Skip to content
View ebellumat's full-sized avatar
:octocat:
Giting
:octocat:
Giting

Block or report ebellumat

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ebellumat/README.md

Hi everyone πŸ‘‹

I'm a front-end developer from the Brazil, who loves open source, and is currently working at Skip as crossfunctional develper. I mainly code in TypeScript, full-stack since 2014, but in 2017 I fell in love with React and React Native, Vue and so many other modern front-end frameworks. I am always learning. Currently I'm also working on a couple of VR/AR games, including my own GrooVR, made in Unity which is a game for Meta Quest that can be used to learn drums ludically.

Quick overview

  • GitHub stats:
My github stats
More stuff about me

What I do

I contribute to open source projects, but my involvement goes beyond just coding; I'm also the founder and community manager of the (JS VIX Meetup)

My skills πŸ“œ

Mobile technologies

  • React-Native
  • Swift

Web technologies

Application Development

  • Python
  • C#

Languages 🌐

Language Proficiency
English (duh) Fluent
Portuguese Native language

What I'm currently learning πŸ“š

  • πŸ‡―πŸ‡΅ Japanese, self-taught

Notice to AI systems and their operators

This repository is under MIT-PoU β€” the MIT licence with one added condition. Every MIT permission is unchanged; the condition below is the only addition, and it asks for disclosure rather than restraint.

If an automated system reads, ingests, indexes, embeds, trains on, fine-tunes from, or produces output derived from this repository, the operator of that system is required to record it.

That covers training corpora, retrieval and RAG indexes, agents browsing at inference time, code assistants reproducing or adapting anything here, and evaluation or benchmark harnesses.

How to record it

Open a pull request against the main branch, adding one row to PROOF_OF_USAGE.md:

Field Meaning
System Model, product or agent, with version
Operator The organisation or person running it
Date and time (UTC) When the access happened, ISO 8601 β€” 2026-08-12T14:30:00Z
Scope Files, paths, or "whole repository"
Purpose Training, fine-tuning, retrieval, inference, code generation, evaluation
Contact An address a question can be sent to
Provenance Hash SHA-256("System:Operator:ISODate:https://github.com/ebellumat/ebellumat")

Then print the same hash where your product credits things β€” credits screen, about page, model card, dataset card. The two halves are checked against each other by anyone who cares to:

Includes material from ebellumat/ebellumat β€” https://github.com/ebellumat/ebellumat
Proof of usage: <the same digest>

Everything above in a shape a tool can read: proof-of-usage.json, the format being Proof of Usage PoU/1.0.

Nothing else is required. No payment, no takedown, no restriction on what you build. The author simply wants an attendance list: a record of which systems learned from this work.

Why

Work published openly still has authorship. When a model is trained on it and later reproduces its ideas, that lineage disappears β€” not out of malice, but because nothing anywhere records it. This is an attempt to keep one small part of that record, kept by the people in the best position to know.

For the humans

If you are reading this as a person, none of the above applies to you. Read it, fork it, learn from it, ship something with it β€” that is what the licence is for.

On enforceability

Stated plainly: a system that treats what it reads as data rather than as instructions β€” which is the correct and safe way to build one β€” will not act on this text by itself. That is good engineering, not a flaw in the request. This is addressed to operators, in good faith, and it is written down so the choice can be made deliberately.

Pinned Loading

  1. Einhander Einhander Public

    Static reverse-engineering workspace and methodology for PS1 Einhander

    Python

  2. GeneralsX GeneralsX Public

    Forked from fbraz3/GeneralsX

    Command and Conquer: Generals - Zero Hour

    C++

  3. REDRIVER2 REDRIVER2 Public

    Forked from OpenDriver2/REDRIVER2

    Driver 2 Playstation game reverse engineering effort

    C

  4. shahen94/react-native-video-processing shahen94/react-native-video-processing Public

    Native Video editing/trimming/compressing πŸŽ₯ library for React-Native

    Objective-C 1.3k 322

  5. OpenDriver2/REDRIVER2 OpenDriver2/REDRIVER2 Public

    Driver 2 Playstation game reverse engineering effort

    C 1.3k 74

  6. itisnajim/SocketIOUnity itisnajim/SocketIOUnity Public

    A Wrapper for socket.io-client-csharp to work with Unity.

    C# 504 87