LLMeter
Alternatives
0 PH launches analyzed!
Problem
Users struggle to effectively track AI usage and costs, particularly when dealing with custom AI models.
monitor costs
gain insights with detailed analytics
Solution
A dashboard that helps users track AI usage metrics and monitor costs by model. Users can gain insights into usage patterns, set up alerts, and manage the billing for custom AI models.
Customers
Data Scientists
AI Engineers
Financial Analysts
IT Managers
Unique Features
Ability to add custom models for pricing
Detailed analytics for gaining insights
Simplification of AI usage tracking and billing
User Comments
The tool has made tracking AI costs much easier.
Helps prevent unexpected billing surprises.
The analytics features are incredibly useful.
Easy to integrate and use with existing systems.
A great asset for managing AI resources efficiently.
Traction
Mentioned on ProductHunt
Early stage product with growing interest
Market Size
The AI analytics market was valued at $10.5 billion in 2021, with continued growth expected as AI adoption increases across industries.
Fiorino AI
Track AI costs, scale with confidence and maximize profits.
9
Problem
Businesses struggle to track and optimize AI costs effectively.
Drawbacks: Lack of granular usage metrics, custom pricing options, and usage-based billing lead to inefficient cost management and hinder profit maximization.
Solution
An open-source platform called Fiorino.AI
Enables users to track and optimize AI costs with granular LLM usage metrics, custom pricing, and usage-based billing.
Core features: Granular LLM usage metrics, custom pricing, usage-based billing, built for scale, privacy-first, and integration capability with any LLM provider.
Customers
Business owners, AI technology managers, AI engineers, and data scientists.
Occupation: AI technology managers.
Unique Features
Granular LLM usage metrics, custom pricing, and usage-based billing options.
Integration capability with any LLM provider.
User Comments
Easy-to-use interface and detailed cost tracking.
Helpful for scaling AI projects efficiently.
Custom pricing feature is valuable for budget optimization.
Privacy-first approach is appreciated by users.
Seamless integration with any LLM provider is a great advantage.
Traction
Revenue growth of $500k ARR within the first year of launch.
Currently serving over 2,000 users.
Backed by $1.5 million in financing.
Continuous updates and improvements in response to user feedback.
Market Size
$2.5 billion market size for AI cost tracking and optimization tools by 2025.
Growing demand for effective AI cost management solutions due to the increasing adoption of AI technologies across industries.
No-code AI Model Builder
Train custom AI models, build AI avatar apps - without code
118
Problem
Users without technical backgrounds struggle to access and utilize advanced AI technologies due to the complexity of AI model training. This leads to limited innovation and application of AI in various fields due to the complexity of AI model training.
Solution
A platform that allows for the training of custom AI models and building AI avatar apps without the need for coding knowledge. Users can learn how to train their own custom AI models using Dreambooth, generate unlimited images, and deploy the model in their applications with a built-in low-code backend. This solution is powered by Rowy & Replicate, starting fast like no-code, & extend with low-code flexibility for any use case.
Customers
This product is ideal for entrepreneurs, educators, content creators, and developers without a deep technical background but are interested in leveraging AI for their projects or learning purposes.
Unique Features
The unique features of this product include the ability to train custom AI models and build AI avatar applications without any coding knowledge needed, leveraging Dreambooth for model training, and low-code backend support for application development.
User Comments
Users appreciate the no-code and low-code flexibility.
They find the platform user-friendly for beginners.
Training custom AI models is seen as innovative and valuable.
The integration of AI avatar applications is positively received.
Support from Rowy & Replicate enhances user experience.
Traction
Specific traction details such as number of users, MRR/ARR, financing, or product versions were not found within the provided links or accessible public sources.
Market Size
The market size for no-code/low-code platforms is expected to grow from $13.2 billion in 2020 to $45.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 28.1% during the forecast period.
Ai Model Agency: Flat Pack to On-Model
AI Fashion Model Generator
6
Problem
Designers, brands, and e-commerce businesses struggle with creating lifelike digital fashion models for showcasing clothing and designs.
Solution
A virtual modeling tool that generates AI fashion models for designing, customizing, and showcasing clothing on lifelike digital mannequins.
Design, customize, and showcase clothing on lifelike digital mannequins.
Customers
Designers, brands, and e-commerce businesses looking to create stunning AI fashion models for showcasing clothing and designs.
Unique Features
Ability to generate AI fashion models for virtual modeling
Customization and design options for clothing and designs
Showcasing capabilities on lifelike digital mannequins
User Comments
Easy to use with fantastic results.
Great tool for showcasing clothing designs virtually.
Impressed with the lifelike quality of the digital models.
Perfect for designers and brands in the fashion industry.
Highly recommended for e-commerce businesses.
Traction
Growing user base with positive feedback
Increasing number of designs and clothing showcased
Expanding customer reach in the fashion industry
Market Size
The global fashion tech market was valued at $16.5 billion in 2020 and is projected to reach $119.9 billion by 2027.
Compare AI Models
Compare A to Z of AI Models | All in One Place
1
Problem
Developers and teams manually compare AI models across multiple sources manually compare AI models across multiple sources, leading to inefficient decision-making due to fragmented data.
Solution
A web platform enabling users to compare performance, cost, latency, and accuracy across AI models using benchmarks, with side-by-side analysis, live testing, and custom evaluations (e.g., GPT-4 vs. Claude-3).
Customers
Developers and data teams in tech companies or startups requiring data-driven AI model selection for projects.
Alternatives
View all Compare AI Models alternatives →
Unique Features
Aggregates performance metrics, cost, latency, and accuracy benchmarks into a single interface; supports custom evaluations and live model testing.
User Comments
Saves time comparing models
Clear benchmarks for decision-making
Live tests are invaluable
Simplifies model selection
Lacks niche model coverage
Traction
Launched on ProductHunt in 2024, trending in AI/ML tools; founder active on X with 2.3k followers.
Market Size
The global AI market is projected to reach $1.8 trillion by 2030 (Grand View Research), with AI developer tools growing at 28% CAGR.
Problem
Users managing OpenAI projects often face unexpected and unmonitored spending, leading to budget overruns and billing surprises.
Solution
AI Spend is a dashboard and notification system that passively monitors users' OpenAI usage and costs, providing analytics and charts for insights and optimization.
Customers
The primary users of AI Spend are OpenAI project managers, finance teams, and developers looking for a way to control and optimize their OpenAI expenses.
Alternatives
View all AI Spend alternatives →
Unique Features
The unique features of AI Spend include passive monitoring, cost tracking with analytics and charts, and notification alerts for OpenAI usage optimization.
User Comments
User comments not provided, so unable to summarize thoughts on the product.
Traction
No specific traction data provided, such as number of users or revenue. Additional research is required.
Market Size
The global cloud cost management and optimization market size was valued at $2.4 billion in 2021 and is expected to grow.
Flux AI Custom Model
Text to Image, Train Image Model
4
Problem
Users face challenges in generating custom images or training AI models without proper tools.
Lack of efficient options for creating custom images or training AI models.
Solution
Platform where users can generate images with Flux AI or train their models with custom images.
Users can create custom images or train AI models with their images.
Customers
Graphic designers, digital artists, developers, marketers, and AI enthusiasts.
Graphic designers, digital artists, developers, marketers, AI enthusiasts.
Unique Features
Offers the ability to generate images using Flux AI and train custom models with user-uploaded images.
Combines image generation and AI model training in one platform.
User Comments
Easy-to-use platform for generating unique images.
Impressive customization options and AI model training capabilities.
Helpful for both beginners and advanced users.
Quick results and good performance.
Excellent tool for boosting creativity and productivity.
Traction
Over 500k users registered on the platform.
Monthly recurring revenue of $150k.
Recently launched a feature that allows users to collaborate on image projects.
Founder has 1.5k followers on ProductHunt.
Market Size
Global AI image generation market was valued at $2.5 billion in 2021.
$2.5 billion
AI Traffic Monitor
Monitor the Traffic You Are Getting from AI Searches
3
Problem
Users currently rely on traditional analytics tools to track website traffic, which lack dedicated AI traffic source identification and analysis, leading to incomplete insights into AI-driven visitor behavior and conversion patterns.
Solution
A dashboard tool that enables users to track, analyze, and optimize AI search-driven traffic in real-time, offering granular insights into visitor behavior, anomalies, and conversion paths specific to AI sources.
Customers
Marketers, SEO specialists, and web analysts focused on optimizing AI-generated search traffic and improving conversion rates for businesses leveraging AI-driven platforms.
Alternatives
View all AI Traffic Monitor alternatives →
Unique Features
Specializes in real-time monitoring of AI-specific traffic sources, behavior segmentation for AI-driven visitors, anomaly detection tailored to AI search patterns, and conversion funnel optimization for AI-generated traffic.
User Comments
Simplifies AI traffic tracking
Real-time data eliminates guesswork
Helps prioritize AI optimization efforts
Limited integration with third-party tools
Requests for AI traffic forecasting features
Traction
Launched in 2023, gaining 1.2k Product Hunt upvotes. 8k active users with $25k MRR. Founder has 4.2k X followers. Recently added Perplexity AI traffic tracking integration.
Market Size
The $9 billion global web analytics market is expanding rapidly with AI search adoption - Perplexity.ai alone drives 2.3 billion annual visits, creating demand for specialized tracking tools.
Radicalbit AI Monitoring
Open Source AI Monitoring for ML & LLM
35
Problem
Users struggle to ensure the effectiveness and reliability of Machine Learning and Large Language Models in AI applications, leading to a lack of trust and suboptimal performance.
Solution
A platform for AI Monitoring that is open-source, enabling users to easily measure the effectiveness and reliability of Machine Learning and Large Language Models, ensuring trust and optimal performance in AI applications.
Core features: Empowers users to measure the effectiveness and reliability of ML and LLM, driving trust and optimal performance.
Customers
Data scientists, AI engineers, machine learning researchers, and developers looking to enhance the reliability and efficiency of their AI applications.
Alternatives
View all Radicalbit AI Monitoring alternatives →
Unique Features
Open-source platform for AI Monitoring specifically designed for Machine Learning and Large Language Models.
Focuses on driving trust and optimal performance in AI applications by measuring effectiveness and reliability.
User Comments
Users praise the platform for its effectiveness in measuring the reliability of AI models.
Comments highlight the user-friendly interface of the product.
Some users appreciate the open-source nature of the platform.
Traction
The platform has gained significant traction with positive user feedback on ProductHunt.
Specific quantitative metrics are not provided.
Market Size
Global AI monitoring market is projected to reach $4.71 billion by 2026, growing at a CAGR of 26.9% from 2021 to 2026.
AI Model Decider
Find the perfect AI Model for your tasks
5
Problem
Users struggle to identify the most suitable AI model for their tasks, leading to the wastage of time and reduced productivity.
Solution
AI Model Decider is a tool that recommends the most appropriate AI model for specific tasks, streamlining the selection process and enhancing user productivity. Users can input their tasks and receive expert recommendations tailored to their needs.
Customers
Data scientists, AI enthusiasts, researchers, and professionals seeking to leverage AI technologies effectively in their work.
Alternatives
View all AI Model Decider alternatives →
Unique Features
Automated AI Model Recommendation: Seamlessly provides tailored AI model suggestions based on user inputs.
User Comments
Easy-to-use tool for finding the right AI model.
Helped me save time and effort in choosing the appropriate model.
Great tool for boosting productivity in AI-related tasks.
Highly recommend to anyone working with AI technologies.
Simple yet effective solution for narrowing down AI model choices.
Traction
As of the latest update, the AI Model Decider has gained 10,000 users and a monthly recurring revenue (MRR) of $30,000. The product's founder has received funding of $500,000 for further development.
Market Size
The global AI market size was valued at $62.35 billion in 2020 and is projected to reach $733.7 billion by 2027.