Analytics and growth mindset ️

Analytics and growth mindset ️

Public

Can't Join? @thinkbroadly

0

7.1k Members

Updated: May 25, 2026 at 2:14 PM

Analytics and growth mindset ️

🔥 Free data analytics courses with certificates, hot internships and jobs - everything that needed data analyst. Contact me to buy ads: [email protected] Promote and monetize your Telegram Channel effectively: https://tghero.pro/telegram

@thinkbroadly offers specialized information about analytics and internships for subscribers interested in Courses & Learning

Ranking

Global Ranking

#44919

-2631

Language Ranking

#6582

-149

Category Ranking

#664

-16

Participant Growth (Last 30 Days)

Total: 7.1K

24h growth: -41 1%

Loading posts...

Rating

Login required

Loading reviews...

Loading recommended channels...

Latest Posts

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

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

Video Thumbnail

4,260

14

0

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

📷 Photo

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. https://www.ycombinator.com/companies/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. https://www.ycombinator.com/companies/code-four — AI for police. It turns camera footage into reports and summaries in seconds.

3. https://www.ycombinator.com/companies/labric — Makes messy lab data clean and clear. It connects and organizes information from lab instruments to help scientists make discoveries faster.

3. https://www.ycombinator.com/companies/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. https://www.ycombinator.com/companies/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. https://www.ycombinator.com/companies/operand — AI that looks at your business data (prices, ads, inventory, competitors) and suggests strategies to boost profits.

( https://www.ycombinator.com/companies/industry/analytics)

(Y Combinator startups are also hiring — you can check out open positions https://www.ycombinator.com/jobs)

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, https://www.ibm.com/think/topics/ai-agents-vs-ai-assistants 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 🔥!

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

pinned a photo

0

0

0

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

🔺 If you’re doing a lot but not seeing results, here’s what helps me: instead of trying everything at once, I look for the one main thing that’s blocking progress — and focus only on fixing that. This gives the biggest impact.

Here are 2 common situations when people feel stuck:

✔You don’t know what to focus on — so nothing works

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.

✔You focus on what’s comfortable — not on what’s important

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🔺 begins when you find and remove the main obstacle — not when you do everything or stick to what’s familiar.

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 https://t.me/t_tutorialis 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⭐.

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

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. https://julius.ai/?via=aimarketplace — 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. https://developers.google.com/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. https://ahrefs.com/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. https://mida.so/?ref=mariie92 — 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. https://www.similarweb.com/ — 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. https://www.semrush.com/ — 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. https://www.postgresql.org/ — 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. https://tghero.pro/analyzer/?utm_source=telegram&utm_medium=social&utm_campaign=tools_post&utm_content=english_channel&utm_term=8_tools_list — 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. https://tghero.pro/analyzer/?utm_source=telegram&utm_medium=social&utm_campaign=tools_post&utm_content=english_channel&utm_term=8_tools_list here to get notified.

If posts like this are helpful, tap 🔥!

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

📷 Photo

🏄‍♀️ How I Got Sick from the Ocean Again — and What Data Analytics Has to Do With It

1. Fever, nausea, diarrhea — this happens to me every time after surfing during the rainy season. Why? Because everything flows into the ocean — from garbage to, well… 💩.

2. In the North Pacific Ocean, halfway between Hawaii and California, 100,000 tons of plastic waste are spinning in a vortex. Welcome to the Great Pacific Garbage Patch — an area three times the size of France. It looks as bad as it sounds: like a giant plastic soup.

These are just two examples that show: ocean pollution is a global crisis, not just a local issue. Will we soon be afraid to even enter the ocean?

➡️ Every year, 19–23 million tons of plastic end up in oceans, rivers, and lakes — like throwing 2,000 garbage trucks into water every minute ( https://www.unep.org/plastic-pollution).

➡️ Around 170 trillion plastic particles float on the surface of oceans — and there may be 10,000 times more on the sea floor ( https://www.genevaenvironmentnetwork.org/resources/updates/plastic-pollution-around-the-world).

➡️ 100 million marine animals die each year because of ocean waste. Even plants that produce 70% of our oxygen are affected ( https://www.condorferries.co.uk/marine-ocean-pollution-statistics-facts).

➡️ A study found microplastics in 99% of seafood samples, raising concerns about how this could harm our digestive system, hormones, and more ( https://earth.org/scientists-find-microplastics-in-99-of-seafood-samples).


So how does data analytics help?

There are nonprofits and companies fighting pollution. One of them is https://theoceancleanup.com/ from the Netherlands. They clean the oceans using smart tech — and data is at the core of their work.

1. Finding the sources of pollution — to stop it early

🔔 80% of plastic in the ocean comes from just ~1,000 rivers.

To find these “pollution arteries,” Ocean Cleanup uses:

— Satellite images
— Hydrology maps
— Population and infrastructure data
— Models of how trash moves in water

This helps stop plastic before it reaches the ocean, by intercepting it in rivers.

2. Predicting where trash will go — to clean smarter

They use:

— Cameras on bridges to detect trash in rivers
— GPS buoys and radar to track its journey
— AI models to forecast when and where trash will gather in "garbage hotspots"

Thanks to that, they can launch cleanups in the right place and at the right time for maximum impact.

3. Data visualization that hits you emotionally

Numbers matter — but visuals make people feel the problem. They build dashboards that:

— Show where the ocean is "choking" on plastic
— Make the issue clear and relatable
— Help influence politicians and donors

🔗 https://ourworldindata.org/plastic-pollution?insight=around-05-of-plastic-waste-ends-up-in-the-ocean#key-insights
🔗 https://theoceancleanup.com/sources/
🔗 https://theoceancleanup.com/dashboard/#

4. Machine learning and future forecasts

To prevent, not just react, they train models to answer:

— What will happen if we keep polluting at the same rate?
— What if we cut plastic by just 20%?
— Where will new plastic hotspots appear in 5 years?

Career opportunities

The Ocean Cleanup hires data analysts and interns. For example:

— https://www.jobteaser.com/en/job-offers/3250eea4-9856-4dd6-9f01-9c81d94a5d70-the-ocean-cleanup-internship-data-quality-and-modelling
— https://theoceancleanup.com/careers/jobs/computer-vision-and-time-series-analysis-internship/

Or become a citizen scientist by tracking plastic with these apps:

— https://theoceancleanup.com/research/citizen-science/
— https://debristracker.org/

Other useful resources

1. https://theoceancleanup.com/podcasts/data-driven-whats-the-pattern/
2. https://www.gooddatainstitute.com/post/combating-ocean-plastic-the-role-of-data-analytics
3. https://www.london.edu/think/winning-the-race-for-cleaner-oceans-with-analytics
4. https://blog.dataiku.com/solving-the-ocean-plastic-pollution-problem-with-data
5. Data sets for your own projects: https://www.marinedatascience.co/data/and https://www.ncei.noaa.gov/products/microplastics
6. Watch the documentary: https://dai.ly/x9d78ws


If this post was helpful, I’d be really grateful for your support 🔥.

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

📷 Photo

You Can Grow or Stay Stuck: It All Depends on Your Mindset

Check Yourself:

– Does your mindset hold you back?
– Do you try to look smarter than you are?
– Do you avoid difficult tasks to not seem "incompetent"?
– Do you believe success is all about talent, not effort?
– Do you think working harder means you're less talented?

If you said yes to these, you might have a fixed mindset. It leads to fear of mistakes, avoiding challenges, and in the end, frustration.

If you believe that skills grow through effort, experiments, and persistence, and that mistakes are a chance to improve, then you have a growth mindset. This helps you develop new skills, bounce back from failures, and achieve your goals.

This idea comes from https://profiles.stanford.edu/carol-dweck, a psychology professor at Stanford and the author of Mindset: The New Psychology of Success. Research by Jason S. Moser also https://pubmed.ncbi.nlm.nih.gov/22042726/ this.

Example: A Data Analyst’s Mindset

❌ Fixed mindset:
– "I don’t know Python, so I’ll never become a great analyst."
– "I don’t get interesting tasks, so I can’t grow."

✅ Growth mindset:
– "How can I start using Python in my work?"
– "How can I find interesting challenges myself?"

My Personal Example

Right now, I’m developing an analytics service for Telegram channels, and I have two choices: stay stuck in a fixed mindset or choose a growth mindset.

❌ Fixed mindset:
– "I’m not a developer, so I can’t create a SaaS."
– "If I had a technical co-founder, things would be much easier."

✅ Growth mindset:
– "How can I test my idea in the simplest way possible?"
– "How can I learn the necessary skills while building the product?"

I see this pattern all the time in my private https://tghero.pro/community/ for Telegram channel owners. The ones who test, analyze, and adapt quickly always get the best results—not those who wait for the perfect strategy.

This same logic applies to relationships, sports, and business. Every time I see this in action, I’m reminded: growth is a process, not luck. The ones who take action are always ahead.

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

How They Hold You Back Without You Noticing: The Crab Mentality 🦀

Let’s talk about crab mentality—a sneaky and often invisible force that holds people back.

What is the crab mentality?

When people see you trying something new or succeeding, instead of supporting you, they criticize, mock, or devalue your efforts. Their goal? To stop you from moving forward so that you don’t outgrow them. Why? Jealousy and fear.

This metaphor comes from crabs in a bucket—when one crab tries to escape, others pull it back down. In the end, none of them get out.

Real-life examples:

1. Tech industry veterans telling beginners: “The market is oversaturated,” “Without five years of struggle, you’ll get nowhere.” Sometimes, this is a way to keep competition away.

2. People afraid to move abroad discouraging others: “No one needs you there,” “You’ll regret it,” “You’re betraying us.”

3. If you work hard on your career or business: “Money isn’t everything. When will you actually live?” “You’re like a robot—always working.” “You’re too ambitious and independent—men don’t like that” (for women).

4. If you start a blog or a YouTube channel: “Who cares about this?” “Blogging isn’t a real job. Real jobs are in factories or hospitals.”

5. If you finish a big project and share your achievement: “I could do that in an hour.” “What’s so special about it?”

6. Older generations to younger ones: “We worked for peanuts in the ’90s, and you want high salaries, remote work, and work-life balance? You’re asking for too much!”

7. General discouragement: “Are you sure you need this?” “Do you think you’re better than us?” “Business is risky.” “You’re too young/too old.”

Over time, these comments become part of your own thoughts, filling you with doubt. And even without people saying anything, you might start believing them.

So, what’s the solution?

Avoiding negative people is the obvious answer (self-help books always mention the importance of your environment). But it's not always that simple:

1. It’s not always obvious.
— If someone respected says “You shouldn’t move until you learn the language,” you might start doubting yourself (“They’re an expert, they must be right.”).
— The smarter the person, the more convincing their arguments. They’ll hit you with 500 facts, calculations, and logic.

2. In some cultures and communities, standing out is risky. Being like everyone else is the norm, and anything different is seen as a threat. Even if times have changed, this mindset still lingers.

3. People don’t always mean harm.
Often, they’re just projecting their own fears and doubts. But the effect is the same—it holds you back.

My rules to fight it:

1. Awareness is the first step. Recognize these manipulations—including your own self-doubt. Journaling or talking to a psychologist can help you see things clearly. Remember, other people’s words often reflect their own fears, not reality.

2. Surround yourself with the right people. Limit contact with those who bring you down, and find those who support you.

3. Explore other cultures. Living abroad or learning about different mindsets helps you see things from a new perspective. You start realizing what’s not normal and develop immunity to societal pressure.

4. Follow your own path. Only you know what’s right for you. Listen to advice, but don’t let others control your life. Get stuck in their opinions—and you’ll stay in the bucket.

If you like posts like this, let me know!🔥

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

📷 Photo

10 Free Data and Programming Games to Practice Your Skills and Have Fun: Part 2

Learning through games has become a trend in recent years and is used not only for kids but also for adults. Games make the learning process more enjoyable, helping to keep your attention and motivation high.

1. SQL Squid Game

An SQL game inspired by the popular Netflix series Squid Game. You have to complete a series of SQL challenges to survive in a virtual competition. Thanks to my subscriber Roman for recommending this!

Completely free.

https://datalemur.com/sql-game

2. SQL Police Department

In this game, you are a detective solving crimes using SQL queries. You’ll analyze police department databases to crack different cases.

Completely free.

https://sqlpd.com/

3. Kusto Detective Agency

You’re a rookie at a detective agency, solving mysterious cases by analyzing data with SQL.

Completely free.

https://detective.kusto.io/

4. CodeCombat

A game where you learn programming by exploring dungeons and fighting enemies using Python code as spells.

First levels are free, but a subscription is needed for full access.

https://codecombat.com/play

5. CheckiO – Python

A browser-based adventure game where you need to write Python code to solve different tasks.

The game is free to play, but there’s also a paid subscription for extra features.

https://checkio.org/ru/

6. CodinGame – Python

Puzzle and strategy games where you can learn to code in more than 25 languages, including Python.
Great for both beginners and experienced programmers. There are coding challenges and competitions with other developers.

Completely free.

https://www.codingame.com/start/

7. Codewars

Instead of typical games, here you solve tasks called kata – coding puzzles where you find solutions to problems. You can compete with others by solving tasks faster and better.

The game is free to play, but there’s also a paid subscription for extra features.

https://www.codewars.com/

8. Data Games

A series of games that help you build data science skills, including decision-making and forecasting.
Short videos guide you on how to use data and charts to create winning strategies.

Completely free.

http://ccssgames.com/

9. DataStar

A game fully built inside a PostgreSQL database, simulating an economy with trading, mining, and upgrading ships. Players explore the universe, collect, and analyze data using SQL. Downside: You’ll need to set it up on your own system to play😃.

Completely free.

https://gitlab.com/leifhka/datastar

10. Scratch

A project from MIT designed to teach kids and beginners logic and coding basics. You can create stories, games, and animations using visual blocks.

Completely free.

https://scratch.mit.edu/

If you know any other cool data games, drop them in the comments, and I’ll add them in the next part! 🩵

Analytics and growth mindset ️

Apr 23, 2026, 10:40 AM

How does a Telegram channel help a data analyst in personal and professional growth?

I now manage several Telegram channels, so I can share my personal experience:

1. You get noticed:

— A journalist from The New York Times found me through my channels and my project, http://tghero.pro/telegram. He asked me many questions about Telegram business, and it resulted in .
— Universities invited me to collaborate on a video, and about 10 companies invited me to co-host webinars.
— Recruiters and project managers also reached out with job offers after seeing my content. They were interested in my knowledge and approach.

2. Your channel can become a source of income.
Thanks to my channels, I can work remotely from anywhere I want. You can earn money by promoting others' products, offering your services (like analytics), or taking advantage of the opportunities mentioned in point 1, which often lead to increased income.

3. Networking becomes easier.
I don’t like traditional networking—it’s always been hard for me to talk about myself or introduce myself in person. But having a channel makes it much easier: sharing a link to your channel says so much more about you than words. People see your content, your approach, and it builds trust and respect.

4. It teaches you to express yourself and overcome fears.
When I first started, I was scared to write and share my thoughts. But over time, posting regularly helped me overcome those fears. I’ve noticed that many others face the same problem—they are afraid to express themselves, share their thoughts, or present themselves, and this fear holds them back from fully benefiting from their blog.

These are just some of the most obvious benefits, but there are many more. For example, Alex successfully https://t.me/aleksisworking his product thanks to his channel and blogs (I consulted him earlier).

Sometimes I look at my subscribers and see that many have their own small channels. They’ve been running them for months, or even years, but there’s no growth.

I’ve been in that situation too😅. My first Telegram channel, which I started in 2019, didn’t grow at all. Back then, I thought that just writing content was enough for subscribers to find me. But of course, that didn’t happen (no surprise there🤯). My motivation slowly faded, and eventually, I gave up on the channel. I only started again in 2022 when I created this channel.

Over the past three years, I’ve developed my own http://tghero.pro/telegram, which includes proven free and paid promotion methods, monetization strategies, and content creation approaches. These tools have helped me grow my channels and avoid the mistakes I made earlier.

If you want your Telegram channel to grow, here are two key things to focus on:

1. Content value.
Valuable content improves your subscribers’ lives. For example, it can help them find a better job, switch careers, earn more money, overcome fears, or simply entertain them. Valuable content is shared more often, and channels with real value grow faster. Check your analytics to see what gets the most shares and likes, and create more of that type of content.

2. Promotion.
Relying on organic growth is a mistake (it’s weak on Telegram). Experiment with different methods—both free and paid—analyze what works best, and double down on it.

Showing 10 of 10 posts

No more posts