The Graph ✓
@graphprotocol · joined 04 Apr 2018
The Graph provides blockchain data solutions for on-chain apps, AI agents & institutions. Follow for ecosystem updates, builder guides & what ships.
337 875Followers
1 904Following
9 694Posts total
109.8KViews on collected posts
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$15K in bounties for building with live blockchain data at ETHOnline.
An AI agent is only as good as the data behind it. Feed yours live on-chain data with Subgraphs or Substreams. Make life easier by using The Graph's MCP and SKILLs. Ship it faster with The Graph.
Hackathon
10.5K views · 123 likes
· 17 reposts · 7 replies
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Substreams turns raw chain data into structured output.
Now, Hosted Stores lets a module look things up mid-stream without recomputing them every time. A managed, block-aware key/value store, reachable over gRPC or as a store input.
@streamingfastio just keeps improving
9.3K views · 108 likes
· 15 reposts · 4 replies
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Hosted Stores are live on The Graph Market.
Substreams turns raw chain data into structured output. But when a module needs to look something up mid-stream (an off-chain price, token metadata, an address→owner map), you were stuck recomputing it in every pipeline or running http
6.6K views · 5 likes
· 3 reposts · 1 replies
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🌐 ETHOnline Prizes: @graphprotocol ∙ $15,000
Build with live blockchain data:
→ Composable or Standardized Graph Products: $5K
→ AI Tooling or Use Case, From Scratch: $5K
→ AI Tooling or Use Case (Continuity): $5K
Sep 4-16 • https://t.co/BsFg4EIRw2 https://t.co/OBpgPsL13a
13K views · 75 likes
· 7 reposts · 2 replies
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Building analytics on Polymarket?
Most of the indexing is already done. Polymarket runs on Polygon, where Subgraphs, Substreams and Token API all serve its data.
Point your product at an existing endpoint and build the part that is actually yours.
12.6K views · 139 likes
· 22 reposts · 9 replies
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@graphprotocol 6 years of great news, get the f-ing token to $1. ZERO MARKETING <
95 views · 3 likes
· 0 reposts · 0 replies
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@graphprotocol @grok why is the price of grt still so low with all these active bullish fundamentals? Don’t leave me on read respond the community wants to know when moon!
287 views · 2 likes
· 0 reposts · 2 replies
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Prediction markets are booming. $150B+ in cumulative volume. Every market, dashboard, and trading agent built on that runs on indexed onchain data. For Polymarket, it's already indexed on The Graph.
Query it with Subgraphs. Stream it with Substreams. Or call the Token API.
Read
16.5K views · 158 likes
· 28 reposts · 17 replies
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@graphprotocol Will this miserable piece of shit ever see a measly $0.10 again? It's practically unimaginable.
61 views · 2 likes
· 0 reposts · 0 replies
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@graphprotocol Once the assistant scaffolds the module, the scarce skill stops being pipeline plumbing and becomes knowing which onchain data actually answers the question. That is a data modelling hire rather than an indexer hire, and most teams have not rewritten the job spec y
27 views · 0 likes
· 0 reposts · 0 replies
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@graphprotocol This is the kind of abstraction that makes blockchain data actually usable.
Less plumbing, more building.
43 views · 0 likes
· 0 reposts · 0 replies
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Weekend build: your AI coding assistant now ships with ten Substreams skills. Describe the on-chain data you want and it scaffolds the module, wires the sink, and runs it. Developers get live blockchain data in about the time it takes to write the spec.
13.7K views · 126 likes
· 16 reposts · 6 replies
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Earlier this year, The Graph Foundation published the Technical Roadmap, Part 1 of a two-part series on the future of The Graph.
Here’s Part 2: the official announcement of the Foundation’s new mandate, and how the Foundation will bring that roadmap to life.
12K views · 145 likes
· 28 reposts · 10 replies
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@graphprotocol @ETHGlobal I don't think I'll ever stop shorting this scam coin-the price and ranking are still way too high.
65 views · 2 likes
· 0 reposts · 0 replies
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Three teams, one shared question: what does an agent need from blockchain data before it is safe to act?
Freshness gates. Pinned deployments. Baselines instead of signatures.
Every project: https://t.co/5b5Pf1S5U4
The Graph's AI Suite: https://t.co/BOwzkqnTBz
985 views · 5 likes
· 0 reposts · 0 replies
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🥈 ArcBook, $1,500
An on-chain order book where makers publish executable curves, not fixed-price orders. One position expresses a whole execution policy with a native Subgraph as the discovery layer and a public Executable Liquidity MCP on top.
https://t.co/TTZ1pGqOIh
238 views · 3 likes
· 0 reposts · 1 replies
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🥉 deeptrace, $1,000
Four read-only MCP tools on Messari's Standardized Subgraphs. One query template across Aave v3, Seamless and Moonwell. Responses are rejected unless the pinned deployment ID matches.
https://t.co/72Ey4tX5Hu
1.1K views · 5 likes
· 0 reposts · 1 replies
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Project contributed a Substreams module that streams every block into ClickHouse. An AI agent scores it against adaptive baselines, and a deviation triggers a response on-chain or off: pause, blacklist, alert. Should support use cases in institutional workflows.
525 views · 22 likes
· 1 reposts · 1 replies
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🥇 Pista, $2,500
Smart contracts cannot see a wallet’s history across protocols, or a slow drain only visible once you zoom out. Pista gives them a brain outside the EVM.
https://t.co/lVMg7bUTYC
624 views · 20 likes
· 1 reposts · 1 replies
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Best AI Tooling for The Graph at @ETHGlobal Lisbon.
$5,000 for reusable infrastructure that makes The Graph easier to build with from AI environments. Not apps. Tools the next builder gets to keep.
Three winners ⬇️ https://t.co/lvO5tJJS2x
11.5K views · 116 likes
· 17 reposts · 3 replies
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Face aux comptes de taille comparable
14 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé bien au-delà de son propre public, et ce public réagit.
Vues médianes7 938ce compte5 983médiane pour 100K–1M
Portée, %2.35%ce compte1.49%médiane pour 100K–1M
Engagement, %1.37%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 7 938 | 5 983 | 1.33× |
| Portée (vues ÷ abonnés) | 2.35% | 1.49% | 1.58× |
| Taux d'engagement | 1.37% | 0.93% | 1.47× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
12K19 Aug
13.7K29 Aug
43
2731 Aug
61
16.5K1 Sep
126
287
95
12.6K2 Sep
13K
6.6K
9.3K3 Sep
10.5K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.56%19 Aug
1.09%29 Aug
0.00%
0.00%31 Aug
3.28%
1.25%1 Sep
3.97%
1.39%
3.16%
1.36%2 Sep
0.66%
0.15%
1.38%3 Sep
1.40%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes78.5%1 064 in total
Reposts11.4%155 in total
Replies4.8%65 in total
Quotes1.1%15 in total
Bookmarks4.2%57 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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