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AI ID

Your Context In Every AI
7
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Problem
Users manually input personal context into each AI tool (ChatGPT, Claude, etc.) individually, leading to inefficiency and inconsistent personalization across platforms.
Solution
A browser extension/tool that automatically shares personal context (preferences, history, etc.) across multiple AI platforms, enabling seamless, personalized interactions with tools like ChatGPT, Claude, and Meta AI.
Customers
Developers, data scientists, content creators, and professionals who regularly use multiple AI tools and require consistent personalization.
Unique Features
Cross-platform compatibility (integrates with ChatGPT, Claude, Grok, etc.) and real-time context synchronization without manual input.
User Comments
Saves time by eliminating repetitive setup
Enhances AI responses with consistent context
Easy integration with favorite tools
Privacy concerns about data sharing
Initial setup could be simpler
Traction
Launched 1 month ago on Product Hunt
250+ upvotes on Product Hunt
Active promotion via founder’s social media (exact follower count not specified)
Market Size
The global AI personalization market is projected to reach $1.3 trillion by 2032 (Precedence Research, 2023).

AI Context Vault

Context-aware AI for every site, every prompt.
4
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Problem
Users must manually enter context for each prompt when interacting with multiple AI models, leading to time-consuming and inconsistent interactions across platforms like ChatGPT and Gemini.
Solution
A browser extension/vault tool that allows users to save and inject context, persona, and language preferences into any AI chat. Examples: Syncing via GitHub, accessing 150K+ structured prompts, and applying pre-saved settings to Claude/ChatGPT/Gemini.
Customers
Developers, content creators, and researchers who interact with multiple LLMs regularly and need consistent context management.
Unique Features
GitHub/local sync for context storage, persona/language presets, and a curated library of 150K+ pre-structured prompts compatible with major LLMs.
User Comments
Saves hours on repetitive context setup
GitHub integration streamlines workflow
Prompt library enhances productivity
Cross-LLM consistency is a game-changer
Local sync ensures privacy control
Traction
Features integration with Claude, ChatGPT, Gemini; hosts 150K+ prompts; launched on ProductHunt with GitHub sync capability (specific user/revenue metrics not publicly disclosed).
Market Size
The global AI market is projected to reach $1.3 trillion by 2030 (Grand View Research), with enterprise LLM adoption growing at 65% CAGR, indicating strong demand for context optimization tools.

AI Context Flow

Reusable AI Memory for Smarter Prompts Anywhere
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Problem
Users manually input the same context repeatedly across different AI platforms like ChatGPT, Claude, and Gemini, leading to inefficiency and wasted time.
Solution
A browser extension tool that allows users to save reusable AI memory (context) once and apply it seamlessly across multiple AI platforms, eliminating repetitive input. Examples: Pre-set project guidelines, personal preferences, or workflow steps applied automatically in ChatGPT, Claude, etc.
Customers
Professionals and teams (data analysts, marketers, developers) who regularly use multiple AI tools and need consistent context inputs.
Unique Features
Cross-platform reusable memory storage, one-time setup for context, automatic integration with popular AI tools.
User Comments
Saves hours weekly
Simplifies multi-tool workflows
Reduces copy-paste frustration
Improves AI output consistency
Easy browser integration
Traction
Launched 2 months ago
600+ upvotes on Product Hunt
No disclosed MRR/user count
Positioned to address a pain point affecting over 1 billion users (as per product description)
Market Size
The global AI market is projected to reach $1.35 trillion by 2030 (Grand View Research), with productivity tools for AI users representing a significant subset.
Problem
Users struggle to find suitable AI tools for their specific needs, leading to inefficiencies and difficulty in exploring alternatives.
Solution
A platform with a tool finder that allows users to discover, upvote, favorite AI tools, create collections, and share them publicly.
Customers
AI enthusiasts, developers, businesses, and researchers seeking specific AI tools for various purposes.
Unique Features
Users can directly find alternative AI tools, upvote, favorite, organize tools into collections, and share them with the community, enabling efficient tool discovery and exploration.
Market Size
The global artificial intelligence market size was valued at $62.35 billion in 2020 and is projected to reach $733.7 billion by 2027, with a CAGR of 42.2% during the forecast period.

Every AI

Artificial Intelligence, Every AI, EveryAI Review 2025,
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Problem
Users need to switch between multiple AI tools for different tasks, leading to inefficient workflows, high costs from multiple subscriptions, and time wasted managing disparate platforms.
Solution
A centralized AI tools dashboard where users can access 350+ AI tools in one platform, such as text generation, image editing, and code assistance, consolidating multiple AI needs into a single subscription.
Customers
Developers, marketers, product managers, startup founders, and content creators seeking streamlined access to diverse AI capabilities.
Unique Features
All-in-one platform with 350+ curated AI tools, unified pricing, and a centralized workflow for cross-functional AI tasks.
User Comments
Saves time switching tools
Cost-effective compared to individual subscriptions
Steep learning curve for new users
Occasional tool performance issues
Highly versatile for multitasking
Traction
Launched on ProductHunt with 1.2k+ upvotes (as of 2024)
Growing user base due to aggregation model
Specific revenue/MRR undisclosed publicly.
Market Size
The global AI market is projected to reach $1.3 trillion by 2032 (Grand View Research, 2023), with AI tool aggregators capturing a growing niche segment.

FingoChat.ai

AI Coding Assistant with MCP Context Engineering built in
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Problem
Users struggle with generic AI coding tools lacking context-aware customization, leading to inefficient code generation and slower development cycles.
Solution
An AI coding assistant with MCP Context Engineering that lets users create custom coding agents in seconds via a simple interface (e.g., tailoring AI to specific project requirements).
Customers
Software developers, coding professionals, and tech teams seeking AI-powered productivity boosts for complex projects.
Unique Features
MCP Context Engineering enables rapid customization of AI agents for project-specific coding tasks without advanced technical setup.
User Comments
Saves time on repetitive coding tasks
Improves code quality with context-aware suggestions
Easy to integrate into workflows
Useful for full-stack development
Reduces debugging effort
Traction
Newly launched with 500+ upvotes on ProductHunt
Used by 50+ developer teams (as per website)
Founder has 1.2K followers on LinkedIn
Market Size
The global AI in software development market is projected to reach $2.7 billion by 2025 (MarketsandMarkets, 2023).

Falco-AI "Your Smart AI Assistant"

Falco AI — AI That Works Anywhere, No Connection Needed.
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Problem
Users rely on online-only AI tools requiring constant internet connectivity, facing dependency on internet connectivity and potential security risks with data processed online.
Solution
A hybrid AI desktop tool (Phi-3 model by Microsoft) enabling users to access AI capabilities both online and offline, ensuring fast, secure, and platform-agnostic performance for professional and basic tasks.
Customers
Professionals in healthcare, finance, legal sectors requiring offline access and data security; general users in low-connectivity regions.
Unique Features
Offline functionality via Microsoft’s lightweight Phi-3 model, hybrid operation (online/offline), and local data processing for enhanced security.
User Comments
Works seamlessly without internet
Fast response times
Secure for sensitive tasks
Versatile for professional use
Easy PC integration
Traction
Launched on ProductHunt (exact metrics unspecified); leverages Microsoft’s Phi-3 model (optimized for local deployment).
Market Size
The global AI market is projected to reach $1.85 trillion by 2030 (Grand View Research), with hybrid AI tools targeting enterprises contributing significantly.

AI Plans - Document AI Development

Track every AI-assisted coding decision in version control
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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).

liveprompt.ai

Your AI copilot for every conversation
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Problem
Users rely on manual preparation (notes, scripts) for conversations in sales, interviews, or meetings, lacking real-time, context-aware guidance, leading to lower confidence and adaptability.
Solution
A real-time conversation coaching tool that provides sub-2s, context-aware AI suggestions during live interactions (e.g., sales calls, interviews) via a mobile/web interface, offering tailored responses to improve dialogue outcomes.
Customers
Sales professionals (e.g., SDRs, account executives), job seekers, and professionals in client-facing roles needing real-time support to optimize communication.
Unique Features
Sub-2-second response time for seamless integration into live conversations; context-aware adaptability across diverse scenarios (sales, interviews, meetings).
User Comments
Enhances confidence in high-stakes conversations
Real-time suggestions feel natural and actionable
Reduces preparation time for meetings
Improves negotiation outcomes in sales
Easy to use during live calls
Traction
Launched on ProductHunt with 200+ upvotes; founder has 1.2K+ followers on X; early-stage traction with 500+ active users as of 2024.
Market Size
The global sales coaching software market is projected to reach $2.3 billion by 2027 (MarketsandMarkets, 2023).

Multi-AI Chat Hub

Every AI Model. Switch models without losing context
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Problem
Users need to switch between multiple AI interfaces (e.g., GPT-4, Claude, Gemini) for different tasks, switching between multiple AI interfaces and losing context each time they switch models.
Solution
A unified chat interface where users can chat with multiple AI models through a single interface and seamlessly switch between them without losing context. Examples: Compare responses from GPT-4 and Claude in real-time.
Customers
Developers, data scientists, and tech professionals who require diverse AI model outputs for tasks like content generation, data analysis, and problem-solving.
Unique Features
Aggregates leading AI models (GPT-5, Claude, Mistral, etc.) into one platform with persistent chat history across all models.
User Comments
Saves time switching between AI tools
Simplifies comparing model outputs
Essential for AI-powered workflows
Intuitive interface for multi-model use
Context retention is a game-changer
Traction
Trending on ProductHunt with 1,200+ upvotes (as of 2023), integrated with 10+ AI models including GPT-5 and Claude 3.
Market Size
The global AI chatbot market is projected to reach $10.6 billion by 2026 (MarketsandMarkets, 2023).