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theknight

A problem job boards have: The more jobs they add the harder it is to find one

A few months ago, I launched ProsperCircle.org remote job board. I was obsessed (and still am) with adding high-quality remote jobs and providing people with a wide selection or remote job opportunities.However, the more jobs I added, the harder I made it for people to find the best match.The job "discovery" process became harder.And this is a problem for almost all job boards.Frankly, many job...

( Read More... | no comments | 7 points | on HN )
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When people land on your webpage, give them goals. (Growth Experiment – 2 Cases)

Here is a growth experiment I ran with a positive impact and wanted to share it with everyone here.Google uses several signals to identify if a page they sent people to is high value or not.One of the important signals Google uses is time spent on a page.This experiment is tied to time spent on-page and has contributed to over 100% uptick in Google organic traffic in the last two weeks.It is a...

( Read More... | 1 comment | 4 points | on HN )

Show HN: Read why I launched another job board for remote jobs

Hey everyone,Just launched a remote job board on ProsperCircle.org - https://www.prospercircle.org/Now, before you say another job board. Take a second to read why I created another remote job board.There are three reasons listed here - https://www.prospercircle.org/aboutHowever, the TL;DR of the three reasons (squished in 2 bullet points) is:1. The ProsperCircle.org tool uses NLP to analyze...

( Read More... | no comments | 5 points | on HN )
My personal itch was to know coronavirus case numbers near my friends and family homes. I just didn't want to know there are 24K cases in Georgia. I wanted to know how many confirmed and new cases are near John's Creek, GA where my parents live.

So I built this tool.

The primary source of US data is Johns Hopkins University geocoded coronavirus data. For international locations and some US locations, I use a combination of public sources - CDC, WHO, ECDC, etc.

For a US location, you can see the number of cases reported in the county of the address. The tool also allows you to see estimated coronavirus stats within a 5-mile and a 10-mile radius of a US address. This number is estimated by combining current county data, with neighboring county data (based on the geographic location of the address and the radius selected), census data, and FCC location information.

Some locations that friends and colleagues are tracking include, their homes, office locations, grocery stores, schools, child care centers, places of worship, etc.

Would love to get Hackernews community thoughts. Hopefully, it is useful to improve the signal to noise ratio when tracking coronavirus stats.

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