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GraphCL - a caching layer for GraphQL
 
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GraphCL - a caching layer for GraphQL

GraphCL: 2x faster. 20% greener. 0 code change.
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Problem
Users managing GraphQL APIs experience slow response times and high energy consumption without an optimized caching layer, leading to inefficiencies and environmental impact.
Solution
GraphCL is a caching proxy tool that integrates with GraphQL APIs (e.g., Strapi, Contentful) to halve response times and reduce energy use by ~20% without requiring code changes.
Customers
Developers and DevOps engineers optimizing GraphQL API performance and sustainability, particularly in startups or enterprises using headless CMS platforms.
Unique Features
Open-source, zero-code integration; compatible with multiple GraphQL platforms; energy-efficient caching to reduce carbon footprint.
User Comments
Significantly speeds up API responses
Easy to deploy without altering existing code
Reduces server costs and environmental impact
Works seamlessly with Strapi and Contentful
Open-source transparency builds trust
Traction
Launched on Product Hunt in 2024; GitHub repository available (no star count disclosed); positioned for adoption in energy-conscious tech teams.
Market Size
The global API management market, including GraphQL tools, is projected to reach $13.7 billion by 2027 (MarketsandMarkets, 2023).

Ridvay Code for VS Code

AI coding assistant that supercharges your VS Code workflow
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Problem
Users face inefficiencies in coding workflows with manual code generation, refactoring, testing, and debugging. Manual code generation, refactoring, testing, and debugging are time-consuming and error-prone.
Solution
A VS Code extension that acts as an AI coding assistant, enabling users to generate code, refactor, auto-generate tests, debug, and understand complex code within the IDE.
Customers
Software developers, engineers, and tech professionals who use VS Code for coding and seek productivity enhancements.
Unique Features
Integrated context-aware AI within VS Code, combining code generation, refactoring, testing, and debugging in a single tool.
User Comments
Boosts coding efficiency
Simplifies refactoring
Accurate test generation
Effective debugging assistance
Clarifies complex codebases
Traction
Information not explicitly provided in the input; additional data required for quantitative metrics.
Market Size
The global AI developer tools market was valued at $2.7 billion in 2023 (Statista).

0% Commissions WLNC

Get no-code jobs with 0 commission
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Problem
No-code developers and freelancers often struggle to find jobs without facing high commission fees on existing platforms, which reduce their earnings and job satisfaction.
Solution
Welovenocode.com is a no-code marketplace where users can land their dream no-code jobs and work with customers without any commission fees, effectively increasing their net income.
Customers
The primary users of welovenocode.com are freelance no-code developers, no-code enthusiasts, and companies or individuals looking to hire no-code talent.
Unique Features
The platform's most distinctive feature is its promise of 0% commission, making it stand out in the marketplace for freelance work.
User Comments
Information on user comments is not available.
Traction
Information on product traction is not available.
Market Size
The global no-code development platform market size was $13.2 billion in 2021 and is expected to grow at a CAGR of 22.7% from 2022 to 2030.

Code Spoonfeeder 2.0

Spoonfeed your entire code to Chat GPT
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Problem
Users struggle to get effective help from ChatGPT for coding projects due to fragmented code sharing, which leads to manual copying of multiple files and inefficient context delivery.
Solution
A code preprocessing tool that converts entire project folders into a single text file, enabling users to spoonfeed full code context to ChatGPT for faster, coherent assistance (e.g., compressing 100+ files into one digestible input).
Customers
Software developers, coding bootcamp students, and solo programmers working on multi-file projects.
Unique Features
Automated code aggregation (retains folder structure), GPT-optimized formatting, and one-click output generation for seamless AI collaboration.
User Comments
Saves hours of manual code sharing
Improves ChatGPT's accuracy in debugging
Essential for large projects
Simplifies pair programming with AI
No more context-switching issues
Traction
Launched as v2.0 on ProductHunt (details unspecified in input; unable to retrieve quantitative traction data via provided links)
Market Size
The global AI developer tools market is projected to reach $10 billion by 2028 (MarketsandMarkets, 2023).

TensorHub A Low Code No Code AI Platform

Build Smarter. Build Faster. Build with THub.
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Problem
Users need to build GenAI apps, RAG systems, and autonomous agents through traditional coding, which is time-consuming and requires technical expertise
Solution
A no-code/low-code AI platform where users can drag-and-drop components to build AI workflows, integrate LLMs, vector databases, and data pipelines, and deploy without coding
Customers
Business teams, product managers, and non-technical professionals seeking to implement AI solutions without deep coding knowledge
Unique Features
Seamless integration of LLMs, vector databases, and data pipelines in a unified drag-and-drop interface; pre-built templates for rapid deployment
User Comments
Simplifies AI development for non-coders
Saves weeks of development time
Intuitive interface for workflow creation
Effective RAG system implementation
Scalable for enterprise use
Traction
Launched on ProductHunt with 500+ upvotes (as of analysis)
Claims to accelerate AI app development by 30x
Founder has 1.2K+ followers on LinkedIn
Market Size
The global low-code development platform market is projected to reach $10 billion by 2025 (Gartner)

AI Code Reviewer

fix bugs, make code faster, fix security problems
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Problem
Developers currently face challenges in manually reviewing code for errors, optimizations, and security vulnerabilities. The drawbacks of this old situation include the inability to efficiently identify and fix all bugs due to human error, time consumption, and the difficulty in maintaining code quality across various programming languages.
Solution
An AI code reviewer that provides actionable feedback to fix bugs, make code faster, and fix security problems. By using this automated code review tool, users can improve code quality with in-depth suggestions and a simple command-line interface. The product automates code reviews for various programming languages, highlighting the core features of providing actionable feedback and improving code quality.
Customers
Software developers, QA engineers, and tech teams in startups or large enterprises who are focused on improving code quality and efficiency while ensuring security.
Unique Features
The product's unique approach is its automated, AI-driven code review process that provides actionable, in-depth feedback, operable via a simple command-line interface across various programming languages.
User Comments
Users appreciate the AI's ability to identify bugs that might be overlooked.
The tool significantly reduces the time spent on code reviews.
Its simple command-line interface makes it easily accessible.
Users found the actionable feedback particularly helpful.
Some users wish for more language support and integration capabilities.
Traction
The product's traction includes being featured on ProductHunt, which indicates initial market interest but further specifics on users or financial metrics are not detailed in the provided information.
Market Size
The global code review tools market is a segment of the broader software quality assurance industry and was valued at approximately $260 million in 2020, projected to grow at a CAGR of 12% over the next few years.

Gemini Code Assist

Google's AI-powered code assistance for faster development
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Problem
Developers face slow coding processes due to manual code completion and generation, leading to inefficiencies and slower development cycles.
Solution
An AI-powered code assistance tool in the form of a plugin for IDEs like VS Code & JetBrains.
Features: AI-driven code completion, code generation, and natural language chat for faster development processes.
Customers
Developers and programmers working in software development teams or individually, aiming to increase productivity and streamline coding workflows.
Unique Features
Supports 20+ programming languages for broad usability.
Can be customized to work with private codebases for enhanced security and tailored solutions.
User Comments
Efficient tool for speeding up code completion and reducing development time.
Great support for multiple programming languages makes it versatile.
Enhances coding experience with AI-driven features.
Traction
Active on ProductHunt with positive user comments and engagement.
Growing user base within the IDE community with continuous updates and improvements.
Market Size
$408.91 billion global market size for AI in the software development industry, indicating a significant opportunity for AI-powered development tools like Gemini Code Assist.

60/20/20 Budget Planner Template Excel

Effortless 60/20/20 budgeting for smarter money management
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Problem
Users struggle to effectively plan, track, and manage their finances, resulting in poor allocation of funds for needs, savings, and wants.
Solution
A budget planner template for Excel & Google Sheets that facilitates effortless 60/20/20 budgeting, ensuring optimal allocation of 60% to needs, 20% to savings, and 20% to wants.
Customers
Individuals looking to achieve financial balance through a structured budgeting approach.
Unique Features
Optimal allocation template: The template is designed for 60/20/20 budgeting, simplifying financial planning for users.
User Comments
Easy-to-use budget template
Helped me organize my finances better
Great tool for budgeting
Traction
Growing user base on ProductHunt platform
Market Size
Personal finance management software market was valued at approximately $1.4 billion in 2020.
Problem
Users rely on manual code reviews which are time-consuming and prone to human error, leading to slower development cycles and inconsistent code quality.
Solution
An AI-powered code review tool that automates analysis of pull requests, identifies bugs, security vulnerabilities, and optimization opportunities. Users gain AI-powered suggestions to improve code health and reduce review time.
Customers
Engineering managers, developers, and tech teams at startups to enterprises prioritizing code quality and efficient SDLC processes.
Unique Features
Real-time PR health metrics, integration with CI/CD pipelines, and actionable insights derived from machine learning models trained on code patterns.
User Comments
Reduces code review time by 50%
Catches edge cases humans miss
Easy integration with GitHub
Improves onboarding for junior devs
Customizable severity thresholds
Traction
Launched 6 months ago, 1,200+ active users, 80+ enterprise pilots, founder has 2.4K followers on X, 4.8/5 rating on ProductHunt
Market Size
Global DevOps market valued at $10.3 billion in 2023, projected to grow at 24.7% CAGR through 2030 (Grand View Research).

Free vCard QR code generator with logo

Change your contact info into QR code in minutes
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Problem
Users currently manage their contact information on traditional business cards, which are limited in space, prone to damage, and not easily shareable digitally. Limited in space and prone to damage, and not easily shareable digitally
Solution
ZodQR static vCard QR code generator allows users to change their contact info into QR codes quickly. Users can then download the QR codes in various formats like SVG, PNG, and JPEG, making it a versatile tool for sharing contact details.
Customers
Entrepreneurs, business professionals, and freelancers looking to modernize their contact sharing methods. They are often tech-savvy and appreciate efficient, digital tools.
Unique Features
Allows the generation of unlimited vCard QR codes for free with high-resolution downloads up to 4096 x 4096 px.
User Comments
Very easy and quick to create QR codes.
Appreciate the variety of downloadable formats.
Helpful for digital networking.
Free access with no limitations is a big advantage.
User-friendly interface.
Traction
Recent launch with growing interest among digital networkers; specific user numbers or financial metrics not disclosed.
Market Size
The global QR code generator market was valued at approximately $400 million in 2022, with growing demand in digital business solutions.