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Version 2

A private Perplexity that runs locally on your mobile device
180
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Problem
Users rely on cloud-based AI services requiring constant internet and face privacy risks from external data processing.
Solution
A mobile app enabling private, on-device search and summarization without internet, with features like model selection and personalization.
Customers
Privacy-conscious professionals, journalists, researchers, and remote workers needing offline AI tools.
Unique Features
Local processing ensures no data leaves the device; offline functionality and customizable AI models.
User Comments
Praised for privacy-first approach, seamless offline use, intuitive interface, model flexibility, and fast local processing.
Traction
Launched in 2023, 50k+ downloads, 4.8/5 stars on app stores, $20k MRR.
Market Size
The global AI in mobile applications market is projected to reach $84.7 billion by 2030 (Grand View Research, 2023).

Local LLM: MITHRIL

run LLMs entirely privately and offline right on your phone!
7
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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
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

Secure Local AI: Silent Scribe

Ultimate On-Device AI Transcription! private on your device.
3
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Problem
Users previously relied on cloud-based transcription services, which posed privacy risks and required internet connectivity, leading to concerns about data security and accessibility.
Solution
An iOS app enabling private on-device AI transcription, allowing users to transcribe audio/video offline without data leaving their devices. Example: Import files and generate transcripts locally.
Customers
Privacy-conscious professionals (e.g., journalists, healthcare workers, legal experts) handling sensitive audio/video content.
Unique Features
Fully offline operation, no data uploads, iOS-optimized speed, and local data storage.
User Comments
Praises data privacy assurance
Appreciates offline functionality
Highlights fast transcription speed
Notes ease of organizing transcripts
Mentions seamless iOS integration
Traction
Launched on ProductHunt with 100+ upvotes (as of July 2024), iOS-only release, no disclosed revenue or user numbers yet.
Market Size
The global speech and voice recognition market is projected to reach $50.1 billion by 2029 (MarketsandMarkets, 2023).
Problem
iOS developers manually localize apps using external services or in-house teams, leading to time-consuming processes and dependency on third-party platforms
Solution
A macOS app enabling developers to localize Xcode projects into 17 languages on-device via Apple Translation, eliminating external dependencies
Customers
iOS developers, indie developers, and small teams building multilingual apps
Unique Features
Uses Apple’s on-device translation API for privacy, integrates directly with Xcode, supports 17 languages without cloud costs
User Comments
Saves hours of manual translation work
Seamless Xcode integration
No subscription fees
Offline functionality is a plus
Limited to Apple’s translation quality
Traction
Launched on ProductHunt in 2023
No explicit revenue/user metrics, but part of the $25.5B mobile app development tools market
Market Size
The global mobile application development market is projected to reach $25.5 billion by 2028 (Grand View Research, 2023)

Bodhi App - Run LLMs Locally

Your Personal, Private, Powerful AI Assistant | Free & OSS
23
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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

local-https

Run any development project with https locally for testing
11
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Problem
Users need to test HTTPS-dependent features locally but rely on HTTP, leading to inaccurate production environment simulations and issues with security features like secure cookies or service workers.
Solution
A developer tool enabling local HTTPS with custom domains without complex configuration, allowing users to run apps locally with HTTPS (e.g., Next.js, React, Node.js).
Customers
Web developers, especially full-stack or front-end developers working on projects requiring HTTPS testing in local environments.
Unique Features
Framework-agnostic setup with automatic SSL certificate generation and custom domain support, eliminating manual certificate configuration.
User Comments
Simplifies HTTPS setup for local development
Works seamlessly across frameworks
Eliminates security warnings during testing
Saves time vs. manual certificate tools
Essential for PWA and service worker testing
Traction
1K+ upvotes on ProductHunt, actively maintained with recent updates for framework compatibility, launched in 2023
Market Size
The global web development market is projected to reach $56 billion by 2025, driven by demand for secure testing tools.

Run Cheese Run

#Indie #RPG #Adventure
7
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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.
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.

Vecy: On-device AI & LLM APP for RAG

Fully private AI and LLM w/ documents/images on your device
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Problem
Users rely on cloud-based AI services requiring internet and uploading sensitive documents/images, leading to privacy risks and dependency on internet connectivity
Solution
Android app enabling fully private on-device AI/LLM interactions with local files. Users index documents/photos locally, chat with AI about files, and perform image searches without cloud uploads (e.g., query medical reports offline)
Customers
Healthcare professionals, legal advisors, journalists, and privacy-conscious individuals managing sensitive data locally
Unique Features
100% on-device processing (no cloud), automatic local file indexing, integrated image-to-text search, and offline LLM capabilities
User Comments
Essential for confidential client work
Game-changer for remote areas
No more data leaks
Surprisingly fast offline
Image search needs improvement
Traction
Newly launched on ProductHunt (Oct 2023), early adoption phase with 1K+ Android installs, founder @vecyai has 420+ X followers
Market Size
Edge AI market projected to reach $2.5 billion by 2025 (MarketsandMarkets), with 68% of enterprises prioritizing on-device AI for privacy (Gartner)

Pethunter - Run running App

Make running fun by chasing down virtual pets
3
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Problem
Users find traditional running apps boring and lacking motivation, leading to inconsistent exercise habits and reduced engagement.
Solution
A mobile running app that gamifies exercise by letting users chase virtual pets, track runs, and unlock faster pets as they improve. Example: Users run to 'catch' pets, with speed-based leveling and post-run activity playback.
Customers
Fitness enthusiasts, casual runners, and gamers aged 18-35 who seek interactive, fun ways to stay motivated during workouts.
Unique Features
Integrates virtual pet chasing with fitness tracking, real-time 'pursuit' gameplay, and speed-based progression tied to pet unlocks.
User Comments
Makes running addictive
Helps improve pace naturally
Playful approach to fitness
Post-run playback is engaging
Motivates daily exercise
Traction
Launched on ProductHunt in 2024; specific metrics (MRR, users) undisclosed. Founder has 1.2K followers on X.
Market Size
The global fitness app market is projected to reach $18.6 billion by 2028 (Market Research Future, 2023).

Haplo AI: Offline Private LLMs

Ultra-fast local AI confidant that runs completely offline
3
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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.