This is the official account of https://t.co/UsuqNFKaBt. We are rebuilding our twitter again and this is the new home for all future updates. Our old handle (@Shyft_to ) was compromised 3 months ago.⚠️ Please unfollow & report it. Spread the word. Let’s rebuild stronger. 💙

Stop rebuilding the parsing layer. Focus on your trading logic. GitHub: https://t.co/rbAnBTBWye Ladybug is early, evolving, and built from listening to real user pain of hundereds of devs. Feedback, issues, and PRs welcome. P.S: Rust sdk coming right up.

These few lines will stream all account updates for pumpfun, parsed and decoded.

Only interested in token migrations? streamer.onDetectInstruction("migrate", processData); This single line filters out all the noise and only gives you parsed txs involving migrate instruction. From weeks of effort to just 5 lines of code.

This is all you need to stream all pumfun txs, cleanly parsed. parser.useDefaultInstructionParsing(true); //This nifty toggle enables instruction parsing for token and system progs

This means you can: - Build trading strategies faster - Write monitors & alerts in minutes - Focus on logic, not plumbing Ladybug reduces time-to-strategy dramatically.

Introducing Ladybug SDK 🐞 Ladybug is a TypeScript SDK that gives you structured, parsed Solana data on top of Yellowstone gRPC. - Parsed transactions, accounts and events - In-built Instruction detection - Enable Token, Token22 and System program parsing with a toggle - Super

Every Solana trading strategy starts with the same mistake - rebuilding the Yellowstone gRPC parsing layer from scratch. That’s weeks of work before writing a single line of strategy logic. Ladybug SDK fixes that 🐞 Focus on strategy, not parsing🧵👇

My data journey has been... a trip. Fell in love with data analytics 'cos I love numbers. Started like everyone else: Tableau & Power BI. "Behold, my beautiful pie chart! Such insights!" Ventured into SQL, then Python. Then discovered ML on Kaggle and it was love at first

Here's some working examples in rust and TS. We benchmark new @Pumpfun mints RabbitStream vs Yellowstone gRPC with the same client. https://t.co/WR9a0JF0pp Docs: https://t.co/uO2JJwBhT3

Already live on all major regions AMS: https://t.co/NNrWTY6opz VA: https://t.co/78EqeAswEW NY: https://t.co/4RkrEVyXwt FRA

Note: These are unconfirmed TXs → no logs, inner ix, or balance changes. Speed > context.

What you get: - Ultra-low latency, powered by multiple shred sources - Yellowstone-style filters - No custom decoding - Same TX structure (minus meta) Perfect for sniping + real-time detectors.

Shreds are fast but painful: - no filtering, - huge load, - hard decoding, - expensive. RabbitStream gives you shred-speed TXs without the headaches.

Introducing RabbitStream 🐇⚡️ Stream unconfirmed Solana transactions with gRPC-style filters. Built for devs who need the earliest possible signal.

how am i only finding out about @shyft_hq now??? was starting to not feel great about helius leadership shilling $ZEC making me want to change. seems i might have found where to..

@anshu_code @Pumpfun @solana It’s possible with @shyft_hq Rabbitstream 🙃

My next article after a long break will be focused on how I built a real-time trading application for @pumpdotfun and @bonk_fun tokens from scratch with the following stack: Backend: @golang, Kafka, @kubernetesio, @Docker, @shyft_hq gRPC, WebSocket Frontend: @nextjs, @typescript

1/ Jetstreamer, a high performance geyser replay tool for @solana built by @Sam0xSol, just broke 1.5M TPS streaming transactions over the internet from @triton_one Old Faithful archive directly into a geyser plugin, breaking our previous internal record of 1.27M TPS 🧵

Life Update - When Solana was at $10 and the market was brutal, we started Shyft to change the dev experience on @solana . When almost no one was building, we believed in the tech and kept pushing to make dev ex 100x better. With the small funds we raised, surviving in the

S/O to @shyft_hq for the enjoyable RPC experience at a reasonable price