Grinding LeetCode teaches you to pattern-match memorized solutions, not to actually see how algorithms work. TraceCode is different, you step through real code, watch state change live, and do drills that make you predict what happens next. Fewer problems, deeper understanding, better interviews.
I built TraceCode because I'm a visual learner. I'd grind LeetCode and my eyes would glaze over solutions I didn't actually understand, I was basically pattern-matching, not learning. One of those nights, I pasted an algorithm into Claude and asked it to help me visualize what was happening, some weird DP recurrence, and it clicked instantly. I thought, "what if this existed for every problem?"
That became TraceCode. I soft-launched on LinkedIn two months ago, and today I'm releasing TraceCode 2, the next evolution of that original idea. TraceCode 2 comes with a complete redesign, a full rewrite of the engine that powers the traces, sharper visualizations, a much more accurate guided mode, and Java support (finally).
If you've ever felt like you were grinding LeetCode without getting smarter, I'd love for you to try it and tell me whether the traces actually help.
About TraceCode on Product Hunt
“Learn algorithms by watching them run”
TraceCode launched on Product Hunt on April 28th, 2026 and earned 73 upvotes and 1 comments, placing #44 on the daily leaderboard. Grinding LeetCode teaches you to pattern-match memorized solutions, not to actually see how algorithms work. TraceCode is different, you step through real code, watch state change live, and do drills that make you predict what happens next. Fewer problems, deeper understanding, better interviews.
On the analytics side, TraceCode competes within Education, Software Engineering, Developer Tools and GitHub — topics that collectively have 673.8k followers on Product Hunt. The dashboard above tracks how TraceCode performed against the three products that launched closest to it on the same day.
Who hunted TraceCode?
TraceCode was hunted by Obinna Nwachukwu. 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 TraceCode including community comment highlights and product details, visit the product overview.
Obinna Nwachukwu
Hey PH! 👋
I built TraceCode because I'm a visual learner. I'd grind LeetCode and my eyes would glaze over solutions I didn't actually understand, I was basically pattern-matching, not learning. One of those nights, I pasted an algorithm into Claude and asked it to help me visualize what was happening, some weird DP recurrence, and it clicked instantly. I thought, "what if this existed for every problem?"
That became TraceCode. I soft-launched on LinkedIn two months ago, and today I'm releasing TraceCode 2, the next evolution of that original idea. TraceCode 2 comes with a complete redesign, a full rewrite of the engine that powers the traces, sharper visualizations, a much more accurate guided mode, and Java support (finally).
If you've ever felt like you were grinding LeetCode without getting smarter, I'd love for you to try it and tell me whether the traces actually help.