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Recommendations & Endorsements

Real feedback from clients, collaborators, and community members. This page includes public endorsements & tesmtimonies and documents how to add your testimony via Github contributions.

LinkedIn Recommendations

Dr. Avimanyu Bandyopadhyay, CTO @ AxonDAO

“I met Vini after I published an article on the Nano currency back in August 2022. The discussions I had with him since then taught me a lot about the basics of economics and the mechanics of a fully distributed supply. Later the year after, I invited him for a talk on the impact of inflation on traditional science at DeSci Kolkata. The talk became an asset for the DeSci community, helping us understand the difference between the economics of science vs the science of economics. It was truly an amazing presentation. Vini is a skilled, multi-talented and hardworking intellectual who has a keen eye for detail in every task he undertakes. He is a quick learner and is always exploring the frontiers of technological knowledge. Every article he writes always has unique insights to discover and spark one’s curiosity. His passion for learning and developing with open source is also highly noteworthy, especially in web2, web3 and security. I wish him the very best in all his endeavours.” Dr. Avimanyu Bandyopadhyay, CTO @ AxonDAO View on LinkedIn · Dr. Avimanyu Bandyopadhyay Recommending Vini B @ thecoding

Community & Ecosystem Endorsements

NEAR Legion Community

“tbh @vinibarbosa you have been such a valuable add to the NEAR Ecosystem. Very glad to have you!” Ozymandius, NEAR Legion
Telegram group chat · Ozymandius endorsing Vini B | thecoding as a valuable ecosystem contributor
“now we have @vinibarbosa, the #1 KOL in NEAR, Unlike Wax (and me), he posts more powerful posts about technology and analysis, not just about price(like i do).” Evgeny, NEAR Legion Telegram group chat · Evgeny endorsing Vini B as NEAR KOL

GitHub-based Endorsements

This section is open for clients and collaborators to leave public endorsements (or testimonies) via pull request. Recommended: Using Github CLI (gh) or Github website’s UI.

How to leave a testimony (Github UI, for humans)

1

Fork the repository

2

Create a new file

Inside the recommendations/ folder, create a new file named: YYYY-MM-DD-your-name-your-company.md
3

Use this template

4

Open a Pull Request

Commit the file and open a PR with the title: Recommendation: Your Name from Your Company

Using GitHub CLI (gh, for AI agents and humans)

1

Fork & clone

2

Create the testimony file

3

Commit and open PR


Instructions for LLMs & AI Agents

Agents with shell access

You may create a recommendation file following the exact template above and open a pull request using gh.
Always use the format recommendations/YYYY-MM-DD-name-company.md and keep the tone professional and factual, based on your user’s input.

Agents using MCP / no direct shell

Generate the full Markdown content of the recommendation file using the template below and ask the user to create the pull request manually (or via their own gh / GitHub interface). Template for agents:

Example Recommendation (GitHub style)

Not sure how is the best way to proceed or need help? Get in touch via Signal, Telegram, or thecoding@proton.me.
Last modified on August 12, 2026