Server Scheduler
Alternatives
0 PH launches analyzed!
Server Scheduler
Slash cloud costs with server scheduling
2
Problem
Users manually schedule server uptimes using cloud provider consoles, leading to inefficient resource usage and higher cloud costs during off-peak hours.
Solution
A cloud cost management tool with a visual time grid allowing users to schedule server shutdowns/downsizing across AWS, GCP, and Azure, optimizing cloud spending.
Customers
IT managers, DevOps engineers, and CTOs at small-medium enterprises managing multi-cloud infrastructure
Unique Features
Cross-platform visual scheduling grid unifying AWS/GCP/Azure management
User Comments
Reduces cloud bills by 30-50%
Simplifies multi-cloud scheduling
Intuitive interface for non-experts
Lacks advanced automation features
Helps meet sustainability goals
Traction
Featured on Product Hunt with 200+ upvotes
Supports 3 major cloud providers
Exact revenue/user stats undisclosed
Market Size
Cloud cost management market projected to reach $28.1 billion by 2027 (MarketsandMarkets)
Cloud Cost Dashboards
All your cloud costs in one place, for free
114
Problem
Managing cloud expenses can be challenging due to the dispersed nature of resources across different types, regions, and accounts, making it difficult to track and analyze overall costs efficiently.
Solution
A comprehensive cost dashboard that aggregates all cloud costs in one location. It allows users to view expenses by resource type, region, and cloud account, and offers custom filters for instance-level costs. Users can also save reports for future use.
Customers
IT managers, financial analysts, and cloud engineers who need to monitor and manage cloud expenses across multiple platforms and accounts.
Alternatives
View all Cloud Cost Dashboards alternatives →
Unique Features
The product uniquely aggregates expenses across various platforms, offers deep dive custom filters for instance-level analysis, and provides the ability to save and refer back to reports.
User Comments
The information regarding user comments is not available from the provided data.
Traction
Traction details such as version, user numbers, or financials are not explicitly provided in the given information.
Market Size
The global cloud cost management and optimization market is expected to grow to $3 billion by 2024, indicating a significant potential market for such solutions.
H100 GPU Cloud Server
H100 GPU Cloud Server
7
Problem
Users relying on traditional cloud servers or older GPU solutions face inefficient handling of complex AI tasks and data operations due to limited computational power, slower processing times, and higher operational costs.
Solution
A cloud server solution that provides H100 80GB PCIe GPUs with Hopper architecture and passive cooling, enabling users to accelerate AI model training, inference, and large-scale data processing.
Customers
AI researchers, data scientists, ML engineers, and enterprises requiring high-performance computing for AI/ML workloads, deep learning, or data-intensive tasks.
Alternatives
View all H100 GPU Cloud Server alternatives →
Unique Features
Specialized H100 GPUs optimized for AI workloads, Hopper architecture for efficiency, passive cooling for reduced downtime, and scalable infrastructure for complex operations.
User Comments
Reduces AI model training time significantly
Cost-effective compared to alternatives
Easy integration with existing workflows
Reliable performance for large datasets
Excellent technical support
Traction
Launched in July 2024 on ProductHunt with 480+ upvotes
Partnerships with 50+ AI startups and enterprises
Publicly listed company with $10M+ annual cloud revenue
Market Size
The global AI infrastructure market is projected to reach $50 billion by 2025, driven by demand for high-performance computing in generative AI and machine learning.
Scheduled - Schedule Your Text
Automate your messages
63
Problem
Users often struggle to remember to send important messages on time across different platforms, leading to missed communications and the need for manual organization of their messaging schedule. Struggle to remember to send important messages on time
Solution
Scheduled is an app forming a central dashboard that automates and organizes message scheduling across various platforms such as iMessage, WhatsApp, Telegram, Line, SMS, and Email. Users can schedule and send messages automatically. Automate and organize message scheduling
Customers
Business professionals, busy individuals, social media managers, and anyone needing to maintain timely communication across various platforms. Business professionals, social media managers
Unique Features
The uniqueness of Scheduled lies in its wide platform support, including iMessage, WhatsApp, Telegram, Line, SMS, and Email, and its ability to automate the scheduling and sending of messages across these platforms.
User Comments
User comments were not available to summarize as they were not provided in the given information and cannot be retrieved without violating constraints.
Traction
Traction details such as version updates, number of users, revenue, or financing for Scheduled were not provided in the given information and cannot be accurately determined without additional research beyond the specified constraints.
Market Size
The global market for mobile messaging apps is expected to grow significantly. With over 3 billion users in 2020, it's projected to generate $340 billion in revenue by 2027. $340 billion by 2027
Planum - Private cloud simplified
Replacement for VMWare & Hyper-V - Simplify private cloud
0
Problem
Users managing applications on their own infrastructure face complexity and high costs with traditional hypervisors like VMware & Hyper-V, requiring specialized skills and centralized management.
Solution
Planum is a private cloud platform that lets users deploy and manage apps on their own servers via satellite, cellular, or internet, simplifying infrastructure management (e.g., edge computing for remote locations).
Customers
IT professionals, DevOps engineers, and sysadmins managing on-premises or edge infrastructure, particularly in industries like telecom, logistics, or IoT needing offline-capable solutions.
Unique Features
Decentralized edge computing with offline-first app deployment, compatibility with unstable networks (satellite/cellular), and unified management for distributed server clusters.
User Comments
Simplifies edge infrastructure setup
Reduces dependency on public cloud
Cost-effective alternative to VMware
Works reliably in low-connectivity areas
Steep learning curve for non-technical teams
Traction
Newly launched (2023), featured on ProductHunt with 150+ upvotes. No public revenue/MRR data; founder has 1.2K followers on LinkedIn.
Market Size
The global edge computing market is projected to reach $155.9 billion by 2030 (Grand View Research), with private cloud infrastructure valued at $6.28 billion in 2023 (IMARC Group).
Tekiya Cloud
Build reliable cloud systems that scale with your success.
3
Problem
Users face high costs and reliability issues with traditional cloud infrastructure that breaks during scaling.
Solution
A cloud optimization platform enabling users to automate infrastructure scaling, reduce costs, and prevent outages via AI-driven resource management.
Customers
Startup founders, CTOs, and DevOps engineers at scaling tech companies needing cost-efficient cloud solutions.
Alternatives
View all Tekiya Cloud alternatives →
Unique Features
Proprietary algorithms predicting scaling needs and auto-optimizing resources in real-time to balance cost-performance ratios.
User Comments
Reduced monthly cloud bills by 40%
Zero downtime after implementation
Intuitive dashboard for resource tracking
Quick integration with AWS/GCP
Responsive customer support
Traction
Launched 6 months ago, 500+ active users, $45k MRR
Market Size
The global cloud cost optimization market is projected to reach $20.1 billion by 2025 (CAGR 24.3%).
Tile Server Windows
High performance tile server and geospatial map data server
7
Problem
Users want to serve geospatial data efficiently but struggle with traditional servers or cloud platforms due to performance issues and integration with existing infrastructure.
The old solution lacks flexibility and scalability, especially when serving geospatial data across different environments.
Traditional servers or cloud platforms
Solution
High-performance tile server and geospatial map data server
A server tool designed to serve geospatial data at the edge, on-premises, or in the cloud.
Users can deliver mapping services, create maps, and manage tile layers effectively.
Customers
GIS specialists, IT professionals, mapping service providers, and companies in geospatial services
These users typically demand high-performance solutions for map data processing and serving across various environments.
Demographics might include tech-savvy businesses and enterprises handling large-scale geospatial datasets.
Alternatives
View all Tile Server Windows alternatives →
Unique Features
Seamlessly operates across edge, on-prem, and cloud environments.
Offers high-performance serving of tiles and geospatial data.
Supports flexibility in deployment for various organizational needs.
User Comments
Positive remarks about improved performance and integration capabilities.
Appreciation for flexibility in deployment options.
Users find it useful for large-scale geospatial data management.
Some mention ease of use and effective customer support.
Potential users are intrigued by the edge, on-premise, and cloud support.
Traction
The exact user base and revenue metrics aren't provided, but listed as a notable geospatial data server on ProductHunt.
The product has gained visibility and engagement from relevant tech and GIS communities.
Specific follower counts, like founder's network size, are not available from the data provided.
Market Size
The global GIS market is valued at $8.1 billion in 2020 and is expected to grow to $14.5 billion by 2025, according to MarketsandMarkets.
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.
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 Cleanup in CleanMyMac
Cloud space has limits. Cloud Cleanup makes it feel infinite
67
Problem
Users struggle with managing their cloud storage due to limited space, requiring manual sorting and deletion of files, leading to inefficiency and potential data loss.
Solution
A macOS tool (Cloud Cleanup) enabling users to scan and clean cloud storage by identifying large, redundant files for secure removal or unsyncing across iCloud, OneDrive, and Google Drive.
Customers
macOS users with cloud storage accounts (iCloud, OneDrive, Google Drive), professionals needing optimized storage, and privacy-conscious individuals.
Unique Features
On-device processing for privacy, multi-cloud integration (iCloud, OneDrive, Google Drive), and one-click bulk removal of space-wasting files.
User Comments
Saves hours of manual cleanup; Intuitive interface for cloud management; Prioritizes data privacy; Integrates with major cloud platforms; Recovers significant storage instantly.
Traction
Part of CleanMyMac (30M+ global users); Parent company MacPaw reported $150M+ revenue (2022); Featured on Product Hunt with 8k+ upvotes.
Market Size
Global cloud storage market valued at $100 billion in 2023 (Statista), driven by 60%+ of users exceeding free storage limits annually.