دسترسی به متن هانت

Welcome to the Solana Ecosystem! We hope this hunt will help you find an easy and enjoyable entry point into Solana.

What’s This For?

The best way to understand a crypto project is to get involved in it yourself. We at Flipside are here to help you do exactly that. This set of steps is your portal into the world of Solana (and all the data we’ve gathered to help you shine a light on its furthest expanses). Think of it as a “pre-flight checklist” for a space launch. Once you’ve completed these steps, you’ll be successfully immersed in the Solana ecosystem, familiar with its core token (SOL) and some of its core applications. Got questions? Reach out in the solana-hunts or query-troubleshooting channels in our Discord!

Overview

By the end of this tutorial, you should be able to:

• Set up a Phantom Exchange Wallet and fund it with SOL
• Stake SOL via Marinade and get mSOL
• Stake the mSol on Orca

Good luck!

Preparing for the hunt

You can pack light while chasing this storm, but you do need a couple of things to complete it:

• An existing Metamask wallet
• A small amount of ETH to convert to SOL and to cover transactional costs. We’d recommend a minimum of $50
• A Flipside App account to prove completion; sign up here if you don’t have one

---Steps to Complete--

Set up a Phantom Exchange Wallet

Let’s get started by setting up a wallet and funding it with SOL. We’ll be creating a wallet via Phantom Wallet — think of it as a Metamask for the Solana ecosystem. You can also use Sollet or Solflare wallets as alternatives, but in our experience, Phantom is the easiest to use and is compatible with everything in the Solana ecosystem.

To create your Phantom Wallet:

• Navigate to the Chrome store and search for Phantom Wallet.
• Click “Add to Chrome”
• It will then appear as an extension in your browser. Click “Create New Wallet”
• Follow the prompts on the screen — and be sure to keep a safe watch on your “Secret Recover Phrase”

Get some SOL

For now, that new wallet is empty — but it won’t be for long. Now it’s time to fund your Phantom Wallet with SOL, the native currency for Solana. If you don’t have any SOL yet, no problem — here’s how to get some. The easiest way to get SOL is by visiting an exchange. To do so, you’ll need to visit an exchange. In this example, we’ll be using Coinbase, but many exchanges allow you to purchase MIR.

To purchase SOL using Coinbase:

• Go to Coinbase.com
• Click on the “trade” tab on the left-hand side of your screen
• Search for SOL
• Click buy and complete the transaction

Important Note: there can be a seven-day withdrawal period between depositing your funds and being able to withdraw them!

Send your SOL to your wallet

Once the waiting period has expired, it’s time to send SOL to your wallet.

To send SOL from a centralized exchange to your Phantom Wallet:

• Copy your wallet address by opening the extension and clicking on the name of your wallet
• Click on the “send and receive” tab on the right-hand side of your screen
• Enter the amount you’d like to send and your wallet address
• Click continue to complete the transaction

Stake SOL via Marinade to get mSOL

Now that you’ve got SOL in your wallet, it’s time to put it to use.

There are many places where you have the opportunity to stake your Solana (including from your own wallet), but one of the most optimal solutions is to use Marinade.finance.

To stake using Marinade:

• Access the Marinade app here
• Click ‘Start staking SOL’
• Connect your Phantom Wallet
• Enter the amount of SOL you would like to stake
• Click ‘stake’ and follow the prompts to complete the transaction

When you’d eventually like to unstake from Marinade, you have two options:

• Delayed Unstake: wait until Marinade gets liquidity and receive SOL relative to the price of mSOL.
• Immediate unstake: Here you withdraw SOL against your mSOL from the liquid unstake pool and pay a small fee to liquidity providers.

Start your journey to whale status with Orca

Now that you have mSOL, you are ready to use it to generate more yield!

There are three commonly used platforms on Solana that you can use to enter liquidity pools: Raydium, Saber, and Orca. Raydium was the first AMM on Solana, Saber is a stable coin exchange, and Orca is a user-friendly DEX.

Thanks to its ease and because of current yield opportunities, we will be using Orca.

To use your mSOL on Orca:

• Visit the Orca website and click on “pools”
• Find the mSOL/SOL pool, the top pool on Orca by TVL
• Click “Deposit” and enter the amount of mSOL you want to enter into the pool
• Verify you have read the “Pool Guide” and click deposit
• Make sure you’re receiving your full potential yield by “double-dipping”; Click ‘Double-dip’ and scroll down to the mSOL-SOL pool, then click “Double-dip” and approve in your wallet

Tweet it

That’s it — you’ve officially completed the Solana Scavenger Hunt. Let the world know by tweeting it out and tagging @FlipsideCrypto

---Get Paid!---

1. Tweet your dashboard and tag @flipsidecrypto Example tweet: Here’s my @flipsidecrypto scavenger hunt! #flipsidetophunts

2. Share your tweet in the "Solana-hunts” discord channel

3. Enter your information here: https://flipsidecrypto.xyz/drops

🆘 Getting stuck? Reach out to us in Discord! We’ll be happy to help you with this step.

Congratulations, sun chasers - and welcome once again to the Solana ecosystem! 🎉

欢迎来到Solana！本篇介绍将带你通过Scavenger Hunt进入并了解Solana！

本篇文章介绍了什么？

了解一个加密项目最好的方法就是参与其中！别担心，Flipside将帮你做到这点！

以下将介绍的步骤是您进入Solana的“传送门”（我们收集的所有信息数据，也将帮助您深度了解Solana）。当你完成这些步骤后，您将很好的融入Solana生态系统，熟悉其核心代币（SOL）以及一些关键的应用程序。前250名完成者将获得0.11SOL作为奖励！💰💰💰

💡欢迎加入Flipside Discord中的Solana-Huntsh或中文频道已解决您的任何问题！

本篇教程将帮助你： • 注册一个Phantom Exchange钱包并存如SOL • 将SOL质押至Marinade，获得mSOL奖励

请仔细阅读全文以了解详细教程！

注册Flipside账号，准备开始Hunt吧！

• 要证明Hunt已完成，需要使用Flipside app。如果您没有账号请点击此处注册

详细步骤：

1. 注册一个Phantom Exchange钱包 首先，我们需要注册一个Phantom Exchange（类似于Solana生态中的Metamask）钱包并存入SOL。您也可以使用 Sollet 或 Solflare 钱包作为替代方案。但根据我们的经验，Phantom 是最易于使用的、兼容性最强的Solana钱包。

注册钱包： • 打开Chrome Store并搜索Phantom Wallet • 点击“Add to Chrome” • 然后它将在您的浏览器中显示为扩展。 点击“创建新钱包” • 按照屏幕上的提示进行操作。请安全记下“Secret Recovery Phrase”

2． 获得一些SOL 现在是时候使用 Solana 的原生代币 SOL 为您的 Phantom Wallet 提供资金了。 如果您还没有任何 SOL，以下就是获取SOL的详细步骤了！ 使用Binance获取SOL： • 前往https://c2c.binance.com/cn • 点击注册/登陆 • 注册/登陆完成后点击左上脚买币 • 点击我要买，点击自选区，选择购买SOL • 输入想要购买的金额或数量后点击立即购买 • 最后确认付款金额和付款方式 点击查看官方教程

使用Coinbase获取SOL： • 前往Coinbase.com • 点击屏幕左侧“Trade”按键 • 搜索SOL • 点击购买并完成交易

3. 质押SOL 购买SOL完成后请完成以下步骤： • 前往https://marinade.finance/app/staking • 连接到你的钱包 • 质押SOL，获得mSOL 通过Flipside制作一个Dashboard • 在Flipside App上制作一个展示自己收到mSOL和质押地址的Dashboard

获得奖励

1. 使用推特分享制作的Dashboard并@flipsidecrypto
2. 将你的推特分享在“Solana-hunts”Discord频道中
3. 了解更多信息请前往：https://flipsidecrypto.xyz/drops 遇到问题？请在Discord中文频道中联系我们！我们将尽快回复。

bấm vào đây để xem scavenger Hunt

دسترسی به متن هانت

Please note: this bounty hunt assumes you have completed and submitted the Terra Scavenger Hunt, which involves staking LUNA and delegating it to a validator. It will not be possible to complete this bounty without having staked and delegated LUNA at least once.

Learn how to explore Terra data by finding specific transactions, grouping them, and visualizing them over time. Publish your results and submit them to win your first Terra bounty!

For this bounty, we’ll find all delegations to Flipside that happened on the day you did the Terra Scavenger Hunt, and highlight your delegation among all the others. Don’t worry, we’ll walk you through it each step of the way 👇

--

Bounty Assignment:

Find all transactions delegating LUNA to Flipside on the day you completed the Terra Scavenger Hunt, make a chart that visualizes those transactions, and highlight your delegation transaction in a different color.

Example:

Concepts we’ll explore:

• Filtering transactions to get only the ones we need to answer the bounty question
• Grouping those transactions to get hourly totals
• Making a time-series chart of those hourly totals
• Using logic to separate out transactions from a specific wallet address (yours!)
• Adding color to highlight your transaction
• Submitting your chart to get paid! 💰

Let’s get into it!

Finding the Right Transactions

To get the right set of transactions in our results, we need to filter them so we’re seeing only transactions that involve delegating LUNA to Flipside (or whoever you delegated to!). Thankfully, Flipside’s data curation makes this easy by providing labeled data in a convenient table called terra.staking! We can start by getting a few sample transactions to see what data is available to us:

select *
from terra.staking
limit 10

Take a look at the results — please note: you can always look up column definitions in Flipside’s documentation for some context — in this case, the following columns answer some important questions for us:

• BLOCK_TIMESTAMP — when the transaction occurred
• DELEGATOR_ADDRESS — who the transaction is from
• VALIDATOR_ADDRESS — who the transaction is to (who is being staked the LUNA)
• VALIDATOR_ADDRESS_LABEL — Flipside’s curated label describing the validator
• EVENT_AMOUNT_USD — how much the delegation was for in USD terms (not necessarily needed to answer the question, but kind of interesting…)

We can use these columns to start to filter down the terra.staking table to just the results we need. Remember the query you wrote as part of the Terra Scavenger Hunt? It probably looked something like this:

select *
from terra.staking
where delegator_address = '[your terra address]'

If you run that again you’ll be able to pick out some pretty important information — your terra address, the Flipside validator’s address (or whatever validator you delegated to), and the date your transaction was submitted — which is all we need data-wise to answer the bounty question.

Grab the Flipside address from the VALIDATOR_ADDRESS column, it should look something like this: terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6

Now  let’s update our new query, and use that address to get all transactions staking LUNA to Flipside, ever. We can do this by removing the ten-result limit, and replacing it with a WHERE clause that limits the results to transactions pointing at the Flipside validator address:

select *
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'

This returns (as of this writing) around 2000 results — to answer our bounty question, we now have to limit these results by when the transactions occurred: specifically, we only want transactions that happened on the same day as yours. We also don’t need all those columns in our result-set, so let’s make our query a little more specific:

select
    block_timestamp,
    delegator_address,
    validator_address,
    validator_address_label,
    event_amount_usd
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'

There, those results are a bit more manageable to look at, aren’t they?

Working With Time

To help us deal with time, we will introduce an incredibly helpful SQL function now, called DATE_TRUNC. It takes raw timestamp data (like that in BLOCK_TIMESTAMP) and reduces it to specific dates in a really helpful way. Let’s get started by wrapping BLOCK_TIMESTAMP in DATE_TRUNC and specifying that we only need the day on which the transaction happened:

select
    date_trunc('day',block_timestamp) as block_day,
    delegator_address,
    validator_address,
    validator_address_label,
    event_amount_usd
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'

Now, go back to your original query from the scavenger hunt: on what day did your transaction occur? For demonstration purposes, we’ll use January 13, 2022 here. Knowing this date, we can filter our results down even further, like so:

select
    date_trunc('day',block_timestamp) as block_day,
    delegator_address
    validator_address,
    validator_address_label,
    event_amount_usd
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'
    and block_day = '2022-01-13'

(Note that we’re using the yyyy-mm-dd date format for that filter, to match the output of the DATE_TRUNC function. Be sure to use the correct formatting here!)

That reduces our results set from around 2000 down to about 143 — your results will vary depending on which day your transaction occurred — and now we’re very close to having all the raw data we want. The only thing that’s really missing is: how do we highlight your transaction?

Highlighting Your Transaction

To answer that, we need to introduce another new SQL concept: the CASE statement. These are a very powerful tool, but thankfully our use case is very simple. For every transaction in our result set, we want to know: is it mine, or someone else’s?

To do this, grab your Terra address (reminder: it’s in your original query from the scavenger hunt) and add the CASE statement like so:

select
    date_trunc('day',block_timestamp) as block_day,
    delegator_address,
    validator_address,
    validator_address_label,
    event_amount_usd,
    case
        when delegator_address = '[your address]' then 'me'
        else 'everyone else' end as delegator
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'
    and block_day = '2022-01-13'

(Note: remember to substitute your actual terra address for [your address] in the example above.)

Take a look at the results, and you should see a new column all the way at the end called “delegator” — for every validator_address, our new CASE statement just checks if there’s a match with your address, and returns “me” to this column if yes, and “everyone else” if no.

Now, if we were to visualize these results, we might not have the most interesting options available at this point. (If you don’t believe me, try making a donut chart of this data with delegator as the Slice and event_amount_usd as the Angle.)

Adding an Hourly Dimension

To give a little more context to our answer, add another dimension of time to the data by adding another DATE_TRUNC function, and having it return hourly results, like so:

select
    date_trunc('day',block_timestamp) as block_day,
    date_trunc('hour',block_timestamp) as block_hour,
    delegator_address,
    validator_address,
    validator_address_label,
    event_amount_usd,
    case
        when delegator_address = '[your address]' then 'me'
        else 'everyone else' end as delegator
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'
    and block_day = '2022-01-13'

You’ll notice the new BLOCK_HOUR column still returns the date, but now with the hour in which the transactions happened as well. To visualize this, we need to add one more step, maybe the most important thing you will learn in this process: grouping and aggregating.

Grouping and Aggregating Transactions

Stepping back for a moment, what we have here in our results set is a set of transactions, and some metadata about those transactions (who was involved, when did they happen, etc.). To make a meaningful visualization from this, we have to start grouping these transactions together, and answering questions about them as groups (e.g., for each hour in the day, how many transactions happened?)

Here’s an example of how to make this happen. Take our work in progress query, and add a GROUP BY statement to the end that includes each column we want to get unique results for (hours, days, and delegators), and wrap other columns with COUNT or SUM functions that aggregate those quantitative results. Any column not involved in either grouping or aggregating must be removed for this to work, so we’re going to cut down the number of columns in our select statement like so:

select
    date_trunc('day',block_timestamp) as block_day,
    date_trunc('hour',block_timestamp) as block_hour,
    case
        when delegator_address = '[your address]' then 'me'
        else 'everyone else' end as delegator,
    sum(event_amount_usd) as amount_delegated_usd,
    count(*) as transaction_count
from terra.staking
where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'
    and block_day = '2022-01-13'
group by block_day, block_hour, delegator

To summarize, here are the changes we just made:

• We removed all those extraneous address and label columns
• We wrapped event_amount_usd in a SUM function (aggregation)
• We added a new count(*) line to the select statement (aggregation)
• We added a group by statement to the end of our query, that incorporates each column that was not wrapped in an aggregating function like SUM or COUNT. (grouping)

This takes our results set from 143 down to 19 — one for each hour in the day where at least one delegation transaction happened. Now we are ready to visualize.

Making a Time Series Chart

Click the “+ New Chart” button in the results tab - this will create a new, empty chart for us to use to explore our results.

From the “Chart Type” dropdown, select the “Bar” option, then select “BLOCK_HOUR” for the X Axis, “TRANSACTION COUNT,” for Y axis, and DELEGATOR for the Color Column.

And voila!

Wrapping Up & Submitting Your Results

1. Give your chart a name by clicking Untitled Visual in the upper left corner of the screen and typing something in… “My LUNA Delegation in Context” perhaps?

2. Click “Save Visual” in the upper right corner of the screen to save your chart.

3. Click “Add to Dashboard” then “Create new dashboard” then “Publish” to get your results out into the world — you now have a live link you can send to anyone to show them what you’ve made.

4. Submit your bounty to get your reward!

Example board:

了解如何探索并使用Terra数据查找某笔交易，将他们分类并将结果可视化。发表你的结果并提交就可以获得Terra赏金奖励啦！

__请注意：完成本次任务的前提是需要有至少一次完成并提交Terra Scavenger Hunt（质押LUNA并委托给认证者）。如果没有至少质押和委托 LUNA 一次，将不能完成这次赏金任务。

💡前200位完成者可获得5UST作为奖励__

阅读下文以了解详细完成方法：

__赏金任务：__找到您在Terra Scavenger Hunt那天所有将LUNA委托给Flipside的交易记录，制作一个可视化的交易图表并以不同颜色突出显示您的交易。

探索步骤： • 通过过滤（Filter）以仅获取我们需要回答赏金问题的交易 • 将这些交易分类以得到每小时总数 • 为每小时总数制作时间序列图（Time-Series Chart） • 使用逻辑将交易与特定钱包地址（你的钱包）区分 • 添加颜色突出您的交易 • 提交图表并获得奖励

找到正确的交易 要在我们的结果中获得正确的交易，我们需要过滤它们，以便我们只看到涉及将 LUNA 委托给 Flipside 的交易。

Flipside 的数据管理通过在 terra.staking 的便捷表格中提供标记数据，使这一切变得容易！我们可以从获取一些交易示例开始，看看我们可以使用哪些数据：

select * from terra.staking limit 10

查看结果-如果对于查找结果的一些名词有问题，请查看Flipside官方文件以了解官方定义。

• BLOCK_TIMESTAMP-交易时间 • DELEGATOR_ADDRESS-交易发起者 • VALIDATOR_ADDRESS-交易接收者 • VALIDATOR_ADDRESS_LABEL-Flipside标记数据以描述验证者 • EVENT_AMOUNT_USD-以美元为单位的委托金额

我们可以使用这些列开始过滤 terra.staking 表，只得到我们需要的结果。 还记得你在 Terra Scavenger Hunt 中使用的查询吗？ 像这样：

select * from terra.staking where delegator_address = [your terra address]

如果你再次运行它，你将能够挑选出一些非常重要的信息——你的 terra 地址、Flipside 验证器的地址以及你的交易提交日期——这就是我们回答赏金问题所需要的所有数据。

从 VALIDATOR_ADDRESS 列中获取 Flipside 地址，它应该如下所示：terravalop843mduskd0pk5zzkfgtndzgckzy6er1reltv0n503

现在让我们更新我们的新查询，并使用该地址获取所有将 LUNA 质押到 Flipside 的交易。 我们可以通过删除十个结果的限制来做到这一点，并将其替换为 WHERE 子句，该子句将结果限制为指向 Flipside 验证器地址的交易：

select * from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'

这将显示（在撰写本文时）大约 2000 个结果——为了回答我们的赏金问题，我们现在必须通过限制交易发生的时间来过滤我们需要的结果：具体来说，我们只想要与您在同一天发生的交易。 我们也不需要让其显示所有结果，所以让我们的查询更具体一点：

select block_timestamp, delegator_address, validator_address, validator_address_label, event_amount_usd from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'

现在看起来更整齐了！

如何处理时间？ 为了帮助我们处理时间，我们现在将介绍一个非常有用的 SQL 函数，称为 DATE_TRUNC。 它采用原始时间戳数据（如 BLOCK_TIMESTAMP 中的数据）并以它的方式将其减少到特定日期。 让我们开始将 BLOCK_TIMESTAMP 包括在 DATE_TRUNC 中并指定到交易发生的那一天：

select date_trunc('day',block_timestamp) as block_day, delegator_address, validator_address, validator_address_label, event_amount_usd from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6'

现在，回到Scavenger Hunt中的原始查询：您的交易发生在哪一天？ 出于演示目的，我们将在此处使用 2021 年 1 月 13 日。 知道了这个日期，我们可以进一步过滤我们的结果，如下所示：

select date_trunc('day',block_timestamp) as block_day, delegator_address, validator_address, validator_address_label, event_amount_usd from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6' and block_day = '2022-01-13' （请注意：对于过滤器请使用yyyy-mm-dd的时间格式，以匹配 DATE_TRUNC 函数。 请务必在此处使用正确的格式！） 这将我们的结果从 2000 个左右减少到大约 143 个——您的结果将根据交易发生的日期而有所不同——现在我们非常接近获得我们想要的所有原始数据。 唯一缺少的是：如何突出您的交易？

突出你的交易 为了回答这个问题，我们需要引入另一个新的 SQL 概念：CASE 语句。 这些是一个非常强大的工具，但是我们的用使用方法非常简单。 对于结果中的每一笔交易，我们都想知道：是我的还是别人的？

为此，请获取您的 Terra 地址（提醒：它在寻宝游戏的原始查询中）并添加 CASE 语句，如下所示：

select date_trunc('day',block_timestamp) as block_day, delegator_address, validator_address, validator_address_label, event_amount_usd, case when delegator_address = '[your address]' then 'me' else 'everyone else' end as delegator from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6' and block_day = '2022-01-13' （请使用自己的Terra钱包地址）

查看结果，你应该会在最后看到一个名为“delegator”的新列——对于每个validator_address，我们的新 CASE 语句只检查是否与您的地址匹配,是“我”将会弹出Yes，如果是其他人则是No。 现在，如果我们要对这些结果进行可视化，此时我们可能还没有得到最好的结果。 （不信的话，你也可以试着用 delegator 作为 Slice 和 event_amount_usd 作为 Angle 来制作这个数据的圆环图。）

添加时间维度 为了给我们的答案提供更多信息，我们将通过添加另一个 DATE_TRUNC 函数并让它提供每小时结果，为数据添加另一个时间维度，如下所示：

select date_trunc('day',block_timestamp) as block_day, date_trunc('hour',block_timestamp) as block_hour, delegator_address, validator_address, validator_address_label, event_amount_usd, case when delegator_address = '[your address]' then 'me' else 'everyone else' end as delegator from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6' and block_day = '2022-01-13'

你会发现新的BLOCK_HOUR列依然显示日期，但是现在加入了交易发生的时间。要将其可视化，我们还需要最关键的一步，分类和整合（grouping and aggregating）

分类与整合 我们现在结果中拥有的是一组交易，还有一些源数据（涉及谁，何时发生等）。为了让其进行有意义的可视化，我们必须将这些交易分类、分组，并以组的形式回答有关它们的问题。（例如一天中的每个小时分别有多少交易发生）

以下是一个例子。在正在进行的查询中的末尾添加一个GROUP BY语句，其中包括我们想要获得结果的每一列（小时、天、委托人），并使用COUNT和SUM函数整合这些数据结果。注意：必须删除任何未参与分组或聚合的列才能使其正常工作，因此我们将减少 select 语句中的列数，如下所示：

select date_trunc('day',block_timestamp) as block_day, date_trunc('hour',block_timestamp) as block_hour, case when delegator_address = '[your address]' then 'me' else 'everyone else' end as delegator, sum(event_amount_usd) as amount_delegated_usd, count(*) as transaction_count from terra.staking where validator_address = 'terravaloper1r843mpk5zzkfgtnduskd0dzgeltv0n503ckzy6' and block_day = '2022-01-13' group by block_day, block_hour, delegator

__值得注意的几点：

1. 给你的表格取名：点击左上角的Untitled Visual。例如：My LUNA Delegation in context
2. 点击右上角的Save Visual以保存表格
3. 点击Add to Dashboard-Create New Dashboard-Publish以得到结果。现在你可以将你做好的Dashboard链接分享给任何人啦！
4. 提交表格到https://flipsidecrypto.xyz/drops以获取奖励！__

Dashboard例子：

دسترسی به متن هانت

Welcome to the Algorand Ecosystem! We hope this Algo Hunt will help you find an easy and enjoyable entry point into Algorand.

What’s This For?

The best way to understand a crypto project is to get involved in it yourself. We at Flipside are here to help you do exactly that.

This set of steps is your portal into the world of Algorand (and all the data we’ve gathered to help you shine a light on its furthest expanses).

Think of it as a “pre-flight checklist” for a space launch. Once you’ve completed these steps, you’ll be successfully immersed in the Algorand ecosystem, familiar with its core token (ALGO) and some of its core applications.

Got questions? Reach out in the algorand-hunts or query-troubleshooting channels in our Discord.

Overview

By the end of this tutorial, you should be able to:

• Create an Algorand wallet and fund it with ALGO tokens
• Swap ALGO using Tinyman
• Stake tokens using Yieldly.Finance

Good luck!

Preparing for the hunt

You can pack light while chasing this storm, but you do need a couple of things to complete it:

• an existing Metamask wallet
• a small amount of ETH to convert to ALGO and to cover transactional costs. We’d recommend a minimum of $50
• a Flipside account to prove completion; sign up here if you don’t have one.

---Algorand Algo Hunt---

Get yourself an official Algorand wallet

The first step in getting involved in the Algorand ecosystem is, perhaps unsurprisingly, creating an official Algorand wallet. This wallet will allow you to store your ALGO and interact with the applications in the ecosystem.

To get an official Algorand wallet:

• Visit the Algorand Wallet website and download the app
• Choose Create New Account
• Follow the prompts on the app to create your wallet
• Once you’ve finished, you should see a screen similar to the one below

Get some ALGO

Next up is transferring your ALGO to your newly created wallet. If you don’t have any ALGO yet, no problem — here’s how to get some.

The easiest way to get ALGO is by visiting an exchange. To do so, you’ll need to visit an exchange. In this example, we’ll be using Coinbase, but many exchanges allow you to purchase ALGO.

To purchase ALGOs using Coinbase:

• Go to Coinbase.com
• Click on the “trade” tab on the left-hand side of your screen
• Search for ALGO
• Click buy and complete the transaction

Send tokens to your Algorand wallet

Once the waiting period has expired, it’s time to send ALGO to your wallet.

To send ALGO from a centralized exchange to your wallet:

• Copy your wallet address by opening the app and clicking on the icon directly to the right of your wallet
• Click on the “send and receive” tab on the right-hand side of your screen
• Enter the amount you’d like to send and your wallet address
• Click continue to complete the transaction

Swap, swap, swap (everybody)!

Now that you’ve got some ALGO in your wallet, it’s time to start diving deeper into the Algorand ecosystem! We’ll start by swapping some of that newly acquired ALGO for YLDLY using Tinyman, a decentralized trading protocol.

To swap ALGO for YLDLY using Tinyman:

• Visit the Tinyman website and open the app
• Review the documentation and disclaimer presented by Tinyman
• Connect your new ALGO wallet by clicking on “Connect to a Wallet” in the top right corner
• Enter the amount of ALGO you’d like to swap
• Select YLDLY from the menu in the TO field
• Follow the prompts to complete the transaction

Time for staking

Last but not least, it’s time to put that new YLDLY to work by staking it via yieldly.finance.

To stake YLDLY:

• Visit the Yieldly website and access the app
• Select the YLDLY staking option (it should be located at the top of the list when opening the app)
• Connect your wallet using the blue button displayed on the screen
• Click stake and follow the prompts displayed to complete the transaction

That’s it! You’ve officially completed the Algorand Scavenger Hunt and are familiar with the Algorand ecosystem.

---Get Paid!---

You did it! Now get paid for it.

The Flipside App will let you query blockchain data to view all the transactions you just completed. Open it up and click the New button to start a new Dashboard. This Dashboard will let you show off the transactions you’ve already done.

To show completion and receive your reward, make a dashboard that shows off your transactions.

Getting stuck? Reach out to us in Discord! We’ll be happy to help you with this step.

Once you’re done, head over to the Flipside Discord and post in the Algorand-hunts channel that you’ve completed the latest stage of the Algorand Scavenger hunt mission, along with visual proof (an attached screenshot of your dashboard, or better yet, a link to it.)

Congratulations, hunters - and welcome once again to the Algorand ecosystem!

PlanetWatch is an environmental monitoring company that pays users in Planets to carry air quality sensors(Tokens: https://support.planetwatch.io/hc/en-gb/articles/4407510456721-Daily-rewards-for-the-Type-4-sensor).

How many wallets have been rewarded for participating in the PlanetWatch Air monitoring program?

• Show us how the number of wallets being rewarded daily changes over time.
• Show us how the number of daily rewards has changed over time
• What day were the most rewards issued? Was there an event correlated with this?
• Who are the top 10 earners of Planets?

Rewards Wallet Address: ZW3ISEHZUHPO7OZGMKLKIIMKVICOUDRCERI454I3DB2BH52HGLSO67W754

Asset ID: 27165954