The Factual helps people find unbiased news on trending news topics. It applies a machine learning engine to transparently rate 10,000+ articles/day and curates the most credible stories across the political spectrum. The Factual's email newsletter and website are growing fast with strong engagement and retention. The two co-founders are from Stanford and IIT-Madras, and have raised pre-seed funding from Defy Ventures.
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Based on our record, neo4j should be more popular than The Factual. It has been mentiond 27 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
From the site, thefactual.com, MSNBC's credibility, or factual rating, ranks them in the 17th percentile. That means that MSNBC is less factual than 83% of the other news sources presented in the dataset. CNN is in the 15th percentile. Fox News sits right in the middle of these two in the 16th percentile. Source: about 1 year ago
According to thefactual.com, CNN received a Factual Grade of 53.3%, placing it in the 15th percentile. Fox News received a Factual Grade of 53.6%, placing it in the 16th percentile. Both are shitty, but according to this analysis, Fox News is marginally higher. MSNBC received a Factual Grade of 54.9%, placing it in the 17th percentile. You are a Dunning-Kruger ignoramus. Source: over 1 year ago
We also have a newsletter focused on credible news at thefactual.com, and we'd be happy to swab feedback! Source: almost 3 years ago
> Moreover investment of time on user side for newsletter delivering news increases with each newsletter vs One newsletter delivering what I want. You might be interested in this article[1] and the discussion of subscribed vs. Filtered sources. It'd be nice to have a convenient way to assign different priorities to newsletters/content sources. So for a few, you'd get every issue, and for the rest, they'd be... - Source: Hacker News / almost 3 years ago
Hi there, yes, we're planning a follow-up discussion for this week! Follow us via email at thefactual.com, or social media @thefactualnews and we'll keep you updated on the upcoming discussion. Our previous one did well, and we tackled multiple perspectives with data. We hope you can join the next one! Source: about 3 years ago
Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks. - Source: dev.to / 3 months ago
The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are... - Source: dev.to / 8 months ago
NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 9 months ago
Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now. Source: about 1 year ago
For organizations and their applications that are designed to detect fraud, like International Consortium of Investigative Journalists, or try to improve customer experience via personalization, as in the case of Tourism Media, a NoSQL graph database like Neo4j is a good match. In these kinds of use cases, the quantity of data we're dealing with is enormous, and the pattern we're searching for in the data is often... - Source: dev.to / about 1 year ago
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