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Dolphin: Digital SAT Test Prep

Dolphin: Digital SAT Test Prep

PaloAI Inc.

Education免费v1.1.4
App Store
评分

4.8

589 条评分

星级

★★★★★

最近更新

2026年5月5日

发布日期

2025年8月5日

更新内容

v1.1.4

Hey pod, we are excited to introduce Dolphin Party! Invite your friends to the Dolphin Party to finally decide who the SAT master is. Dolphin Party is a brand new learning game that allows you to hone in your speed and accuracy for module 1. Have fun!

应用信息

开发者
PaloAI Inc.
分类
Education
价格
免费
版本
1.1.4
App ID
6748280981

简介

Dolphin: The Smarter Way to Master the Digital SAT. Stop drowning in endless menus and boring dashboards. Dolphin makes SAT prep feel like your favorite social feed. Open the app, start swiping, and watch your score climb. SWIPE TO LEARN Master 10,000+ official Digital SAT questions in a fast, scrollable feed. There is no pressure and no planning. You just focus on progress one swipe at a time. CLEAR VIDEO SOLUTIONS Never get stuck on a hard problem again. Every single question features a high-quality video explanation that breaks down complex concepts in under 60 seconds. It's like having a private tutor available whenever you need one. YOUR PERSONALIZED FYP Dolphin’s algorithm learns your weak spots in real time. The app uses built-in spaced repetition to know exactly when to resurface a topic. This ensures you actually retain what you have learned without having to plan your own study sessions. WHY STUDENTS CHOOSE DOLPHIN • 10,000+ Questions: Full coverage of Digital SAT Math and Reading & Writing. • Instant Video Explainers: Clear and concise solutions for every single problem. • Adaptive Tech: Our system targets your weak spots automatically. • Frictionless Design: Perfect for studying on the bus, in line, or before bed. Whether you are aiming for a 1600 or just starting your prep journey, Dolphin gives you the structure you need without the stress. Turn screen time into progress. Download Dolphin today.

下载量预测

专业 · 预览

预估总下载量

44K29K84K
保守估计乐观估计

3K

低 / 月

5K

预估 / 月

9K

高 / 月

基于589 条评分
假设评分率1.4%
应用年龄9 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。