Eigen price

OpenLedger: AI Infrastructure Blockchain Institutional Research Report @OpenledgerHQ positions itself as the next-generation AI infrastructure blockchain, combining Ethereum L2 scalability with essential traceability and reward systems for AI development. The core innovation lies in the PoA (Proof of Attribution) framework and Datanets, allowing contributors who provide data, models, and compute resources to receive transparent and verifiable rewards. This is an attempt to address one of the biggest challenges in AI development: "the opacity of data sources and the imbalance of rewards." Technically, OpenLedger is an L2 based on OP Stack, integrating EigenDA for data availability. This enables processing of 100 to 2,000 transactions per second, fees of less than one cent, and storage costs that are 90 to 99% cheaper than Ethereum. Additionally, through OpenLoRA technology, it can run over 1,000 LoRA models simultaneously on consumer-grade GPUs, generating over 2,000 tokens per second and reducing latency to 20 to 50 milliseconds. This enables large-scale, real-time deployment of AI applications. Datanets are the core value proposition of OpenLedger. It is a community-based data collaboration network where each contribution is recorded through cryptographic hashing and timestamping, and the degree of contribution to model performance is measured through impact functions. This allows for an automatic reward system based on usage, termed "Payable AI." This provides contributors with fairer ownership and rewards compared to traditional centralized platforms. The tokenomics also supports this. A total supply of 1 billion OPEN tokens is used for various utilities such as gas fee payments, governance (GOPEN conversion), network validation, and reward distribution. More than 50% of the total supply is allocated to the community, while the team and investor allocations follow a long-term vesting structure. There is also a deflationary design through fee burning and slashing penalties. However, the $770 million FDV compared to the $8 million initial funding is seen as a sign of overheating, and the large-scale unlock scheduled after 2026 could act as a price pressure factor. In the competitive landscape, projects like Bittensor, Ocean Protocol, and SingularityNET are holding their ground. Bittensor has a strong network effect but lacks a robust data contribution reward system. Ocean provides a marketplace that guarantees data privacy but lacks learning integration. SingularityNET has strengths in service and agent provision but does not offer contribution rewards that encompass the entire lifecycle. OpenLedger aims to differentiate itself as a comprehensive stack covering the entire process from data collection to model deployment. However, it is still in the testnet phase, and large-scale stress testing or multimodal support has not been proven. The reliance on Ethereum L1 settlement could also increase cost and processing speed volatility. Regulatory risks remain. Especially with emerging regulations like the EU AI Act enforcing transparency and explainability, OpenLedger's PoA could be both an opportunity and a challenge. Future scenarios are diverse. Conservatively, it may remain with less than 1% market share as a niche ecosystem. In an optimistic outlook, PoA could establish itself as an industry standard, achieving over 5% market share and hundreds of millions in ecosystem revenue. The most likely baseline scenario is to align with the growth of the AI data market, securing thousands of Datanets and tens of millions in TVL by 2030. For investors, OpenLedger presents a high-risk, high-reward opportunity with its technical differentiation and contribution reward structure. For developers, it is a platform to monetize contributions through the AVR marketplace and IAO, while for businesses and policymakers, it meets regulatory and compliance needs with its data source tracking and reward system. In conclusion, OpenLedger presents an ambitious vision of blockchain-AI convergence that seeks to solve scalability and fairness simultaneously. The key to success lies in mainnet performance validation, expanding enterprise adoption, and maintaining differentiation amid regulatory and competitive landscapes. In an environment where explosive growth in the AI market coincides with demands for transparency, OpenLedger has the opportunity to realize that vision, but execution will determine its success.

My Altcoin Watchlist (September) Aster: I wasn't that early but early enough which is all you need sometimes. TP'd a portion and letting the rest to run. Think people are still midcurving this hard but time will tell. This has the perfect ingredients to be a hated run imo. MNT: Trying not to midcurve this. One of the strongest coins this cycle and such a ways off from BNB valuation wise. Not a fair comparison but think people are going to factor this in as a narrative so to speak. Don't want to be offside if this plays out. AVAX: Looks solid as well. Retraced the dump swiftly and showing some meaningful strength against SOL. Fits the DAT narrative too. Eigen: Bit of a longer term trade. As others have stated, it recently broke out of a 6 month accumulation range and still pretty under the radar. Not high conviction but structurally it looks good. The past few weeks I've been focused on simplifying decision making and being better on execution. I'm not going to pretend I know where the top is. Bidding strong assets through aggressive liquidations have worked pretty well in the past so far so not trying to overthink it. On the app side recently started using @tradeparadex after being pilled by @trevor_flipper and it's been really smooth so far. Hyperliquid is great but the fees can be annoying so it's good to have these zero fee alternatives like Lighter and Paradex. Competition is good imo. Note: I have positions in all of the alts listed here.