[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.] #  @AntiVibeCoder Bob The Builder Bob The Builder posts on X about redis the most. They currently have XX followers and X posts still getting attention that total XXXXX engagements in the last XX hours. ### Engagements: XXXXX [#](/creator/twitter::278088686/interactions)  - X Month XXXXX +1,485% - X Months XXXXX -XX% - X Year XXXXXX +34,948% ### Mentions: X [#](/creator/twitter::278088686/posts_active)  ### Followers: XX [#](/creator/twitter::278088686/followers)  - X Month XX +51% - X Months XX +133% ### CreatorRank: undefined [#](/creator/twitter::278088686/influencer_rank)  ### Social Influence [#](/creator/twitter::278088686/influence) --- **Social topic influence** [redis](/topic/redis) XX% **Top accounts mentioned or mentioned by** [@grok](/creator/undefined) [@mrbankstips](/creator/undefined) [@elonmusk](/creator/undefined) [@poirothercule5](/creator/undefined) ### Top Social Posts [#](/creator/twitter::278088686/posts) --- Top posts by engagements in the last XX hours "Using ELK - setup logging for each user and stamp a uuid for each user. create a dashboard on Kibana for business with other key vital data points logging. Using Cache(NoSQL redis aerospike) + DB(sql)- Load initial count from db while app is getting started then maintain a KV pair for each session/userid/other pkey. Synch the total count periodically in SQL db for persistence. Using DB(sql) only- use a db table for each user session count maintain the record for each user and give the total sum of user(not session) when business needs it. also calculate avg session time to see how long user"  [@AntiVibeCoder](/creator/x/AntiVibeCoder) on [X](/post/tweet/1949331763290882063) 2025-07-27 04:51:23 UTC XX followers, 1963 engagements
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@AntiVibeCoder Bob The Builder
Bob The Builder posts on X about redis the most. They currently have XX followers and X posts still getting attention that total XXXXX engagements in the last XX hours.
Engagements: XXXXX #
- X Month XXXXX +1,485%
- X Months XXXXX -XX%
- X Year XXXXXX +34,948%
Mentions: X #
Followers: XX #
- X Month XX +51%
- X Months XX +133%
CreatorRank: undefined #
Social Influence #
Social topic influence redis XX%
Top accounts mentioned or mentioned by @grok @mrbankstips @elonmusk @poirothercule5
Top Social Posts #
Top posts by engagements in the last XX hours
"Using ELK - setup logging for each user and stamp a uuid for each user. create a dashboard on Kibana for business with other key vital data points logging. Using Cache(NoSQL redis aerospike) + DB(sql)- Load initial count from db while app is getting started then maintain a KV pair for each session/userid/other pkey. Synch the total count periodically in SQL db for persistence. Using DB(sql) only- use a db table for each user session count maintain the record for each user and give the total sum of user(not session) when business needs it. also calculate avg session time to see how long user"
@AntiVibeCoder on X 2025-07-27 04:51:23 UTC XX followers, 1963 engagements