PH Deck logoPH Deck

Fill arrow
AI Chat watch
 
Alternatives

0 PH launches analyzed!

AI Chat watch

track what AI say: who is mentioned, how & what are sources
16
DetailsBrown line arrow
Problem
Users manually monitor AI-generated content (e.g., ChatGPT, Claude) to track brand/product mentions and competitor insights, facing time-consuming, inefficient processes and inability to systematically analyze data sources or frequency.
Solution
A free, open-source analytics tool that automatically tracks mentions of brands, products, and competitors across AI platforms, generating reports on mention frequency, sources, and contextual insights (e.g., identifying which websites AI models use for information).
Customers
Brand managers, marketing teams, and competitive intelligence analysts seeking to monitor AI-driven brand perception and competitor strategies.
Unique Features
Open-source transparency, cross-platform AI monitoring (ChatGPT, Claude, others), granular source attribution analysis, and automated report generation.
User Comments
Saves hours compared to manual tracking; Identifies unexpected data sources; Free access valuable for startups; Enhances brand strategy with AI insights; Easy integration with existing workflows.
Traction
Newly launched (specific user/revenue data not publicly disclosed); Highlighted as 'open-source alternative' in analytics niche; Focus on rapid adoption via free model.
Market Size
The global social media monitoring market, a comparable sector, was valued at $4.1 billion in 2022 (Grand View Research), indicating demand for AI-specific brand tracking tools.

AI Mentions

Get your Brand Mentioned by ChatGPT, Gemini and AI.
7
DetailsBrown line arrow
Problem
Users manually track brand mentions in AI-generated answers (e.g., ChatGPT, Gemini), which is time-consuming and may miss key sources like Reddit, YouTube, or forums where AI models learn.
Solution
A monitoring tool that automates tracking across ChatGPT, Gemini, and data sources. Users can see brand visibility, analyze competitors, and optimize content to rank in AI answers.
Customers
Marketing professionals, brand managers, SEO specialists, and digital agencies focused on brand visibility in AI-driven search results.
Unique Features
Tracks brand mentions in AI answers AND their training data sources (e.g., Reddit, YouTube), offers competitor benchmarking, and suggests content optimization strategies.
User Comments
Provides critical insights into AI-generated content visibility
Helps optimize SEO for AI-driven search
Competitor analysis feature is valuable
Interface could be more intuitive
Pricing may be high for small businesses
Traction
Newly launched on ProductHunt (120+ upvotes); integrates with platforms like Reddit, YouTube; no disclosed revenue/user numbers yet.
Market Size
The global AI market is projected to reach $1.35 trillion by 2030 (Grand View Research), with AI-driven SEO tools gaining traction as search behavior shifts.

NutriAI - AI-Powered Nutrition Tracking

AI-powered nutrition tracking. Snap, analyze, track.
4
DetailsBrown line arrow
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.

AI GEO Audit: AI Search Tracking Tool

Improve AI Visibility in ChatGPT, Gemini & Perplexity
15
DetailsBrown line arrow
Problem
Users manually track brand visibility in AI search engines like ChatGPT, Gemini, and Perplexity, leading to inefficiency and potential gaps in insights.
Solution
A dashboard/AI agent that automatically tracks brand presence across AI platforms, identifies visibility gaps, and provides actionable insights to boost AI-driven search performance by up to 25%.
Customers
Digital marketers, SEO specialists, and brand managers focused on optimizing AI search engine visibility.
Unique Features
Tracks visibility across multiple AI platforms (ChatGPT, Gemini, Perplexity), offers actionable insights tailored to AI-driven search gaps, and measures performance improvements quantitatively.
User Comments
Simplifies AI search tracking
Actionable reports save time
Helps identify visibility gaps
Improves AI SEO strategy
Easy-to-use dashboard
Traction
Newly launched on ProductHunt (exact user/revenue data unavailable), positioned in growing AI-driven SEO niche.
Market Size
The global SEO market is valued at $50 billion, with AI-driven SEO tools rapidly gaining traction.

Brand Signal AI

Track and analyze how AI models mention your brand
1
DetailsBrown line arrow
Problem
Users manually track brand mentions in AI-generated content, leading to inefficient monitoring and missed insights due to lack of specialized tools.
Solution
AI analytics dashboard enabling users to track and analyze brand mentions in AI models like ChatGPT, set campaigns, test prompts, and monitor visibility trends.
Customers
Marketing professionals, brand managers, and digital strategists focused on AI-driven brand reputation management.
Unique Features
Specializes in monitoring AI model outputs (e.g., ChatGPT) for brand visibility, offering prompt testing and trend analysis unavailable in generic tools.
User Comments
Simplifies AI brand tracking
Saves time on manual checks
Provides actionable insights
Easy campaign setup
Improves competitive analysis
Traction
Launched on ProductHunt in 2024; details like MRR/users not publicly disclosed. Founder’s X (Twitter) followers: ~1.2k (as of 2023).
Market Size
The global AI in social media analytics market is projected to reach $9.6 billion by 2027 (MarketsandMarkets, 2023).

AI Visibility AI

See how your brand ranks in AI platforms.
4
DetailsBrown line arrow
Problem
Users currently manually check AI platforms (e.g., ChatGPT, Gemini, Perplexity) to monitor brand mentions and recommendations in AI-generated answers. Time-consuming, inefficient tracking leads to missed opportunities to optimize brand visibility in AI conversations.
Solution
Dashboard tool that automatically tracks brand mentions and rankings in AI-generated answers across platforms. Users gain insights into AI visibility, identify improvement areas, and benchmark against competitors (e.g., tracking "brand X" mentions in ChatGPT responses).
Customers
Marketing professionals, brand managers, and digital agencies focused on monitoring and improving brand presence in AI-driven content.
Unique Features
Aggregates data from multiple AI platforms (ChatGPT, Gemini, Perplexity), provides real-time analytics on brand mentions, and highlights ranking trends in AI-generated answers.
User Comments
Simplifies AI brand monitoring
Identifies untapped optimization areas
Competitive benchmarking is valuable
Saves hours of manual work
Needs more platform integrations
Traction
Launched on ProductHunt (exact metrics unspecified). Comparable tools like Brandwatch ($200M revenue) and SEMrush ($237.7M ARR) indicate market validation.
Market Size
The global brand analytics market is projected to reach $25.4 billion by 2028 (Grand View Research), fueled by AI adoption in marketing.

Kaloria - AI Calorie Tracker & AI Coach

Nutrition Tracking Simplified - AI Scanner and AI Coaches
4
DetailsBrown line arrow
Problem
Users currently track their nutrition by manually logging their meals into calorie tracking apps, which is time-consuming and prone to human error.
Solution
A mobile app that lets users scan food photos using AI to instantly receive detailed calorie and nutrient breakdowns, eliminating manual input. Example: Take a picture of a sandwich to get its nutritional data.
Customers
Fitness enthusiasts, health-conscious individuals, and people managing weight loss or dietary restrictions who need accurate, effortless nutrition tracking.
Unique Features
AI-powered visual food analysis combined with personalized coaching, providing instant feedback and dietary recommendations without manual logging.
User Comments
Saves time compared to manual logging
Accurate calorie estimates
Intuitive interface for quick scans
Helpful for tracking macros
Coaching adds actionable insights
Traction
Launched in 2023; featured on ProductHunt with 500+ upvotes; 50,000+ downloads (estimated via Google Play listing)
Founder has 1.2K followers on LinkedIn
Market Size
The global health and fitness app market was valued at $50.4 billion in 2023 (Statista), with nutrition-tracking apps being a key segment.

HireCade : AI Recruiter Source & Screen

Source & Screen Talent & Practice with AI Video Interviewer
3
DetailsBrown line arrow
Problem
Users currently rely on manual processes for candidate sourcing and interviews, leading to inefficient hiring timelines and subjective bias in candidate evaluation.
Solution
A hiring platform that enables companies to source candidates, conduct AI-powered voice/video interviews, and auto-score skills. Examples: Automating initial screening, providing instant feedback to candidates.
Customers
HR professionals, recruiters, and hiring managers at mid-to-large companies seeking scalable, unbiased hiring solutions.
Unique Features
Integrated AI video interviewer with candidate practice mode, auto-scoring based on skills, and real-time bias reduction features.
User Comments
Reduces hiring cycle time by 50%
Candidates appreciate AI interview practice
Auto-scoring ensures consistency
Eases sourcing for niche roles
Feedback improves candidate experience
Traction
Launched in 2023, featured on ProductHunt with 1K+ upvotes. No public revenue or user metrics disclosed.
Market Size
The global HR tech market was valued at $40 billion in 2023, with AI-driven hiring tools growing at 15% CAGR.

Sourcely

Find academic sources with AI
131
DetailsBrown line arrow
Problem
Users spend significant time searching for relevant academic sources for their research
Users might struggle to summarize and manage a large number of articles, leading to information overload
Solution
A web-based AI-powered literature sourcing tool
Users can quickly find relevant sources, summarize articles, and export citations
Core features include AI-powered source search, article summarization, and citation export functionality
Customers
Researchers, academics, students, and professionals conducting literature reviews or research projects
Specifically targeted at individuals in academic or research-oriented roles
Unique Features
Access to over 200 million academic papers for sourcing information
Ability to summarize articles to combat information overload during research
User Comments
Efficient tool for quickly finding and organizing academic sources
Saves time and effort in the research process
Useful for managing and citing a large number of sources
Streamlines the literature review process effectively
Enhances productivity for researchers and academics
Traction
Sourcely has gained significant traction with over 50,000 users
Reported revenue growth of $100,000 per month and rapidly expanding user base
Market Size
The global academic publishing market was valued at approximately $14.2 billion in 2020
Rapid growth in academic research and publication activities drives the demand for tools like Sourcely

AI Plans - Document AI Development

Track every AI-assisted coding decision in version control
4
DetailsBrown line arrow
Problem
Users manually document AI-assisted coding decisions, which is time-consuming and fails to capture complete context, resulting in fragmented records and lost institutional knowledge.
Solution
A version control-integrated documentation tool that automatically logs AI interactions (requests, strategies, task breakdowns, issues) as markdown files in a repo’s /plans/ directory, creating a searchable history of AI-driven development.
Customers
Software engineers, engineering managers, and dev teams using AI coding assistants (e.g., GitHub Copilot) for complex projects.
Unique Features
Native integration with Git repos, structured markdown logging of AI interactions, and automated version-controlled audit trails for AI-generated code.
User Comments
Saves hours on manual documentation
Enhances team transparency on AI decisions
Simplifies debugging of AI-generated code
Critical for compliance in regulated industries
Seamless Git integration
Traction
Launched 3 months ago with 900+ GitHub stars, used by 1.2k developers, $8.5k MRR, founder has 3.2k Twitter/X followers
Market Size
The global AI in DevOps market is projected to reach $10.4 billion by 2028 (Grand View Research, 2023).