HN user
We did for ContentStudio.io, in fact it’s my go to library for every project that involves visualization.
No regrets and we are very happy with it.
In another project, we started with nivo.rocks and eventually migrated everything to echarts. (Usermaven)
Check out Usermaven.com.
Interesting one. Any plans for clickhouse data connector?
Netlify is down as well. https://www.netlifystatus.com
Usermaven.com does the same and covers product insights as well. Free tier is pretty generous (1M events per month).
You can use Usermaven.com. It’s a privacy friendly web analytics and product insights solution.
Have you checked ContentStudio.io
Gives you an option to curate the content or follow with rich query builder.
I'll recommend Buddy.works
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.
What approach would you be going for initially for deduplicating same urls?
Have a look at https://replug.io
A URL Shortener to shorten, track and optimize your links with catchy call-to-actions, retargeting pixels, branded links with powerful analytics.
Curious how much data they are covering and what kind of stack is powering DuckDuckGo? Anyone knows in-depth except highscalability article.
To add one more into list is betapage.
BuzzSumo competitor with a different set of features.
Have a look at Stride by Atlassian
Read letters from Gary Halbert, John Carlton and Jay Abraham. All 3 are the legends when it comes to direct response copywriting.
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.
Here is a brief overview of what you need to do:
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.com, betapage.co, and getworm.com
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.
Just to add a few more information to your answer.
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.
+1 for ovh ips.
Check out salesflare.com
Deepcrawl does that, but again it entirely depends on the website type and infastructure you have got.
For topic modeling, take a look at gensim along with k-means. Also, you can use tf-idf to improve the accuracy.
What would you suggest instead of mongodb for large scale production db? Our DB size is growing on daily basis and currently near to 200GB on a dedicated machine.
Have a look at wasabi.
+1 for incapsula or cloudflare.
BTW, interested in learning a bit more about your stack, we are on the same route but at smaller scale.
Check out fastspring.com
Diffbot.com
If you want to build your own, take a look at readability library or goose.
Their precision is nearly 80%.
To remove further noise you can use goldminer algorithm to have improvement furthermore.
We have written distributed crawler using celery/Rabbitmq.
Analyzing social signals real time and it is processing more than 10 million requests everyday. On the way to scale it to process more than 50-100 million requests per day.
Other than that doing nlp tasks along with machine learning using topic modeling, ner etc.
Vowpal wabbit is approx. 4-8x faster than gensim but the accuracy will be less compared to gensim.
Ezoic.com and taboola.com for the good cpm rates.