No regrets and we are very happy with it.
In another project, we started with nivo.rocks and eventually migrated everything to echarts. (Usermaven)
Hi there,We just received an email from Mercury that they are closing down operations from August 22, 2024 because we are resident of the country which is blacklisted.We've been using Mercury from last 4 years and processed in millions for transactions.What other banking platforms do you recommend?Thanks.
Hi,While building the application feature, how do you plan to work on the specific feature? Like creating the user-stories, gathering requirements?I am looking to improve my thought-process and cover most of the edge-cases edge-cases as a solo developer.
Hi,We're currently trying to build a proper testing process.Just having some unit tests and running the app a couple of times before shipping to production doesn't cut it anymore :)How do you organize the testing process in your company?What tools and procedures do you use?Thanks
Gives you an option to curate the content or follow with rich query builder.
We recently migrated from Codeship to Buddyworks and I could not say how much happier we are with their platform.
Features:
- Great support, integrates with all of the popular platforms.
- If you are deploying to K8, you have the UI option to select a cluster, containers, etc. and the code will be shipped there. (say goodbye to bash scripts etc)
- Parallel builds, if you have a microservice or similar architecture where you need to ship code in parallel, you can self-host using Enterprise license that starts with $170 and can get up to 20 builds in parallel. (Same thing on SaaS would cost you nearly $1000+ or maybe more.
- You can get on-prem solution up and running within 30 minutes.
Hi,We have a dataset around 150 million URLs and other meta data in ElasticSearch and looking for an efficient way to identify the duplicate URLs/titles from our dataset. Used ElasticSearch term aggregation but it becomes very slow and returns only 10,000 URLs and most of the time it misses the URLs.Currently, we have a redis with Sorted Sets, before any indexing URL, we look for the into redis...
A URL Shortener to shorten, track and optimize your links with catchy call-to-actions, retargeting pixels, branded links with powerful analytics.
Hey everyone,Looking for suggestion and recommendations, what would be your ideal choice if you are about to build a backlinks database and running later on PageRank algorithm on it. Our use case is to improve the search relevancy depending on the URL rank.Considered Storage DBs:1. Clickhouse 2. ElasticSearch (team is experienced with it, but finding a duplicate URLs etc. over a huge dataset is...
Hi everyone, We are currently using text classification model trained on a labelled data set consisting of almost 500 hierarchical categories , For example a news article is labelled as News/Business News , now what we want to do is extract sub-topics from this main category such as Stock Market , Trading News, Business Investment, Angel Investments etc . So what approach would be recommended...
Hi everyone,We are currently using text classification model trained on a labelled data set consisting of almost 500 hierarchical categories , For example a news article is labelled as News/Business News , now what we want to do is extract sub-topics from this main category such as Stock Market , Trading News, Business Investment, Angel Investments etc . So what approach would be recommended...
A common scenario is workers/crawlers are running on more than 100+ machines with supervisord with different configuration? What would you suggest for monitoring and knowing what kind of workers are running on each machine?Thanks.
Hey everyone!We are trying to solve a problem where we need to classify the articles into the right categories.Currently, using a FastText to train a model with 100,000 articles categorized into 600 categories. The loss seems to be converging but the precision is not going up, another thing that requires clarification is that can we use pre-trained Wikipedia English embeddings to categorize...
Hello Everyone!Currently, using ElasticSearch for storing the meta data and other raw data information but it is a very small scale around 500,000 domains.I have been tasked to scale it to 20-40 million domains and storing their internal/external links while building a page rank/domain authority score for each domain which we are adding to our database.What do you guys suggest/recommend for...
Other than that, you can check VSLs from Frank Kern, Chris Hadad and Ryan Deiss.
Also, check out swiped.co, you will find best ad copies/sales letter over there sorted by categories.
1. Use nltk to get all the nouns etc. from the topic.
2. You can use LDA/TF-IDF (gensim) for your questions to extract the most common topic.
3. Use cosine similarity once you have the corpus built to tag a question to the right category.
Look into gensim for more details for the topic modeling.
Betalist takes time approx. 2-3 months, so you should submit your product right now so that when you are done polishing it more, your product will be live there.
And, if you get enough upvotes on betalist, you will have good amount of sign ups for your platform.
After that you need to engage with them to get the maximum feedback for your platform.
Laravel + Mix will help you in getting started with single page app using Vuejs.
For the jobs, you can monitor them using Laravel + Horizon just like Sidekiq monitoring dashboard.
Also, in laravel 5.6, bootstrap 4 will be added as a preset.