nowfound

Life & fun · August 31, 2023

iPhone Data Recovery Software

Recover Deleted/Lost Data from you iPhone/iPad/iPod devices.

iPhone Data Recovery Software launched on August 31, 2023 with 1 votes. The site was still online in September 2026, 3 years on.

What it does

Retrieving data from all iPhone/iPad/iPod devices. Recover a range of content, including photos, videos, music, notes, messages, call logs, and more. This software provides a fast and reliable solution for iOS devices.

Recover Deleted/Lost Data from you iPhone/iPad/iPod devices

Retrieve lost or deleted iOS data effortlessly. The software features three distinct recovery modes, giving users multiple options to scan their device or backup files. With just a few clicks, you can select the desired mode, choose specific items to retrieve, and quickly restore them. This tool enables you to retrieve data from any iOS device without relying on backup files. It supports data recovery for a wide range of all iPhone devices including iPhone 15/15 pro/15 pro max/iPad/iPod Devices. You can recover lost data and files from your iPhone by accessing your iTunes backup. Preview the backup files beforehand to ensure they are the correct ones before extracting them effortlessly to…from idatapp.com

Does a similar job

all alternatives →

More life & fun 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