Products

Leapai

Mastering neural networks in an intuitive, natural, and cohesive manner!

leapai.top Source★ 13 App StoreEducation / Coding Education

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Free
No monthly subscription pricing
Creators
Jerry
No social account linked
Launched
2y ago
2024-06-14 · Est.

Traffic

Monthly visitsData through Sep 2026 · Oct 2026 pending

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Product HuntLaunch

    Intuitive, natural, cohesive tutorial for neural networks

    Jun 14, 2024 · 2y agoLaunch page

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-04-10
GitHub Stars
★ 13
Forks
2
License
See repository
Primary language
—

Store data

App Store
Neural Network
Neural Network App Storev4.20.34+
大胜 纪EducationDeveloper Tools· 9 languages
Updated 19mo ago
Rating
★ 4.70141 ratings
New ratings last mo
—
Price & IAP
FreeIAP data not synced
First released
2020-09-0354 MB
Rating Distribution (1★–5★)5★ 86% · 1★ 4%
5
86%
4
6%
3
4%
2
0%
1
4%
Store Screenshots (10)
Latest Release Notes (v4.20.3)

bugs fix

Learning and using neural networks in an intuitive and natural way! Intuitive and interactive tutorials. A large number of charts and interactive components are used to make learning more intuitive. Visualized Neural Network Lab. Open the black box of neural networks with simplified datasets and full visualization, gain more intuition. Learning with mission like gaming. In the missions, you will run into many key concepts in neural networks, complete the challenges and acquire a deep understanding. Put neural network lab in your pocket. Variety of datasets: 2D and 3D datasets both with regression and classification. Get the dataset just with a tapping. Do experiments at anytime anywhere. Good visualized neural network knowledges. Key concepts and dynamics are showed with charts and animations. Activations, regularizations, loss functions, classifications, Embedding, CNN1d, CNN2d, RNN and more to come. Visualized Deep Learning Models. Learn the most classic models in an intuitive way that has never been seen before, and quickly master cutting-edge technology. Through modular diagrams, understand how data changes from input to output and how it changes at each step. There are detailed documents for each module, and even reference papers, source codes and animations. Visual neural network model editor. Quickly build a model by dragging your fingers. What you see is what you get: Through real-time calculation and display of the output of each step, the construction of the model has never been so intuitive and efficient; real-time display of various errors, including parameters/input types and value compatibility, etc., abandoning inefficient debugging. MORE FEATURES COMING!!!

Store assets, rating histograms, install tiers, and screenshots are synced from Apple App Store, Google Play, and Chrome Web Store.

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct36%
  • Organic Search21%
  • Display Ads14%
  • Referrals11%
  • Other18%

Countries

  • United Kingdom100%

Search

Domain authority 21Domain registered 2023-02-23

KeywordMonthly volume
活性化関数750
função de ativação softplus370

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2024-06-14

Key pages

Weekly snapshots

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does Leapai get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Leapai and what platforms does it support?
Leapai is catalogued under Coding Education: Mastering neural networks in an intuitive, natural, and cohesive manner!. Supported platforms: Mobile App.
Is Leapai open source?
Leapai has a public repository (https://github.com/jerryjee120/Neural-Network) with its source repository published, recording 13 GitHub stars.Source

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