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# ![@dipesshhhh Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1695308360198066176.png) @dipesshhhh whosensei

whosensei posts on X about token, javascript, $ai4, js the most. They currently have XXX followers and XX posts still getting attention that total XX engagements in the last XX hours.

### Engagements: XX [#](/creator/twitter::1695308360198066176/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1695308360198066176/c:line/m:interactions.svg)

- X Week XXX -XX%
- X Months XXXXX +17,313%

### Mentions: X [#](/creator/twitter::1695308360198066176/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1695308360198066176/c:line/m:posts_active.svg)


### Followers: XXX [#](/creator/twitter::1695308360198066176/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1695308360198066176/c:line/m:followers.svg)

- X Week XXX +32%
- X Months XXX +84%

### CreatorRank: undefined [#](/creator/twitter::1695308360198066176/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1695308360198066176/c:line/m:influencer_rank.svg)

### Social Influence [#](/creator/twitter::1695308360198066176/influence)
---

**Social category influence**
[technology brands](/list/technology-brands) 

**Social topic influence**
[token](/topic/token), [javascript](/topic/javascript), [$ai4](/topic/$ai4), [js](/topic/js), [artificial](/topic/artificial), [python](/topic/python), [okta](/topic/okta), [compact](/topic/compact), [robust](/topic/robust), [signature](/topic/signature)

**Top assets mentioned**
[Artificial Intelligence (AI4)](/topic/$ai4)
### Top Social Posts [#](/creator/twitter::1695308360198066176/posts)
---
Top posts by engagements in the last XX hours

"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


"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


"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


"The Signature Problem: Establishing Trust (2/5) : When your API server receives a JWT it faces a critical question: "How do I know this token is legitimate and wasn't faked by an attacker" The only way to be sure is to verify the signature. To do this your API needs the corresponding public key for the private key that was used to sign the token. The core challenge is : how does your API get this public key securely and just as importantly how does it stay updated if the key changes Manually copying keys into config files is brittle insecure and an operational nightmare"  
[X Link](https://x.com/dipesshhhh/status/1979621109063438514) [@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 Avatar @dipesshhhh whosensei

whosensei posts on X about token, javascript, $ai4, js the most. They currently have XXX followers and XX posts still getting attention that total XX engagements in the last XX hours.

Engagements: XX #

Engagements Line Chart

  • X Week XXX -XX%
  • X Months XXXXX +17,313%

Mentions: X #

Mentions Line Chart

Followers: XXX #

Followers Line Chart

  • X Week XXX +32%
  • X Months XXX +84%

CreatorRank: undefined #

CreatorRank Line Chart

Social Influence #


Social category influence technology brands

Social topic influence token, javascript, $ai4, js, artificial, python, okta, compact, robust, signature

Top assets mentioned Artificial Intelligence (AI4)

Top Social Posts #


Top posts by engagements in the last XX hours

"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

"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

"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

"The Signature Problem: Establishing Trust (2/5) : When your API server receives a JWT it faces a critical question: "How do I know this token is legitimate and wasn't faked by an attacker" The only way to be sure is to verify the signature. To do this your API needs the corresponding public key for the private key that was used to sign the token. The core challenge is : how does your API get this public key securely and just as importantly how does it stay updated if the key changes Manually copying keys into config files is brittle insecure and an operational nightmare"
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

@dipesshhhh
/creator/twitter::dipesshhhh