newscatcher VS seaborn

Built this news website for my portfolio using NewsApi.org but turns out its only got CORS enabled for localhost which I found out when I was about to publish my web page. Found and tried another API from newscatcherapi.com but it only gives me 50 API calls for the free plan which I ran out of very quickly.

I think you would benefit from a news data API like our newscatcher. We don't drill down to the state level (yet) but we do allow you to filter news by country, language, individual sources, date ranges, and you can also use a query like "fire" to search for relevant articles. And the data is returned as JSON objects, so it's pretty easy to work with.

Hi Jakub,

Nice. I want to talk to you about the news feed: it could be more than just the latest news (NLP enriched)

I'm a co-founder of https://newscatcherapi.com/

I'm so sick of top notch trading platforms to just provide a list of latest news while there could be so much more insights.

Well, if you'd want to discuss it: https://savvycal.com/newscatcher/chat

If all you care about is raw data, newscatcherapi.com is one of the best options. They already have over 60,0000 sources and readily add any sources you want to cover.

Share your startups here, and get some feedback from the HN community.

For the first time applicants: show your progress for the next batch in case you don't get accepted.

Startup: NewsCatcher

Website: https://newscatcherapi.com/

One-liner: We turn online news into machine-readable data

The Newscatcher API enables developers to find news articles from major news sources and blogs based on any topic, country, language, website, or keyword. The Newscatcher API features simple integration and niche-specific content.

Give newscatcher a try

We’re ~17k MRR right now. Being doing it for almost 2 years.

What made us take off is I and my cofounder running through our savings. I did it for ~15 months.

One thing I had to start doing earlier is not trying to get everyone buy our product (we sell news articles published online as a source of data for insight mining) [0]

I’ve lost so much time on people who’d never be able to use what we have unless we completely change our product.

And yeah, marketing is super important. And, it’s going to take some time.

[0] https://newscatcherapi.com

If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.

I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.

I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.

For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.

Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).

The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.

It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib).

While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.

https://seaborn.pydata.org/

Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.

Matplotlib Seaborn Example data sets

Seaborn - Statistical data visualization using Matplotlib.

Github: https://github.com/mwaskom/seaborn

Seaborn Documentation

You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts