StreamingFast ⏫

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StreamingFast ⏫

StreamingFast ⏫

@streamingfastio

Accelerating The @Graphprotocol. Firehose and Substreams core devs.

Canada Katılım Ocak 2021
594 Takip Edilen13.8K Takipçiler
StreamingFast ⏫
StreamingFast ⏫@streamingfastio·
Congrats to the @PropellerSwap team! Quality work being done by a quality team 💪
PropellerHeads@PropellerSwap

.@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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Noah 🎈
Noah 🎈@redacted_noah·
Hey @jacobvcreech foundation should run an indexer that watches the metadata program an indexes the history of each IDL, including all versions. It should then expose a service that (1) gives me the current IDL for a program given a major version (so two majors can be active at the same time) and (2) gives me a history of every IDL change for a program between two timestamps, so I can make changes as I index. With Streamingfast + Claude you could probably vibecode this in a day.
karsten@karstenalytics

@redacted_noah the IDL situation is indeed unsatisfying… I started to build an IDL history for the projects I cover myself to solve this. Can still work nicely if you run it automated and potentially even let Claude create issues/ PRs if an IDL change would break something (on my side)

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StreamingFast ⏫ retweetledi
The Graph
The Graph@graphprotocol·
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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BK
BK@brandonlkramer·
Kudos to the @streamingfastio team for continuing to make Substreams faster and faster. The team is doing great work to support the @graphprotocol
StreamingFast ⏫@streamingfastio

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/…

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StreamingFast ⏫
StreamingFast ⏫@streamingfastio·
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/…
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Lefteris Karapetsas
Lefteris Karapetsas@LefterisJP·
I hate @base with a passion. It's the chain that does not care about its ecosystem, its community and the tools used to interact and process it. That means that tools like rotki end up getting bad data, or data ends up being unavailable. Fix your shit.
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The Graph
The Graph@graphprotocol·
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
The Graph@graphprotocol

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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Nick Hansen
Nick Hansen@TwentyTwoNode·
BK (@brandonlkramer) rep’n The Graph at @solana mini-summit today… Solanaland loves Substreams 👀
Nick Hansen tweet media
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StreamingFast ⏫
StreamingFast ⏫@streamingfastio·
The Graph Network 💪
StreamingFast ⏫ tweet media
Messari@MessariCrypto

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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StreamingFast ⏫
StreamingFast ⏫@streamingfastio·
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.io 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/reference-mate…
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Graphtronauts
Graphtronauts@graphtronauts_c·
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/streamingfas…
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Graphtronauts
Graphtronauts@graphtronauts_c·
5/ Want even more speed? Let your agent build Substreams. @streamingfastio Substreams Skills = structured, plug-in tools for your coding agent → faster builds, way fewer bugs. Grab it here: github.com/streamingfast/… Efficiency on steroids.
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Graphtronauts
Graphtronauts@graphtronauts_c·
@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/… 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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StreamingFast ⏫
StreamingFast ⏫@streamingfastio·
💻 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/… 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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Keşfet

@PropellerSwap @redacted_noah @jacobvcreech @graphprotocol @RyanJamesShaw @LefterisJP @ngotchac @base