How does oracle make Web3 a better place?
Oracle:trust builderOracle is usually reckoned as the bridge and window of on-chain and off-chain data. In short, oracle is a middleware providing real-world data services for blockchain projects.Source: IOSG If we recognize the definition that blockchain is the trust machine, then oracle can be essentially referred to as the** trust-maintenance machine.** As a matter of fact, the trust generated by blockchain itself is usually not sufficient to support all the demands of upper layer applicat...
MEV Research
概念MEV即通过在区块中添加和排除交易并更改区块中的交易顺序,从区块生产中提取的超过标准区块奖励和燃料费用的最大值在以太坊中一个交易发起后,这笔交易会被放在 mempool(一个保存待执行交易的池子)中等待被矿工打包矿工就可以看到 mempool 中的所有交易,而矿工的权利是很大的,矿工掌握了交易的包含、排除和顺序如果有人通过支付更多的 Gas 费贿赂矿工调整了交易池中的交易顺序而获利,这就属于一种最大可提取价值 MEV目前有两种MEV形式最为常见:一种为Arbitrage套利,另一种为三明治攻击 (liquidation排在第三)以三明治攻击为例,其可以通过在链上监控大额的 DEX 交易抢跑大额订单随后卖出比如有巨鲸想在 Uniswap 上购买价值 100 万美金的山寨币,而这一笔交易会将这个山寨币的价格拉高很多这笔交易被放入 mempool 的时候,监控机器人发现有机会,就贿赂打包这个区块的矿工将一笔买入操作插队在这个人前面,然后在巨鲸购买操作后插入卖出操作,获取交易拉盘利润尽管JIT(Just-in-time Compilations)和清算也算MEV策略,但其volume...
VC
How does oracle make Web3 a better place?
Oracle:trust builderOracle is usually reckoned as the bridge and window of on-chain and off-chain data. In short, oracle is a middleware providing real-world data services for blockchain projects.Source: IOSG If we recognize the definition that blockchain is the trust machine, then oracle can be essentially referred to as the** trust-maintenance machine.** As a matter of fact, the trust generated by blockchain itself is usually not sufficient to support all the demands of upper layer applicat...
MEV Research
概念MEV即通过在区块中添加和排除交易并更改区块中的交易顺序,从区块生产中提取的超过标准区块奖励和燃料费用的最大值在以太坊中一个交易发起后,这笔交易会被放在 mempool(一个保存待执行交易的池子)中等待被矿工打包矿工就可以看到 mempool 中的所有交易,而矿工的权利是很大的,矿工掌握了交易的包含、排除和顺序如果有人通过支付更多的 Gas 费贿赂矿工调整了交易池中的交易顺序而获利,这就属于一种最大可提取价值 MEV目前有两种MEV形式最为常见:一种为Arbitrage套利,另一种为三明治攻击 (liquidation排在第三)以三明治攻击为例,其可以通过在链上监控大额的 DEX 交易抢跑大额订单随后卖出比如有巨鲸想在 Uniswap 上购买价值 100 万美金的山寨币,而这一笔交易会将这个山寨币的价格拉高很多这笔交易被放入 mempool 的时候,监控机器人发现有机会,就贿赂打包这个区块的矿工将一笔买入操作插队在这个人前面,然后在巨鲸购买操作后插入卖出操作,获取交易拉盘利润尽管JIT(Just-in-time Compilations)和清算也算MEV策略,但其volume...
VC

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Don Valentine founded Sequoia in 1972, before the terms “Silicon Valley” and “venture capital” had been coined. His original investments includes Apple, Atari, Oracle, Cisco, etc. Prior to founding Sequoia Capital, Don served as a sales and marketing executive at Fairchild Semiconductor for seven years before he went on to establish National Semiconductor. Don obtained his Bachelor of Science in Chemistry from Fordham University in 1954.

We focus on the size of the market, the dynamics of the market, the nature of competition because our object is always to build big companies.
We don’t choose people, we choose markets. We don't care about the background of the founders and we rarely ever invest in an area with only one product.
Take Apple for example, we finance more than one memory company or disk drive company. Without the memory system, the PC is nothing. Apple found sth. they are needed in Xerox PARC and we finance all these things. This is how we choose to invest on a system application level. We looked at the system and made over 15 investments in the category.
We also invested in many inexperienced young people and taught them outsourcing.
The only thing that matters is they must be very good at tech and engineering and that normally took us about six people to start the company. The secondary functional skill we are interested in is marketing.
We think creating a market is too expensive for our checkbook and are more interested in exploring markets early.
Good people are technologists with no interest in becoming wealthy and keen on solving tech problems and creating new products.
Unlike most VC people, we don’t wait for you to knock on our door, we knock on your door. We are actively looking for the right people with the capability to solve the problem we are interested in.
We have a team with different expertise in developing a knowledge base and market sizing info. We tend to invest application system approach.
The art of storytelling is incredibly important because money flows as a function of the stories.
Learning how to ask a question is way more important than anything in the world (20 words maximum). For many investments we made, we didn't understand the answers, but we constantly worked on developing the questions.
When a company we invested in failed, we always have post mortems to figure out what we missed, what questions we didn’t ask.
We are less interested in their education than in what they did in their prior companies. We make the management system as easy as possible and if we can outsource something, never make it in-house.
Only one metric in finance matters to us and that is cash flow. We hire people who are wizards at cash flow.
We don’t need balance sheets and we love recessions.
What didn't work is the dynamics of markets. We developed some spectacular things for which there were no buyers. The critical thing is getting a product developed where the timing of the product’s availability and the market demand are simultaneous.
We didn’t finance our portfolio companies any more if no one wanted their products.
But when those companies meet the milestones, we then refinance them.
Don Valentine founded Sequoia in 1972, before the terms “Silicon Valley” and “venture capital” had been coined. His original investments includes Apple, Atari, Oracle, Cisco, etc. Prior to founding Sequoia Capital, Don served as a sales and marketing executive at Fairchild Semiconductor for seven years before he went on to establish National Semiconductor. Don obtained his Bachelor of Science in Chemistry from Fordham University in 1954.

We focus on the size of the market, the dynamics of the market, the nature of competition because our object is always to build big companies.
We don’t choose people, we choose markets. We don't care about the background of the founders and we rarely ever invest in an area with only one product.
Take Apple for example, we finance more than one memory company or disk drive company. Without the memory system, the PC is nothing. Apple found sth. they are needed in Xerox PARC and we finance all these things. This is how we choose to invest on a system application level. We looked at the system and made over 15 investments in the category.
We also invested in many inexperienced young people and taught them outsourcing.
The only thing that matters is they must be very good at tech and engineering and that normally took us about six people to start the company. The secondary functional skill we are interested in is marketing.
We think creating a market is too expensive for our checkbook and are more interested in exploring markets early.
Good people are technologists with no interest in becoming wealthy and keen on solving tech problems and creating new products.
Unlike most VC people, we don’t wait for you to knock on our door, we knock on your door. We are actively looking for the right people with the capability to solve the problem we are interested in.
We have a team with different expertise in developing a knowledge base and market sizing info. We tend to invest application system approach.
The art of storytelling is incredibly important because money flows as a function of the stories.
Learning how to ask a question is way more important than anything in the world (20 words maximum). For many investments we made, we didn't understand the answers, but we constantly worked on developing the questions.
When a company we invested in failed, we always have post mortems to figure out what we missed, what questions we didn’t ask.
We are less interested in their education than in what they did in their prior companies. We make the management system as easy as possible and if we can outsource something, never make it in-house.
Only one metric in finance matters to us and that is cash flow. We hire people who are wizards at cash flow.
We don’t need balance sheets and we love recessions.
What didn't work is the dynamics of markets. We developed some spectacular things for which there were no buyers. The critical thing is getting a product developed where the timing of the product’s availability and the market demand are simultaneous.
We didn’t finance our portfolio companies any more if no one wanted their products.
But when those companies meet the milestones, we then refinance them.
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