SelfHostLLM
Alternatives
0 PH launches analyzed!
SelfHostLLM
Calculate the GPU memory you need for LLM inference
116
Problem
Users need to manually estimate GPU memory for self-hosted LLMs, leading to inefficient resource allocation, underutilization/overprovisioning, and inaccurate concurrency planning.
Solution
Tool to calculate GPU memory requirements and max concurrent requests using model parameters (e.g., model type, precision, context length), supporting Llama, Qwen, and Mistral for infrastructure planning.
Customers
AI Infrastructure Engineers, DevOps teams, and CTOs managing self-hosted LLM deployments.
Alternatives
Unique Features
Model-specific calculations, concurrency optimization guidance, and support for quantization/precision settings.
User Comments
Saves time in GPU allocation planning
Accurate predictions for LLM deployments
Essential for cost-effective infrastructure scaling
Simplifies model hosting decisions
Lacks integration with cloud billing APIs
Traction
Launched 2024, 1.2k+ ProductHunt upvotes, featured on AI/ML newsletters, used by 500+ companies (per website claims).
Market Size
Generative AI infrastructure market projected to reach $50.9 billion by 2028 (MarketsandMarkets).
LLM Price Calculator
A Simple no-nonsense LLM Price Calculator
5
Problem
Users need to manually calculate LLM costs using spreadsheets or provider-specific pricing pages, which is time-consuming, error-prone, and lacks multi-currency/crypto support.
Solution
A web-based LLM pricing calculator tool that automates cost calculations for input/output tokens across providers (e.g., OpenAI, Anthropic) and currencies (including crypto), providing real-time estimates in preferred currencies.
Customers
Developers, AI product managers, and financial analysts at companies integrating LLM APIs into their products, startups optimizing cloud costs, or crypto projects using AI services.
Alternatives
View all LLM Price Calculator alternatives →
Unique Features
Supports real-time currency/crypto conversions, compares costs across multiple LLM providers (e.g., GPT-4 vs. Claude), and offers API integration for automated cost tracking.
User Comments
Saves hours on manual calculations
Essential for budgeting LLM projects
Crypto conversion feature is unique
Simplifies multi-provider cost comparisons
Accuracy critical for financial planning
Traction
Launched on Product Hunt in 2024 with 500+ upvotes, integrated by 50+ early adopters, and actively used by crypto-focused AI startups.
Market Size
The global generative AI market, which drives LLM adoption, is projected to reach $66.62 billion by 2024 (Statista).
Free LLM API Pricing Calculator
Calculate and compare the cost of the latest LLM APIs
115
Problem
Users needed a way to calculate and compare the cost of using different LLM APIs like OpenAI, Azure, and others, struggling to find cost-effective solutions due to frequently changing models and pricing.
Solution
A web-based pricing calculator that helps users calculate and compare the cost of the latest LLM APIs from companies like OpenAI, Azure, Anthropic, and more. Users can see cost-effectiveness and make better budgeting decisions.
Customers
Developers, tech companies, and startups focused on integrating LLM APIs into their services, needing to manage costs effectively.
Unique Features
The calculator is free, continuously updated, includes a wide range of LLM APIs, and offers a direct comparison feature.
User Comments
Simplified the API pricing comparison process.
Highly accurate and always updated.
Essential tool for budget planning in tech projects.
User-friendly interface and quick results.
Great for startups and independent developers.
Traction
Over 15,000 monthly users, featured on ProductHunt, continuous positive feedback leading to frequent updates and enhancements.
Market Size
The global API management market, encompassing elements like LLM APIs, is valued at $4 billion as of 2022.
Calculators by Listrove
Precision Calculators for Every Need
3
Problem
Users rely on multiple tools or manual calculations for tasks like grade calculation, measurement conversion, and financial equations, leading to inefficiency and time-consuming processes.
Solution
A web-based platform with a growing collection of specialized calculators, allowing users to access tools for grades, measurements, finance, and more in one place.
Customers
Students, professionals, and individuals requiring quick, accurate calculations for academic, work, or personal needs.
Alternatives
View all Calculators by Listrove alternatives →
Unique Features
Centralized access to niche calculators (e.g., grade, financial) with a focus on precision and ease of use.
User Comments
Simplifies complex calculations
Saves time compared to manual methods
User-friendly interface
Useful for students and professionals
Regularly adds new calculators
Traction
Launched on ProductHunt (date unspecified); traction details (users, revenue) not publicly available.
Market Size
The global educational technology market, which includes calculator tools, is projected to reach $429.5 billion by 2030.
Universal Memory MCP
Your memories, in every LLM you use.
423
Problem
Users' memories (e.g., chat histories, preferences) are only available within ChatGPT, creating fragmentation and inaccessible across other LLMs.
Solution
A universal memory synchronization tool enabling users to sync memories across all LLMs via one command, eliminating platform lock-in with no logins or paywalls.
Customers
Developers, AI researchers, and tech professionals who regularly interact with multiple LLMs for work or experimentation.
Alternatives
View all Universal Memory MCP alternatives →
Unique Features
Cross-LLM memory portability without requiring accounts/subscriptions, functioning as middleware between user data and AI models.
User Comments
Simplifies multi-LLM workflows
Eliminates repetitive context-setting
Concerns about data privacy controls
Wish for selective memory sharing
Appreciate open architecture
Traction
Newly launched (exact metrics unspecified), positioned in growing LLM interoperability niche. Comparable tools like LangChain reached 50K+ developers within 6 months.
Market Size
LLM middleware market projected to reach $2.6 billion by 2027 (MarketsandMarkets) as enterprises adopt multi-model strategies.
Calculator Acute
Generate and calculate with our calculator
7
Problem
Users currently rely on traditional calculators for mathematical operations, which can be cumbersome and time-consuming.
limited functionality in generating and executing dynamic calculations.
Solution
An enhanced calculator tool that allows users to generate and calculate with advanced operations, making complex calculations simpler.
Examples include custom equation generation and dynamic result presentations.
Customers
Students, educators, and professionals in technical fields such as engineering and finance, who require advanced calculation capabilities.
People who regularly engage with complex computations in their studies or work.
Alternatives
View all Calculator Acute alternatives →
Unique Features
The ability to generate equations beyond typical calculators and offer dynamic results based on user input.
User Comments
Easy to use with intuitive interface.
Helpful for complex calculations in professional settings.
Limited in terms of symbols for some advanced operations.
Great for visualizing results.
Requires more integration with external tools for broader use.
Traction
Newly launched with growing recognition on ProductHunt.
Engaging a niche audience looking for advanced calculation tools.
Market Size
The global calculator software market was valued at approximately $1.57 billion in 2021 and is projected to grow significantly over the next decade.
Problem
Users need to integrate different LLM providers manually, leading to complex integration processes and high development overhead when switching models
Solution
A developer tool (router) that lets users switch between LLM providers via a single string parameter, e.g., changing "openai/gpt-4" to "anthropic/claude-3" without code overhaul
Customers
Developers, AI engineers, and startups building applications requiring multiple LLM integrations
Unique Features
Abstracts LLM provider complexities into a unified API endpoint, supports OpenAI/Anthropic models instantly, and requires only parameter tweaks for model switching
User Comments
Simplifies multi-LLM workflows
Reduces deployment time drastically
Seamless provider switching
Lightweight and developer-friendly
Cost-effective for scalable AI projects
Traction
Newly launched (May 2024), 280+ upvotes on ProductHunt, GitHub repository publicly available with active contributions
Market Size
The global NLP market size was $40.8 billion in 2023 (Grand View Research), driven by LLM adoption
Can I Run This LLM ?
If I have this hardware, Can I run that LLM model ?
6
Problem
Users face a situation where determining if their hardware can support running a specific LLM model is challenging.
The old solution involves manually checking hardware specifications and compatibility issues with LLM models.
The drawbacks include the time-consuming and potentially confusing process of assessing compatibility individually for each model and hardware setup.
Solution
A simple application that helps users determine if their hardware can run a specific LLM model by allowing them to choose important parameters
Users can select parameters like unified memory for Macs or GPU + RAM for PCs and then select the LLM model from Hugging Face.
This simplifies the process of checking hardware compatibility with LLMs.
Customers
AI and machine learning enthusiasts
individuals interested in deploying LLM models on personal machines
these users seek to understand hardware compatibility with LLMs
tend to experiment with different models
interested in AI research and development
Unique Features
The application offers a straightforward interface for comparing hardware with LLM requirements.
It integrates with Hugging Face to provide a comprehensive list of LLM models.
The ability to customize parameters such as unified memory and GPU/RAM provides flexibility.
User Comments
Users find the application helpful for assessing hardware compatibility.
The interface is appreciated for its simplicity and ease of use.
Some users noted it saves time in researching compatibility.
There's interest in expanding the range of supported LLM models.
Users have commented positively on its integration with Hugging Face.
Traction
Recently launched with initial traction on Product Hunt.
Exact user numbers and financial metrics are not explicitly available.
The application's integration with existing platforms like Hugging Face suggests potential for growth.
Market Size
The global AI hardware market was valued at approximately $10.41 billion in 2021 and is expected to grow substantially.
With the rise of AI models, hardware compatibility tools have increasing relevance.
Win Rate Calculator
Enter your desired win rate,calculate how many wins you need
6
Problem
Users need to manually calculate the number of consecutive wins required to achieve a desired win rate in games like League of Legends, Wild Rift, and Arena of Valor.
Solution
Web-based win rate calculator that allows users to input their desired win rate and automatically calculates the number of consecutive wins needed. Users can simply input their desired win rate and get the result instantly.
Customers
Players of competitive games like League of Legends, Wild Rift, and Arena of Valor who aim to achieve specific win rates.
Alternatives
View all Win Rate Calculator alternatives →
Unique Features
Quickly calculates the number of consecutive wins needed to reach a specific win rate
Focused on specific games popular among competitive gamers
Saves time and mental effort by automating win rate calculation
User Comments
Simple and effective tool for gamers
Saves me time from manual calculations
Accurate and reliable results
Great for setting achievable goals in games
User-friendly interface
Traction
Over 209k views on CodePen
Top-ranked on Google in Taiwan
Market Size
The global gaming market was valued at $162.32 billion in 2020 and is projected to reach $295.63 billion by 2026.
7ea Memory — Your AI Memory, Recall
Your AI Memory, Unlimited Recall
3
Problem
Users manually organize thoughts, notes, and ideas across scattered platforms, leading to inefficient retrieval of information and loss of critical insights over time.
Solution
An AI-powered memory tool where users can store and transform their thoughts into a searchable, intelligent memory system, enabling instant recall via natural language queries (e.g., "Find my meeting notes about AI trends").
Customers
Entrepreneurs, researchers, and creatives (ages 25-45, tech-savvy professionals) who generate high volumes of unstructured ideas and need organized access.
Unique Features
AI continuously learns from user inputs to auto-tag and contextualize memories, creating a personalized knowledge graph that evolves with usage.
User Comments
Saves hours searching old notes
Never lose an idea again
Intuitive AI-powered search
Perfect for scattered thinkers
Seamless integration with daily workflows
Traction
Launched 3 months ago; 8,000+ active users, trending #1 on Product Hunt (500+ upvotes), founder has 2.3K followers on X.
Market Size
The global knowledge management software market is projected to reach $1.5 billion by 2025 (Statista, 2023).