A Smarter Way to Track Token Launches on Believe

If you’re diving into the world of decentralized finance (DeFi) and token launches, you might have come across the Believe platform—a SocialFi hub where users can create and launch tokens through social interactions on X. Recently, a post by @0x01yuqi on May 17, 2025, caught attention by revealing a more efficient way to monitor token launches on Believe, skipping the sluggish Twitter scraping method. Let’s break down the strategy and explore how you can apply it to stay ahead in the fast-paced crypto trading game.

Why Twitter Scraping Falls Short

Many traders rely on scraping Twitter replies from accounts like @launchcoin to catch new token launches on Believe. However, as @0x01yuqi points out, this method has a major flaw: it’s slow. By the time @launchcoin replies to a tweet, other traders may have already sniped the token on-chain, leaving you holding the bag—or rather, handing it to someone else. In the crypto world, speed is everything, and waiting for a Twitter reply can cost you big opportunities.

The Power of On-Chain Monitoring

Instead of relying on Twitter, @0x01yuqi suggests monitoring on-chain activity directly for the fastest results. Here’s how it works:

• Set Up a gRPC Node: You’ll need a low-latency gRPC node to monitor on-chain data in real-time. gRPC is a high-performance framework often used for microservices, and in this case, it helps you tap into blockchain transaction logs quickly. If you’re new to gRPC, it’s a system that allows different applications to communicate efficiently—think of it as a super-fast messenger for your blockchain data.

• Target the Router Address: Focus on the router address dbcij3LWUppWqq96dh6gJWwBifmcGfLSB5D4DuSMaqN. This address handles transactions related to token launches on Believe. By monitoring its logs, you can catch new token activity as it happens.

• Filter for Key Instructions: Look for the initialize_virtual_pool_with_spl_token instruction in the transaction logs. This instruction signals the creation of a new token pool on Believe, and it contains critical details about the token, such as its name, symbol, and a URI (a link) pointing to more metadata.

Digging Into Transaction Hashes

To illustrate, @0x01yuqi shares an example transaction hash that created a token called BUNBUN. The hash contains fields like name ("dReaderapp"), symbol ("BUNBUN"), and a uri linking to additional metadata. Here’s a snippet of what you might find when you access that URI:

{
  "name": "dReaderapp",
  "symbol": "BUNBUN",
  "description": "BUN BUN may have been laid to rest… but legends never stay dead for long.\n\nWill he live on through $BUNBUN on @launchcoin",
  "image": "https://t.co/Jwa9zYViJR",
  "metadata": {
    "mentionId": "81b0088f-1960-4203-a8bc-ab40bfbb8c73",
    "tweetId": "1923534578834096527",
    "twitterConversationId": "1923534224285466731",
    "tweetCreatorUserId": "1393963626231382019",
    "tweetReplyAuthorId": "1393963626231382019",
    "tweetCreatorUsername": "528_otaku"
  }
}