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We use a combination of HackMD, Docusaurus, and Github for our [Documentation](https://docs.yearn.fi/) and we use [DrawIO](https://draw.io) with Google Drive for our diagrams & schemas. If you are a grammar stickler, you can see our [Reviewer Guide](https://hackmd.io/juTKNn3xTpKJgFDo2AglLw).
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Last but not least, join the #documentation channel in [Discord](https://discord.gg/freT6YRNSX) and introduce yourself.
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Last but not least, join the #documentation channel in [Discord](https://discord.gg/yearn) and introduce yourself.
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If this sounds confusing, please let us know what we can clear up. In the meantime: You can begin contributing to our HackMD docs immediately via the Github issues — we'll guide you through the rest.
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If you're a developer, we need your help! Before you begin: Familiarize yourself with Yearn, its products, and its infrastructure by reading our [Documentation](https://docs.yearn.fi/).
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You can see our progress on our [Github Project Board](https://contribute.yearn.farm/good-first-issue.html), and you can immediately begin contributing where you see fit. We recommend checking out issues tagged as `help wanted` and recommend sticking to the respective repository's coding guidelines (linting, formatting, PRs, etc). It's that simple 🙂. You can also join us on the #dev channel in [Discord](https://discord.gg/w89vVxeV9h).
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You can see our progress on our [Github Project Board](https://contribute.yearn.farm/good-first-issue.html), and you can immediately begin contributing where you see fit. We recommend checking out issues tagged as `help wanted` and recommend sticking to the respective repository's coding guidelines (linting, formatting, PRs, etc). It's that simple 🙂. You can also join us on the #dev channel in [Discord](https://discord.gg/yearn).
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If you are interested in working on a specific project, check out the list of Yearn products in the [General Resources](#general-resources) section below or check out our list of repos [here](https://github.com/orgs/yearn/repositories).
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#### Designers
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We invite designers, animators, artists, and more to share your skills with the Yearn ecosystem! If you're interested in creating graphics that describe Yearn's systems, creating video explainers, fixing Yearn's UI/UX, or any other combination of things — hop into the #ui-ux channel or #media-resources channels in [Discord](https://discord.gg/H8AVhpz63R).
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We invite designers, animators, artists, and more to share your skills with the Yearn ecosystem! If you're interested in creating graphics that describe Yearn's systems, creating video explainers, fixing Yearn's UI/UX, or any other combination of things — hop into the #ui-ux channel or #media-resources channels in [Discord](https://discord.gg/yearn).
[Kong](https://kong.yearn.farm/) is an integrated set of services and tools that make it easy to index EVM logs and state, enrich your data with custom hooks, query your data over graphql. Kong is designed to be cheap, reliable, easy to maintain, and simplify the process of updating your index.
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Kong's Yearn index covers the v3 and v2 vault ecosystems:
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- Regular contract snapshots of each registry, vault, strategy, trade handler, accountant, and debt allocator.
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- Full event history for each of the above (*with limited history on transfers, deposits, withdraws, and approves).
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- Snapshot hooks for computing vault-strategies relationships, debts, fees, and rewards.
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- Snapshot hooks for integrating off-chain risk and meta data.
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- Event hooks for tracking new vaults and strategies, computing spot harvest APRs, and pricing transfers.
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- Timeseries hooks for computing APY and TVL.
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Kong can be run locally or a hosted version run by Yearn can be queried with the public endpoint.
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-**Live API:**https://kong.yearn.farm/api/gql
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-**Source:**https://github.com/yearn/kong
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-**Docs:** Under Construction 🚧
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## Subgraph
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:::info
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Currently only subgraphs for V2 vaults are available and some subgraphs have not been migrated to the new service.
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Currently only subgraphs for V2 vaults are available and some subgraphs have not been migrated to the new service. We recommend using Kong or yDaemon for your data needs.
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