Mad
3.4K posts


We’ve partnered with @jumptrading and @JupiterExchange to launch fully onchain, regulated trading for tokenized equities on @solana. This integration combines Securitize’s regulatory infrastructure, Jump’s liquidity, and Jupiter’s distribution for tokenized equities.






By popular demand, open interest cap has been raised to $20M.


Join the Maple Investor Call, February 26 at 3PM ET @syrupsid and @joe_defi will share: - Record monthly revenue and our path to $100M ARR - syrupUSDC scaling past $200M with @aave on @base - Zero defaults despite market volatility - Insights on SSF & token utility Streaming live on X.






no one talks about GMX anymore but they run an awesome cash flow business consistently doing ~$35m annualized in fees, $200m in daily volume all the pump & dump once-farmed DEXes with mercenary teams have since had volume go to zero GMX is still standing and loyal user base. deep value. P/E of ~3 prediction: over the next two years small cap value stonks / russell 2000 bros will start hunting undervalued tokens with great cash flows - the frontier of deep value is onchain

I AM GIVING AWAY FREE ELFA CREDITS + 10 "GOLDEN TICKETS" (NOTIONAL VALUE OF EACH = $15,000) I've been lucky enough to witness @elfa_ai's growth from an idea to execution over the past 18 months, and now they've been kind enough to offer me perks to give away to my community (frens, shualpha, etc.) If you don't know, @elfa_ai is a real-time social intelligence and trading platform that uses AI to filter "alpha" from the noise of platforms like X and Telegram. It allows users to track "Smart Accounts," analyze token sentiment, and now, also execute trades directly through its interface to act on market trends before they hit the newsrooms, through @HyperliquidX. Basically, just watch the video below: you can ask the AI to analyze tokens, recommend trades, and also go and execute the trades directly on hyperliquid. @hypetris_ privately told me he's been printing money off of this feature, so I am personally very interested to try it out. For this month, sign-ups through my link will offer exclusive benefits: - 100 extra credits/month, forever. - A chance to win one of 10 "Golden Tickets", which will include: 1. 10,000(!) elfa credits 2. 50% off of trading fees (0.025% on top of HL fees) 3. 20% fee rebates app.elfa.ai/register?refer… In other words, you get free access to an unbelievable social intelligence platform with plenty of insights, charts and accounts to track, as well as free credits to ask the AI whatever you want, AND you can also trade directly from the app directly on Hyperliquid, and even let the bot trade for you. I have a full list of people who sign up using my link for this campaign, and will pick the winners by this Friday, January 9th, 2026. Disclaimer: I, as an affiliate, will receive 50% of net trading fees of volume referred. Just want to be perfectly straight with you. :) PS/Alpha—highly recommended to try it out, if you're in the business of "farming" new apps in this space. :) Go look at how well Kaito did for early 'farmers'. Sign up for free: app.elfa.ai/register?refer…



NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It reasons what action it is about to take, the reason by which is came about that action, and the trajectory." Alpamayo introduces Vision-Language-Action (VLA) models, which enable self-driving systems to interpret what they see, reason about complex driving scenarios, and generate driving actions. The platform includes large reasoning models, simulation tools for testing rare and edge-case scenarios, and open datasets for training and validation. NVIDIA says the approach improves transparency, safety, and robustness in autonomous systems, particularly in complex real-world environments, and supports progress toward higher levels of vehicle autonomy: "With a 10-billion-parameter architecture, Alpamayo 1 uses video input to generate trajectories alongside reasoning traces, showing the logic behind each decision. Developers can adapt Alpamayo 1 into smaller runtime models for vehicle development, or use it as a foundation for AV development tools such as reasoning-based evaluators and auto-labeling systems. Alpamayo 1 provides open model weights and open-source inferencing scripts. Future models in the family will feature larger parameter counts, more detailed reasoning capabilities, more input and output flexibility, and options for commercial usage."







