StandX’s Maker design is worth a closer look. It currently runs through two complementary incentive layers.
Maker Points (foundation layer)
Users earn Maker Points simply by placing limit orders that sit on the orderbook.
If the order fills, those points automatically convert into Trading Points.
This layer doesn’t require professional market making skills. The goal is straightforward: encourage genuine limit orders and improve orderbook liquidity, not reward pure volume.
Maker Uptime Campaign (advanced layer)
This is aimed at consistent, professional market makers.
A 5M token monthly pool is distributed based on Maker Hours, not trades.
Maker Hours are calculated with three strict criteria in mind:
– Two sided quoting
– Tight spreads near mid price
– Continuous presence
To qualify per hour:
• Both bid and ask must stay within ±10 bps
• Only up to 2 BTC per side is counted
• The system samples multiple snapshots and uses the smaller side as effective size
Stability is then evaluated using percentile metrics (X50 and X70), with Maker Hours derived from the more conservative outcome.
Overall, StandX isn’t pushing “trade to earn.”
It’s turning traditional market making metrics, uptime, depth, and quote quality, into transparent, onchain incentive rules.
@StandX_Official
#StandX #DUSD $STAND
Yupp hosts 900+ AI models and solves the “too many models” problem with two clear paths:
1\ Model Picker for fast, in-the-moment choices based on task, speed, and cost
2\ Leaderboard to see which models users actually prefer for specific jobs like text, search, coding, or SVG
The focus isn’t quantity, it’s getting you to the right model quickly.
The future isn’t memorizing model names, it’s routing intent to outcomes efficiently.
@yupp_ai feels less like an AI playground and more like decision infrastructure, practical, cost-aware, and quietly powerful.
That’s the kind of tooling that compounds over time.
Reasoning, image gen, open…with over 900 AIs available to prompt for free, it helps to have a guide to how we classify the models on Yupp!
This Article dives into the details, so you can find the right models for your prompt – and explore our leaderboard with confidence.
Seeing @KAIO_xyz collaborate with Mubadala Capital feels like a strong signal.
Sovereign-scale capital doesn’t rush.
When they explore tokenized access to private markets, it’s about long-term infrastructure trust.
With $200M+ already onchain, KAIO looks increasingly like a base layer institutions are comfortable building on.
RWA adoption moves quietly, then all at once.
This feels like one of those early steps.