[Resubmission] Open-Sourcing the GRAMO Loyalty Platform | xGov

Resubmission Open-Sourcing the GRAMO Loyalty Platform

Why a Resubmission?

  1. We were evaluated by a xGov committee with half of the members inactive, which made quorum impossible to reach;
  2. The note from xGov Council with personal votes was never published, which limited important info for xGovs;
  3. We listened the feedback of the community during the discussion of the previous proposal and decided to open-source the repository in advance.

These three circumstances encourage us to submit Gramo proposal again. We are fully open to continue discussing in this thread and strongly encourage xGovs to read previous discussion because some of your questions might be already answered before.

The proposal

GRAMO (gramo.io) is a blockchain-based loyalty and rewards platform built on Algorand, live in production since 2022. Customers at the three partner retail stores in Madrid, Spain, earn GRAMO tokens by uploading purchase receipts through our web app (app.gramo.io). Tokens are managed through custodial wallets with self-custody withdrawal, bridging Web2 users into the Algorand ecosystem without requiring them to understand crypto or interact with exchanges.

The GRAMO Loyalty Platform includes the following modules in the app:

The platform currently has ~2,000 registered users, >2,000 on-chain token holders, >7,200 verifiable on-chain rewards-related transactions from rewards-distribution project wallets.

What are we proposing?

We are requesting 150,000 ALGO to fully open-source the entire GRAMO application codebase (backend, frontend, and Algorand integration) under MIT license. We listened to the feedback of the community during the discussion of the previous proposal and decided to open-source the repository in advance at Gramo GitHub repository.

What the Codebase contains?

The GRAMO platform is a full-stack web application with three years of production hardening, built on Django REST Framework (backend) and React (frontend):

Why this might be important for Algorand builders?

Tokenized loyalty and rewards is one of the most talked-about real-world blockchain use cases. However, there is no open-source, Algorand-native reference implementation for it. Every developer building an ASA-based rewards system starts from scratch, solving the same problems we solved years ago:

GRAMO answers all of these with working, battle-tested code. Open-sourcing it means the next team building loyalty-on-Algorand doesn’t start from zero; they would fork, adapt, and ship.

It also gives the Python/Django developer community a rare production-grade Algorand reference. The ecosystem is heavily JS/TS-focused. This might broaden the on-ramp to Algorand. Open-sourcing the code could also help to position Algorand for AI searches on blockchain applications in the context of Django/React projects or Loyalty Rewards.

Why now?

The Algorand Foundation’s roadmap emphasizes mainstream adoption and real-world use cases. Loyalty programs are exactly this: they connect physical businesses to on-chain activity and bring non-speculative users to Algorand. The platform is mature, stable, and ready for community use. As GRAMO app is now open-sourced, others can build on it.

About the team
Gramo team is multidisciplinary and is composed of six members building on Algorand since 2021. The accumulated professional experience of the team includes more than 20 years of experience in the fields of IT engineering, IT security, IT Networking, Biomedical Scientific Research, Marketing and Online Positioning, Risk Analysis of Financial Markets, and Real State Market.

Some links to team info:

Adoption Metrics

Created By GRAM...NHUU // 2 months ago