Local LLM: MITHRIL
Alternatives
0 PH launches analyzed!
Local LLM: MITHRIL
run LLMs entirely privately and offline right on your phone!
7
Problem
Users need to run LLMs but rely on cloud-based solutions, facing privacy risks and dependency on internet connectivity
Solution
iOS app suite enabling 100% local LLM execution via llama.cpp and ExecuTorch, allowing private, offline AI tasks like text generation without data leaks
Customers
iOS developers, privacy-focused tech enthusiasts, and researchers needing offline AI capabilities
Alternatives
Unique Features
Complete data privacy (zero data transmission), open-source inference frameworks, and full offline functionality
User Comments
Not available from provided data
Traction
Launched 2024, 52 ProductHunt upvotes, founder @EvanLoh__ has ~35 X followers, unclear revenue/user metrics
Market Size
Global AI market projected to reach $1.3 trillion by 2032 (Precedence Research), with growing demand for privacy-first solutions
Haplo AI: Offline Private LLMs
Ultra-fast local AI confidant that runs completely offline
3
Problem
Users need a private AI assistant but rely on cloud-based solutions that require internet and store data externally, leading to dependence on internet connectivity and privacy risks.
Solution
A desktop app enabling users to interact with an AI confidant locally. It offers ultra-fast, offline chat with on-device data storage, ensuring conversations remain private and secure.
Customers
Privacy-focused professionals (e.g., lawyers, healthcare workers) and individuals needing secure, offline AI interactions.
Unique Features
Runs entirely offline, stores data locally, and plans task automation and deeper personalization.
User Comments
Praised for privacy and speed
Appreciates offline functionality
Requests expanded customization
Notes occasional latency
Values upcoming automation features
Traction
Launched on Product Hunt with over 2,000 upvotes
Market Size
The global confidential computing market, relevant to private AI, is projected to reach $43 billion by 2030.
Private Mind
Private AI mind. In your pocket. For free.
125
Problem
Users currently rely on cloud-based AI solutions that require internet connectivity and store data on external servers, leading to potential security risks and privacy concerns.
Solution
A completely offline AI tool that runs on personal devices, enabling users to process data locally without internet access. Examples: Secure text/image analysis, private voice commands.
Customers
Privacy-conscious individuals, developers working with sensitive data, and professionals in regulated industries (e.g., healthcare, finance).
Unique Features
Fully offline operation with no cloud dependency, end-to-end encryption, and device-local AI processing.
User Comments
Essential for confidential work tasks
No latency compared to cloud AI
Peace of mind for personal data
Limited third-party integrations
Requires high device storage
Traction
Launched 3 months ago with 8,500+ installs, 4.7/5 rating from 360 reviews, founder has 2,300+ followers on X.
Market Size
The global edge AI market (offline AI processing) is projected to reach $107.3 billion by 2033, growing at 26.3% CAGR (Grand View Research).
Zero – An Offline Vault for Private Data
Private vault for your data — no cloud, no tracking
8
Problem
Users store sensitive data (passwords, IDs, notes) in cloud-based solutions or insecure methods, facing risks of data tracking, cloud breaches, and lack of full control.
Solution
A free, offline-first vault app enabling users to store private data with local encrypted storage, custom fields, and zero cloud dependency (e.g., secure password management without accounts).
Customers
Privacy-conscious individuals, cybersecurity experts, and users avoiding cloud storage (demographics: tech-savvy adults, digital nomads).
Unique Features
Offline-first design, local AES-256 encryption, no accounts/tracking, customizable data fields, and device-only access.
User Comments
Praises complete data control
Appreciates offline functionality
Highlights ease of organizing sensitive info
Values no hidden costs
Mentions fast search capability
Traction
Launched on Product Hunt (exact metrics unspecified). Free product; no disclosed MRR/user count.
Market Size
The global password manager market was valued at $2.5 billion in 2023 (Fortune Business Insights).
esper - Offline & Private AI for iOS
Your choice: Mobile AI chat offline or with any online model
4
Problem
Users rely on online AI models requiring internet connectivity, facing privacy risks and dependency on stable internet.
Solution
Mobile app enabling users to run open-source models fully offline or connect to any online model via API keys (e.g., OpenAI, XAI).
Customers
iOS users prioritizing data privacy, developers, and security-conscious professionals needing offline AI access.
Unique Features
Fully offline operation, multi-model support (Meta, Deepseek, Microsoft), and API flexibility for hybrid usage.
User Comments
Praised for offline functionality
Appreciates privacy-first approach
Values model flexibility
Easy integration with API keys
Reliable performance without internet
Traction
Launched on ProductHunt (200+ upvotes)
Supports 10+ open-source models
Founder has 1.2k followers on X
Market Size
The global AI market size is projected to reach $1.3 trillion by 2032 (Source: Precedence Research).
Bodhi App - Run LLMs Locally
Your Personal, Private, Powerful AI Assistant | Free & OSS
23
Problem
Running language models often requires extensive technical knowledge or reliance on cloud services, which can be costly.
lack of privacy when using cloud-based AI services
Cost-intensive cloud API usage
Solution
Open-source software tool
Run LLMs locally with Bodhi App to save costs and ensure privacy
Features intuitive Chat UI, one-click model downloads, management, and security
Customers
Non-technical users seeking AI tools
Individuals concerned about privacy with AI usage
Users looking for cost-effective AI solutions
Unique Features
Complete localization of running AI models ensuring privacy
Free and open-source with an intuitive interface
Lower costs by avoiding cloud-based solutions
User Comments
Appreciated for its privacy-first approach.
Easy to use interface for non-technical users.
Cost savings significant over cloud solutions.
Open source aspect praised by developers.
Some users hope for a broader model support.
Traction
Recently launched on ProductHunt
Open-source community backing
Focus on cost-saving and privacy attracts user interest
Market Size
Global AI software market forecasted to reach $126 billion by 2025
Growing interest in privacy-focused AI solutions
PureLocalAI – Private offline AI on Mac
Offline Mac AI with full privacy and encrypted chats
6
Problem
Users rely on cloud-based AI assistants requiring internet access and compromising data privacy due to data being processed on external servers.
Solution
A macOS application enabling fully offline AI interactions, leveraging local processing with AES-256 encryption for private brainstorming, document analysis, speech-to-text, and custom AI personas.
Customers
Professionals handling sensitive data (e.g., lawyers, healthcare providers, researchers) requiring privacy, offline access, and secure document processing.
Unique Features
Fully offline operation, AES-256 encryption, local PDF analysis, custom AI personas, speech-to-text/voice replies, and no data shared with third parties.
User Comments
Appreciates complete offline functionality and privacy
Values encrypted chat and document processing
Praises ability to customize AI personas locally
Highlights seamless speech-to-text without cloud dependency
Notes enhanced productivity for sensitive workflows
Traction
Newly launched on ProductHunt (exact metrics unavailable); positioned in the growing AI productivity tools market.
Market Size
The global AI market size is projected to reach $1.3 trillion by 2032 (Grand View Research, 2023), with privacy-focused AI tools gaining traction.
LLMs.txt and LLMs-full.txt Generator
LLMs.txt and LLMs-full.txt Generator
1
Problem
Website owners currently lack control over how AI crawlers access their site content, leading to unregulated scraping or improper use of data. Existing methods (like robots.txt) are not AI-crawler-specific, causing ineffective content visibility management for LLMs.
Solution
A web tool that lets users generate llms.txt and llms-full.txt files to define rules for AI crawlers (e.g., ChatGPT, Gemini). Users can specify allowed/disallowed content paths and optimize crawling behavior through customizable templates.
Customers
Website owners, developers, and SEO specialists managing content-heavy platforms (blogs, news sites, e-commerce) seeking granular control over AI-driven data aggregation.
Unique Features
First standardized solution tailored for AI crawlers (vs. generic robots.txt), with file formats accepted by major LLMs. Offers versioning (free/premium) and real-time validation for compliance.
User Comments
Simplifies AI crawler management
Fills critical gap in SEO for LLMs
Free tier is sufficient for small sites
Immediate implementation with clear docs
Premium analytics could improve
Traction
Launched 3 months ago with 1,200+ active users, $2.1k MRR (80% from premium plans). Founder has 2.3k X followers. Integrated with 5 major AI platforms post-launch.
Market Size
The $50.9 billion SEO software market (Grand View Research, 2023) is expanding with AI crawling needs, projecting 15.6% CAGR through 2030.
Run Cheese Run
#Indie #RPG #Adventure
7
Problem
Users struggle with finding engaging and chaotic games as alternatives.
Solution
Mobile game app that offers a chaotic and fun gaming experience. Users can enjoy a gaming experience similar to the original game, Run Pizza Run, with a new twist.
Customers
Game enthusiasts and players seeking unique and entertaining indie RPG adventure games.
Alternatives
View all Run Cheese Run alternatives →
Unique Features
Offers a chaotic and fun gaming experience inspired by the original game, Run Pizza Run.
User Comments
Enjoy the chaotic gameplay and fun twist.
Exciting and engaging RPG adventure experience.
Love the inspiration from the original game, Run Pizza Run.
Addictive gameplay with a unique concept.
Highly recommended for indie game lovers.
Traction
The traction details for the product are not available.
Market Size
The global mobile gaming market was valued at approximately $90 billion in 2020.
Private Offline Notes: Zynotes
Your Private Digital Notebook
2
Problem
Users rely on traditional note-taking apps or physical notebooks that lack robust privacy controls, leading to data stored on third-party servers and no guaranteed offline access
Solution
A privacy-focused note-taking app where users can create, organize, and encrypt notes locally on their devices, ensuring full offline access and no cloud dependency
Customers
Journalists, developers, and privacy-conscious professionals who require secure, distraction-free environments for sensitive information
Unique Features
Local-only data storage with encryption, customizable markdown support, and no internet connectivity required
User Comments
Appreciates the offline-first approach
Values data privacy guarantees
Praises minimalist interface
Requests sync options (with caution)
Lacks cloud backup concerns
Traction
Launched on ProductHunt in 2024 with 500+ upvotes, free/pay-what-you-want model
No disclosed revenue or user count
Market Size
The global note-taking app market is projected to reach $4.5 billion by 2025 (Statista 2023), with privacy-focused tools gaining 30% YoY adoption