theknight

Thank you for the feedback.

Any suggestions on messaging and copy?

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.

this can potentially be a "mod" play... where individual gamers can change game "skin" and stream videos on youtube...

I want to use this tech on old history books.

Even though IBM Watson incorrectly picked up some sentiments. It does a pretty decent job overall. Pretty satisfied with the results from this experiment.

@sadikkapadia - Any idea why Recommendation Engine as a Service has not picked up? I realize that building a use-case specific recommendation engine is unique.

However, I am wondering is there a recommendation engine as a service, which is similar to algolia available/possible.

I see only 2 players - yusp and recombee.

I'd appreciate any thought you have on this.

Thanks for sharing the repo. Was the course on recommender system or just a CS course and you chose to build a recommender system?

Software can encourage dialog, and engagement between employee and employer and work as an early warning system for employer to determine "at risk" employees and also make the employee more connected with the employer. Now I know few software companies exist that work on employee engagement - tinyhr.com, halogen software, officevibe etc. However, still the plethora of software dedicated to recruiting far outnumbers the ones dedicated to retention. So was wondering if this signifies where HR dedicates their effort - recruiting vs retention.