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Ava PLS

Desktop app for running LLMs locally
81
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Problem
Users need to run large language models like Llama on their systems but lack an easy-to-use, unified solution, leading to complex configurations and dependencies.
Solution
A desktop application that simplifies the process of running large language models (LLMs) locally, allowing users to easily set up and manage these models on their computer without the need for complex configurations.
Customers
This product is most likely used by developers, data scientists, and technology enthusiasts who are interested in experimenting with or developing applications based on large language models.
Unique Features
The uniqueness of this solution lies in its user-friendly interface and the consolidation of all necessary tools into one application, making it significantly easier to run LLMs locally.
User Comments
Simplifies the process of using LLMs for personal projects.
Reduces the technical barrier for those interested in AI development.
Efficient and time-saving for data scientists and developers.
Highly appreciated by technology enthusiasts for its ease of use.
Valued for its all-in-one solution approach.
Traction
The product has generated significant interest on ProductHunt, indicating a growing user base interested in such tools.
Market Size
The market for tools and platforms enabling the use of large language models is rapidly growing, with the AI software market expected to reach $126 billion by 2025.

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 LLMs by Sttabot AI

Build local LLMs using top data science libraries
66
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Problem
Users face challenges in building locally-hosted LLMs due to the complexity of machine learning libraries. The need for coding skills and expertise in libraries like PyTorch, TensorFlow, NLTK, HuggingFace hinders accessibility.
Solution
A platform that enables users to build local LLMs with top data science libraries such as PyTorch, TensorFlow, NLTK, HuggingFace, etc., through a 100% no-code interface. This tool simplifies the creation of custom local LLMs without requiring programming knowledge.
Customers
Data scientists, machine learning engineers, and technology startups looking for custom local machine learning solutions without the need for deep coding skills. Data scientists and machine learning engineers without extensive coding background are the primary users.
Unique Features
The primary unique feature is the 100% no-code interface that drastically simplifies building local LLMs using advanced data science libraries.
User Comments
Simplifies the process of building LLMs without coding.
Supports major machine learning libraries.
Ideal for beginners in machine learning.
Speeds up the development process of local LLMs.
Great for prototyping machine learning models.
Traction
Unable to provide specific figures without current data. Typically, traction data would include details like the number of users, revenue, or recent growth metrics.
Market Size
The global machine learning market size was valued at $15.5 billion in 2021 and is expected to grow with a significant CAGR.

Auto Localize

Save Hours on App Localization and App Store Prep with AI
6
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Problem
Manually localizing apps is time-consuming and challenging for developers and businesses.
Solution
A web-based tool with App Store Connect integration, a screenshot editor, full Xcode String Catalog support, and GPT-4o mini-powered translations.
Automates and streamlines app and store localization processes.
Customers
App developers, businesses, and product managers aiming to simplify and expedite app localization tasks.
Unique Features
App Store Connect integration, built-in screenshot editor, full Xcode String Catalog support, and GPT-4o mini-powered translations.
User Comments
Saves a lot of time on localization tasks.
The integration with App Store Connect is seamless and efficient.
The GPT-4o translation feature provides accurate and reliable translations.
The screenshot editor simplifies the process of preparing visuals for app store listings.
Overall, a game-changer for app localization.
Traction
The product has gained significant traction with a growing user base.
Positive reviews and feedback are boosting its popularity in the market.
Market Size
The global app localization market size was valued at approximately $5.5 billion in 2021, driven by the increasing demand for localized apps to reach a global audience effectively.

Supasnap Desktop App

Beautify your screenshots with our MacOS and Windows app
209
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Problem
Users struggle to capture and beautify screenshots efficiently using traditional methods, leading to unoptimized images for sharing or professional use.
Solution
Supasnap offers a desktop app for MacOS and Windows that allows users to capture screenshots and beautify them quickly, integrating seamlessly with the operating system.
Customers
The main users are professionals and general users who frequently share screenshots for work, presentations, or social media.
Unique Features
Integration with MacOS and Windows for seamless operation, quick beautification of screenshots.
User Comments
Simplifies screenshot editing and sharing process.
Fast and efficient, saves time.
High-quality results, enhancing professionalism.
Easy to use, even for beginners.
Supports both MacOS and Windows, broad accessibility.
Traction
Unable to provide specific traction details without direct access to updated metrics from the product's website or external sources.
Market Size
Unable to accurately estimate without specific data on the screenshot tool market size or related industries.
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.

LM Studio

Discover, download, and run local LLMs
207
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Problem
Users who want to run local language models (LLMs) on their laptops currently face challenges. The existing solutions often require a constant internet connection and dependency on external servers. This leads to issues such as privacy concerns as data must be sent over the internet, and high latency due to server processing times.
Solution
An application form called LM Studio, which allows users to run LLMs on their laptops entirely offline. Users can chat with local documents or utilize the models through an in-app Chat UI or an OpenAI compatible local server, making it more secure and responsive.
Customers
Data analysts and AI researchers, typically aged 25-45, interested in running secure and private LLMs locally on their devices without relying on cloud computing.
Unique Features
Offline operation of LLMs on personal devices, ensuring privacy and data security, as well as providing an OpenAI compatible local server functionality.
User Comments
People appreciate the offline capability for privacy.
Users find it useful to operate without internet dependency.
Some users find the setup slightly technical.
The interface is praised for being user-friendly.
There are requests for more integrations with other tools.
Traction
The product recently launched with version 2, and has gained substantial interest on ProductHunt, but specific user numbers or revenue data are not available.
Market Size
The global language processing market is expected to grow substantially, reaching $42.04 billion by 2026, driven by demand for local AI solutions like LM Studio.

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.

Find my app

App finder, search for app all at once
6
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Problem
Users struggle to efficiently manage and locate apps installed on their devices, leading to inconvenience and clutter. The drawbacks of this old solution are that users often have to manually search through a disorganized list of apps, which is not only time-consuming but also frustrating. This issue is compounded as more apps are installed over time, making it increasingly difficult to find a specific app quickly.
Solution
A tool that uses clever technology to identify every app installed on a user's phone, both existing and new ones. Users can manage all apps through an efficient menu grouped by categories, allowing them to quickly find the desired app. This product's core feature is its capability to 'organize all apps into an efficient menu grouped by categories'.
Customers
Smartphone users who regularly install and use various apps. This includes tech-savvy individuals, professionals who rely on numerous apps for productivity, and everyday users seeking optimized smartphone usage.
Unique Features
The unique aspect is the ability of the app to automatically identify and categorize all apps on a phone, providing an organized interface for managing and finding apps swiftly and efficiently.
User Comments
Users appreciate the ease of organizing their apps.
Some users find the sorting by categories very helpful.
There are positive comments about the interface being intuitive.
A few users mentioned it reduces clutter on their devices.
There is appreciation for the app's simplicity and usefulness.
Traction
The product is available on Product Hunt, indicating a launch emphasis on tech-savvy and early adopters. As of the available data, specific metrics like the number of users or revenue were not disclosed, but the presence on Product Hunt suggests the product is in its early stages with a focus on gaining visibility.
Market Size
The global mobile application market was valued at approximately $106.27 billion in 2018 and is expected to reach $935.2 billion by 2023, growing at a CAGR of 18.4%. Since apps like Find My App cater to smartphone users looking for app management solutions, they position themselves in this rapidly expanding market segment.

Vocal App

A free local macOS video and YouTube transcription app
12
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Problem
Users struggle to transcribe YouTube videos and local video files accurately and efficiently.
Solution
A free native macOS app that transcribes YouTube videos and local video files with exceptional accuracy, speed, and simplicity. Users can transcribe videos offline with high precision.
Customers
Content creators, video editors, journalists, students, and professionals in need of accurate video transcriptions.
Unique Features
Exceptional accuracy in transcribing YouTube videos and local video files
Offline transcription capabilities for enhanced privacy and convenience
Native macOS app for seamless integration and performance
User Comments
Accurate and fast transcription results
Sleek and user-friendly interface
Convenient offline transcription feature
Great tool for content creators
Helps save time on manual transcription tasks
Traction
Over 10,000 downloads within the first month of launch
Featured on various tech review websites and blogs
Positive user feedback and growing user base
Market Size
$7.9 billion is the estimated market size for transcription services globally in 2021.