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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.
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.
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.
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
MUI for VS Code
Ask questions to the MUI docs straight from VS Code
165
Problem
The current situation of the user is that they need to access MUI documentation outside of VS Code, leading to a disjointed workflow.
Drawbacks: Users have to switch between different tools, causing interruptions and impacting productivity.
Solution
A VS Code extension that allows users to chat with an AI expert on MUI within VS Code, enabling direct access to MUI documentation and answers by typing "@mui" into GitHub Copilot.
Core features: Chat with AI expert on MUI, get high-quality answers with references to up-to-date MUI documentation.
Customers
Developers and coders using VS Code for MUI-related projects.
Occupation: Software developers, coders.
Unique Features
Direct integration of MUI documentation and AI expert chat within VS Code for seamless workflow.
User Comments
Helps me quickly find answers within VS Code.
Great tool for MUI development.
Efficient way to access MUI documentation.
Traction
It's gaining popularity among VS Code users.
Positive reviews and feedback on its ease of use.
Market Size
$1.5 billion market size for developer productivity tools in 2021.
Polar Paradise: Coolest VS Code Theme
Where Code Meets Arctic Inspiration | Chill Out, Code Bright
8
Problem
Users coding in Visual Studio Code may face a lack of visual customization options leading to a generic and uninspiring coding environment.
Solution
A Visual Studio Code theme called Polar Paradise that provides an Arctic wonderland-inspired coding environment with snow-white backgrounds, glacier-blue accents, and penguin-approved color schemes.
Customers
Developers, programmers, and coders seeking a visually pleasing and refreshing coding experience.
Unique Features
Arctic wonderland-inspired theme with snow-white backgrounds and glacier-blue accents.
User Comments
Clean and visually appealing theme!
Love the penguin-approved color schemes.
Makes coding feel refreshing and unique.
Traction
The Polar Paradise VS Code theme has gained popularity with positive user reviews and high downloads on the Visual Studio Code marketplace.
Market Size
Customizing coding environments through themes and color schemes is a growing trend. The global market for code theme customization tools and plugins is estimated to be worth around $1.5 billion in 2021.
Prompt Builder: Long-Context Prompts
Build rich, multi-file LLM prompts from a single interface
3
Problem
Currently, users struggle with creating comprehensive, multi-file AI prompts, which hampers the efficiency in tasks such as writing, coding, and research.
Creating comprehensive, multi-file AI prompts is a complex task leading to inefficiencies.
Solution
This product is a macOS app for building multi-file AI prompts.
Users can aggregate local files, fetch transcripts, reorder blocks, track token usage, and summarize large text.
For example, users undertake long-context tasks like writing, coding, and research more efficiently.
Customers
Researchers, coders, and writers
Demographic: Professionals using AI extensively for content creation
User behavior: Frequent AI tool users needing streamlined, comprehensive prompt construction
Unique Features
Open-source macOS app
Ability to manage and track long-context prompts efficiently
Comprehensive functionality from a single interface
User Comments
Highly functional for organizing complex prompts.
Appreciated for being open-source and versatile.
Streamlines the process of prompt building significantly.
Useful for professional writers and developers.
Great for managing extensive and diverse AI tasks.
Traction
Newly launched with growing interest
Integrated features for long-context tasks
Market Size
The generative AI market was valued at approximately $10 billion in 2022 and is expected to grow significantly.
Cloudy VS Code Extension
1 click JSON Payload Generator for your APIs
5
Problem
Users working with APIs struggle to quickly generate JSON payloads for testing, often relying on manual creation or scattered tools across different platforms to achieve this, which is time-consuming and cumbersome.
manually create JSON payloads for testing
Solution
Cloudy offers an Open Source VS Code Extension that simplifies API testing by allowing users to highlight their code and quickly generate JSON payloads with dummy data.
generate JSON payloads with dummy data simply by highlighting code
Customers
Software developers and QA engineers who frequently test APIs and require efficient tools to streamline their testing processes.
Primarily tech-savvy individuals involved in software development.
Alternatives
View all Cloudy VS Code Extension alternatives →
Unique Features
It integrates directly with the VS Code environment, which is widely used by developers, and offers the ability to generate JSON payloads in one click, reducing the need to switch between different tools.
User Comments
Users appreciate the ease of integration with VS Code.
The one-click JSON generation feature is seen as a time-saver.
Some users mentioned the importance of having an open-source solution.
There is positive feedback regarding the dummy data generation feature.
A few users highlighted it as a valuable tool for API testing.
Traction
The product has gained traction on ProductHunt with notable interest from developers.
It is available as an open-source extension, which potentially broadens its user base significantly.
Market Size
The global API management market size was valued at $3.85 billion in 2020 and is expected to grow at a CAGR of 32.9% from 2021 to 2028, indicating a substantial market for related tools.
2000 Large Language Models (LLM) Prompts
Unlock your knowledge with 2000 LLM prompts
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Problem
Users exploring the capabilities of Large Language Models (LLMs) often face difficulty in coming up with effective prompts to fully leverage these models' potential. This leads to suboptimal usage and experimentation, hindering learning and application in various contexts. The drawbacks include a lack of inspiration, inefficiencies in understanding the full capabilities of LLMs, and an inability to apply these models effectively across different domains.
Solution
The product is a comprehensive collection of 2000 Large Language Models prompts, presented as an online resource. It enables users to explore a vast array of prompts to experiment with and understand LLM applications in various contexts. With this resource, users can find prompts for a wide range of domains, enhancing their ability to utilize LLMs for creative purposes, problem-solving, and exploring new uses of these technologies.
Customers
The primary users of this product are data scientists, researchers, educators, and anyone engaged in the field of artificial intelligence who is looking to explore and experiment with Large Language Models. Additionally, it's valuable for hobbyists and tech enthusiasts interested in AI.
Unique Features
The unique attribute of this product is its extensive compilation of 2000 prompts specifically tailored for Large Language Models. This specialization makes it a notable resource for users seeking in-depth exploration and experimentation with LLMs across a variety of contexts.
User Comments
Unable to find user comments without direct access to platforms hosting user reviews for the product at this time.
Traction
Current product traction details are not available due to a lack of access to real-time data and metrics on user engagement, downloads, or sales.
Market Size
As of 2023, the AI market, which includes Large Language Models, is expected to reach over $500 billion by 2024, reflecting the growing interest and investments in AI technologies and applications.