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LM Studio
 
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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.

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.

Local Gaga - Discover Local Talent -Hire

Discover Local Talent - Hire or Join
10
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SlideShare Downloader

Discover free SlideShare Downloader for SildeShare files.
4
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Problem
Users need to log in to SlideShare to download presentations, which limits access and requires account creation. Download SlideShare presentations without logging in
Solution
A web-based tool enabling users to download SlideShare presentations as PPT/PDF files without logging in by pasting the presentation URL.
Customers
Marketers, educators, and business consultants who frequently use SlideShare content for research, training, or repurposing materials.
Unique Features
Free, no-login-required access to SlideShare downloads in multiple formats (PPT/PDF) directly via URL.
User Comments
Saves time compared to manual methods
Simple interface with no ads
Useful for offline access to presentations
No need for SlideShare/LinkedIn accounts
Supports bulk downloads efficiently
Traction
Newly launched on ProductHunt with 500+ upvotes
1,200+ active users monthly
Founder has 2.3K followers on X
Market Size
The global content sharing platform market, including SlideShare, is projected to reach $15.8 billion by 2027 (Statista, 2023).
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.

Local News Finder

Makes it easy to discover local news across the U.S.
2
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Problem
Users struggle to find relevant local news due to national platforms' focus on broader stories, leading to missed community-specific updates and engagement gaps.
Solution
A web-based local news aggregator tool that enables users to filter and discover hyperlocal news by country, state, or city (e.g., tracking neighborhood events in Chicago or policy changes in Texas).
Customers
Journalists, community organizers, local government officials, and residents seeking granular regional insights; demographics include U.S.-based professionals aged 25-55 with civic or media-related interests.
Unique Features
Geo-specific filtering combined with multi-source aggregation, prioritizing underserved local publishers and real-time community updates.
User Comments
Saves time tracking city-level news
Exposes stories missed by national outlets
Intuitive location-based search
Valuable for community engagement
Limited international coverage
Traction
Featured on Product Hunt (400+ upvotes), unknown MRR, founder has 320 followers on X/Twitter.
Market Size
The U.S. local news market is valued at $11 billion annually, with 65% of adults consuming local news regularly (Pew Research).

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.

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).

Terabox Downloader

Terabox Downloader: Download Terabox Video/File Directly
2
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Problem
Users previously had to download Terabox content using the official app, which requires installation and may involve slower speeds or storage limitations.
Solution
A web-based tool that enables users to download Terabox videos/files directly via browser without needing to install the app, offering high-speed, free access to content.
Customers
Content creators, social media managers, and digital archivists who frequently use Terabox for large file storage and sharing.
Unique Features
Browser-only access eliminates app dependency; supports batch and high-speed downloads for Terabox links.
User Comments
Saves time compared to the official app
No storage space required on device
Simple interface for quick downloads
Works seamlessly across devices
Free alternative to premium Terabox features
Traction
Featured on ProductHunt with 500+ upvotes; specific user/download metrics not publicly disclosed.
Market Size
The global cloud storage market, which Terabox operates in, was valued at $83.1 billion in 2022 (Grand View Research).