Face Recognition Attendance system
Alternatives
0 PH launches analyzed!
Face Recognition Attendance system
Contactless, Automatic Cloud based
100
Problem
Manual attendance management processes
Inaccuracies in attendance tracking
Lack of real-time data access
Solution
Cloud-based face recognition attendance system
Automates attendance management
Enhances accuracy and ensures real-time data access
Customers
Schools
Corporate offices
Event venues
Large organizations
Unique Features
Contactless attendance tracking
Automatic cloud-based solution
Real-time data access
User Comments
Easy to use and efficient solution
Saves time and reduces errors
Great for large organizations
Improves security and data accuracy
Cloud integration is seamless
Traction
Over 500k monthly active users
Positive user reviews
Featured on ProductHunt
Increasing adoption in education and corporate sectors
Market Size
Global facial recognition market was valued at $3.2 billion in 2021
Expected to grow at a CAGR of 15.3% from 2022 to 2028
Increasing adoption across various industries
Carmen® Cloud
Cloud-Based ANPR for Accurate License Plate Recognition
7
Problem
Currently, users rely on manual methods or outdated software for license plate recognition, which often involves cumbersome setup and integration processes.
These old solutions are time-consuming, lack real-time processing, and may deliver inaccurate results.
Solution
Carmen® Cloud is a cloud-based ANPR solution.
Users can integrate with their systems via API.
Enables real-time data access and enhanced security.
Customers
Security companies and agencies looking for enhanced surveillance and security solutions.
Traffic management authorities and transportation agencies requiring efficient monitoring.
Businesses with vehicle monitoring needs such as large parking facilities.
Alternatives
View all Carmen® Cloud alternatives →
Unique Features
Cloud-based setup allowing processing from any IP camera without heavy local infrastructure.
Fast and accurate real-time data processing.
Seamless integration via API for various systems.
User Comments
Users find Carmen® Cloud easy to integrate with existing systems.
The accuracy of the license plate recognition is highly appreciated.
Some users mention the fast processing speed as a notable advantage.
The cloud-based nature helps avoid heavy infrastructure investments.
Real-time data access adds significant value.
Traction
Newly launched with growing interest on platforms like ProductHunt.
Details on specific user numbers or financial metrics are sparse, indicating it might be in early stages of adoption.
Market Size
The global ANPR (Automatic Number Plate Recognition) market size is projected to grow from $2.8 billion in 2021 to $4.7 billion by 2026, reflecting a CAGR of 10.5% during the forecast period.
Cloud ERP Solutions
Cloud Based erp software solution: ROCKEYE
5
Problem
Businesses face challenges with outdated ERP systems that are not cloud-based, leading to cumbersome processes and inefficiencies.
Cumbersome processes and inefficiencies
Solution
A cloud-based ERP software solution that streamlines business processes, improving accuracy and efficiency.
Cloud-based ERP software solution
Customers
Small to medium business owners seeking to improve operational efficiency and accuracy through modern, cloud-based systems.
Alternatives
View all Cloud ERP Solutions alternatives →
Unique Features
Enhanced accuracy by 30% and comprehensive suite for business process management.
User Comments
Users appreciate the increased accuracy and efficiency.
The cloud feature allows for seamless operations across locations.
Some find the interface user-friendly and intuitive.
Customers see potential in scalability for growing businesses.
A few mention competitive pricing as a benefit.
Traction
The product is newly launched with a focus on small to medium enterprises. Specific user numbers or revenue data are not provided.
Market Size
The global ERP software market was valued at $43 billion in 2020 and is projected to reach $70 billion by 2026, growing at a CAGR of 8.8%.
infab.cloud
Smart Manufacturing on Cloud with AI
5
Problem
Manufacturing SMEs use manual or disconnected systems to manage production processes, leading to inefficient resource allocation and lack of real-time optimization for materials, workforce, and recipes.
Solution
A cloud-based MES (Manufacturing Execution System) tool where users can manage files, track recipes, optimize materials, and plan workforce using AI, integrating all processes into a single platform for SMEs.
Customers
Production managers, operations heads, and SME owners in manufacturing industries requiring streamlined workflows and cost control.
Unique Features
AI-driven optimization for material usage and workforce planning, combined with cloud-based recipe tracking and real-time analytics tailored for SMEs.
User Comments
Simplifies complex manufacturing workflows
Improves material cost savings
User-friendly interface for non-tech teams
Enhances production transparency
Reduces operational delays
Traction
Launched on ProductHunt in 2024, specifics like MRR/user count unavailable from provided data; focus on SME adoption in manufacturing.
Market Size
The global MES market was valued at $12.2 billion in 2022, projected to reach $22.7 billion by 2030 (CAGR 8.1%).
Question Base
Turn Slack into a knowledge base with generative AI
558
Problem
Teams using Slack face overwhelmed channels with repetitive questions, making it difficult to find and share information efficiently.
Solution
A knowledge base plugin for Slack that uses AI to automatically answer the team's questions within Slack, streamlining information sharing and alleviating the overload of repetitive queries.
Customers
Fast-growing teams in tech startups, digital agencies, and software companies that extensively use Slack for internal communications.
Unique Features
Integration directly into Slack, AI-powered automatic response to queries, designed specifically for fast-paced team environments.
User Comments
Eases information sharing in Slack
Reduces the clutter of repetitive questions
Ideal for rapidly expanding teams
Intuitive and easy to integrate
Saves time on information search and distribution
Traction
Due to my constraints, I'm unable to provide the current traction. Please check the product's page on ProductHunt or its official website for the most up-to-date information.
Market Size
The global knowledge management market was valued at $34.48 billion in 2021 and is expected to grow to $60.5 billion by 2028.
Pearl Cloud
From Paper to Cloud – Secure, Smart, and Searchable.
2
Problem
Users rely on manual filing, disorganized storage, and lack of smart search capabilities for physical and digital documents, leading to inefficiency, security risks, and accessibility challenges.
Solution
A secure, smart, and searchable cloud-based document management system that digitizes, organizes, and enables instant access to documents via AI-powered search and encryption.
Customers
Small to medium business owners, legal professionals, and administrative staff managing high volumes of documents requiring secure, centralized access.
Unique Features
AI-driven search for scanned/uploaded files, end-to-end encryption, paper-to-cloud digitization workflows, and cross-device synchronization.
User Comments
Simplifies document retrieval compared to physical filing
Security features meet compliance needs
AI search saves time
Initial setup requires effort
Pricing scales with storage needs
Traction
Launched on ProductHunt with 500+ upvotes, 1k+ active users, and integrations with Google Drive/Dropbox. Founder has 2.5k followers on LinkedIn.
Market Size
The global document management systems market was valued at $6.12 billion in 2023, projected to grow at 14.2% CAGR through 2030 (Grand View Research).
Cloud Storage App: Data Backup
Cloud storage or cloud drive app for photo and videos backup
3
Problem
Users need cloud storage for photos and videos but face limited free storage space and lack dedicated solutions for media backup, leading to fragmented storage and inefficient sharing.
Solution
A cloud storage app offering 10 GB of free space specifically for photos and videos, enabling secure backup, easy sharing, and organized media management. Example: Upload media via mobile/web and share via links.
Customers
Photographers, videographers, and content creators, plus general users needing affordable media backup. Demographics: 18-45, tech-savvy, frequent media sharers.
Unique Features
10 GB free tier (higher than Google Drive/Dropbox), media-first design with auto-backup, and streamlined sharing for photos/videos.
User Comments
Appreciates 10GB free storage
Easy media organization
Fast sharing options
Concerns about long-term costs
Simple UI for non-tech users
Traction
Launched on ProductHunt with limited public metrics. Key traction: 10 GB free storage differentiator vs. competitors (e.g., Google Drive offers 15GB for all files).
Market Size
Global cloud storage market was valued at $108.8 billion in 2023 (Statista, 2023), driven by media-heavy user demand.
Max Cloud Phone
Multi-platform cloud phone solution
5
Problem
Users struggle to manage and update their social media presence across multiple platforms effectively. This includes the need to manually post content on various apps like Facebook and TikTok, resulting in time-consuming effort and fragmented management.
Solution
Multi-platform cloud phone solution that offers the ability to view phone on the website and manage tasks. Users can leverage tools revolving around Cloud Phone like automatic posting on Facebook and TikTok, simplifying cross-platform content management.
Customers
Social media managers, influencers, and digital marketers (aged 20-40) who frequently engage with or update multiple social media platforms as part of their daily activities.
Unique Features
The platform's ability to act as a cloud phone solution that integrates with multiple social media platforms, allowing for seamless automatic cross-platform content posting is unique.
User Comments
Users appreciate the convenience this software brings to manage social media.
Some find the integration with platforms like TikTok and Facebook very efficient.
The cloud phone functionality is seen as innovative.
Reliability of the service garners mixed reviews.
Customer support and responsiveness could be improved.
Traction
Not enough specific quantitative data available in the sources provided.
Market Size
The social media management industry is expected to reach $18.7 billion by 2026, highlighting significant growth potential for cloud-based multi-platform solutions.
Problem
Users face challenges in accessing powerful NVIDIA GPU Cloud Clusters on-demand for their AI, deep learning, and HPC workloads
Drawbacks: Limited availability and accessibility to high-performance GPU clusters can slow down AI, deep learning, and HPC tasks, leading to delays and inefficiencies.
Solution
Cloud-based service offering NVIDIA GPU Cloud Clusters on-demand to accelerate AI, deep learning, and HPC tasks
Core features: On-demand provision of high-performance GPU clusters, efficient power for AI workloads, deep learning projects, and HPC tasks.
Customers
AI researchers
Data scientists, and developers working on AI, deep learning, and HPC projects requiring high-performance GPU clusters.
Unique Features
Provision of NVIDIA GPU Cloud Clusters on-demand sets it apart from traditional methods of GPU cluster accessibility
Focus on delivering top-notch GPU resources specifically tailored for AI, deep learning, and HPC workloads.
User Comments
Smooth experience in accessing powerful GPU resources
Great acceleration for AI and deep learning tasks
Efficient support for HPC workloads
Streamlined service for GPU cloud clusters on-demand
Highly recommended for AI researchers and data scientists.
Traction
Growing user base with positive feedback
Increase in on-demand GPU cluster requests
Expansion of services to cater to more AI, deep learning, and HPC users.
Market Size
Global market for AI and HPC workloads utilizing GPU clusters was valued at approximately $7.53 billion in 2020.
The demand for high-performance GPU resources is expected to grow with advancements in AI, deep learning, and HPC technologies.
Cloud Phone Service
Cloud phone optimized specifically for AI agents (Agent AI)
4
Problem
Users deploy AI agents using local hardware or generic cloud services, leading to high local resource usage and inefficient bulk deployment.
Solution
A cloud phone service enabling users to deploy and run AI agents in bulk via optimized cloud infrastructure, reducing local resource dependency. Example: Automate customer service calls at scale.
Customers
AI developers, tech startups, and enterprises requiring scalable AI agent deployment for tasks like customer support or data processing.
Unique Features
Specialized infrastructure for AI agents, bulk deployment capabilities, and cloud-native automation to minimize local resource strain.
User Comments
Simplifies scaling AI workflows; Reduces server costs; Seamless integration with existing systems; Reliable uptime; Enhances operational efficiency.
Traction
Launched on ProductHunt with 150+ upvotes; Early-stage traction with 500+ active users; Pricing starts at $99/month.
Market Size
The global cloud communication platform market was valued at $4.14 billion in 2021, projected to reach $26.93 billion by 2031 (CAGR 20.7%).