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Alternatives
0 PH launches analyzed!
Problem
Developers working with LLMs face the issue of constant switching between their IDE and LLM testing sites, which consumes time and distracts from efficient workflow.
constant switching between their IDE and LLM testing sites
Solution
An extension in VS Code that integrates LLM prompt testing directly into the IDE.
integrates LLM prompt testing directly into the IDE
Customers
Software developers who frequently work with LLMs and seek a streamlined workflow for testing prompts and crafting complex function calls within VS Code.
Alternatives
Unique Features
Direct integration of prompt testing within a popular IDE like VS Code without the need for external sites.
User Comments
Users appreciate the seamless integration into VS Code.
The product reduces context-switching significantly.
It's valuable for developers working with LLMs.
Some find the tool very intuitive and easy to use.
Users feel it enhances their productivity.
Traction
Detailed traction data is not publicly available on the provided sources.
Market Size
The global AI software market is projected to grow from $62.3 billion in 2020 to $733.7 billion by 2027, with development tools constituting a significant segment.
AirCodum VS Code Remote Control
Mirror and use VS Code right from your phone!
11
Problem
Users traditionally rely on their desktops or laptops to use VS Code for coding, which limits their ability to code when away from their primary computer.
A drawback of this old situation is the inability to work efficiently on projects when not physically present at the workstation or while traveling, resulting in decreased productivity and flexibility.
Solution
An extension that allows users to mirror and use VS Code from their smartphone.
Users can connect their VS Code desktop instances to their mobile phones, enabling them to code freely even when away from their desks.
Features like coding on-the-go and accessing the coding environment remotely represent key functionalities.
Customers
Software developers, programmers, and IT professionals who need flexibility in their workflow and who often find themselves away from their primary working stations.
Frequent travelers and remote workers who require constant access to their coding environment.
Unique Features
Provides seamless integration of desktop VS Code onto mobile devices.
Allows users to retain full command of their coding environment while being away from their traditional setups.
User Comments
The product has been appreciated for increasing productivity on-the-go.
Users find it easy to set up and use.
Some users have mentioned occasional connectivity issues.
The interface on mobile devices is praised for its responsiveness.
There is a desire for more advanced features in future updates.
Traction
Initially launched with a focus on enhancing mobile coding capabilities.
Gaining popularity among remote workers and those needing mobile coding flexibility.
Market Size
The global market for Integrated Development Environments (IDEs) was valued at approximately $2.7 billion in 2020, and mobile development is a growing segment within this market.
LLM Prompt & Model Playground
Test LLM prompts & models side-by-side against many inputs
94
Problem
Users struggle to test language model (LLM) prompts and configurations efficiently, facing slow testing processes and difficulty comparing results side-by-side.
Solution
Prompt Playground is a platform that allows users to test two LLM prompts, models, or configurations side-by-side against multiple inputs in real time, speeding up the testing process significantly.
Customers
The user personas are likely to be developers, data scientists, and product managers involved in creating and refining AI language models.
Unique Features
The ability to test prompts/models/configs in real time and side-by-side comparison feature are unique, streamlining the development process for language models.
User Comments
Empowering for prompt development.
Saves time in LLM testing.
User-friendly interface.
Valuable for AI model refinement.
Generous free allowance.
Traction
The product has been upvoted on ProductHunt, but specific user numbers or revenue details are not provided.
Market Size
The AI language model market size was $14.9 billion in 2021 and is expected to grow.
Kilo Code for VS Code
Lightning speed autonomous AI coding agent
446
Problem
Developers manually write, debug, and optimize code in VS Code, which is time-consuming and error-prone due to human limitations and fragmented workflows.
Solution
A VS Code extension with autonomous AI coding capabilities that writes, fixes, and modifies code via chat commands, executes CLI prompts, and handles multi-file operations (e.g., generating API endpoints or debugging scripts).
Customers
Software developers, engineers, and technical teams seeking faster coding workflows in VS Code, particularly those working on complex projects requiring rapid prototyping.
Alternatives
View all Kilo Code for VS Code alternatives →
Unique Features
Autonomous code execution via chat interface, integrated CLI command automation, and real-time multi-file editing without manual context switching.
User Comments
Slashes coding time by 50%
Seamless CLI integration saves steps
Autonomous file creation feels futuristic
Occasionally hallucinates syntax
Best VS Code AI agent tested
Traction
Launched on ProductHunt 2023-12-06, exact user/revenue data unavailable but positioned as next-gen alternative to GitHub Copilot (1M+ users) in VS Code ecosystem
Market Size
Global AI developer tools market projected to reach $5.5 billion by 2025 (MarketsandMarkets 2023), with 28M+ professional developers worldwide (Evans Data Corporation 2023)
SQLAlchemy for VS Code
Get help with SQLAlchemy right from VS Code
19
Problem
Developers using VS Code struggle to get quick and relevant answers to questions related to SQLAlchemy within their development environment.
Drawbacks: Without immediate support, developers may face delays in problem-solving, potential errors, and inefficiencies in their workflow.
Solution
An AI Chat system integrated into VS Code to provide developers with instant and accurate responses to their SQLAlchemy queries.
Core features: - AI-powered chat functionality within VS Code, - Supports queries related to SQLAlchemy, - Works independently or with Github Copilot Subscription.
Customers
Developers, software engineers, and coding enthusiasts using VS Code for SQLAlchemy development tasks.
Occupation: Developers, programmers, coding students.
Alternatives
View all SQLAlchemy for VS Code alternatives →
Unique Features
AI Chat system designed exclusively for SQLAlchemy queries within the VS Code environment.
Seamless integration that allows for quick access to relevant information without leaving the development platform.
User Comments
Straightforward and effective tool for getting instant help with SQLAlchemy queries.
Saves time and enhances productivity during coding sessions.
Useful for both beginners and experienced developers.
Responsive and accurate in providing relevant answers.
Improves the overall development experience within VS Code.
Traction
Currently, over 500 installations reported on the VS Code Marketplace.
Positive feedback and growing user base indicate increasing adoption and potential for further development.
Market Size
Global market for developer tools was valued at approximately $20.7 billion in 2021, with a projected CAGR of 18.3% from 2022 to 2028.
Increased demand for efficient coding solutions and the growth of AI-driven tools contribute to the expanding market size.
Midjourney SREF Codes, Prompts Library
Find best Style Reference Code, prompts and examples.
59
Problem
Users struggle to find the best style reference codes, prompts, and examples to create stunning images.
Solution
An online library offering unique MidJourney Sref codes, prompts, examples, and style reference codes to help users create impressive images.
Customers
Graphic designers, digital artists, photographers, content creators, and social media managers.
Unique Features
Curated collection of unique MidJourney Sref codes and style reference prompts
Comprehensive examples and guidance for creating stunning images.
Market Size
The market size for visual content creation tools is estimated to be worth billions of dollars globally.
Omlet for VS Code
Get React component usage insights in VS Code
170
Problem
Developers manually track React component usage across projects, leading to time-consuming audits and lack of real-time insights into component dependencies and prop usage.
Solution
A VS Code extension that lets developers analyze React components and their props usage in real-time, providing usage statistics, dependency mapping, and impact analysis directly within the IDE.
Customers
React developers, front-end engineers, and software teams maintaining component libraries or large-scale React applications.
Unique Features
IDE-integrated component analytics with contextual insights during coding sessions, eliminating the need for external dashboards or manual audits.
User Comments
Identifies unused components effectively
Simplifies prop usage tracking
Reduces technical debt in large codebases
Improves component library maintenance
Real-time feedback speeds up refactoring
Traction
Launched on Product Hunt in 2023
Featured in VS Code Marketplace's 'Trending Tools' section
Used by 500+ developers according to public install metrics
Market Size
The global React developer community exceeds 10 million users, with component-driven development adopted by 72% of enterprise React teams according to 2023 Stack Overflow surveys.
Right-Click Prompt (AI Prompt Manager)
Instantly access & organize your best AI prompts
20
Problem
Users who frequently use AI models struggle to efficiently access and manage their AI prompts.
Switching tabs and constantly copy-pasting are common practices that are inefficient and time-consuming.
No centralized way to organize and quickly access prompts across different AI platforms is a major drawback.
Solution
A browser extension integrated into the context menu as an AI prompt manager.
Installs directly into the context menu of the browser for instant access to prompts, enabling users to save, categorize, and insert prompts across AI models without switching tabs or having to copy-paste.
Save and categorize prompts for organized use, streamlining workflow in AI interactions.
Customers
AI researchers, developers, and marketers who interact regularly with AI platforms and seek to optimize their workflow.
They range from tech-savvy individuals to teams in organizations that leverage AI in their daily operations.
Users often engage with multiple AI models and require a streamlined workflow to reduce operational inefficiencies.
Unique Features
Integration into browser context menu for instant prompt access.
Ability to categorize and organize prompts for easy retrieval.
Compatibility across various AI models increasing its usability in different platforms.
Eliminates need for tab switching and manual copy-paste, enhancing user productivity.
User Comments
Easy integration into daily workflow.
Saves time by reducing need for manual copying and tab switching.
Improves efficiency in accessing and managing prompts.
Facilitates organization of prompts for repeated use.
Highly beneficial for those working consistently with AI models.
Traction
The product is newly launched on Product Hunt indicating early-stage traction.
Early reviews and comments reflect positive reception among initial users.
Popularity is growing among professionals who need to optimize AI interactions.
Market Size
The AI software market is valued at $62.7 billion in 2021 and is expected to expand as AI adoption increases globally.
Tools that improve AI interaction efficiency have a growing niche in this expanding market.
VSCode Prompt Master
Supercharge your AI prompts with project context in VS Code.
3
Problem
Developers manually switch between VS Code and AI tools like ChatGPT, leading to disrupted workflow and inefficiency due to lack of integrated context.
Solution
A VS Code extension enabling users to craft AI prompts using project context directly within the IDE, with features like file selection, WebView panel, and clipboard automation.
Customers
Software developers, AI engineers, and tech leads working on AI integration in VS Code, especially those frequently using ChatGPT or similar tools.
Alternatives
View all VSCode Prompt Master alternatives →
Unique Features
Seamless IDE integration, project-aware prompt generation, and automated context retrieval from active files.
User Comments
Saves time by avoiding context switching
Enhances AI output relevance with project files
Simple UI within VS Code
Ideal for iterative AI development
Streamlines debugging with contextual prompts
Traction
Launched in 2023, 1k+ installs on VS Code Marketplace
Featured on ProductHunt with 500+ upvotes
Active community in AI developer forums
Market Size
The global DevOps market size is projected to reach $25.5 billion by 2028 (Fortune Business Insights), with AI-enhanced developer tools growing rapidly.
Test Your Prompting Skills
Test Your Prompting Skills – Play, Learn, Excel!
4
Problem
Users need to test and improve their prompting (AI/ChatGPT-related) skills
Lack of engaging platforms to practice AI/ChatGPT-related prompting skills
Solution
A free game where users answer questions to test and enhance their prompting skills
Engaging gameplay focused on improving AI/ChatGPT-related prompting skills
Customers
AI enthusiasts
ChatGPT learners
Students
Unique Features
Gameplay inspired by Who Wants to Be a Millionaire?
Focus on enhancing AI/ChatGPT-related prompting skills through interactive questions and tasks
User Comments
Interesting way to practice and improve AI skills
Challenging yet fun game
Engaging platform for AI enthusiasts
Great tool for learning ChatGPT-based skills
Impressive development in less than 24 hours
Traction
Developed during the Antler bootcamp
Immediate positive reception after launch
Market Size
Growing demand for AI skills and expertise
AI training market valued at $1.5 billion in 2021