While having dinner with a friend, he said, “Nowadays, AI+chain projects are hyped one after another, but once they are listed on the exchange, the FDV prices are sky-high, making it impossible for retail investors to participate.”
I could only smile bitterly after hearing this - who hasn't been trapped by this old routine of high FDV + high circulation?
In fact, what people in the crypto fear most is not that they are going in the wrong direction, but that they are right but have no profit.
The @OpenledgerHQ I’m following this time is different: it’s listed on Binance, has a reasonable FDV, has a rhythmic airdrop release, and has obvious supply and demand tension, making it more suitable for ordinary investors to participate.
Over the past few weeks, OpenLedger has made three significant breakthroughs that are worth highlighting:
1) Binance Listing + HODLer Airdrops
Binance announced on September 5th that it will launch its spot trading platform (including USDT/USDC/BNB/FDUSD/TRY trading pairs) on September 8th. Initial circulation will be 215.5M (21.55%), with an initial airdrop of 10M open (1%), and an additional 15M over the next six months. The official contract will be published with the same BSC/Ethereum address (Seed Tag). This not only increases availability but also means that the timing of subsequent unlocks and secondary airdrops will directly impact the selling pressure structure.
2) The AI wallet partnership with Trust Wallet has been officially confirmed by multiple media outlets: the two parties are collaborating to create an "AI-native, self-hosted wallet experience," integrating natural language commands, verifiable attribution, and on-chain automation directly into the wallet interface (without giving up private keys). This step brings the "intelligence as the gateway" narrative to life in the product line.
3) Content and attention incentives: Yapper Arena
A six-month leaderboard for discussions on OpenLedger/decentralized AI, with a total prize pool of 2 million tokens (OPN/OPEN were previously used interchangeably), encourages in-depth content and long-term participation; it is naturally coupled with Kaito's Yaps rating/ranking ecosystem, which is conducive to forming a "measurable public opinion field."
🔧 The "Tradable AI Assets" route based on technology
OpenLedger treats data/models/agents as liquid assets. Using primitives like Proof of Attribution, Datanets, ModelFactory, and OpenLoRA, it brings training, publishing, billing, and distribution on-chain, solving the long-standing dilemma of "who contributed what and how much they deserve." This is the key differentiator in AI × Web3.
💰 Financing and Endorsement
In 2024, it received an $8M seed round (led by Polychain & Borderless, including HashKey, etc.). According to multiple reports, the company has accumulated approximately $15M in financing by 2025, and its narrative and capital are highly matched.
🌱 Ecosystem and developer support: OpenCircle
Officials announced that they will provide $25M in ecological funding through OpenCircle/SeedLab, focusing on decentralized AI protocols and applications, supporting incentives such as computing power/attribution points, reducing experimental costs and accelerating application implementation. 🧭 My observations on investors/builders: Supply side: Seed tags + phased airdrops → focus on unlocking rhythm and secondary liquidity. Binance
Product side: Pay attention to the Grayscale launch timeline for Trust Wallet integration (many sources say it will be announced on August 6, while industry sources mention an October pilot) to verify actual usage frequency and retention.
Ecosystem side: Track the mainnet activity of http:/scan.openledger.xyz and the first batch of projects supported by OpenCircle to assess whether "billable real use cases" have emerged.
In short, OpenLedger is advancing "AI asset liquidity" from a concept into a comprehensive product and ecosystem: exchange liquidity (OPEN) + wallet access (Trust Wallet) + community attention (Yaps/Arena). Ultimately, success will depend on whether the attribution mechanism can truly enable billable AI applications and a reusable data/model market.