Organizational search software platform.
35 M FILES
<50ms SEARCH SPEED
~10 CLOUD INTEGRATIONS
Meta needed a low maintenance, highly-accurate search service which could work in tandem with their smart-tagging technology.
Tweaking data and forming “smart indices” so as to accurately reflect Meta’s tagging technology to optimize search.
Search Speed on the website
Decrease in time to market
Meta is an organizational search software which enables users to find and edit files across all devices and cloud platforms from a single interface. They’re able to do this by intelligently tagging files which addresses a common painpoint - organizing and structuring documents. Founded just a year ago, Meta has already completed two rounds of funding and is set on a path of explosive growth.
The Meta Story
The Meta concept came into being when one of the co-founders, Jason Briggs was attempting to unsuccessfully help his mom retrieve files on her desktop. After spending considerable time organizing his mom’s desktop, Jason built a program to try to automate this organization but within a week, they were back to square one. That’s when Jason realized there was a need for software to help people find all their files from a single portal and voilà! Meta was born.
In 2015, Meta was looking for a high-performing search solution which could help them with their main objective of enabling users to find files easily. They started out using an open-source, in-house solution with custom spacing to power their search, but soon realized that, being a small team, they wouldn’t be able to concentrate on business development if they had to dedicate resources to optimizing and maintaining an internal search solution. Meta was evaluating various other solutions when a case of pure serendipity brought them to Algolia and they heard about the solution at a co-working space. “Algolia’s tight feature set and its hosted model were very attractive for us since it required very little maintenance,” says Aaron Taylor, Co-founder and CTO of Meta. So they decided to give it a shot. Implementing Algolia simply needed us to restructure our data to ensure that the information on the indices we created reflected our tagging intelligently. We were also supported by Algolia’s responsive customer solutions engineers
Meta started out building their MVP using Algolia’s solution by making a first pass on creating indices that didn’t compromise on their tagging technology or Algolia’s lightning fast speed. “Implementing Algolia simply needed us to restructure our data to ensure that the information on the indices we created reflected our tagging intelligently. We were also supported by Algolia’s responsive customer solutions engineers” reveals Aaron. The team also found creative ways to use Algolia in order to tailor it to their product’s specificities, such as having an integration with cloud backup and string processing, which is generally regarded as a challenge for data search.
Speed of Search
Today Meta’s search returns results at a speed which ranges between 40-50 ms. This is commendable because Meta processes millions of events on a daily basis and needs to send a subset of that data to Algolia which needs to be optimized in order to achieve the lightning-fast speed characteristic of Algolia. Meta has achieved this by tackling event-tracking and analytics in house, as well as by fine-tuning their data to ensure that it works in tandem with Algolia’s technology. We’ve seen an overwhelmingly positive reaction to the speed of our Search. Apart from this, what ultimately sold us on Algolia is the ability it gave us to concentrate on other aspects of growing our business, which is essential for any start-up in its early stages
The first changes they noticed after integrating Algolia, apart from the lightning fast speed of search was a much broader reach of search which considerably enhanced the quality of the product. Their beta users seemed to love the real-time aspect of the search offered by Meta. “We’ve seen an overwhelmingly positive reaction to the speed of our Search. Apart from this, what ultimately sold us on Algolia is the ability it gave us to concentrate on other aspects of growing our business, which is essential for any start-up in its early stages,” says Aaron. Algolia has been a part of Meta’s journey since its initial days. Meta started out in 2015 with a Starter plan and built their MVP using Algolia, today, they’re an enterprise client, just having received their second round of funding. Meta is poised on the brink of achieving phenomenal growth and Algolia hopes to continue to be a part of their core technology as they reach greater heights.