Cyber criminals purchase advertisements that appear within internet search results using a domain that is similar to an actual business or service. When a user searches for that business or service, these advertisements appear at the very top of search results with minimum distinction between an advertisement and an actual search result. These advertisements link to a webpage that looks identical to the impersonated business’s official webpage.
In instances where a user is searching for a program to download, the fraudulent webpage has a link to download software that is actually malware. The download page looks legitimate and the download itself is named after the program the user intended to download.
而 FBI 建議個人的保護方式包括了 ad blocking extension,這算是減少被攻擊的管道:
Use an ad blocking extension when performing internet searches. Most internet browsers allow a user to add extensions, including extensions that block advertisements. These ad blockers can be turned on and off within a browser to permit advertisements on certain websites while blocking advertisements on others.
Kagi search is currently serving ~2,600 paid customers. We have seen steady growth since the launch 3 months ago. Note, this is with zero marketing and fully relying on word of mouth. We prefer to keep things this way for now, as we are still developing the product towards our vision of a user-centric web search experience.
後面在講財務狀況也是類似的數字 (幾乎都是 Kagi 的付費收入):
Between Kagi and Orion, we are currently generating around $26,500 USD in monthly recurring revenue, which incidentally about exactly covers our current API and infrastructure costs.
Between Kagi and Orion, we are currently generating around $26,500 USD in monthly recurring revenue, which incidentally about exactly covers our current API and infrastructure costs.
That means that salaries and all other operating costs (order of magnitude of $100K USD/month) remain a challenge and are still paid out of the founders’ pocket (Kagi remains completely bootstrapped).
然後要大概是目前十倍的付費數量才會打平 (25K 個使用者):
We are planning to reach sustainability at around 25,000 users mark, by further improving the product, introducing new offerings and pricing changes. With the product metrics being as good as they are, we should be able to reach this as our visibility increases.
比較好一點的消息是 churn rate 很低:
Product stickiness is also very high, with churn being lower than 3%.
We are currently serving around 70,000 queries a day or around ~27 queries/day/user (this includes free users which are about 10% of total users). There is a lot of variance in use though, with some users regularly searching >100 times a day. Every time we see a search count go >400 times in day we are happy to be an important part of someone’s search experience.
我看了一下自己的用量,看起來偏高一些,但沒到他說的每天平均 100 次:
然後提到了推出新方案的計畫,包括 Teams Plan & Family Plan,而目前在跑的方案會被分類到 Individual Plans。
Kagi Unlimited - $19/mo or $180/year ($15/mo) or $288/biennial ($12/mo) - Original Kagi experience, with unlimited searches
Kagi Starter ($5/mo; 200 searches) - For casual users who make less than 200 searches per month
Free basic - 50 free searches that reset every month
漲不少,雖然有提到在漲價前既有的付費使用者將會維持原價:
If such change to Individual plans is to occur, we plan to grandfather-in all early adopters (meaning all current and future paid customers, up until this change) allowing them to keep their existing subscription price as long as they don’t cancel it.
For example, if you did a search such as [“google search”], the snippet will show where that exact phrase appears:
[...]
In the past, we didn’t always do this because sometimes the quoted material appears in areas of a document that don’t lend themselves to creating helpful snippets.
If your system has less than 16 GB of RAM, you may experience various memory exceptions because default settings do not match this amount of memory. The recommended amount of RAM is 32 GB or more. You can use ClickHouse in a system with a small amount of RAM, even with 2 GB of RAM, but it requires additional tuning and can ingest at a low rate.
從 Hacker News 上的標題上就可以看到 Bun 做了不少事情,看起來想要打造一個 all-in-one 環境,把所有開發與 server 端 JavaScript 所需要的東西就一次包進來,不需要在自己東挑西挑...
比較特別的是 Bun 在選 JavaScript Engine 的時候是選擇 Apple 家推出的 JSC (或者稱 JSCore,正式名稱是 JavaScriptCore),而不是現在主流的 V8 (Google 家),據說這樣比較省記憶體,但 server 端應用應該是不缺這個記憶體才對?
JavaScript runtime with Web APIs like fetch, WebSocket, and several more built-in. bun embeds JavaScriptCore, which tends to be faster and more memory efficient than more popular engines like V8 (though harder to embed)
另外一個是強調啟動速度,這對開發應該有幫助,但對 server 應用來說好像還好:
Bun.js uses the JavaScriptCore engine, which tends to start and perform a little faster than more traditional choices like V8.
As of Feb 2017 Outlook (https://outlook.live.com/) scans emails arriving in your inbox and it sends all found URLs to Bing, to be indexed by Bing crawler.