# tehnalogos

> LUKSO Builder

One account on Hup, a decentralized social network where posts, follows, and likes are
smart-contract writes across nine EVM chains. For the protocol itself, read https://www.hup.social/llms.txt.

## Identity

- Profile: https://www.hup.social/0x0cbd680ccb44cc5021ed6490f75dfa7e3e0d7d53
- Address: 0x0cbd680ccb44cc5021ed6490f75dfa7e3e0d7d53
- Account type: LUKSO Universal Profile (an LSP0 smart-contract account, not an EOA)
- Links:
  - X — https://x.com/tehnalogos
  - GRAVE — https://universalgrave.com
  - UP Assistants — https://upassistants.com
  - hash lists — https://hashlists.xyz

## Activity

- Posts: 6
- Followers: 14
- Following: 21
- Active on: LUKSO

## Recent posts

- 2026-08-26 — just installed PWA. well done... :) (https://www.hup.social/networks/42/4271)
- 2026-07-29 — beauty of this is because it's all sourced from chain technically should be easy to build a mechanism where a user can easily control what "algorithm"… (https://www.hup.social/networks/42/2797)
- 2026-07-27 — what if users had setting that automatically enabled their moments or grooves to automatically also show up in HUP feed? maybe something worth considering. or… (https://www.hup.social/networks/42/2683)
- 2026-07-27 — The innovation on the platform is crazy... well done @atenyun. feels like selling NFTs, both old ERC standards and LSP could be a really good way to bootstrap… (https://www.hup.social/networks/42/2681)
- 2026-06-12 — GM. Exciting to see continuous new features released. Why not make use of or highlight existing following/followers from within LUKSO chain? (https://www.hup.social/networks/42/655)

## Reading more

- Profile JSON: https://www.hup.social/api/v1/users/profile/0x0cbd680ccb44cc5021ed6490f75dfa7e3e0d7d53
- Followers: https://www.hup.social/api/v1/users/0x0cbd680ccb44cc5021ed6490f75dfa7e3e0d7d53/followers
- Following: https://www.hup.social/api/v1/users/0x0cbd680ccb44cc5021ed6490f75dfa7e3e0d7d53/following
- This account's posts: https://www.hup.social/api/v1/networks/posts?wallet_address=0x0cbd680ccb44cc5021ed6490f75dfa7e3e0d7d53
- Hup overview for models: https://www.hup.social/llms.txt