Binance Announces OpenLedger (OPEN) as 36th HODLer Airdrop, Trading Opens September 8

Key Takeaways:

• Binance has announced OpenLedger (OPEN) as the 36th project to launch on HODLer Airdrops.
• 10,000,000 $OPEN tokens distributed to eligible users one hour before the token goes live. 
• OPEN will become tradable on 2025-09-08 13:00 (UTC) against the USDT, USDC, BNB, FDUSD, and TRY pairs.

Binance has officially unveiled OpenLedger (OPEN) as the 36th project in its popular HODLer Airdrop program. Eligible users will receive their $OPEN tokens directly in their Spot Accounts by 12:00 on September 8.

The official trading of $OPEN on the Binance platform is scheduled to commence on September 8, 2025, one hour after the tokens have been distributed to users' Spot Accounts.

OpenLedger ($OPEN) Airdrop Details

• Project Name: OpenLedger
• Token Ticker: $OPEN
• Airdrop Date: September 8, 2025 
• Airdrops Rewards: 10,000,000 OPEN (1.00% of total token supply)
• Platform: Binance HODLer
• Eligibility Requirements: Subscribing to BNB Simple Earn or On-Chain Yields
• Snapshot Data: August 18 00:00 to August 21, 23:59 (UTC)

According to the announcement, an additional 15,000,000 $OPEN will be allocated 6 months later to those who qualify for the airdrop. The details of the next airdrop will be made available in the airdrop page on September 6. 

Additional details are usually made available 24 hours after the official announcement of a HODLer airdrop campaign. Users can check official channels to keep up with the details of the launch.

            How To Qualify for the $OPEN Airdrop

Binance's HODLer Airdrop program is designed to reward loyal BNB holders retroactively for holding the token. For example, the eligibility for the $OPEN airdrop is based on historical snapshots of users' BNB balances between August 18 and August 21. 

This means that you cannot participate in or qualify for the $OPEN airdrop if you hadn't subscribed your BNB for Simple Earn or On-Chain Yield products between the snapshot period. If you did, the airdrop will be automatically added to your spot account.

To do this, log in to the Binance exchange and head to the Earn page. Search for BNB on this page and subscribe to Simple Earn (Flexible and/or Locked) and/or On-Chain Yields products with your BNB holdings. Snapshots of your balances and total pool balances will be taken randomly multiple times. 

Binance will then use historical snapshots of your balances at random periods to determine your eligibility for upcoming Binance HODLer Airdrops and calculate your rewards.

OpenLedger ($OPEN) Listing Details

According to the official Binance announcement, $OPEN will be listed on the platform on September 8, 13:00 (UTC). At launch, $OPEN will begin trading against five pairs, including USDT, USDC, BNB, FDUSD, and TRY.

About OpenLedger (OPEN)

OpenLedger is a next-generation decentralized blockchain platform specifically designed to power artificial intelligence (AI) applications by creating an open ecosystem for building and monetizing specialized AI models called Specialized Language Models (SLMs).

In contrast to general-purpose blockchains, it is designed to support AI workflows- focusing on transparency, attribution, and fair rewards to contributors. The lack of data transparency, unfair distribution of rewards, and barriers to entry by smaller developers are critical AI industry issues that OpenLedger is trying to solve.

The main innovation of the platform is its decentralized Datanets, which are professionally curated datasets in multiple industries. These datanets allow developers to develop highly trained and efficient AI models that target niche applications outside of large language models like GPT-4o, BERT, Claude, and OpenAI.

The platform also allows users to tokenize AI models by an "Initial AI Offering" process, enabling fundraising, governance, and liquidity of AI projects, and democratiZing AI development. Additional notable highlights are a user-friendly Model Factory to fine-tune AI models and Open LoRA, an effective architecture to run multiple fine-tuned models on constrained hardware resources.