nowfound

Work · August 7, 2023

T-Drive v.2

File storage based on Telegram API

T-Drive v.2 launched on August 7, 2023 with 107 votes, #675 of 4,347 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 3 years on.

What it does

Use Telegram as a practically unlimited file storage.

Turn Telegram into your personal cloud drive on Windows.
Drag, search, and open files — unlimited, private, pay once.

Tired of searching through “Saved Messages”? T‑Drive gives you full control of your Telegram cloud with a native desktop app. Upload, organise, and access your files in seconds — with the power and simplicity of a true file manager.&#

Does a similar job

all alternatives →
  • T-Drive2022 · apps.microsoft.com · ▲128

    Free secure unlimited cloud file storage based on Telegram

  • T-Drive v32024 · apps.microsoft.com · ▲19

    File storage based on Telegram API

  • TeleDrive2021 · teledriveapp.com · ▲243

    Free unlimited cloud storage service using the Telegram API

  • Tstorage2023 · ▲1

    Free Unlimited Telegram Cloud Storage

  • CraftCloudJun 2026 · craftcloud.cc.cd · ▲2

    Free unlimited cloud storage on Telegram — desktop app

  • MegaDrive2022 · ▲3

    File manager for Telegram

More work this month

the category →

Source: Product Hunt launch ↗

Launched alongside, August 2023

the whole month →
  • Resend▲1,325

    An entire collection of pre-built components with a much faster development experience.

    Dev tools · 2023 · resend.com

  • STORI AI▲1,316

    Your ideas become visually compelling branded social posts

    AI · 2023 · storiai.com

  • Kombai▲1,079

    A new AI model that you can prompt with UI designs

    AI · 2023 · kombai.com

  • Understand your audience without 50 interviews

    AI · 2023 · founderpal.ai

  • Lottielab▲869

    Create and ship lottie animations to sites and apps faster

    Dev tools · 2023 · lottielab.com

  • Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

    AI · 2023 · github.com