Teepin™

This account is verified because it's an official organization on X. Learn more

@teepin

Enterprise cloud services.
Portable data. Confidential compute.
The freedom to choose where you run.

United States teepin.com Joined January 2023

144 Following 1.3K Followers 263 Posts

Latest posts 5

Pinned post

Teepin™ @teepin Oct 7

Teepin is building on @shelbyserves Private Beta.
We are one of the first projects running real workloads on it.

Learn what we are building on Shelby and how Shelby enabled our business model 👇

Shelby Verified account @shelbyserves Oct 7

Shelby Private Beta is now running real customer workloads.

We're starting with a small group of teams across enterprise AI, spatial intelligence and distributed rendering.

What we learn together will shape what comes next ↓

View quoted post on X

Teepin™ @teepin Oct 14

28.5s, every time, on 1 to 2 GB files. private beta. @shelbyserves built on @Aptos. we're just here enjoying the flat line

Shelby Verified account @shelbyserves Oct 14

Enterprise AI starts with the data no one else has.

@teepin, formerly Flashback Labs, is building around proprietary enterprise data, open-source models and changing compute.

Teepin CTO & Co-Founder Srikanth Alla, previously at Amazon, ran internal tests comparing Shelby with AWS S3 on 1-2 GB files:

“In our internal testing on 1-2 GB files, Shelby’s hot storage was on par with AWS. Typical uploads finished in about 28.5 seconds, and the slowest stayed around 28-30 seconds. On S3, typical uploads were about 25.7 seconds, but the slowest 5% stretched to 32.5 seconds. Shelby’s speeds were surprisingly consistent, despite still being in private beta.”

Early proof that the data layer can keep pace as the rest of the stack changes.

View quoted post on X

Teepin™ @teepin Oct 14

from winning @Aptos Code Collision Hackathon to @shelbyserves x @teepin.
full circle 🫡

Aptos Verified account @Aptos Oct 14

@shelbyserves @teepin Shelby x Teepin 🔥

View quoted post on X

Teepin™ @teepin Oct 9

@Aptos + @shelbyserves = Enterprise Grade De-AI

Aptos Verified account @Aptos Oct 8

Three workloads, three different data and compute patterns.

The first @shelbyserves Private Beta cohort spans enterprise AI (@teepin), spatial intelligence (@PathPulse_AI), and distributed rendering (@pictor_network).

The common thread: data-heavy workloads where the data needs to stay usable as compute changes.

Coordinated on Aptos, now running real workloads.
View quoted post on X

Teepin™ @teepin Oct 1

shelby serves.
we're showing up for the private beta.

Shelby Verified account @shelbyserves Oct 1

Private Beta starts with the workload.

Testnet began with a broad question: can decentralized storage be performant and cost-effective enough for hot data?

What we learned gave us a clearer order of operations.

Performance. Placement. Control. Economics.

Rather than expand the network around assumptions, we're starting with real customer requirements and letting the network model follow.

From Testnet to Private Beta.

View quoted post on X