Joined January 2021
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If you build on Substreams, you've been getting faster data. We moved our reader nodes to @OVHcloud Bare Metal — 2-3x lower blockchain head latency, uptime measured in months, and faster catch-up on demanding chains like Solana and Base. Less waiting, more building. ovhcloud.com/en-ca/case-stud…
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Congrats to the @PropellerSwap team! Quality work being done by a quality team 💪
.@UniswapFND gives a grant for Tycho and Fynd to: Make Uniswap pool simulations really fast (down to 900 ns per pool quote). Index >100k Uni pools with 0 inconsistent state, even on Flashblocks and reorgs. Make v4 hooks tradable minutes after deployment. More soon.
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Replying to @streamingfastio
the only way to get flawless chain state
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Congrats to the @PropellerSwap team on your launch of Fynd! Powered by Substreams under the hood ⚡️ That’s how you get this level of speed—parallelized, streaming-first data pipelines delivering real-time performance at scale.
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Traditional financial institutions are building on blockchains. They need data infrastructure that meets compliance requirements, handles high throughput, and runs reliably at scale. Substreams was built for this.
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Kudos to the @streamingfastio team for continuing to make Substreams faster and faster. The team is doing great work to support the @graphprotocol
Substreams on @graphprotocol is getting even faster! The SQL sink (substreams-sink-sql) and core substreams-sink have been refactored to use the new V4 Blocks Streams protocol S2 compression (replacing GZIP). What’s new? V4 protocol: Switches to repeated BlockScopedDatas → enables batching of blocks from server to client (only during catch-up/backfill). S2 compression: Up to 30% better ratios than GZIP 7–10× faster CPU-wise. Real gains Batching S2 → up to 30% extra compression (vs. old 2–4% without batching). Result: Much faster sink times — especially historical reprocessing & initial syncs! Update now to take advantage: Substreams CLI & libs → latest substreams-sink-sql → latest These are live on StreamingFast endpoints — clients auto-negotiate. Faster indexing awaits! Check the changelog: github.com/streamingfast/sub…
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Substreams on @graphprotocol is getting even faster! The SQL sink (substreams-sink-sql) and core substreams-sink have been refactored to use the new V4 Blocks Streams protocol S2 compression (replacing GZIP). What’s new? V4 protocol: Switches to repeated BlockScopedDatas → enables batching of blocks from server to client (only during catch-up/backfill). S2 compression: Up to 30% better ratios than GZIP 7–10× faster CPU-wise. Real gains Batching S2 → up to 30% extra compression (vs. old 2–4% without batching). Result: Much faster sink times — especially historical reprocessing & initial syncs! Update now to take advantage: Substreams CLI & libs → latest substreams-sink-sql → latest These are live on StreamingFast endpoints — clients auto-negotiate. Faster indexing awaits! Check the changelog: github.com/streamingfast/sub…
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Want to try Substreams? ➡️Get an API key (no personal info required) ➡️Find a package in the Registry or write your own ➡️Choose your sink: Subgraph, SQL, PubSub, or direct streaming
Substreams lets you write Rust functions that transform blockchain data, then stream the output wherever you need it: To a SQL database. To aPubSub. Directly to your app or trading terminal. One pipeline, multiple destinations.
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BK (@brandonlkramer) rep’n The Graph at @solana mini-summit today… Solanaland loves Substreams 👀
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The Graph 2026 Technical Roadmap is live! → 6 specialized data products → Unified protocol layer via Horizon → Built for developers, AI agents, analysts & institutions Multi-service infrastructure for the onchain economy. From real-time streaming to SQL analytics, blockchain data infrastructure is evolving with The Graph. Read the full roadmap ⬇️
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The Graph Network 💪
State of @graphprotocol Key Update: The rollout of Graph Horizon positions The Graph as a modular, multi-service data protocol, laying the foundation for broader data services. QoQ Metrics -Active Subgraphs reached an ATH of 15.5k, ⬆️ 3% QoQ -Substream revenue hit a record high of 6.08 million GRT 💰 -Staked GRT increased for the first time in three quarters Check out the full report by @DrxlEth
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Flashblocks are now available through the @graphprotocol's Substreams as a beta feature on @Base Mainnet! 🏁 And we’ve sped it up by 300 ms since the Alpha release! ⏭️ What does this unlock? → Access transaction data as soon as it’s sequenced (every 200ms) → Build more responsive applications and accurate predictions → Process transactions incrementally prior to block finalization Your Substreams modules execute multiple times on the same block as new transactions arrive. The engine tracks what’s been processed and only sends new data and end-of-block notices. Getting started: ✅Update to Substreams CLI v1.17.9 ✅Use --partial-blocks flag ✅Endpoint: base-mainnet.streamingfast.i… Note: Avoid block-level aggregations in your modules—work only with transactionTraces for deterministic output. Try it out and share your feedback! We’re excited to hear how you use this. Docs with example: docs.substreams.dev/referenc…

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Core Dev @graphprotocol StreamingFast (@streamingfastio) Jan '26 Highlights 🔥 • Flashblocks now in beta on Base, early access for high-speed data • Besu integration moved into third-party validation • Monad extended blocks cleared internal testing • Local-first Substreams dev setup now fully documented • Open-sourced Substreams Skills for AI coding agents • Postgres sinks upgraded with efficient delta updates 🔜 Next up: deeper latency cuts, compression boosts, Monad final validation, and polishing Flashblocks for full release. Performance up. Friction down. Let’s keep building. 🚀 Full details 👇 forum.thegraph.com/t/streami…
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@streamingfastio is shipping Folks! Introducing Substreams Sink SQL: Delta Updates (Postgres) Delta update support to Substreams Sink SQL, making it much easier to build incremental aggregations directly in your database. github.com/streamingfast/sub… Why this matters: Write aggregations like volume, counts, sums, min/max without reprocessing full tables Apply atomic, incremental updates as new blockchain data arrives Keep aggregation logic simple and SQL-native Designed for Postgres workloads This removes a lot of complexity around maintaining rolling or time-bucketed metrics on chain data. If you want a concrete example, the repo includes a small Uniswap v4 candle demo showing what delta updates look like in practice. A practical reference for anyone building DEX analytics, dashboards, or trading infrastructure using Substreams on The Graph Network.
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💻 Introducing Substreams Sink SQL: Delta Updates (Postgres) We’ve added delta update support to Substreams Sink SQL, making it much easier to build incremental aggregations directly in your database. 👉 github.com/streamingfast/sub… Why this matters: ✅ Write aggregations like volume, counts, sums, min/max without reprocessing full tables ✅Apply atomic, incremental updates as new blockchain data arrives ✅Keep aggregation logic simple and SQL-native ✅Designed for Postgres workloads This removes a lot of complexity around maintaining rolling or time-bucketed metrics on chain data. If you want a concrete example, the repo includes a small Uniswap v4 candle demo showing what delta updates look like in practice. A practical reference for anyone building DEX analytics, dashboards, or trading infrastructure using Substreams on the @graphprotocol. Thanks to community contributor agg8829 in Discord for submitting a PR for this!
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Just shipped my @Polymarket orderbook Substreams using @streamingfastio's new AI Skills 🤖 Their Substreams-Skills feed context to AI coding agents, making development way faster. Real-time order fills, market analytics & trader stats from Polygon. substreams.dev/packages/poly…
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