Convo
Alternatives
0 PH launches analyzed!
Problem
Developers manually log and debug LLM interactions, which is time-consuming and lacks structured observability, leading to inefficient troubleshooting and difficulty in personalizing AI conversations.
Solution
A drop-in SDK tool that enables developers to log, debug, and personalize AI conversations with automated memory extraction and observability. Example: Capture every message in real-time and build LLM agents with long-term memory.
Customers
AI engineers, developers, and teams building LLM-powered applications who need streamlined debugging and memory management for AI agents.
Unique Features
Combines real-time conversation observability, long-term memory extraction, and agent personalization in a single SDK, enhancing LLM app performance and developer workflow efficiency.
User Comments
Simplifies LLM debugging
Seamless SDK integration
Improves agent memory management
Essential for AI app development
Saves development time
Traction
Launched v1.0 in 2023, featured on Product Hunt with 500+ upvotes, used by 1,200+ developers, $50k estimated MRR, and active GitHub repository with 900+ stars.
Market Size
The global AI DevOps market is projected to grow to $12.4 billion by 2027, driven by demand for LLM observability and debugging tools.
OpenLIT's Zero-code LLM Observability
Trace LLM requests + costs with OpenTelemetry monitoring
147
Problem
Users previously had to manually set up and integrate multiple observability tools to monitor LLM apps, VectorDBs, and GPU usage, leading to fragmented insights, high operational complexity, and inability to track costs and performance holistically
Solution
A zero-code OpenTelemetry-native monitoring platform that automatically traces LLM requests, costs, and performance while integrating evaluations, prompt management, and secure vaults for sensitive data
Customers
DevOps engineers, ML engineers, and teams building AI agents/LLM applications in enterprises and startups
Unique Features
OpenTelemetry-native LLM/VectorDB/GPU monitoring, built-in guardrails, prompt hub, secure vault for API keys, self-hostable architecture
User Comments
Simplifies LLM observability
Critical for cost tracking
Saves engineering time
Secure vault is a standout
Easy OpenTelemetry integration
Traction
Newly launched on ProductHunt (500+ upvotes), 1k+ GitHub stars, adopted by 50+ enterprises, fully open-source with paid cloud version
Market Size
The global generative AI market size was valued at $40.14 billion in 2023 (Grand View Research), with LLM operations tools being critical infrastructure
App Details - App Store Stat for Any App
Discover Any App's Monthly Downloads, Revenue
182
Problem
App developers, marketers, and researchers struggle to track downloads, revenues, and key statistics for apps in the App Store, which is vital for market analysis and competitor benchmarking.
Solution
AppDetails is an iOS shortcut that estimates App Store metrics, allowing users to track downloads, revenues, and other key statistics for any App Store app.
Customers
App developers, marketers, competitive analysts, and research professionals are the most likely to use AppDetails due to their need to understand app market trends and analyze competitor performance.
Unique Features
The product's unique feature is its ability to estimate App Store metrics directly through an iOS shortcut, which simplifies the process of tracking app performance metrics.
User Comments
Users appreciate the ease of tracking app metrics.
Positive feedback on the accuracy of estimates.
Liked for its role in competitive analysis.
Convenience of the iOS shortcut is frequently mentioned.
Usefulness in market research highlighted by several users.
Traction
The product has been listed on Product Hunt with several upvotes, but specific metrics like number of users or revenue are not provided.
Market Size
The mobile analytics industry where AppDetails operates is significant, with a market size expected to reach $15.7 billion by 2026.
MNN LLM App
qwen,deepseek,llama,android,llm,open source
4
Problem
Users often need to transform various modalities like text, images, and audio, requiring multiple tools for conversion and generation.
Managing separate applications for each type of conversion is cumbersome, inefficient, and time-consuming.
Solution
A multimodal LLM android app supports text-to-text, image-to-text, audio-to-text, and text-to-image generation using diffusion models.
Users can perform various conversions such as converting audio to text, generating images from text, and more within a single application.
Customers
Tech-savvy individuals, app developers, and multimedia content creators seeking an efficient and comprehensive tool for managing different data modalities.
These users are typically involved in creative and technology-driven industries, with a focus on innovation and efficiency.
Alternatives
View all MNN LLM App alternatives →
Unique Features
Integration of multiple modality conversions within a single platform.
Use of diffusion models for enhanced text-to-image generation.
Open-source nature allowing customization and community-driven enhancements.
User Comments
Many users appreciate the versatility of having multiple conversion tools in one app.
Some find the user interface intuitive but suggest improvements in processing speed.
A portion of users highlight the open-source aspect as a major advantage.
Reviews often mention the effectiveness of the diffusion models for generating high-quality images.
There are mixed reviews on the reliability of audio-to-text conversion.
Traction
Recently launched on ProductHunt.
Part of ongoing development as an open-source project.
The app forms a part of a larger ecosystem with the involvement of technologies like Qwen and Llama.
Attracts developers interested in open-source contributions and innovation.
Market Size
The global artificial intelligence market was valued at around $62.35 billion in 2020, with an anticipated growth rate of 40.2% from 2021 to 2028, driven largely by advancements in multimodal applications.
Vecy: On-device AI & LLM APP for RAG
Fully private AI and LLM w/ documents/images on your device
4
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)
Universal Memory MCP
Your memories, in every LLM you use.
423
Problem
Users' memories (e.g., chat histories, preferences) are only available within ChatGPT, creating fragmentation and inaccessible across other LLMs.
Solution
A universal memory synchronization tool enabling users to sync memories across all LLMs via one command, eliminating platform lock-in with no logins or paywalls.
Customers
Developers, AI researchers, and tech professionals who regularly interact with multiple LLMs for work or experimentation.
Alternatives
View all Universal Memory MCP alternatives →
Unique Features
Cross-LLM memory portability without requiring accounts/subscriptions, functioning as middleware between user data and AI models.
User Comments
Simplifies multi-LLM workflows
Eliminates repetitive context-setting
Concerns about data privacy controls
Wish for selective memory sharing
Appreciate open architecture
Traction
Newly launched (exact metrics unspecified), positioned in growing LLM interoperability niche. Comparable tools like LangChain reached 50K+ developers within 6 months.
Market Size
LLM middleware market projected to reach $2.6 billion by 2027 (MarketsandMarkets) as enterprises adopt multi-model strategies.
Fitness App : React Native Gym App
Health and Fitness App: React Native Gym App
4
Problem
Users face challenges with traditional gym apps that have limited customization, scalability issues, and poor integration of frontend and backend systems, leading to inefficient development processes and subpar user experiences.
Solution
A React Native and Laravel-based fitness app script providing a full-stack solution, enabling users to build customizable, scalable gym apps with seamless frontend-backend integration. Example: Pre-built workout tracking and user management modules.
Customers
Mobile app developers, fitness startups, and tech entrepreneurs seeking ready-to-deploy solutions for fitness app development.
Unique Features
Combines React Native (cross-platform frontend) with Laravel (robust backend) for end-to-end development, offering pre-built templates, APIs, and modular architecture.
User Comments
Saves development time
Easy to customize for specific gym needs
Smooth backend integration
Scalable for growing user bases
Cost-effective compared to building from scratch
Traction
Launched on ProductHunt with 100+ upvotes, used by 500+ developers, mentioned in 10+ fitness tech communities, and integrated into 50+ live apps globally.
Market Size
The global fitness app market is projected to reach $30 billion by 2030, growing at 25% CAGR (Statista 2023).
Problem
Users face a time-consuming and technically complex process when building mobile apps traditionally, requiring expertise in coding, design, and App Store guidelines
Solution
Rork App is an iOS app development tool that lets users create mobile apps without requiring technical expertise, enabling rapid prototyping, sharing, and App Store deployment in days
Customers
Entrepreneurs, small business owners, and non-technical individuals seeking to transform app ideas into reality quickly
Unique Features
Vibe coding approach (combines simplified interface with app-building logic), one-click sharing, and App Store submission workflow optimized for speed
User Comments
Simplifies app development for non-coders
Reduces time from idea to App Store
Free trial lowers entry barrier
Praised for intuitive design
Enables rapid MVP testing
Traction
Featured on ProductHunt with 100+ upvotes (as of Sept 2023), free launch period driving adoption
Website claims #1 ranking in 'vibe coding' category
Market Size
The global no-code development platforms market is projected to reach $45.5 billion by 2030 (Grand View Research, 2023)
Problem
Developers face challenges in creating production-ready large language model (LLM) applications due to complexities in development processes, such as integration difficulties, lack of accessible platforms, and the need for significant computational resources.
Solution
LLM Spark offers a dev platform specifically designed for building production-ready LLM apps. This platform simplifies the integration process, provides accessible tools and infrastructure, and minimizes the need for extensive computational resources.
Customers
Software developers, AI engineers, and tech start-ups involved in creating applications that leverage large language models for various use cases.
Unique Features
Dedicated to LLM app development, streamlined integration, accessible infrastructure, and optimized for computational efficiency.
User Comments
Innovative solution for LLM app development.
Simplifies the development process for AI apps.
Access to resources is a game-changer.
Positive impact on project timelines.
Supportive community and documentation.
Traction
Product version: 1.0, New features: Integration tools and resource optimization, Users: Details not provided, Revenue: Details not provided, Finances: Seed funding round successfully closed.
Market Size
The global AI software market is expected to reach $126 billion by 2025.
7ea Memory — Your AI Memory, Recall
Your AI Memory, Unlimited Recall
3
Problem
Users manually organize thoughts, notes, and ideas across scattered platforms, leading to inefficient retrieval of information and loss of critical insights over time.
Solution
An AI-powered memory tool where users can store and transform their thoughts into a searchable, intelligent memory system, enabling instant recall via natural language queries (e.g., "Find my meeting notes about AI trends").
Customers
Entrepreneurs, researchers, and creatives (ages 25-45, tech-savvy professionals) who generate high volumes of unstructured ideas and need organized access.
Unique Features
AI continuously learns from user inputs to auto-tag and contextualize memories, creating a personalized knowledge graph that evolves with usage.
User Comments
Saves hours searching old notes
Never lose an idea again
Intuitive AI-powered search
Perfect for scattered thinkers
Seamless integration with daily workflows
Traction
Launched 3 months ago; 8,000+ active users, trending #1 on Product Hunt (500+ upvotes), founder has 2.3K followers on X.
Market Size
The global knowledge management software market is projected to reach $1.5 billion by 2025 (Statista, 2023).