to operate.

Project page: https://waffle913.itch.io/dataharvester