[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @milanlajtos mlajtos.mu mlajtos.mu posts on X about the most. They currently have XXX followers and XXX posts still getting attention that total X engagements in the last XX hours. ### Engagements: X [#](/creator/twitter::1647765276962816000/interactions)  - X Week XXXXX +5,398% - X Month XXXXX +1,880% - X Months XXXXX -XX% - X Year XXXXX -XX% ### Mentions: X [#](/creator/twitter::1647765276962816000/posts_active)  ### Followers: XXX [#](/creator/twitter::1647765276962816000/followers)  - X Week XXX +2.40% - X Month XXX +8.40% - X Months XXX +33% - X Year XXX +60% ### CreatorRank: undefined [#](/creator/twitter::1647765276962816000/influencer_rank)  ### Social Influence [#](/creator/twitter::1647765276962816000/influence) --- ### Top Social Posts [#](/creator/twitter::1647765276962816000/posts) --- Top posts by engagements in the last XX hours "@maccaw The gradient trick in HRM is excellent. How do we get gradient of thousands of layers We approximate it by first layer only. Boom solved"  [@milanlajtos](/creator/x/milanlajtos) on [X](/post/tweet/1949018560271188439) 2025-07-26 08:06:50 UTC XXX followers, 2567 engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
mlajtos.mu posts on X about the most. They currently have XXX followers and XXX posts still getting attention that total X engagements in the last XX hours.
Top posts by engagements in the last XX hours
"@maccaw The gradient trick in HRM is excellent. How do we get gradient of thousands of layers We approximate it by first layer only. Boom solved" @milanlajtos on X 2025-07-26 08:06:50 UTC XXX followers, 2567 engagements
/creator/x::milanlajtos