Happy New Year 2026 fam 🎉 As we await Chrome Web Store approval, we're releasing our full AI web app: VANTEDGE.xyz for @Polymarket. Prediction markets misprice information. We built an AI that hunts mispriced Polymarket bets in real-time—detects information asymmetries, edge, arbitrage opportunities the crowd misses. One click reveals structural inefficiencies. Honestly? This has been performing so well in our benchmarks it's got us seriously thinking about leaving everything and going full-time Polymarket trader. If you're using VANTEDGE, DM us your performance feedback. We want to hear what's working. Educational and research use only. Not financial advice.

Coming in January 2026 to a prediction market near you. 🍿🔮

Separating Signal from Noise: Imprnt.ai and Our Migration to @Base After two years building in the trenches of decentralized science, we're taking everything we've learned and doing something different. Today, we're announcing the evolution of Preprints.io into Imprnt.ai—an umbrella project for verified social information. We're also migrating our token, $PRNT, from Polygon to Base, and refocusing our efforts on what actually works: verified knowledge infrastructure and social products that scientists and AI agents genuinely use. 1. What We Got Wrong Let's start with honesty. We built Preprints.io with conviction, shipped fast, and learned hard lessons along the way. 1.1. People don't want research manuscripts as NFTs. We believed tokenizing papers would unlock new models for scientific publishing. The market told us otherwise. The NFT wrapper added friction without adding value for researchers who just want their work discovered and cited. 1.2. More fundamentally, people don't want research manuscripts at all. This realization cut deeper. What researchers, institutions, AI agents, and decision-makers actually want isn't the paper itself—it's what the paper represents. Peer review and publication are proxies, an ersatz system for something more essential: verified knowledge. Knowledge you can learn from. Knowledge you can build on. Knowledge you can act on with confidence. That's what matters. 1.3. Our infrastructure partners didn't prove as Lindy as we hoped Back in 2024, we published our rationale for building on Ocean Protocol and Polygon: "Both ecosystems have proven to be Lindy, demonstrating their longevity and capacity to adapt to new tech cycles in the industry. They are pre-2020 bull cycle OGs... Ocean is a pioneer in DeSci and Decentralized AI... while Polygon was the first L2 at scale... Our two infrastructure partners show notable similarities in their trajectories, demonstrating their OG status and robustness." We meant every word. And to be clear: Ocean Protocol's team was genuinely supportive throughout our journey—they championed our work publicly even as they navigated their own evolution through and out of the ASI Alliance. They were great partners, and we're grateful for that support. But the landscape shifted. Ocean has struggled to find its next chapter. Polygon's AggLayer narrative created confusion rather than clarity, and the ecosystem offered us little support as builders. Meanwhile, Sophon—where we deployed SPHNX and saw genuine excitement—pivoted to become a social neobank. It's all the friends we made along the way, and both Sophon and Ocean Protocol were great ones. But sometimes the best decision is to move where the momentum is. 2. The New Direction: Verified Knowledge Meets Social We're consolidating around what's working and doubling down on products with real traction. 2.1. Migrating $PRNT to Base Base has become the obvious choice for builders who want to ship fast, reach users, and tap into genuine developer momentum. The ecosystem's focus on consumer crypto and accessible onchain experiences aligns perfectly with where we're headed. We're excited to build where the energy is. 2.2. Preprints Discovery: The Core Preprints Product Discover.preprints.io has quietly become something special. It has organic usage from academics who face a genuinely hard problem: predicting the quality and relevance of the thousands of preprints published every day. As one researcher noted in this video, the platform solves a real discovery problem (youtube.com/watch?v=zjmJu9Kx…). Moving forward, Discover will become what preprints.io points to, and we're enhancing it with social features and AI-powered digests that make cutting-edge research accessible. 2.3. The Science App: Verified Reports at Scale TheScience.app has achieved genuine product-market fit, generating thousands of verified reports. The validation loop works. Now we're making it more social, turning verified knowledge creation into a collaborative, community-driven process and better utilizing the generated reports and data. 2.4. SPHNX: AI-Augmented Social Games on @Base SPHNX.ai generated revenue on Sophon and distributed thousands in prizes to participants. The concept of AI-augmented games resonates. Imagine what it becomes on Base, with access to a thriving ecosystem and better infrastructure. We're migrating it and exploring this design space further. 2.5. The Studio: Partnering with Research-Native DAOs Our partnership with SpineDAO has been remarkably fruitful. We're building Spinal with them—an AI-powered private social network for spine surgeons and researchers, trusted by 200+ experts from leading institutions. It's an operating system for discovery, combining global expert networks, AI literature review (Vincent AI), hypothesis generation (Chronos Engine), and secure collaboration. This is the model we're scaling. We're launching The Studio—a practice focused on working with research-native teams to design and ship systems that make scientific knowledge programmable. We'll partner with more DAOs that have deep scientific expertise. 2.6. Info Finance and Prediction Markets Verified knowledge plus social features naturally points toward something we're increasingly excited about: information finance and prediction markets. When you can verify claims, aggregate expert opinion, and create liquid markets around knowledge itself, new primitives emerge. We have new products in development here. More soon. 3. The Mission: Separate Signal from Noise The internet gave us infinite information. AI is about to make that infinity uncountably larger. The bottleneck isn't access—it's verification. It's knowing what's true, what's relevant, and what you can safely build on. That's the problem Imprnt.ai exists to solve. We're building infrastructure for verified knowledge—systems that help humans and AI agents separate signal from noise. We're making that knowledge social, collaborative, and actionable. And we're doing it on Base, where the tools and community make ambitious consumer crypto products possible. If you're building in decentralized science, working on verified knowledge systems, or exploring the intersection of AI and information markets, let's talk. The future of knowledge infrastructure is being built right now. We're building it in public. Follow our progress: Imprnt.ai