Key Facts
- ✓ Solved more than 1000 problems on LeetCode
- ✓ The process took place over two years
- ✓ An estimated 2000+ hours were spent on the task
- ✓ The author describes it as a detailed and honest journey, not a success story
Quick Summary
A developer has documented a significant personal achievement involving the coding practice platform LeetCode. Over a span of two years, the individual solved more than 1000 algorithmic problems. This required an estimated 2000 hours of dedicated time and effort.
The author emphasizes that this accomplishment is not a world record or a reason for boasting. Instead, it serves as a concrete metric to illustrate the sheer volume of work involved. The narrative aims to provide a transparent and honest perspective on the journey, moving beyond simple success stories to reveal the reality of the process.
A Journey of Persistence Over Two Years
The undertaking involved solving over a thousand problems on the LeetCode platform. This was not a short-term sprint but a long-term commitment spanning two years. The author notes that the journey was filled with personal challenges and learning experiences.
While the final numbers are significant, the focus is on the process itself. The author spent more than 2000 hours on this single pursuit. This figure is presented as a way to understand the scope of the dedication required, rather than as a competitive benchmark.
"This is not a record and not a reason for pride. This is just a fact that sets the scale of the work done."
— Author
The Reality of the Process
The narrative is explicitly not a guide on how to learn algorithms quickly. It is also described as being different from a standard success story. The author wanted to share a detailed and honest account of their experience.
The journey was not a straight line to success. It included periods of:
- Self-doubt and uncertainty
- Making mistakes and learning from them
- Experiencing setbacks and regressions
- Observing gradual, hard-won progress
This approach provides a more realistic view of what such a large-scale learning project entails.
Setting the Scale of the Work
The core motivation for sharing this story was to provide context for the effort involved. The author states that the numbers—1000+ problems and 2000+ hours—are simply facts that help define the magnitude of the undertaking. It is a personal benchmark, not a goal for others to chase.
By presenting the raw data of the time invested, the author offers a transparent look at what can be achieved with sustained effort over a long period. The story begins with these facts as a foundation for a deeper discussion about the path taken.
Conclusion: A Candid Look at Technical Growth
The article concludes that the journey through over a thousand LeetCode problems was a complex and lengthy one. It was defined by more than just the final count; the experience was shaped by the challenges and learning moments along the way.
Ultimately, the author's goal is to offer a candid perspective on a path many technical professionals consider. By sharing the doubts, errors, and slow progress, the account provides a valuable, realistic alternative to typical success-focused narratives.
"This is not an instruction on 'how to quickly learn algorithms' and not a success story in the spirit of 'did X and now everything works out'."
— Author




