8 Analytics Tools I Actually Use Every Day
I started out as a data analyst, and now I’m an entrepreneur. But one thing hasn’t changed — I make decisions based on data, not gut feelings.
Here are the main tools I use almost daily:
1. Julius AI — AI Assistant for Data Analysis
— Great for all kinds of data analytics (including marketing, finance), data science, and scientific research.
— Supports different data formats, including PostgreSQL
— Uses several AI models to get better answers
— Gives more accurate results than ChatGPT’s built-in data analysis
I use it for quick daily analysis and visualization.
Free limited access.
2. Google Analytics — Web Analytics Classic
A basic but powerful tool.
I use it to see where my website traffic comes from, who my audience is, and how users move through my funnel.
Free.
3. Ahrefs Web Analytics — Google Analytics Alternative
Fast, easy-to-use live website analytics.
Not as many features as GA, but very convenient.
I use it daily to double-check stats.
Free.
4. Mida — Run Tests in 10 Minutes
— Helps you run simple A/B tests without coding.
— Easy to set up with a tracking pixel
— Works with GA, Amplitude, Mixpanel
— Doesn’t slow down your site
— ISO 27001 certified — they take data security seriously
I use it to test landing page text, buttons, and structure.
Free limited access.
5. Similarweb — Competitor Analysis
Helps me see where competitors get traffic from, which channels work best, and details like geography and audience demographics.
Free limited access.
The paid version offers more in-depth traffic data and market research tools. I’m thinking about getting it.
6. Semrush — SEO & Competitor Research
Some features overlap with Similarweb.
I mainly use it for SEO analysis. Planning to try its social media tools soon.
Free limited access.
7. PostgreSQL — The Backbone of My Projects
A reliable, scalable database system.
I use it to store all project data. It’s a top choice for Django (my main backend framework).
Free.
8. Channel Analyzer — My Tool for Telegram Channels
Analyzes any Telegram channel and gives useful, data-based insights:
— How to improve monetization
— Where your content needs work
— How to grow faster and smarter
Right now I only use it internally, but early access is coming soon. Sign up here to get notified.
If posts like this are helpful, tap 🔥!
I started out as a data analyst, and now I’m an entrepreneur. But one thing hasn’t changed — I make decisions based on data, not gut feelings.
Here are the main tools I use almost daily:
1. Julius AI — AI Assistant for Data Analysis
— Great for all kinds of data analytics (including marketing, finance), data science, and scientific research.
— Supports different data formats, including PostgreSQL
— Uses several AI models to get better answers
— Gives more accurate results than ChatGPT’s built-in data analysis
I use it for quick daily analysis and visualization.
Free limited access.
2. Google Analytics — Web Analytics Classic
A basic but powerful tool.
I use it to see where my website traffic comes from, who my audience is, and how users move through my funnel.
Free.
3. Ahrefs Web Analytics — Google Analytics Alternative
Fast, easy-to-use live website analytics.
Not as many features as GA, but very convenient.
I use it daily to double-check stats.
Free.
4. Mida — Run Tests in 10 Minutes
— Helps you run simple A/B tests without coding.
— Easy to set up with a tracking pixel
— Works with GA, Amplitude, Mixpanel
— Doesn’t slow down your site
— ISO 27001 certified — they take data security seriously
I use it to test landing page text, buttons, and structure.
Free limited access.
5. Similarweb — Competitor Analysis
Helps me see where competitors get traffic from, which channels work best, and details like geography and audience demographics.
Free limited access.
The paid version offers more in-depth traffic data and market research tools. I’m thinking about getting it.
6. Semrush — SEO & Competitor Research
Some features overlap with Similarweb.
I mainly use it for SEO analysis. Planning to try its social media tools soon.
Free limited access.
7. PostgreSQL — The Backbone of My Projects
A reliable, scalable database system.
I use it to store all project data. It’s a top choice for Django (my main backend framework).
Free.
8. Channel Analyzer — My Tool for Telegram Channels
Analyzes any Telegram channel and gives useful, data-based insights:
— How to improve monetization
— Where your content needs work
— How to grow faster and smarter
Right now I only use it internally, but early access is coming soon. Sign up here to get notified.
If posts like this are helpful, tap 🔥!
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Here are 2 common situations when people feel stuck:
Example: beginners in analytics looking for a job often feel lost. Thoughts jump around: "Should I learn another tool? Maybe I just need more experience?" This panic leads to even more confusion.
But if you calmly break things down, you often find the real issue: their resume is weak (as an example). No replies because it’s too general. Once the resume clearly shows value — people start getting interviews.
Example: beginner entrepreneurs with a background in coding or analytics struggle to make sales. The real reason: no one is visiting their website (as an example).
Instead of doing marketing to get their first 1,000 users, developers keep improving the product, and analysts keep polishing data tracking. But if no one sees the product, none of that matters.
Progress
This idea comes from the book The Goal by Eliyahu Goldratt. The main character, Alex, has 90 days to save his factory. A mentor teaches him to look for the biggest constraint and remove it first. Even though the book is about manufacturing, the principle works in any area.
Main point: In any system, there’s one bottleneck that limits results. It can be internal (like a process or team) or external (like the market or resources). Until you remove that one thing — other efforts don’t really help.
Recently, I noticed that my project is bringing some results — but not the ones I was aiming for. I’ve raised my goals lately, but I’m still not reaching them. So, I decided to apply this theory.
What I did:
1. I set aside time to deeply analyze my data. The numbers suggested the problem was in the product or how it’s presented — but not everything is clear from data alone.
2. I explained the situation in detail to ChatGPT — my doubts, what’s going on, and shared the data. I asked it to help me find the main constraint using this theory.
3. ChatGPT gave a few ideas. After a couple of follow-up questions, I found the main issue.
3. Now I’m focused on fixing that one thing.
4. After it’s solved, I’ll move to the next bottleneck — which is also part of the theory.
How is this different from just setting priorities?
Priority lists are often based on feelings. The Theory of Constraints gives you clear focus — where to act for the biggest effect.
Of course, it’s not perfect. But it works well when:
— You have limited resources — which is almost always (time, money, attention)
— You need fast results
— Your project or team isn’t performing, even though “everything is being done”
No theory is magic — but this one helps you see your situation in a new way
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100 Top Analytics Startups Backed by Y Combinator
Y Combinator, one of the most famous and respected startup accelerators, has updated its list of analytics startups.
In addition to well-known companies like Amplitude and Mixpanel, the list now includes new players.
Here are a few standout analytics startups funded in 2025:
1. Daxa — AI that tracks how users interact with your product. It helps you spot problems before users quit and recommends features to improve conversion.
2. Code Four — AI for police. It turns camera footage into reports and summaries in seconds.
3. Labric — Makes messy lab data clean and clear. It connects and organizes information from lab instruments to help scientists make discoveries faster.
3. nao Labs — Like Cursor, but for data teams. It understands your data, connects to storage, and writes working code automatically (according to their promo).
4. Artificial Societies — AI that simulates how groups of people behave. You can test how your audience (like investors or LinkedIn followers) might react to your ad, post, or product before you launch it.
5. Operand — AI that looks at your business data (prices, ads, inventory, competitors) and suggests strategies to boost profits.
(Full list of 100 startups)
(Y Combinator startups are also hiring — you can check out open positions here)
What are the trends?
2022–2023 startups: Mostly focused on improving traditional analytics tools.
2024 startups: Trend toward AI assistants — tools that help analysts but still require the user to give instructions.
These tools focus on making analytics easier (e.g., helping with SQL, Pandas, Jupyter).
2025 startups: Trend toward autonomous AI agents, not just assistants.
These agents don’t wait for your input. You launch them once, and they keep analyzing, spotting issues, and suggesting actions on their own.
(If you want to understand the difference between AI assistants and agents, here’s a clear article)
Extra takeaways:
1. Just because a startup is funded by Y Combinator doesn’t mean the product is fully ready. Many of them are still raw or questionable if you test them now.
2. AI isn’t replacing analysts. Instead, it shifts the focus — from boring tasks (like SQL and basic reports) to more strategic and creative work.
If you liked this format, hit the 🔥!
Y Combinator, one of the most famous and respected startup accelerators, has updated its list of analytics startups.
In addition to well-known companies like Amplitude and Mixpanel, the list now includes new players.
Here are a few standout analytics startups funded in 2025:
1. Daxa — AI that tracks how users interact with your product. It helps you spot problems before users quit and recommends features to improve conversion.
2. Code Four — AI for police. It turns camera footage into reports and summaries in seconds.
3. Labric — Makes messy lab data clean and clear. It connects and organizes information from lab instruments to help scientists make discoveries faster.
3. nao Labs — Like Cursor, but for data teams. It understands your data, connects to storage, and writes working code automatically (according to their promo).
4. Artificial Societies — AI that simulates how groups of people behave. You can test how your audience (like investors or LinkedIn followers) might react to your ad, post, or product before you launch it.
5. Operand — AI that looks at your business data (prices, ads, inventory, competitors) and suggests strategies to boost profits.
(Full list of 100 startups)
(Y Combinator startups are also hiring — you can check out open positions here)
What are the trends?
2022–2023 startups: Mostly focused on improving traditional analytics tools.
2024 startups: Trend toward AI assistants — tools that help analysts but still require the user to give instructions.
These tools focus on making analytics easier (e.g., helping with SQL, Pandas, Jupyter).
2025 startups: Trend toward autonomous AI agents, not just assistants.
These agents don’t wait for your input. You launch them once, and they keep analyzing, spotting issues, and suggesting actions on their own.
(If you want to understand the difference between AI assistants and agents, here’s a clear article)
Extra takeaways:
1. Just because a startup is funded by Y Combinator doesn’t mean the product is fully ready. Many of them are still raw or questionable if you test them now.
2. AI isn’t replacing analysts. Instead, it shifts the focus — from boring tasks (like SQL and basic reports) to more strategic and creative work.
If you liked this format, hit the 🔥!
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I went on a 4,000 km motorbike trip across Thailand in 19 days 🇹🇭 — and here’s what I learned …
I visited dozens of Thai cities (Ranong, Hua Hin, Samut Songkhram, Bangkok, Chiang Mai, and more), met people, and immersed myself in the culture. This journey changed me — my outlook on life and even my approach to work.
Want to see what the real Thailand looks like?
Watch my new video 👇
https://youtu.be/rIIfckTvkZs
I visited dozens of Thai cities (Ranong, Hua Hin, Samut Songkhram, Bangkok, Chiang Mai, and more), met people, and immersed myself in the culture. This journey changed me — my outlook on life and even my approach to work.
Want to see what the real Thailand looks like?
Watch my new video 👇
https://youtu.be/rIIfckTvkZs
YouTube
Thailand 19-Day Adventure Road Trip: Exploring the Real Thailand
Join me on a 19-day road trip across Thailand — a true motorcycle adventure through rain, temples, street food, and hidden villages. Together, we’ll discover the real Thailand beyond the tourist spots.
Read an article about this trip https://walking.tra…
Read an article about this trip https://walking.tra…
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Where to live and work remotely?
One of my favorite places for remote work and life is Bangkok 🇹🇭 — and here’s why:
1. Affordable apartments with great conditions. Long-term rent is around $250–$600, depending on the area and size.
2. Delicious local food. A big meal costs $2–$3.
3. Great weather. It’s always warm, but not as hot as Phuket — it feels like a warm September.
4. A big multicultural community of digital nomads, entrepreneurs, and freelancers. Thai, Japanese, Chinese, European, Indian — everyone speaks English.
5. A city of contrasts. More than 200 modern skyscrapers with the vibe of “old Asia” — street food stalls, tuk-tuks, temples.
6. Amazing service. You can find anything you need.
I spent a month in Bangkok and a few days at True Digital Park — one of the biggest tech and startup hubs in Southeast Asia.
True Digital Park is basically a city inside a city with the concept WORK – LIVE – PLAY – LEARN:
— Coworking spaces — both paid and free
— Game zones where you can relax
— A free 540-meter sky track on the upper level
— Multi-level green areas with lots of gardens
— A Digital & AI Research Center with robots
— Offices of Google, Huawei, 7-Eleven, and more
— And many other things
If you want to feel the Asian digital atmosphere, I made a full video tour of True Digital Park on my YouTube channel.
And if you like posts about places to live and work remotely — hit the 🔥!
One of my favorite places for remote work and life is Bangkok 🇹🇭 — and here’s why:
1. Affordable apartments with great conditions. Long-term rent is around $250–$600, depending on the area and size.
2. Delicious local food. A big meal costs $2–$3.
3. Great weather. It’s always warm, but not as hot as Phuket — it feels like a warm September.
4. A big multicultural community of digital nomads, entrepreneurs, and freelancers. Thai, Japanese, Chinese, European, Indian — everyone speaks English.
5. A city of contrasts. More than 200 modern skyscrapers with the vibe of “old Asia” — street food stalls, tuk-tuks, temples.
6. Amazing service. You can find anything you need.
I spent a month in Bangkok and a few days at True Digital Park — one of the biggest tech and startup hubs in Southeast Asia.
True Digital Park is basically a city inside a city with the concept WORK – LIVE – PLAY – LEARN:
— Coworking spaces — both paid and free
— Game zones where you can relax
— A free 540-meter sky track on the upper level
— Multi-level green areas with lots of gardens
— A Digital & AI Research Center with robots
— Offices of Google, Huawei, 7-Eleven, and more
— And many other things
If you want to feel the Asian digital atmosphere, I made a full video tour of True Digital Park on my YouTube channel.
And if you like posts about places to live and work remotely — hit the 🔥!
🔥10❤4👍3