Smart Fills on @jtx_trade are so useful if you trade low-cap / low-liquidity assets. They turn one order into multiple smaller orders executed every 0.8 seconds. You can enter and exit with minimal slippage without rekting the chart when liquidity is thin. Best platform on Solana for trenches or trading majors with size.

It fills me with such pride and joy to announce that my version of Speak Now will be out July 7 (just in time for July 9th, iykyk 😆) I first made Speak Now, completely self-written, between the ages of 18 and 20. The songs that came from this time in my life were marked by their brutal honesty, unfiltered diaristic confessions and wild wistfulness. I love this album because it tells a tale of growing up, flailing, flying and crashing… and living to speak about it. With six extra songs I’ve sprung loose from the vault, I absolutely cannot wait to celebrate Speak Now (Taylor’s Version) with you on July 7th. Pre-order now at 💜💜💜

San Francisco @Techweek_ fills your calendar fast. Skip the panels. Go to the Exploratorium with us instead. Tech-Tile Tuesday features sensory exhibits, tactile puzzles, a craft cocktail bar, free food. If you're ready to trade keynotes for hands-on science, save you spot now:

Who actually fills your BTC → ETH swap? Pools, market makers, or solvers. Give me 5 minutes, and you’ll understand all three. 1. Liquidity already sits in the pool @THORChain, @Maya_Protocol, and @symbiosis_fi all rely on pre-positioned liquidity. Take BTC-to-ETH as an example. BTC and ETH liquidity is already available inside the system, so the protocol uses that liquidity to complete the swap. Deeper pools support larger orders and better pricing. @StargateFinance and @Allbridge_io use similar pooled-liquidity designs for cross-chain assets and stablecoins. 2. Market makers quote when the order arrives @Chainflip takes a more active approach with JIT liquidity. When a BTC-to-ETH order appears, market makers compete around pricing and liquidity, and the best execution gets the flow. @hashflow uses a similar market-maker model through RFQ. @SynapseProtocol also sits around this active liquidity / RFQ design space. How this works - Order appears. - Market makers compete. - User gets the best available quote. Execution quality here depends heavily on market-maker competition. 3. The user gives the outcome; solvers handle the rest The user says: “I have BTC and want ETH at the best available outcome.” Solvers then handle execution. @NEARProtocol, @AcrossProtocol, @deBridge, @mayan, @gardenfi, @RelayProtocol and @eco are all building around this idea with different architectures. The user focuses on the best result. Solvers focus on finding the best way to achieve it. Then comes the aggregator layer @lifiprotocol @RangoExchange @SwapKitPowered @THORSwap @SOCKETProtocol Aggregators search across routes and decide which execution venue receives the order flow. Wallets own the user relationship. Aggregators choose the route. Pools, market makers, and solvers compete to execute the order. More competition underneath usually means better pricing and execution for the user. Users win.

As zongzi fragrance fills the air for the #DragonBoatFestival#, breezes sweeping over wheat fields carry the lingering call of the hometown. The rolling wheat waves are waiting for you to come home. Stay tuned on June 18th, #2026AdventuresonDragonBoatFestival#