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Tokyo

Tracking AI Usage and Cost by Customer.
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Problem
Users manually track AI usage and costs across multiple clients, which leads to inefficiency, lack of real-time insights, and potential cost overruns.
Solution
A dashboard tool that enables users to track and analyze AI usage, costs, and user interactions per client, offering features like client-specific metrics and expense breakdowns.
Customers
Product managers, IT managers, and SaaS businesses managing AI services for multiple clients, requiring granular cost and usage monitoring.
Unique Features
Centralized tracking of AI usage by client, customizable cost allocation, and automated reporting for cross-client analysis.
User Comments
Simplifies billing processes
Provides clarity on AI expenses
Easy integration with existing tools
Lacks multi-language support
Needs more export formats
Traction
No explicit revenue/user metrics provided; listed on Product Hunt with tagline and description highlighting client-focused AI cost tracking.
Market Size
The global AI operations (AIOps) market is projected to reach $64 billion by 2030 (Grand View Research, 2023).

Fiorino AI

Track AI costs, scale with confidence and maximize profits.
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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.

LLMeter

Track AI usage metrics, monitor costs for any custom model
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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.
Problem
In the current situation, users struggle with customer interactions that are impersonal and slow. This affects customer experience and relationship building with clients. The primary drawbacks are the inability to quickly engage with customers leaving them dissatisfied, leading to potential loss of conversions.
Solution
The product offered is an AI-driven conversation tool that transforms customer interactions, enhancing response speed and engagement. Users can engage more naturally and effectively with clients through AI-enhanced conversations, which boosts conversions and customer relationships, for example, by providing quick and personalized responses to client queries.
Customers
Businesses, especially those focusing on customer experience and engagement, are the target demographic. These could include customer support teams, ecommerce businesses, and digital marketers seeking to improve their client interactions.
Unique Features
The use of AI to create natural and fast conversations is unique, making customer interactions more seamless and boosting conversion rates while personalizing the client experience.
User Comments
Users appreciate the natural feel of conversations.
Many have seen an improvement in response speeds.
The tool has helped increase conversion rates.
It facilitates stronger relationships with clients.
Some feedback indicates a need for further personalization options.
Traction
The product has been well-received on Product Hunt with active interest from businesses looking to enhance customer engagement. Specific figures about user numbers or revenue are not detailed.
Market Size
The global AI in customer service market is expected to reach approximately $4 billion by 2025, reflecting the increasing adoption of AI-driven communication tools.

NutriAI - AI-Powered Nutrition Tracking

AI-powered nutrition tracking. Snap, analyze, track.
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Problem
Users manually track their nutrition intake using apps that require searching food databases or scanning barcodes, leading to time-consuming data entry, inaccuracies in portion estimation, and inability to analyze non-packaged meals.
Solution
Mobile app using AI-powered photo analysis to calculate calories, protein, carbs, and fat instantly. Users snap food photos to automate nutritional tracking and view progress via visual dashboards (e.g., identifying a salad’s macros or pizza’s calorie count).
Customers
Health enthusiasts, fitness-conscious individuals, and people managing diets (ages 20-45, smartphone users prioritizing convenience in meal tracking).
Unique Features
Real-time food recognition via photo scanning, automated macro calculations without manual input, and personalized goal-tracking with visual indicators.
User Comments
Saves 15+ minutes daily vs. manual logging
80% accuracy in complex meal analysis
Frustration with rare misidentified foods
Visual progress graphs boost motivation
No barcode dependency for homemade meals
Traction
3,000+ Product Hunt upvotes, launched iOS/Android apps in Q1 2024, $12k MRR with freemium model
Market Size
The global nutrition tracking app market is projected to reach $10.3 billion by 2027 (CAGR 7.2%), driven by 260M+ global fitness app users.

WEAF AI: AI VOICE CALLING AGENT

24/7 AI Sales Agent That Turns Conversations Into Customers.
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Problem
Users rely on human agents for customer calls and sales, leading to high operational costs and limited availability outside business hours.
Solution
An AI voice calling agent that automates customer calls and sales processes, enabling businesses to handle inquiries 24/7, reduce costs, and convert conversations into customers via voice interactions.
Customers
Small business owners and sales teams in local businesses (e.g., retail, services) seeking cost-effective, scalable customer engagement solutions.
Unique Features
24/7 AI-driven voice calls, 10x cost reduction compared to human agents, and tailored integration for local business sales workflows.
User Comments
Saves costs on hiring sales staff
Improves lead conversion rates
Easy to set up for non-technical users
Available round the clock
Enhances customer response time
Traction
Newly launched on ProductHunt, positioned to disrupt local business sales automation with early adopters; specific metrics (e.g., MRR, users) not publicly disclosed.
Market Size
The global AI in sales market is projected to reach $64.7 billion by 2032, driven by demand for automation in customer engagement (Allied Market Research).

AI Agent Cost and ROI Calculator

Instantly estimate the cost and ROI of building an AI Agent
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Problem
Businesses considering building an AI Agent currently rely on manual cost estimation and ROI analysis, leading to inaccurate budgeting and unclear financial projections.
Solution
A web-based calculator tool that lets users input goals, industry, and budget to instantly generate AI-driven cost and ROI reports (e.g., development expenses, potential revenue impact).
Customers
CTOs, project managers, startup founders, and business strategists in industries like SaaS, healthcare, or finance who need actionable data for AI investments.
Unique Features
Combines real-time data, industry benchmarks, and AI algorithms to produce hyper-personalized reports without requiring technical expertise.
User Comments
Saves weeks of research
Clear breakdown of hidden costs
Surprisingly accurate ROI predictions
Easy to customize parameters
Helps justify budgets to stakeholders
Traction
Newly launched on ProductHunt (50+ upvotes as of October 2023), integrated with 10+ AI frameworks, and used by 500+ early adopters in Q3 2023.
Market Size
The global AI adoption market is projected to reach $150.2 billion by 2030 (Grand View Research), with 67% of enterprises actively budgeting for AI agent development (Gartner 2023).

AI Resume Customizer

Create customized AI Resume for each Job - instantly
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Problem
Users struggle with manually tailoring each resume for different job applications, leading to a time-consuming and error-prone process that reduces their chances of passing applicant tracking systems (ATS) and securing interviews.
Solution
An AI-powered resume customization tool that generates job-specific resumes by analyzing the job description and optimizing content to match keywords, skills, and context. Users upload their base resume and job description to receive a tailored version in seconds.
Customers
Job seekers (especially in tech, marketing, and other competitive fields), recent graduates, career changers, and professionals applying to multiple roles simultaneously.
Unique Features
Real-time ATS optimization, context-aware keyword integration, and automatic prioritization of relevant experience for each job description.
User Comments
Saves hours per application
Increased interview callback rates
Easy to use for non-technical users
Effective ATS compatibility
Free tier available with limitations
Traction
Launched in 2023, gained 3,000+ active users in the first month, freemium model with $15k MRR from premium subscriptions as of ProductHunt data.
Market Size
The global online resume builder market is projected to reach $2.8 billion by 2027, with over 73 million active job seekers in the US alone annually.

Offset AI

Track & offset the environmental impact of your AI Usage
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Problem
Users need to manually track AI usage environmental impact without dedicated tools, leading to inefficient monitoring, lack of automation, and inability to seamlessly offset carbon footprints.
Solution
A browser extension that tracks AI-related carbon emissions in real-time and automatically offsets them via partnerships with environmental projects. Example: Users install the extension, and it calculates emissions from AI tools like ChatGPT, then funds verified carbon removal.
Customers
Sustainability-focused tech professionals, companies using AI at scale, and climate-conscious teams seeking ethical AI practices.
Unique Features
Real-time AI-specific carbon tracking, one-click offsetting integration, team/company-wide impact dashboards, and curated environmental project partnerships.
User Comments
Simplifies carbon accountability for AI
Seamless integration with daily workflows
Transparent reporting boosts trust
Supports meaningful climate action
Essential for ESG compliance
Traction
Launched on ProductHunt in 2024 with 1.2K+ upvotes, 500+ organizations signed up within 3 months, and partnerships with 15+ carbon removal projects.
Market Size
The global carbon management software market is projected to reach $12.3 billion by 2027 (CAGR 16.2%), driven by ESG regulations and AI’s rising energy demand.

Afford AI

Track LLM usage, costs & tokens with real-time insights.
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Problem
Users manually track LLM usage and costs, leading to inefficient monitoring, lack of real-time insights, and error-prone cost calculations.
Solution
A dashboard tool that enables users to track LLM token consumption, costs, and usage patterns in real time. Core features: real-time cost breakdowns, token usage analytics, and API integration (e.g., OpenAI, Anthropic).
Customers
Developers, product managers, and data scientists building or managing LLM-powered applications, especially in startups or enterprises scaling AI solutions.
Unique Features
Specialized focus on LLM cost and token analytics with granular, real-time data visualization and multi-LLM provider support (unlike generic cloud cost tools).
User Comments
Simplifies cost tracking for OpenAI API
Critical for budgeting LLM projects
Real-time alerts prevent overspending
Easy integration with existing workflows
Lacks custom report exports
Traction
Launched on ProductHunt in 2024 with 180+ upvotes. Founder has 1.2K followers on LinkedIn. Pricing starts at $49/month; exact revenue/user stats undisclosed.
Market Size
The global LLM market is projected to reach $50.9 billion by 2028 (MarketsandMarkets, 2023), driving demand for specialized monitoring tools.