Google proudly says they invest in open source software. Have they open sourced any tiny part of Google search?
logic and algorithms used in Google search shape the world. In fact
there is a good chance that the Google search algorithm is more powerful
than the US president. Such a critical application is managed by few
engineers at Google. No doubt they are super smart. But are they smarter
than the rest of the world? If Google was open source, it would
encourage true diversity in ideas.
I have many more to tell like “The filter bubble problem”,”Page Rank Shut Down”, but complaining is easy.
Initiatives like Common crawl and exist to encourage an open source Google but are yet to mature.
Hence we have launched Sarchy It is open source and customizable search engine. Very soon, we will be adding a lot of customization features. Like the user can choose if they want more relevant or more popular web pages and the user can choose how much influence social media signals can have on webpages etc
News apps like Google News, Flipboard, BBC, Inshorts show trending articles written a day or two back. If say there are hundred articles written in a day, these news apps pick just a few of them. It is a time saving feature. But they lack a key flexibility.
you haven’t read any news for the last 1 month or 1 year. If you open
any of the news apps or news websites, you will still be shown trending
articles written a day or two back and not last month or last year.
Hence I and my friends(Domnic Amalan, Deepak, Rejo) have created https://www.condense.press. It picks popular articles of a website in a time range we specify.
2) Adaptive learning. You can search for a term and then search the same term a minute later to see better results.
3) Uses social media statistics and Page Rank Algorithm as a ranking parameter
4) Search engines balance relevance of the search term and popularity of webpages in their results. Sarchy will let the user choose if we want more relevant results or more popular results. This feature will probably be available before May, 2019. This will let the user balance between unbiased results and avoiding fake news
5) Google and DuckDuckGo search algorithms are not open source. “If it is not open source, it is not safe”- Richard Stallman. Sarchy is Free and Open Source.
6) Google has shifted back and forth between ranking reliable publishers high and ranking individual bloggers high. They have got into trouble either ways , . Sarchy algorithm is fully customizable by the user.
7) Do you know that every time you click a webpage in Google search, you are first directed to a Google url and then to the intended webpage. This not only causes privacy issues but also slows down the loading of webpages.
8) Sarchy is based on Distributed P2P architecture like Torrents and FireChat. Yacy which is the parent of Sarchy works offline.
The present world largely revolves around google and google revolves around Contents/Blogs. No matter how much you involve yourself in paid marketings and campaigns, there is always going to be someone with the right content analysis/research and insights who is going to be one step ahead of you without investing a single penny.
How to become a smart content marketer?
1. Have extensive knowledge about recent trends
News Diet gives you the trending news topics around the world at that particular day which gives you an idea about the content that you should focus on.
2. Catch up on what people are sharing aggressively on social media
We provide you with the top shares of the day and also the deep insight about that content. Moreover, we fetch you the related topics and articles that were trending in the near and far past. (News Diet)
3. Evaluate your current topic
You can use our pre-analysed data for your related topics and articles.
We know that your time is precious so our News Diet algorithm keeps track of the topics and the right influencers for that topic. By identifying the right influencer, you can reach out to them to influence your content or campaign to the right audience.
5. Create high performing content
News Diet algorithm analyses each and every article to determine the reason behind its success such as word count, advisable topic length and competitors website analysis, etc.
So News Diet makes sure you’re always one step closer to generating more leads.
average a user reads about three to ten articles per day which amounts
to 15 to 50 minutes per day. For a month it’s about 450–1500 minutes.
There is a saying “What is important is seldom urgent, and what is urgent is seldom important.” by Dwight D. Eisenhower
Media and News Applications focus only on the recent articles and not
on historic ones. This makes the user spent time on quadrant 1, quadrant
3 and quadrant 4 and not on quadrant 2. But according to time
management principles focusing on quadrant 2 is important and less
emphasized by many.
By using www.condense.press
the reader can consider picking about 20 to 50 popular articles per
month. This takes around 100–250 minutes per month. With this lesser
time spent, most of the important articles have been covered. It takes
about 4.5 to 6 times lesser time to read just the popular articles.
in a knowledge worker age. We attain information from books, news,
internet, people, life experience, and everything else.
Books are highly condensed but outdated. News articles are fresh but not condensed. So there is a gap between books and news.
current recommendation systems used by news websites like BBC or apps
like InShorts or Google Assistant News are not user customizable
particularly with respect to time. For example the user cannot pick the
most popular articles as per the time specified like say last year.
So I made a webapp which is live at https://www.condense.press/
It shows the popularity of the articles, the dates written, the number
of words and the category of the articles through charts and other means
which will help the user in picking the right article to read.
Also personalisation and analytics used by Facebook and Google News is not user customizable. For example, in Facebook a user might not click the Like button of a post for privacy reasons but might actually be interested in it. In such cases the user is not given the control to tweak the algorithm. Another example is that search engines balance relevance of the search term and popularity in their results. I aim to provide control to the user on what should be prioritized more.