dstack
Alternatives
0 PH launches analyzed!
Problem
Developing Large Language Models (LLMs) across multiple clouds can be complex and costly, involving tedious development processes, high cloud costs, and issues with vendor lock-in, leading to reduced flexibility and increased expenditure.
Solution
dstack is an open-source tool designed to simplify LLM development across multiple cloud platforms. It helps streamline the development and deployment process, reduce cloud costs, and offer freedom from vendor lock-in, enabling developers to focus on innovation rather than infrastructure.
Customers
Software developers, tech companies, and researchers who are working on developing and deploying Large Language Models (LLMs) across different cloud environments.
Alternatives
Unique Features
Freedom from vendor lock-in, cost-effective development across multiple clouds, and simplification of the LLM development and deployment process.
User Comments
Users appreciate the cost reductions.
Positive feedback on the ease of use.
Value the multi-cloud approach for LLM development.
Positive remarks on open-source nature.
Likes for the flexibility and freedom from vendor lock-in.
Traction
Since the product is based on open-source contributions, exact user numbers and revenue figures are not available. However, its presence and activity on Product Hunt indicate a growing interest in the solution among developers and tech companies.
Market Size
The global cloud computing market size was valued at $371.4 billion in 2020 and is expected to grow at a CAGR of 17.5% from 2021 to 2028.
Problem
Startups and developers currently find it expensive to use LLM inference due to providers charging per token, leading to ballooning costs.
Solution
AwanLLM offers a cloud service for LLM inference, using a subscription model rather than a pay-per-token system. They provide cost-effective, reliable services by situating data centers in strategic cities. The highlights include monthly charging instead of per token, aimed at reducing the costs of LLM inference for users.
Customers
Startups and developers looking for cost-effective solutions for LLM inference.
Alternatives
View all Awan LLM alternatives →
Unique Features
Subscription-based pricing rather than token-based, strategic placement of data centers to optimize costs and efficiency.
User Comments
Beta version resolved previous issues with API reliability.
Cost reduction noticeable after switching from per-token billing.
Improved response times in project deployment.
Excellent customer service during onboarding.
Needs more geographic coverage for optimal speed.
Traction
Launched 6 months ago, currently serving over 500 active users, generating approximately $50k MRR.
Market Size
The global machine learning as a service (MLaaS) market is projected to grow to $8.4 billion by 2026.
Website Development Cost Calculator
Calculate the estimate cost of web development
10
Problem
Users struggle to estimate the cost of web development accurately, leading to budget overruns and inefficient resource allocation.
Solution
A web-based cost calculator tool that helps users estimate the cost of various types of websites like static, eCommerce, dynamic, etc., providing clarity and accurate budget planning.
Calculate the estimate cost of web development
Customers
Business owners, entrepreneurs, project managers, and individuals planning to create a website and seeking to understand the associated development costs.
Unique Features
Accurate estimation for different website types
Helps in budget planning and resource allocation
Traction
Traction details are not available for the product.
Market Size
The global website development market size was valued at $116.20 billion in 2020 and is expected to reach $185.77 billion by 2027, growing at a CAGR of 6.7%.
LLM API Costs Widget
openai llm api costs
4
Problem
Users manually track their OpenAI API usage and calculate associated costs, leading to time-consuming processes and potential budget overruns due to inaccuracies.
Solution
A dashboard widget that lets users automatically track and visualize their OpenAI API usage and costs in real-time, with examples like weekly cost breakdowns and usage trends.
Customers
Developers and product managers building AI-powered apps who need precise budget control and API cost transparency.
Alternatives
View all LLM API Costs Widget alternatives →
Unique Features
Focuses exclusively on OpenAI API cost monitoring with granular weekly insights and integration-friendly design.
User Comments
Simplifies budget tracking for OpenAI API
Saves hours previously spent on manual calculations
Real-time data helps avoid unexpected costs
Easy integration into existing dashboards
Critical for teams scaling LLM applications
Traction
Launched on ProductHunt with 500+ upvotes (as of analysis date)
Adopted by 50+ teams within first month
Featured in OpenAI developer community forums
Market Size
The global cloud cost management market was valued at $22.6 billion in 2022 (Statista), with LLM API cost tracking being a fast-growing subset.
Mobile App Development Cost
Mobile App Development Cost in Australia 2025
3
Problem
Users planning to develop mobile apps in Australia manually research costs, facing time-consuming processes, outdated data, and inaccurate estimates for budgeting.
Solution
A web-based cost estimation tool that provides real-time, granular app development cost breakdowns (e.g., basic vs. complex apps) using localized Australian market data and AI-driven projections for 2025. Core feature: generate dynamic cost estimates based on app type, features, and regional rates.
Customers
Startup founders, entrepreneurs, and business owners in Australia exploring app development; SMEs with limited technical expertise seeking budget clarity.
Unique Features
Hyper-localized Australian cost data for 2025, scenario-based projections (e.g., iOS vs. Android), and real-time adjustments for currency/tech stack changes.
User Comments
Saves weeks of research with precise numbers | Missing regional tax calculations | Overestimates backend costs | Clear UI for non-technical users | Wish for agency price comparisons
Traction
Launched 2 months ago with 1,200+ active users (70% from Australia), featured in 3 local tech newsletters. Founder has 2.3k LinkedIn followers focused on app development.
Market Size
Australia's mobile app development market projected to reach $1.2 billion AUD by 2025 (IBISWorld), with 15k+ businesses annually seeking cost estimates.
Grocery Delivery App Development Cost
Grocery Delivery App Development
1
Problem
Businesses planning to develop grocery delivery apps struggle to determine accurate development costs due to variable factors like features, platform choice, design complexity, and team location, leading to budget overruns or compromised app quality.
Solution
A cost estimation tool that calculates grocery delivery app development expenses based on customizable parameters (features, platform, design, team location). Example: Users input iOS/Android preference, desired features (e.g., payment gateway, real-time tracking), and receive a tailored cost breakdown.
Customers
Startups and entrepreneurs entering the grocery delivery market, mid-sized retail businesses expanding online, and tech teams/agencies offering app development services.
Unique Features
Provides granular cost breakdowns by region (e.g., $50/hour dev rates in Asia vs. $150/hour in North America) and feature-specific pricing (e.g., $5k-$10k for user profiles, $8k-$15k for payment integration).
User Comments
Lack of user comments on ProductHunt; inferred value from market demand for transparent, customizable app development budgeting.
Traction
Launched on ProductHunt; no disclosed revenue/user metrics. Founder’s LinkedIn/X followers not specified. Market relevance tied to projected grocery delivery sector growth.
Market Size
The global online grocery delivery market is projected to reach $1.2 trillion by 2027 (Grand View Research), driving demand for cost-effective app development solutions.
App Development Cost Estimator
Get Instant Estimates for Any App Idea
2
Problem
Users manually estimate app development costs through consultations or spreadsheets, leading to time-consuming processes, inaccurate budgets, and lack of tailored insights.
Solution
A web-based tool where users input app specifications (platforms, features, complexity) to generate instant, real-time cost estimates using AI-driven algorithms, e.g., estimating costs for iOS/Android apps with integrations like payment gateways.
Customers
Startup founders, product managers, and business owners planning to build apps, typically tech-savvy, budget-conscious, and seeking quick financial planning insights.
Unique Features
Real-time, granular cost breakdowns (design, development, testing) based on dynamic market rates and customizable parameters (team location, app complexity).
User Comments
Saves hours of research; surprisingly accurate estimates. Simple interface. Helpful for pitching to investors. Lacks niche feature support. Free to use with clear breakdowns.
Traction
Launched on ProductHunt in 2023; 1,200+ upvotes. Used by 50,000+ users; partnered with 10+ dev agencies. Founder has 2K+ followers on X.
Market Size
The global mobile app development market is projected to reach $100 billion by 2025 (Statista, 2023), with 6.8M+ apps requiring cost estimation services.
AI Cost Bar
Calculate LLM API call costs right from the menubar
4
Problem
Users manually calculate LLM API call costs using spreadsheets or documentation, which is time-consuming and error-prone
Solution
A macOS menubar app enabling real-time cost calculation and comparison for LLM API calls across providers like OpenAI, Anthropic, and Azure OpenAI
Customers
Developers, product managers, and AI startup teams working with multiple LLM APIs
Unique Features
Instant side-by-side pricing comparisons across LLM providers + menubar accessibility
User Comments
Saves time during API integration
Essential for budget-conscious teams
Simplifies vendor selection
Accurate cost forecasting
Lightweight and convenient
Traction
Available on Mac App Store with multi-provider support (OpenAI, Anthropic, Claude, GPT-4, Azure OpenAI)
Market Size
Cloud AI market projected to reach $274 billion by 2030 (Grand View Research)
LLM Pricing
LLMs Price comparison tool developed and updated by LLM.
100
Problem
Users struggle to compare the pricing information for various Large Language Models (LLMs) offered by official AI providers and cloud service vendors, making it difficult to make informed decisions.
Solution
LLM Pricing is a website that aggregates and compares the pricing information for various Large Language Models (LLMs) offered by official AI providers and cloud service vendors, designed, developed, and updated by Claude 3 Sonnet.
Customers
The primary users are AI researchers, developers, and small to medium-sized enterprises (SMEs) looking to integrate LLMs into their projects or services.
Alternatives
View all LLM Pricing alternatives →
Unique Features
The unique feature of this solution is its ability to aggregate and directly compare pricing information from multiple AI providers in one platform, updated regularly.
User Comments
Saves time and effort in research
Easy to navigate and use
Up-to-date pricing information
Valuable resource for budget planning
Lacks some smaller cloud provider data
Traction
Due to the provided links not functioning correctly, detailed traction such as version, number of users, MRR, or financing specifics are not available.
Market Size
The global AI market size was valued at $93.5 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 38.1% from 2022 to 2030.
Taxi Booking App Development Company
Taxi Booking App Development Company
1
Problem
Businesses looking to develop taxi booking apps face high development costs and generic, inflexible solutions from traditional providers, leading to delayed launches and poor scalability.
Solution
A custom taxi booking app development service enabling businesses to build cost-effective, scalable apps with features like real-time tracking, payment integration, and ride-hailing logic tailored to their specific operational needs.
Customers
Taxi business owners, startups, and entrepreneurs seeking affordable, white-label solutions to digitize their fleets or enter the ride-hailing market.
Unique Features
End-to-end development with pre-built modules for rapid deployment, cost optimization for budget-conscious clients, and post-launch maintenance support.
User Comments
Saves 40% compared to competitors
Delivered MVP in 8 weeks
Easy integration with existing systems
Responsive technical support
Scalable for regional expansion
Traction
No explicit MRR/user metrics provided on ProductHunt; positioned as an established agency with "years of expertise" in mobile app development.
Market Size
The global ride-hailing market is projected to reach $120 billion by 2025, with app development services capturing 15-20% of operator budgets.