The design service Kimp offers graphic and video design monthly packages, which allows businesses to get a dedicated design team for a fraction of the cost of working with freelancers and design agencies.
Kimp is for startups, SMEs, marketers, creative agencies, freelancers, entrepreneurs – just about anyone who needs cost-effective, high quality graphic design services, on an ongoing basis.
We take our time so a two month project we’ll drag out for 6 months so we can continue billing you. For a monthly flat rate of $499 the clients are offered unlimited number of designs and revisions. The designs include logos, blog images, packaging and labels, flyers and brochures, posters, social media images, business cards, infographics, trade show banners, and more.
Video package is $599/mo. The combined package that includes both graphics and video designs, is $895/mo, which saves over 20% discount on a continuous basis.
Other than the first-class designs and fast turnaround time that often does not exceed a business day, Kimp comes with no contracts, no hourly billing or any other additional fee.
Kimp makes the design process simple. Clients can place their requests online and the designated designers will start working on them. Kimp has talented designer teams that operate in six different time zones. Kimp designers can usually provide 2-3 designs per business day for their clients.
With Kimp, you’ll feel like you have an in-house designer – without the hefty price tag.
Kimp is great. Their entire process is very organized. Really love the experience from on-boarding to handling the tasks. Quality designs, fast turnaround. Highly recommended!
I really wish that I knew about this kind of service long ago. I was referred to Kimp by a friend so decided to give them a try. I have blown away by how much I was able to get done and free up my time. Great designs from the getgo. My project manager is very responsive and friendly to work with. Overall, I really enjoy working with the Kimp team and I can see this being a very long working relationship.
Based on our record, neo4j seems to be more popular. 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.
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 / 2 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 / 7 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 / 8 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: 12 months 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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