Welcome everyone to our latest Meilistar interview! To our faithful readers, you already know the gist of it all, but if it’s the first time reading this type of blog post, the [Meilistars](/blog/2023-contributor-program-restrospective/)re Meilisearch’s very own contributors program, populated by some of our most talented or oldest contributors.

Who is Vishal?  

-----------------

Today, we’re sitting down with Vishal Sodani, Mumbai-based freelancer. Not only is he a self-taught polyglot programmer, he’s also been building web-based products, mostly in Django, since 2011. He’s the developer behind learned.vcreation.xyz to which he integrated Meilisearch. Aside from his dev experience, Vishal is an avid reader and a chess enthusiast!

But that’s not all:

> “I love exploring Rust now and then. I built learned.vcreation.xyz (a note taking and bookmarking site) in actix-web and published my only crate for a client [https://crates.io/crates/migamake-api-cloudflare](https://crates.io/crates/migamake-api-cloudflare)”

Not unlike our very own integration manager Bruno, [whose interview you can read here](/blog/hacktoberfest-stories-from-contributor-to-manager/)ishal discovered Meilisearch at the occasion of Hacktoberfest, the yearly celebration of open source!

An October-themed adventure  

------------------------------

It is positively thrilling to know Hacktoberfest still remains a source of discovery for open-source enthusiasts year after year! Indeed, [Hacktoberfest 2022](/blog/hacktoberfest-2022-recap/)as far from Vishal’s first participation, but rather his fourth. We consider ourselves lucky to have managed to catch Vishal’s attention last October, especially considering it’s the only time of the year he’s able to contribute to various projects due to his busy schedule, but the developer returned our love tenfold:

> “I love the easy setup and usage of Meilisearch.  
> While searching for open-source projects to participate in Hacktoberfest, I unexpectedly came across Meilisearch. Having already implemented full-text search using Postgres, my curiosity piqued when I learned about Meilisearch, and I became increasingly interested in exploring it.”

This is definitely a point we take great pride in: being able to easily get into the Meiliverse and use Meilisearch right away! We’re glad Vishal got that feeling too!  
  
Coincidentally, we’d also written a blog post about Postgres ([that you can read here if you wish](/blog/postgres-full-text-search-limitations/)o we were curious to know if Vishal agreed with the content we wrote or if he’d had a different experience on his side:  

> “When it came to utilizing Postgres full-text search, I had a rudimentary understanding. Getting started with it involved delving into documentation and articles. Subsequently, I developed code in Golang to execute queries to the back-end for conducting searches. It was a trial-and-error process, but eventually, I managed to make it work. However, in contrast, using Meilisearch for the same use case was a breeze.”

Seeing as Vishal discovered Meilisearch during Hacktoberfest, we were curious to know how his contribution journey went at such a frantic time. Thankfully, he only had good things to share about our maintainers:

> “The experience was smooth. I was able to set up the repository easily. And, during my contribution I was given timely excellent guidance. So, this made my journey enjoyable.”

The battle for constant improvement isn’t over!  

--------------------------------------------------

As a final point, we were eager to hear about which features were Vishal’s favourite, and which ones could still use some work according to him:  

> “Right now my favorite features are - ease of setup, client library in golang which makes it easy to add documents from my golang web app, documentation is good which makes it easy to know the features available and their usage.  
> I think it would be good to have more complete examples in repository; though I have not looked at repo since sometime; collection of advice/notes from real-world usage shared by other users. Sometimes when I browse issues I find interesting comments by users which helps one to learn.”

Especially valuable feedback as we’re constantly working on improving our [SDK](https://www.meilisearch.com/docs/learn/what_is_meilisearch/sdks#sdks) documentation!  
  
A big thank you to Vishal for his time, it was lovely hearing about his experience and we hope his story, as well as [Bruno](/blog/hacktoberfest-stories-from-contributor-to-manager/)’s will inspire many more to join us during future events!

Vishal Sodani: POV of a Hacktoberfest contributor

Today, we’re very happy to be sitting down with another of our Japanese language experts whose help was absolutely invaluable to reach the point that we have in support of the language: Miiton!

Getting to know Miiton
----------------------

As usual, we wanted to start the interview by getting to know a bit more about Miiton:

> “Hello, I'm @miiton, and I live in Japan. While I don't have a specific area of expertise, I've been involved in a variety of fields from networking to application development. Before I got into the kind of development work I'm doing now, I spent a lot of time setting up and configuring server racks. Recently, my work has been centered around developing and maintaining an EC site, primarily for B2B transactions, using React and Go mainly.”

We were impressed with the variety of his background, which prompted us to ask how he got into the field in the first place:

> **“**I used to work setting up and configuring server racks, configuring network, server machines, storage, etc. However, with the advent of VMware and the growth of AWS and GCP in the background, I shifted to software engineering while learning programming on my own. I originally liked things like automating deployments with PowerShell, so the transition was smooth.”

Milton also shares that he initially found Meilisearch on GitHub while trying to add an Algolia-like search feature to his support documents.  
  
Is his experience similar to any of our other contributors or users? Do let us know if it’s the case!

A constant work for the improvement of Japanese support
-------------------------------------------------------

  
We then asked what, according to him, could be improved about Meilisearch at this point in time:  

> “Japanese language support and analysis functions. Japanese language support has [progressed quickly starting with PR](https://github.com/meilisearch/charabia/pull/70), but it is still not enough to handle Japanese. [](https://github.com/meilisearch/charabia/pull/70)I am impressed that @ManyTheFish actively listens to me in Discussions and on Twitter. I respect him because he understands Japanese even though he doesn't speak Japanese. [](https://github.com/meilisearch/product/discussions/532)The [analysis function](https://github.com/meilisearch/product/discussions/532) is an important indicator for us to know what users are looking for and what content we need to provide.”

  
Indeed, Many, search engine engineer at Meilisearch, has been doing his best work to tame verious languages! The least we can say about it is that it’s far from a walk in the park. If you’re curious and wish to read more on that topic, you can [find Many’s interview here](/blog/improving-meilisearchs-language-support/  
  
It is not the first time we heard that Japanese is a particularly tricky language to tackle, and we wondered if Miiton would be able to explain to us why it is the case:

> “This is because it is difficult to determine whether a "Kanji-only strings" is Japanese or Chinese. The current implementation of Meilisearch recognizes "Kanji-only strings" as Chinese, so 東京 is normalized to 东京, making it impossible for Japanese users to search for Tokyo. This has been worked around because @ManyTheFish private-release a prototype that forces Japanese, but I hope it will somehow be resolved and incorporated into the main branch.”

  
We can only imagine how bothersome the current situation is for our Japanese users, which is also why we’re so grateful for contributors such as Miiton or [Mosuka](/blog/meilistar-interview-minoru-osuka/ for their continued support in improving the language.

Milton then goes on to explain that Meilisearch is the only open-source project to which he contributed in recent years! Naturally, we were intrigued to learn what motivated him to take that first step and start contributing:

> “It made me think, "I want to use this." Because I was shocked that I could start it up without thinking, just throw in some JSON, and use it right away.”

We were genuinely curious to hear about his firsthand experience contributing to Meilisearch, especially considering it was his first time contributing to an open-source project in a very long time:

> “Contributing to Meilisearch has allowed me to reconsider the multitude of factors involved in implementing a search system. It also gave me the option of using Meilisearch for now. I am convinced that this experience will definitely be useful in my future work. It was also a good opportunity to get in touch with Rust ”

And what a surprise to learn Miiton wasn’t familiar with Rust before contributing to Meilisearch!

A further insight into Miiton’s projects  

-------------------------------------------

Finally, we asked Miiton to share more about the projects he’s been using Meilisearch with:

![Image](https://lh4.googleusercontent.com/qEIsc8BYgC7K5i5TUuLlqU3oGP4tHgWNDOuw8iGtKE4oTJeApun7gutJBUaJ63q0lR0-i1H0hOR3LxzTT2ee_-O0RVYN5RcQZ_eaKLLqjNcYk-8ULyMGRCwpxO-gDpot79Igrz5pH0bHDHz_Nz6x-y4)

> “(I'll refrain from disclosing the specific site, as I can't.) An interesting recent effort is the integration into Shopify. Shopify has a standard & easy-to-use search function, but it only supports up to 1,000 products, and beyond that, you need to consider signing up for a third-party Shopify App. Furthermore, few of these apps are optimized for Japan, and even if they were, they were expensive. Using self-hosted Meilisearch has been a good fit so far. (I'm using the Prototype version with force Japanese language support, so this is not a implementation we can recommend to everyone at this time.) I'm operating a site with roughly 10,000 products on a 2GB memory instance, and I have plenty of resources to spare. I'm also using Prometheus' Metrics (experimental implementation) to create and monitor Grafana screens like this one.”

But that’s not all! As a hobby, Milton also created a public site where he showcases the search experience of Meilisearch in Japanese. You can find the website here, so don’t hesitate to give it a look and lots of love: [https://meilisearch-example-jp.miiton.dev/](https://meilisearch-example-jp.miiton.dev/).

And aside from language support, did any feature catch his attention in particular?

> “Of course response speed and UI development experience. I like that it is InstantSearch.js compatible because of the good development experience. It was very easy to create the above demo site. I don't have to tell you how fast the response time is.”

We couldn’t be more appreciative of Miiton’s time for this interview, and for all his continued support for the improvement of the Japanese language in Meilisearch.  
  
If like Miiton you’re also fluent in a non-european language and are interested in seeing your language improved in Meilisearch, our [Charabia repo is always open to you](https://github.com/meilisearch/charabia)!

Miiton: a master of Japanese has entered the fight!

Today, we’re joined by Gregory, or you may know him as GregoryCongad on Github, for yet again one of our Meilistars interviews!

Meet Greg!
----------

Let’s start by learning a little bit more about our latest Star: just last spring, Greg finished his undergrad in computer science at [WPI](https://www.wpi.edu/) and started contributing to Meilisearch at the end of 2022.  
He actually got introduced to Computer Science all the way back in 5th grade. That’s 10 years old for all non-Americans out there! And that’s all thanks to him stumbling across [Scratch, the famous MIT website](https://scratch.mit.edu/). It was love at first sight and Greg has been passionate about programming ever since.

But he didn’t stop there!

> “In middle school, I self-taught Python, C++, and Java by reading some books and by coding up some miscellaneous side projects. I've dabbled in many languages and projects over the years, but have finally picked up Rust after hearing so many good things about it (and the hype is there for a reason!)”

Truly a young prodigy! And that’s not even half of it, for the past two summers, Greg has been interning at Amazon under the Alexa project, focusing on internal tooling, creating products for internal consumption across the organisation. Not much more can be shared on this matter of course due to his NDA, but this sure looks like high profile work.

A serendipitous discovery
-------------------------

With all this experience and knowledge under his belt, we couldn’t help but wonder how he’d discovered Meilisearch. And why change a successful method? Just as with Scratch, Greg confesses he simply stumbled upon Meilisearch:  

> “I was looking for a full text search engine to embed in a Flutter library and was going to settle on TypeSense. TypeSense wasn’t exactly what I wanted though, and eventually I found Meilisearch through one of TypeSense’s comparison pages in their docs. I realized Meilisearch was perfect for my use case, especially since I saw it was written in Rust and I wanted to pick up Rust at the time.”

We really got lucky to have caught his attention! We wondered what had convinced him to give Meilisearch a try as opposed to TypeSense, and Greg shared two main reasons:  

> “1. Persistence on disk. Since I was embedding it, having persistence across application open/close was pretty important  
> 2.The license. Meilisearch is licensed under MIT, whereas TypeSense is GPL. GPL is pretty restrictive, so I try to stay away from it whenever possible”

Our curiosity got the best of us once again, and we couldn’t help being nosey by asking which features of Meilisearch he preferred, and which one could do with a bit more work:  

> “My favorite aspect is how well everything is architected—it’s super easy to embed Meilisearch in other Rust applications and only grab the features you need. Of course, the typo tolerance and relevance that are builtin/require zero configuration are probably my favorite aspects of the product! As far as what I’d like to see, I’d love to have the engine auto-update/have compatibility across versions. Currently, you need to make dumps between versions, but it’d be very nice for that process to be automated (and some work is being done toward that end, like updating how Settings are stored internally)”

A lot of food for thought for all, which we’re very grateful for since hearing our users’ feedback is the best way for us to stay relevant and truly offer you all the best possible search experience.

And what of Greg's personal projects?
-------------------------------------

  
Seeing Greg’s impressive experience despite his young age, we asked whether he’s had the chance to use Meilisearch in a professional context or for a personal project:  

> “I’ve used/embedded Meilisearch to create [Mimir](https://github.com/GregoryConrad/mimir), which is a Flutter library that gives developers an on-device NoSQL database with typo-tolerant & relevant full text search. I originally created Mimir with an application of my own in mind, but I’ve since put that application on hold. Now I just work on Mimir and contribute back to Meilisearch as a hobby project, since I enjoy working on both! The Meilisearch team is really welcoming and nice, which is a great change when compared to other open source projects. Really easy to land your first contribution!”

Go give [Mimir](https://github.com/GregoryConrad/mimir) some love if you have the chance! And we’re very touched to hear Greg’s first experience with us was a positive one, that’s definitely something we aim for!

Embedding Meilisearch to Mimir was actually how Greg first noticed that there were some points of improvement he could contribute to in order to make Meilisearch better! His [first contributions](https://github.com/meilisearch/milli/pull/706) were actually created as a way to solve the issues he ran into when embedding Meilisearch to Mimir! That PR was even featured in one of our release blog posts. Clearly, Greg and Meili were a match made in heaven.

A big thank you to Greg for his time and his answers, we were delighted to be able to spend a moment with him!

Gregory Conrad: POV of a raising young star

  
Hello, have you met Paul?
----------------------------

Today and for the third time, we’re very happy to share another one of our Meilistars interviews! The Meilistars are some of our top contributors, they all have a plethora of experience they kindly agree to share with us.

The Meilistar we’d like to shine our spotlight on in this article is Paul Sanders, or [sanders41](https://github.com/sanders41), as you may know him on GitHub! Paul has worked in various positions throughout his tech career, for instance he was a data manager as well as a software engineer.

Aside from that, Paul also enjoys spending his free time working on open-source software, both as a maintainer and contributor, which is how he got involved with Meilisearch.  
  
We were curious to know whether someone had mentioned the project to him or if he discovered us by himself:

> “I stumbled upon it. I believe it was Twitter where I saw it mentioned and it sounded like an interesting project. Looking through the repo on GitHub I saw some open issues that I knew how to fix and have been contributing ever since.”

We’re grateful he found his way to Meilisearch! We then wondered on the reasons that motivated him to keep on contributing all this time:  

> “The way Meilisearch does open source makes it a great project to contribute to, regardless of the repo. With a lot of other open source projects it's not unusual to have PRs sit for weeks before getting any review, then there are several weeks between each review. I've even had PRs sit for almost two years before getting reviewed on some projects. With Meilisearch the team is good about getting reviews done and seems to really appreciate the help. After contributing for so long the team there know me and I know them which also makes new contributions easier.”  

Upon first discovering us, Paul felt like Meilisearch and Elasticsearch were quite similar but that Meilisearch was easier to set up and maintain, which was interesting to him then.  
  
When asked about how Meilisearch today holds up in comparison to Meilisearch at the time, Paul shares:

> “The biggest difference I see from when I first found Meilisearch to now is all the work that has gone into indexing. Work done on indexing speed and batching of jobs have been big improvements. One difference that I haven't used myself, but I see a lot of talk about and seems to be a popular addition is the addition of geo search.”

We were delighted to hear his positive feedback, and we wondered if there was anything he’d noticed could be improved upon:

> “One thing that would be nice is some kind of configuration file for the settings. This is especially true for development when you are frequently starting fresh. What I have done for this so far is created a startup script that runs and updates the settings, but it would be nice to have a configuration file to do this.”

We’re very grateful for his feedback since Paul is such an experienced contributor.

A career in tech
----------------

Indeed, on top of contributing to Meilisearch on the regular, he worked, up until recently, for his former’s company’s open source [Fides projects](https://github.com/ethyca/fides). Fides is an open-source privacy engineering platform made to manage the fulfillment of data privacy requests and the enforcement of privacy regulations in code. And that’s without mentioning his personal projects:

> “ From my own projects the one that Meilisearch people may find interesting is Meilisearch [Python Async.](https://github.com/sanders41/meilisearch-python-async) As the name implies it is an SDK like Meilisearch Python, but for code bases using asyncio.”

  
During his time contributing to Meilisearch, Paul mentions he hasn’t had the chance to talk much with his fellow contributors outside of PRs. However, he would be keen to change that! Especially for anyone looking for a mentor:

> “Most of my time these days is spent in Python so if there is anyone that wants to get started with Meilisearch using Python, or contributing to the Python SDK and has any questions they can reach out to me and I'd be happy to help.”

With his extensive experience, we are sure he can provide valuable insights and guidance, so don't hesitate to reach out to him.  
  
Knowing that Paul works in tech, we wondered whether or not he’s had the chance to use Meilisearch in a professional environment:

> “I was building a system at a previous job where I was using Meilisearch, but ended up moving to a new job at a different company before it was finished. The idea in that system was in clinical trials there is a lot of free text data, audit trails and communications being a few examples. Because this was free text there was traditionally no good way to search this data (typos, misspellings, etc.) so people just had to know that the data existed and where to find it. With typo tolerance in Meilisearch I finally had a way to do it.”

  
And on his free time?
------------------------

Aside from his work, Paul also tells us a bit more about the way he uses Meilisearch for a pet project of his.

> “I am currently working on a personal project where I plan to use Meilisearch. My sister is a school teacher and she has been having me help her with some tracking data the school systems have to do on students. They are currently using Google Sheets to do this, and there are multiple issues with this in my view. For one it just wasn't made to do what they are trying to do, and for two each student is his/her own file so there is no way to search across students. How far this one goes depends on how interested the school system is in solving their pain point.”

As a final thought, Paul also shares with us an alternate way to look at Meilisearch:

>   
> “ I feel like a lot of times Meilisearch only gets looked at for it's ability to search through millions of records because that is impressive and has the "wow factor". I think there is a potential to bring a lot of value in using Meilisearch for much smaller datasets also. Manually searching through even hundreds of records is not something people are going to do, and with Meilisearch being so easy to setup I think this is a missed opportunity for people in these situations. ”

  
We’d like to extend a warm thank you to Paul for his time and candor during this interview. Don’t hesitate to check out more of our Meilistars interviews and the future ones as well!

Meilisearch latest news and company updates

Vishal Sodani: POV of a Hacktoberfest contributor

Miiton: a master of Japanese has entered the fight!

Gregory Conrad: POV of a raising young star

Paul Sanders: an open-source veteran among the Meilistars