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MakeSense
Learn anything through what you already love
The fastest way to learn something new is to connect it to something you already know. That's the idea behind MakeSense. Choose a topic. Choose your anchor. We generate a structured knowledge tree with parallel explanations connecting one world to another. Upload PDFs, articles, or YouTube videos to make every lesson your own. This is digitalization of my learning method that has helped me a lot as a student. The demo is free. Do check it out!
Over the last year, I won 4 national hackathons and 1 international Google hackathon as a student. Each of them required different fields of knowledge. I also learned a new language during this period while also maintaining a decent GPA. For the first time in my life, I was actually consistent in the gym too, though there is still work left to be done in that department.
I am telling you this because it was only possible thanks to a new learning style I used. Although I have heard bits and pieces, I never seen anyone use the full method.
- The first thing I do before you learn anything is to make a birdeye map of the concept. Focusing heavily on why I are learning what. How it connects to the next topic(rarely anything exists in isolation). Half of my work is already done, by the time I know why I am learning and how much do I need to learn. - The second part is diving into each "island" and memorizing them. For this I often found myself using LLM to connect the topic to fandoms I love(Pokemon). The result was abysmal. Then I started adding tiny systems to improve the result, over the past year. By the time I was done, I had a system that specialized in analogous learning.
This is the exact system I am selling through my app.
Would love to learn about your learning styles...
About MakeSense on Product Hunt
“Learn anything through what you already love”
MakeSense was submitted on Product Hunt and earned 5 upvotes and 3 comments, placing #112 on the daily leaderboard. The fastest way to learn something new is to connect it to something you already know. That's the idea behind MakeSense. Choose a topic. Choose your anchor. We generate a structured knowledge tree with parallel explanations connecting one world to another. Upload PDFs, articles, or YouTube videos to make every lesson your own. This is digitalization of my learning method that has helped me a lot as a student. The demo is free. Do check it out!
On the analytics side, MakeSense competes within Productivity, Education and Online Learning — topics that collectively have 738.6k followers on Product Hunt. The dashboard above tracks how MakeSense performed against the three products that launched closest to it on the same day.
Who hunted MakeSense?
MakeSense was hunted by Arshil. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MakeSense including community comment highlights and product details, visit the product overview.
Arshil
👋 Hey Product Hunt - Arshil here.
Over the last year, I won 4 national hackathons and 1 international Google hackathon as a student. Each of them required different fields of knowledge. I also learned a new language during this period while also maintaining a decent GPA. For the first time in my life, I was actually consistent in the gym too, though there is still work left to be done in that department.
I am telling you this because it was only possible thanks to a new learning style I used. Although I have heard bits and pieces, I never seen anyone use the full method.
- The first thing I do before you learn anything is to make a birdeye map of the concept. Focusing heavily on why I are learning what. How it connects to the next topic(rarely anything exists in isolation). Half of my work is already done, by the time I know why I am learning and how much do I need to learn.
- The second part is diving into each "island" and memorizing them. For this I often found myself using LLM to connect the topic to fandoms I love(Pokemon). The result was abysmal. Then I started adding tiny systems to improve the result, over the past year. By the time I was done, I had a system that specialized in analogous learning.
This is the exact system I am selling through my app.
Would love to learn about your learning styles...