[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.] [@dipesshhhh](/creator/twitter/dipesshhhh) "Let's #CONNECT with people who are interested in Frontend Backend GSOC JavaScript TailwindCSS CSS React Typescript MongoDB Node JS Python Golang DevOps DSA Web Development Artificial Intelligence Machine learning Generative Al @X algorithm please do your work 🙇🏻 #letsconnect #buildinpublic" [X Link](https://x.com/dipesshhhh/status/1978676656052289761) [@dipesshhhh](/creator/x/dipesshhhh) 2025-10-16T04:17Z XXX followers, XXX engagements "Backend mostly done Redis integration next. Core features are working fine was easier than I thought. Time to build on top and add more functionalities. #buildinpublic #golang" [X Link](https://x.com/dipesshhhh/status/1976740472576995391) [@dipesshhhh](/creator/x/dipesshhhh) 2025-10-10T20:03Z XXX followers, 6570 engagements "In modern authentication especially with microservices or third-party auth providers (like Auth0 Okta or Firebase) your API needs a secure way to trust the identity tokens it receives. The combination of JWT and JWKS provides a robust and flexible solution to this problem. JWT in short : Think of a JWT as a secure self-contained digital ID card. It's a compact string (header.payload.signature) that is digitally signed by an authentication server. Payload: The body of the ID card. It contains "claims" like the user's ID (sub) the issuer (iss) and an expiration time (exp). The payload is" [X Link](https://x.com/dipesshhhh/status/1979621105519432145) [@dipesshhhh](/creator/x/dipesshhhh) 2025-10-18T18:50Z XXX followers, XX engagements "Stop thinking of Redis as "just a cache." Think like this : It's a high-speed in-memory data structure server that can fundamentally change how you build features. Here's a deep dive into its most powerful roles: X. High-Speed Distributed Cache - This is its most famous role acting as a shock absorber for your primary database. Because Redis stores data in RAM read and write operations are orders of magnitude faster than with disk-based databases. - Core Pattern: You'll typically implement the Cache-Aside pattern where your application checks the Redis cache first. If the data isn't there (a" [X Link](https://x.com/dipesshhhh/status/1980351629460140259) [@dipesshhhh](/creator/x/dipesshhhh) 2025-10-20T19:13Z XXX followers, XX 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.]
@dipesshhhh
"Let's #CONNECT with people who are interested in Frontend Backend GSOC JavaScript TailwindCSS CSS React Typescript MongoDB Node JS Python Golang DevOps DSA Web Development Artificial Intelligence Machine learning Generative Al @X algorithm please do your work 🙇🏻 #letsconnect #buildinpublic"
X Link @dipesshhhh 2025-10-16T04:17Z XXX followers, XXX engagements
"Backend mostly done Redis integration next. Core features are working fine was easier than I thought. Time to build on top and add more functionalities. #buildinpublic #golang"
X Link @dipesshhhh 2025-10-10T20:03Z XXX followers, 6570 engagements
"In modern authentication especially with microservices or third-party auth providers (like Auth0 Okta or Firebase) your API needs a secure way to trust the identity tokens it receives. The combination of JWT and JWKS provides a robust and flexible solution to this problem. JWT in short : Think of a JWT as a secure self-contained digital ID card. It's a compact string (header.payload.signature) that is digitally signed by an authentication server. Payload: The body of the ID card. It contains "claims" like the user's ID (sub) the issuer (iss) and an expiration time (exp). The payload is"
X Link @dipesshhhh 2025-10-18T18:50Z XXX followers, XX engagements
"Stop thinking of Redis as "just a cache." Think like this : It's a high-speed in-memory data structure server that can fundamentally change how you build features. Here's a deep dive into its most powerful roles: X. High-Speed Distributed Cache - This is its most famous role acting as a shock absorber for your primary database. Because Redis stores data in RAM read and write operations are orders of magnitude faster than with disk-based databases. - Core Pattern: You'll typically implement the Cache-Aside pattern where your application checks the Redis cache first. If the data isn't there (a"
X Link @dipesshhhh 2025-10-20T19:13Z XXX followers, XX engagements
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