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Welcome to our next Bloom chat session. Today we'll have an exciting armor session. We will speak about our analytics work in Bloom and then I will share with you some exclusive uh research about our users about trading launch times about trading volumes. What categories of uh tokens are much popular and what categories have like most uh trading volumes in our meme. We've had a lot going on at Bloom lately. So before we jump into the conversation with our guest, let me give you a quick update. First, we've got two huge trading competitions running now. First one is the hash trading clash.
You need to trade hash token using the bloom trading bot or mead as you wish and you can win up to $1,000 USDT in tone. Just one trade of more than 50 USDT makes you eligible and it runs from April 16 to April 25. And uh the second event there is the doc price hunt and over 150 million docs tokens are up for grabs. So trade docs or invite friends, top referers and top traders will take the biggest share and uh this campaign runs from April 11 to April 23rd.
So make sure to participate and uh win amazing prizes in different tokens. Feel free to enjoy. Another update is our drop game. TG edition is now live. So you will get double bloom points for every letter and the bombs or freezes are staying in place. So grab those rewards while you can. TJ is coming this spring so expect more updates very soon. The next update is that we've been nominating for the blockchain life awards 2025. So this is uh worldwide and uh Bloom is in the running for the best trading app and best gamefy app and our co-founder and CMO Vladimir is up for influencer of the year and the most popular YouTube channel. We'd love to hear from your support. Please go vote and help us win these things. You can check our latest publications in social media with all the links call to action. So yeah, please support Bloom as much as you can. Please welcome Sergey, our PM analyst at Bloom. He is the one making sure our data systems are smart, scalable, and helping the whole team make better decisions.
Can I tell everyone a bit about what you exactly do at Bloom? I work on analytics and product research side. My job is to help different teams at BL product marketing community make smart decision based on data. We check how the platform is used, how different features perform and how users behave. I also work closely with engineers to make sure our analytics system are running smoothly. Let's talk about analytics in broader sense. At Bloom is clearly more than just numbers on a dashboard. How do you see the role of analytics in shaping the product and overall business? Analytics is actually a core part of how we build things. It help us test products ideas objectively not just based on gut feelings. We track the entire products life cycle and deliver realtime data to the people who need it most. That's way everyone working with the same picture and can move faster. It's not just internal metrics. Then you guys are also looking at what's going on outside.
Right. Exactly. We try to monitor trends across the crypto market and keep an eye are doing. We also share some of our key data publicly like trading volumes, active users, number of operations through the meme pad and the trading bud. So partners can see our growth for themselves. For instance, in February, we generated 70% of of trading volume in tone network. That was a huge in the tone ecosystem. Overall, we have been the first mini app by user count for while now. Before that, we were the second after the crypto hamster. I know analytics also helps with bugs and performance issues, right? Absolutely. Sometimes data help us spot problems before users even report them. We can see when something is off, like a spike of in errors or a sudden drop in activity and trace it back to a back. For example, we often use data to find out how many users were affected by an issue and that help us make the smart decisions about what to fix and how fast.
It's not just about building cool features. It's also about protecting the user experience every day. Can you take us back to the early days of the analytics setup at Bloom? It was a bit a mess at first. We started small with the several databases like posgress, click house, MongoDB and CB all used for different things by different teams. But for analytics that set up was a nightmare. You can't just write one query and get your answer. You had to write several small queries to different databases and then combine the results manually by script. It was slow and frustrating. You start fixing that. Our first step was running in Trina, a tool that helps run SQL queries across multiple databases. It was a good start, but it had its own issues.
Trina actually send queries to each databases behind the scene and when these databases are already under the load, the queries often fail. We had to run them multiple times just to get result. It was far from ideal. What's this? When scaling became a serious challenge. As user numbers and operations grow, our application databases were overloaded just handling regular activity. There was no room left for analytics queries. It was getting harder and harder to support the needs of the business. That's when we realized we need a real solution, not just a patch. That's when data bricks entered the picture. Yes, in the fall we started integrating data bricks. It's a powerful platform design and large scale data work.
It took a lot of time and effort. We had to learn it from the scratch, test everything and build new pipelines. But by March, we had a solid setup on analyics engine. What let us answer the business questions quickly and reliably. What changed in your team's dayto-day work after that? We were finally able to move away from struggle with the tools and spend more time working on task.
These tools data bricks and tableau there are the best in the industry. Even top tier web free projects use them. They are not just powerful, they're also cost effective too. With this numbers of of the users what we have now, our analytics costs have dropped by at least three times while reliability and speed have gone way up. access to the data is stable and predictable now and that's a big win for everyone in our company. Let's maybe talk about something that's on everyday everyone's radar these days AI. What's your take on it from the perspective of an analyst? It's a hot topic.
Personally, I see AI as an assistant, not a competitor. When I work with AI models, it feels like it I managed a team of employers just with their own set of works. I'm not worried about uh being replaced. Instead, I think it expands what we are capable of and help us move faster, especially with routine task. Right now, we're mostly using GPT models to generate simple SQL queries and scripts like pulling or processing public data. It saves time and help us avoid repetitive work. But when it comes to complex and creative problems, AI still struggles.
Those part need human input, experience and thinking. And what about data privacy? I know that's always a concern when AI is involved. That's really important for us. We never send internal data to AI users. We only use it for writing code or working with the public information. For example, something like token data. Everything sensitive stay inside in our own infrastructure and never share it with anyone. So maybe let's talk about users now.
You've been doing a lot of research into how people actually use Bloom. What are some interesting things you've discovered? Well, one thing we noticed is how much referral traffic drives engagement. Users who come in through invites tend to be more active and loyal. Also, leaderboards have had a big impact. People really like seeing their names on ranking. It motivates them to engage more. And overall we see that mobile uh usage keeps growing which supports our decision to invest in the mobile application. And also I want to share with you some slides what I prepared for today. What we have today for this call. So I made information like collect the information about rates by user hour about token creation buys and sales about token count by creation hour and um inapp application activity tokens count and trading volumes by token categories.
So let's start from trades by hour after token creation. this information. Uh that's interesting information because we can see here what the most trades by tokens it's starts like have so the most trades by tokens are from the most trades are in 72 hours after the tokens creates and this time the less and less trades are in our mead and yeah if we're talking about Tra is the peak is on the first 70 or two hours and after that it's go to the plate and if we're talking about trading volumes it's also work working like this and the most of trading volumes made in 72 hours after the token starts.
I made a research about buys and sells operations and I grouped them by local day hours. So it's the time when that's the local time of the user. the most users they the peak of trading of buy operations it's about 10 p.m. and it starts from 10:00 a.m. And if we are talking about mounts people make more trading operations around 8 to 10 p.m. But the most big trading volumes the amount of these operations that's the peak of them around 6 or 7 p.m. you know when when the the people are located in different places around the world and the time zones are different and that's why when we talk about local day hours that's like that's hour of like local time of user if I trade in meat that's that's the time in my like watches our users uh create more tokens around 10 p.m.
I think after the work you come to your home, you open the beard and you create new meme coin. That's the best time I think to launch your meme coin and also if we we're looking on these graphics like buy and sells the most people buy around 3 3 p.m. UTC time. I think it's best time to create your meme coin. So what conclusion we can make from this information? But for fun memes, memes and community tokens are the most successful tokens in our platform. So if you have a community and you want to make a meme coins, you absolutely should do this. I think uh based on this information, some active bloom users can think when exactly it's better to launch memecoin. Yeah. Which parameters are better by statistics can be really useful for our community, right? You're welcome, guys. So use it information about your new meme coins. How do you figure out what needs fixing or improving? Uh we try to stay ahead of problems.
Every time we launch a new feature, we watch the numbers closely. How many users use it, where they get stuck, how long they stay. We also gather feedback from the support team and community team. Once something fills up, low adoption, high drop off, we go back to the data and figure out why. It's a cycle of testing, analyzing, and adjusting. Let's shift to something our community loves at drops. So, I know your team plays a big role behind the scenes. Can you walk us through what goes into preparing one? The analytics team is usually involved in two main things. Validating data and building user list. Basically, we make sure only the right wallets get rewards and that no one's trying to cheat the system. Yeah, that's really important because there are many cyles and uh because of them rewards can be smaller. When we used Trina, it was a huge pain. If we need to make a drop list with complex condition like filtering by activity volume or timing it could take weeks really big. So like I may research and I launch the script what's the merge different information from different databases for the request and it's like calculation it should be finished in five weeks so we don't have much time but now with our new setup things uh have changed completely we can generate gen generate even the most complex job list in just a few minutes seriously let's talk about something that's really super important Cybles, I know you and your team have been working hard to detect them.
Before we launch TG, we want to make sure we are rewarding the real community, not bots, scripts, or users users trying to game our system. If we don't handle that, it kills motivation for those who play fair. And that's something we are really seriously. One idea we're also working on is giving out badges, small but meaningful markers of what people actually do in Blum. Not just you make one trade badges but for things like consistent participation feedback. We want this to be fun and valuable. We want to recognize those who go the extra mile and give them something a bit more memorable. How do you actually spot cyballs? We have a few ways.
Most of time it goes down to behavior patterns stuff that a normal user just want to do. For example, accounts acting at the exact same time or doing hundreds of operations with zero interaction. It's often easy to see once you look at the data. A lot of users uh call the script what makes the games or claim daily activity but they they don't even open the application. We can separate the people who open the application and not yeah we b the people who only use API but not open the application and don't click anywhere. So I've heard people say things like the whole app is just bots. Is it true? Honestly, I used to think the same when I join, but after digging into the numbers, it's not what the people think. The real share of cybells is around 20 or 30%, not 60 or 70 like some some people I assume. Sure, it's still something we need to clean up, but most of our users are real people.
How has analytics impacted Bloom's recent changes? We're working on TG list right now and we making research about the minimum criteria to be in the TG drop list. I think it's one of the like biggest recent changes in our in the project. Also, we are working on a lot of some bugs and we're looking for like user count what was affected. I think it's also we make it two or three times per week.
Will there be any contests in the near future and should we expect the 5,000 USDT raffle back? We have been going uh contests and in the beginning of our stream we reminded about active campaigns. We have two of them and of course we usually and regularly create uh some new campaigns for different type of audience. Yeah. to motivate and uh have some rewards for our aactive users who are using bloom trading services and so on. Also our blog where we can publish all the necessary articles about all the campaigns and all the details and these are come on regular basics. Should we expect an update on TG anytime soon? As we mentioned before, we plan our TG very soon. So just follow our socials and uh I think you had an update just in our call. Don't tell no one but we have pages for you. Special like uh tokens drop will be for these bad receivers. It's need to understand that the exact list date will depends on many factors and of course we have huge work to prepare to make the grade or airdrop.
So we need to prepare airdrop checker integrated in application. We already shared our minimal requirements and minimum airrop criteria and pages as well are coming which can be multipliers or additional reward for your airdrop and bloom tokens. We are working really hard to release it as soon as we can. This is recorded. It's a live we can do crazy stuff here and it's it's not record. Yeah, exactly. But uh just for addition, we also publishing each bloom chat with time codes each week in our YouTube channel and as well we share about four most interesting highlights in a short format in our social media.
This is live but also you can share the recording with all your friends or just to maybe dive deeper into what was discussed with time codes all for your comfort. When will the bloom estimate be listed and what will be the price supply? We will share information about the exact listing date. When will we give you estimate dates and talk about all the process and you can see step by step how we prepare this really big scale airdrop.
When we will uh define all the agreements with exchanges with some different other things we will post the exact listing date. I think we already shared the estimation what the TGE will be in the end of April or or this start of the March or not March May we told that this spring for now we stick to this information we will share the updates one by one by by the next steps how big is the data team how many people in the analytics team there are three people in the analytics team me as a like lead and manager and data engineer in our team architecture of our solutions also. Yeah. And we have two colleagues to my colleagues Tigree and India. Hello guys. Yeah. They shares the responsibility in our team. We are working together trying to help each other to solve the
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