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πŸ‘‹ Hey there, I'm Francesco!

I'm a software engineer currently riding the waves in Amsterdam. I have a background as a hacker, but these days I'm all about creating high-performance, cloud-native solutions. πŸš€πŸ‘¨β€πŸ’»

πŸ› οΈ What I'm working on

Right now, I'm focused on two main projects:

  • Telegram-Discord Bridge - I'm turning this fun side project into a real product. It forwards messages from Telegram channels to Discord servers, because, well... why not? πŸŒ‰πŸ“¬

  • ML-Based HTTP Transparent Proxy - This is a cutting-edge project that uses machine learning to filter out requests based on exploit-db data. It's all about security and efficiency. πŸ›‘οΈπŸ•ΈοΈ

In the past, I've built things like HyperCache and Go-Again, and I'm always looking for the next big challenge.

πŸ™ Why your sponsorship matters

Your sponsorship is more than just funds - it's a vote of confidence in my work. It allows me to dedicate more time and resources to building and improving open source projects.
With your help, I can take my projects to the next level, improve documentation, and offer better support to users. πŸ’ͺπŸ’–

1 sponsor has funded hyp3rd’s work.

@hyp3rd

It would be amazing to dedicate my time to working for the open source community, breaking down barriers and sharing knowledge and software without the constraints of a traditional 9-5 job.

Private Sponsor

Featured work

  1. hyp3rd/go-again

    `go-again` is an high-performance and thread-safe retry library with fine-grained access to the configuration options.

    Go 3
  2. hyp3rd/telegram-discord-bridge

    A bridge to forward messages from those pesky Telegram channels to a shiny Discord server, because why not?

    Python 14
  3. hyp3rd/hypercache

    HyperCache is a thread-safe high-performance cache implementation in Go that supports multiple backends with the expiration and eviction of items supporting custom algorithms.

    Go 3
  4. hyp3rd/go-worker

    `go-worker` provides a simple way to manage and execute tasks concurrently and prioritized, leveraging a `TaskManager` that spawns a pool of `workers`.

    Go 5

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