New 'LeetCode for ML' waitlist opens
A new platform pitching 'LeetCode for ML' launched a waitlist this week, promising hands‑on ML problems tailored to interview prep—potentially useful for ML‑engineer interview practice announced. The tool matches the growing emphasis on algorithmic and systems fluency for ML roles.
An X account @aster_dev_ posted a waitlist announcement (tweet id 2032545359986307489) for a new "LeetCode for ML" platform this week, according to the linked X post. x.com The X announcement described the product as a hands‑on problem set aimed at ML interview practice with emphasis on algorithmic and systems fluency, per the same X post. x.com Direct competitors already position similar offerings: TensorTonic advertises implementing 200+ algorithms from scratch and public leaderboards showing thousands of active learners on its site. tensortonic.com Deep‑ML publishes interactive ML problems and labs on deep‑ml.com as another active "LeetCode for ML" alternative in the space. deep-ml.com LeetCode itself maintains an ML problem list and high‑volume mock assessments (LeetCode’s assessment dashboard lists hundreds of thousands of attempts—e.g., 416,310 attempts on one mock assessment), illustrating demand for interview‑style ML practice. leetcode.com Community uptake is already measurable: multiple GitHub repositories host solution sets for TensorTonic problems, with some repos showing 100+ commits, reflecting developers archiving practice work. github.com The waitlist post does not list a public launch date or pricing in its initial message (post id 2032545359986307489), and the X post links to a signup for early access as the primary next step. x.com
