To the humble and ambitious

share my take on the crypto consumer space, and imo where the next good opportunity lies

🧵 note: this thread focuses mostly on app-level things; for whole stack prob look like this and deserves another post

Enough has been said about @TeamUnibot: price action, roadmap, dashboard, tokenomics ... but one important thing missed:

How they went from nothing to today in such a short time?
imo it's a really inspiring example for most crypto builders to learn tldr: @TeamUnibot is not "just another tg bot” that anyone can copy, it’s well-executed, and better than 90% of team out there

shoutout to @xcurveth @Reethmos and rest of the team for the achievement; @whale_hunter_ for the amazing dashboard

How can we prevent another FTX event? Can an exchange blend safety & performance? Sharing a bit of my research...

Orderbook DEXs: the next exit for crypto?
- numerous orderbook DEXs, how to understand them?
- any novel developments?
- what factors drive adoption?

A🧵👇 ... Notice:
- if you prefer article format, can check my post at @paragraph_xyz

- While this thread is mostly about industry development, degens know what to look for (read: AIRDROP 👀 )paragraph.xyz/@zkzhao/jQjb0T…

Finally have time to post this ...

My take on the Crypto Data Landscape, the 2022 definitive edition
... with tons of updates from 3mon ago, a lot more covered now

A 🧵 👇 ... note: this thread focuses mostly on updates, and will not repeat major points from prev thread; if you're interest in this chart in general (overall structure, major products ... ), or curious to learn the most important ideas, please read the prev one

https://twitter.com/zk7hao/status/1576492616715116547

记录一下最近关于PM（产品经理）的一点思考

工作5年的pm和工作1年的pm有什么区别？因为看上去做的事情都差不多 1/
一直以来我都觉得做PM很容易

不是“哇我想了个牛逼的点子，明天上线”这种容易
而是——“竞品调研、客户访谈、快速原型调整、具体方案、上线后分析数据、复盘”，这种容易

My take on the Crypto Data Landscape 2022
... progress, new products and my predictions, updated from my prev one 1y+ ago

A 🧵 👇 ... - if you're a crypto user: hope this help you understand the crypto data space in general, and maybe find some products useful to you
- if you work in crypto data (analyst, dev, investor...): hope it cover sth that you missed 🤣🤣.

A summary on the Decentralized Identity (DID) space

A 🧵 👇 ... A lot of things are happening in DID, but it's kind of confusing as DID means different things by different people. After a bit of research, I find it's easier to understand from the above org / landscape chart; I hope it can be helpful for others.

行情比较无聊，写写 @GMX_IO
中文区讨论不多，是一个非常有意思的项目，1年内从链上杠杆/期货赛道20+团队中杀出，坐稳赛道前3. 如果不算dydx这种混合dex, 只考虑全链上dex，甚至可算第一大（比最早的 perp, 顶级vc背景的fst的交易量都要大） 目前日交易量100~200m, 和bitfinex futures接近; tg社区4k人; coingecko top 200, 估值略低于perp

An easier way to overview the crypto market? sharing some personal ideas. 1) things are happening fast in crypto, and it's easy to get lost/behind. i always feel frustrated and out of date when told by others that something is pumping/dumping.

@DuneAnalytics , the data platform for crypto all? some random thoughts 👇👇👇 1/ recently i was thinking about the data stack in crypto data space; and find we can categorize crypto data orgs into different layers: data collect, data dev, and data app (similar to data platform in big tech companies)