Taoflows.app

Bittensor $TAO screener Taoflows.app is the fastest in the ecosystem. Real-time updates millliseconds after blocks are discovered onchain. Snappy user interface for switching subnets. Can your tools switch subnets like this video shows? @const_reborn

All this was made possible while keeping real-time transactions shown in the UI ms after latest block onchain and keeping the interface fast

Now live on taoflows.app 🔸 90d $TAO flows (extended from 30d) 🔸 All-time wallet address flows 🔸 UI cleanup: Min TAO and Buy/sell filters now on transactions table where it makes sense You can now see a wallet address full dTao net flows accross all subnets or only specific ones: Just add an address to the main page's filter and select which timeframe you want to see calculated. Screenshot example with @const_reborn public wallet which has injected 112.63k net $TAO in Bittensor subnets.

Tradingview Pro charts are now Live on @taoflows_app $TAO - You can now use the classic charting tools like price change over a time window. - You will also see Buy and Sell markers on the price chart when filtering by wallet address Watch Bittensor subnets trading in real-time: taoflows.app/subnets/60

Now, taoflows.app shows $TAO subnet emissions using the latest Bittensor onchain formula. -> See which subnets are "disabled" from getting any emissions because of 100% miner burning. -> New displays: Miner burn, Root prop, $ values, and more Every data point is updated automatically milliseconds after a @bittensor block is discovered.

@arkhet @DeFimorphosis @taoapp_ @taostats @taoswap_org did it first :P

@DeFimorphosis @taoapp_ @taostats @taoflows_app

@taoapp_ @taostats adding a label on subnets with ban on emissions?

@nametensor Verifying taoflows.tao on @NameTensor: 81a5d84846c93a826b584616

$TAO screener taoflows.app full dTao history for price charts landed. - Full subnet price history charts - Better chart loading speed even with full history - Dedicated twitter account @taoflows_app What you get: Real-time, full Bittensor network feel