Codex and gg.xyz: How a four-person team is building a multi-chain social trading platform

Mockup of the gg.xyz social trading feed

gg.xyz is a multi-chain social trading platform where alpha callers earn trading fees from every coin they post about. Codex is the single source of truth for the on-chain market data behind their feed, leaderboards, AI token research, and upcoming Telegram trading workflows.

3 → 1
Data providers consolidated
4 people
building a multi-chain trading platform
$3,000/mo
to index a single on-chain game

gg.xyz is building a social trading terminal for crypto traders. The team's simplest description:

Twitter with a buy button.

A trader can post that they think that a token is going to go up, share the thesis behind it, and let other users buy from that post. Every call is recorded on-chain, giving followers more context on who called what, when they called it, and why.

This is intended to address the broken incentives in the market. If a trader has good information, the usual monetization path is to buy first, talk about the token later, and then dump on their audience. And then rinse and repeat until you've burned every possible bridge.

gg.xyz is building a cleaner incentive model: callers earn fees from the trading activity their calls help create.

"On the amount of data, nothing is comparable. We had CoinGecko for candles, Birdeye for something else, CoinMarketCap for this and that. With Codex, it's the whole package, and the speed is incredible. That's why we stuck with it."

Jo,
Co-founder & CTO, gg.xyz

From building their own indexer to focusing on product

The gg.xyz team knew the indexing problem better than most startups, because they had already lived it.

Before pivoting into social trading, the team spent 3.5 years running an on-chain questing platform. They ran growth campaigns for Starknet, Pirate Nation, and Latis, indexing fully on-chain games to power real-time quests like "go kill 10 hogs." They acquired 100,000 users and got very good at indexing weird chains.

That experience is exactly why they refused to build their own indexer this time.

"Pirate Nation alone cost us $3,000 a month to index, and that was just for quests. We kind of learned from our lessons."

For a multi-chain social trading platform, the math gets significantly worse. gg.xyz would need to index every chain and every DEX their users wanted to trade on, plus handle the volume that comes with trading on Solana and Base. With a four-person team, that was completely infeasible.

Before settling on Codex, the team were using a mix of Birdeye, CoinGecko, and CoinMarketCap. But that created its own problem: every new provider added another integration, another response shape, and another place for data coverage to break.

gg.xyz needed a single API broad enough to replace that patchwork.

gg.xyz interface showing token calls and social trading activity
Why gg.xyz chose Codex

Codex solved the first problem by giving gg.xyz the whole package through a single API.

Instead of using one provider for chart data, another for market data, and a third for token context, gg.xyz could consolidate on Codex. That lets the team spend less time stitching APIs together and more time building the social trading experience.

Then, during implementation, the speed stood out:

"The speed was incredible. That's also a reason to stay."

Codex also fits the way the team builds:

  • The GraphQL Explorer lets Jo test queries and inspect the response shape before writing any code, significantly shortening the integration loop.
  • As Codex shipped its MCP server and Claude skills, gg.xyz's workflow shifted further toward AI-assisted development. Jo screenshots the Explorer output, pastes it into his IDE, and lets the agent fetch the docs and handle the integration.
  • The API docs are rebuilt automatically from the GraphQL schema on every change, keeping the docs accurate and current for LLMs and developers alike.

The team also noticed that Codex feels built by people who "get it:"

"It feels like the Codex team is very crypto native, and that replicates into the product."

Today, Codex powers more than the trading data on the social feed. The team is shipping:

  • a P&L leaderboard
  • a Telegram bot that lets callers post tradeable token theses directly into their channels
  • an AI research workflow called REI Trenchers: a swarm of AI agents that do deep due diligence on trending tokens.

The REI Trenchers pulls trending tokens, top 10 holders, holder age distribution, and social account links from Codex, then scores each token on security, distribution, narrative, and sentiment before a user decides to buy.

For a small four-person team, that is the point of Codex. gg.xyz can focus on building ambitious crypto-native product experiences without worrying about becoming an indexing infrastructure company.

They build products, not infrastructure.