What is Algolia?
What is BigML?
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What are the cons of using BigML?
What tools integrate with BigML?
Maxime is a big supporter of Product Hunt, recognizing the continual request that I add search to the product from others in the community. Having seen many frustrating search implementations on other sites, I assumed it would be hard to integrate and provide something useful. Algolia proved me wrong (see the results here: http://producthunt.co/search).
I'm impressed with the speed and amazing support from the Algolia team. The dashboard analytics and management are incredibly useful, providing insight into how people are using the product and ability to act on those learning without changing a line of code. I would highly recommend it.
Having a great search engine is extremely important for our app store. We find that users love to search, not only when they know what they are looking for but also to discover content around different themes.
In a very rushed period with lots of things to do in parallel, we found that Algolia offered a high quality solution that perfectly solved our problem and we had a first version working great in less than a day.
We also enjoyed getting their feedbacks and ideas to help us improve our search and we are now using Algolia in our internal tools as well. We strongly recommend them!
We were looking for a better search solution for GrowthHackers.com for a couple months. All the options we looked at were either too complicated to setup, didn't have the features we needed, or were too expensive. Algolia hit the right balance for us. It's super fast and easy to customize, and the documentation and examples for getting started are great. Most importantly though, their support rocks. It's always a pleasure talking with their team.
I'm Antonio, TVShow Time's CEO, a startup that has more than 100k+ active users.
Before Algolia, we were using Elastic Search that was costing a lot (hosted on 2 big EC2 instances) and with results that weren't that relevant.
Then we switched to Algolia, in 1 hour. We were blown away by how easy the integration was for such a good relevance in results and high performance.
We tried a lot of services at Socialcam to handle our massive user base. All of them couldn't handle that number of users.
Algolia handles it without any problem but on top of that, it does it at full speed: we get results back in under a few milliseconds. Last but not least, it does it with error handling, which is great as typos are very frequent on mobile...
Let's be honest here guys...the internet, technology, software, and most likely the lights wouldn't be on without Stack Overflow.
We are avid consumers of Q&A on Stack Overflow and other communities on the Stack Exchange network, and definitely wish to extend a heavy thanks to all the help is has provided over several lifetimes of various developers' and engineers' careers. We all try to answer questions, upvote, and comment when we have some knowledge to share, and aren't afraid to ask a question ourselves from time to time (and neither should you!).
StackOverflow darf natürlich auf dieser Liste nicht fehlen. Die riesige Community konnte uns bereits bei verschiedenen Problemen zur Hand gehen, die wir nicht lösen konnten. Auf viele Fragen findet man hier eine Antwort und ohne StackOverflow, würde dem Entwicklerdarsein wohl etwas fehlen.
Stack overflow HAD to be included in this list. We can't count the endless hours stack overflow and its huge community has already saved us and will potentially save us in the future. Stack Overflow is the proof that nearly every problem one may experience, another one has already solved.
Algolia helps us search across disparate pieces of information in our staff portal, and allows customers to easily jump around the portal between devices, support conversations, and documentation.
This is the bedrock of kako.pk - it not only serves the JSON data, it doubles as a (very fast) web-server if you connect to the client JS widget libraries
The go to source for PrometheanTV technical staff when they have a technical question or need help from the broader development community.
Used Stack Overflow to check out some recipes or know-how whenever idea comes into development to see if there's already a practice.
We use algolia to power our product search / filtering (https://www.shoesofprey.com/shoes).
We started with Algolia, but switched to our home-backed full-text search solution. It's serverless, based on Lunr.js