-(中文版本往下滑!)
We finally comes to the post introducing BH Cosmetics x Carli Bybel deluxe edition eyeshadow palette!
Who haven’t seen the makeup looks I created using this palette? I’ll put the looks on my stories! Be sure to check them out if you haven’t 🥰
This palette is based on warm tone shades, from red to gold to brown, and a bit purple. The highlighter part has more white and cool tone shades.
To be honest, I’m slightly disappointed with the texture of the eyeshadow. They’re mostly rough when I swatch them on my hands. I’ve only used their brushes before and they were great, so I didn’t expect this at all😂 Well, but I suppose you guys can’t get your hands on it nowadays for it’s not a new product? At least they look great in the photos😝
Have you ever tried bh cosmetics’ makeup or tools? What are your thoughts?
Let me know in the comments down below:)
Swatches 👉👉👉
Wish you all a lovely day 🌸
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終於來到介紹 #bhcosmetic 和 #carlibybel 聯名眼影盤的貼文啦!
還有朋友們沒看過之前用這盤發的眼妝貼文嗎?快去限時動態看看!
這盤的顏色主要是暖色調,紅到金到大地色系都有,還有一點紫色!打亮的部分有比較白跟偏冷的顏色!雖然這盤原本的定位應該是包含打亮的眼頰盤,但我還是會把它定位成眼影盤~
粉質比想像中失望,有點粗~但之前也沒有使用過bh 的眼影過,只有用他們家的刷具(刷具覺得不錯👍)現在這盤應該也買不到了?如果是想擁有多色眼影練習的新手可以考慮他們家的眼影,老手不推薦~😢
你們有用過bh 的彩妝品/刷具嗎?
歡迎留言跟我分享心得~🥰
手部刷色👉👉👉
祝你們有美好的一天🌸
#makeupklever #化妝品分享 #化粧 #アイメイク #motd💋 #dailymakeup #아이메이크업 #메이크업아티스트 #오늘의화장 #눈화장 #makeupkontent #makeupidea #makeuptoday #100daysofmakeupchallenge #wakeupandmakeupsweeps #眼妝 #美妝 #美妝分享 #messymakeup #popdaily波波黛莉的異想世界 #眼影 #眼影盤 #眼影控 #eyeshadowpalettes #eyeshadowpallete #bhcosmeticspalette
同時也有10000部Youtube影片,追蹤數超過2,910的網紅コバにゃんチャンネル,也在其Youtube影片中提到,...
「least expect中文」的推薦目錄:
- 關於least expect中文 在 D.A. Facebook 的最讚貼文
- 關於least expect中文 在 Zen大的時事點評 Facebook 的最讚貼文
- 關於least expect中文 在 貓的成長美股異想世界 Facebook 的最佳解答
- 關於least expect中文 在 コバにゃんチャンネル Youtube 的精選貼文
- 關於least expect中文 在 大象中醫 Youtube 的精選貼文
- 關於least expect中文 在 大象中醫 Youtube 的最佳貼文
- 關於least expect中文 在 最好的總會在最不經意的時候出現。 Don't try so hard, the... 的評價
least expect中文 在 Zen大的時事點評 Facebook 的最讚貼文
這兩天在讀人脈變現(superconnect),作者針對弱連帶理論展開了相當全面的論述,還介紹了如何更有效開展弱連帶的方法。
好比說將自已的出版品當成串接節點的樞紐,多結交低相關且多元背景的人,人際關係淡薄但長期維持好過濃密卻緊密。
又,超級節點本人未必一定是外向性格,認識多元領域的內向性格者也是好超級節點。
諸如此類。
是優點也是缺點的部分,故事篇幅占太多。故事多當然好讀,缺點是一個概念實在不需要講那麼多故事來解釋~
雜讀也算是一種在腦中建立弱連帶的概念...
思想的弱連帶有助創造新想法...
俗稱之為觸類旁通,或稱為學習轉移!
這兩三年蠻多商管書開始大量的談論與擴散弱連帶與六人小世界的知識觀念,應用到業界。
社科界每次有公認有效的理論概念問世就會被商管書界作者拿去發揚光大甚至發展成自己的課程與認證,該說社科界太左派的傳統阻礙了將知識本身發揚光大以及創造產值的機會嗎?
社科界是應該自己站出來創造產值了,不然教育主管單位都紛紛以社科的商業價值貢獻低在砍各科系的經費了,而並不生產只是挪用知識並普及之的商科卻是益發強盛,賺一堆錢~
least expect中文 在 貓的成長美股異想世界 Facebook 的最佳解答
[科技業的護城河]
這篇是講矽谷投資人, 是如何在一堆的新秀中, 挑選可以投資的創新公司.
裡面有提到護城河.不過有些跟"尋找投資護城河"一書提的不太一樣.
我也認為, 研究個股, 尤其是科技相關類股, 除了要看它有沒有先行者優勢(first mover advantage), 也需要注意公司有沒有自己的生態系統, 以及它在更大的生態圈/供應鏈中扮演了甚麼角色.
********
(中文譯稿見此:https://36kr.com/p/5141901)
常見的護城河至少有以上六種:
技術。更好的基礎技術當然是一種護城河。在極端情況下,能夠為客戶帶來利益的新技術可以演化為一種行業標準,你也可以把它理解為一種壟斷,就像英特爾一樣。
生態系統。 YouTube 從內容生產者、分發渠道到內容的託管、保存,建立起了一整套生態系統。類似的,蘋果的 App Store 也有自己的生態。
網絡效應。社交網絡現在已經很好理解了。此外,如果某種按需服務具備了一定的流動性,並且與消費者建立了親密關係,或者是基本控制了需求或供應方其中一方,也可以算作網絡效應。
產品領導者。像 Salesforce,Workday 和 ServiceNow 這樣的雲服務提供商,搭建了一套完整的解決方案,而且創新速度夠快,產品功能完善,成為其細分行業的領導者,當然也算是一種護城河。
渠道。尤其是對於 to B 產品來說,能不能在一個企業內部流通,既是一個挑戰,也是一種優勢
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原文寫的比較仔細, 轉貼在下方: https://news.greylock.com/what-do-i-look-for-in-a-pitch-866355bddb3
We love to talk about “network effects” in Silicon Valley, but many believe that starts and end with the social, viral growth of Facebook. But network effects can build many kinds of moats that defend them against copycats and price erosion.
I don’t describe every kind of moat here (e.g., regulatory) and many great companies will have new types of moats — ones yet to be invented. No moat is absolute or permanent or I’d be out of a job! Still, having a thesis on your defensibility is essential, even at the Series A.
--Tech. We continue to believe in new and better fundamental technology as a moat — not so much patents or legal protection, but products that are hard to build well or take advantage of a fundamentally new approach. In extreme cases, a technology advantage that translates into a customer benefit can turn into a standard — an effective monopoly — as in the case of Intel. In most cases, even a great technology moat only gets you far enough to become a market leader, buying you the right to work closely with customers and enabling you to define the market.
--Ecosystem moats come in many flavors — from becoming the default hosting site for user-generated video content (YouTube), to the rapid, developer-driven free adoption of container technologies and growth of associated tooling (Docker), to the developers that now make >$20B a year through the Apple app store.
--Networks. Social networks are now pretty well-understood. Marketplaces and on-demand businesses reach a liquidity point (even a local one) and build mindshare with consumers that becomes hard to displace. Often, marketplaces have some advantaged acquisition strategy for at least one side (demand or supply) — they’ve built a community, offered a compelling new service, have organic or viral spread.
--Product leaders. In the enterprise, cloud pioneers like Salesforce, Workday and ServiceNow built complete, core workflow solutions with a new architecture. Their faster-innovating products, (at that time novel) SaaS consumption model, and dominant go-to-market machines have made them category leaders. Each is now expanding their initial moats to become platforms for other applications and workflows.
--Distribution represents a new generation of user-adopted SaaS products. End-user engagement within organizations is often a weak spot for enterprise software incumbents. Deploying software is a challenge for most organizations, and consumers who are using more software in their own lives expect better choice and usability. Simplicity and quality of design has become a moat, especially when coupled with product features that encourage adoption within an organization, or new layers of value for incremental users within an organization. Is it better for me if my team also uses a tool? What about my manager?
Capturing a unique dataset is also emerging as a moat in the age of AI-powered products. If your workflow product or MVP is useful on its own, and you can use it to collect unique data, you can then learn from that data to build a better and smarter product, improving the user experience — driving a new virtuous cycle.
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