GraphCL - a caching layer for GraphQL
Alternatives
0 PH launches analyzed!
GraphCL - a caching layer for GraphQL
GraphCL: 2x faster. 20% greener. 0 code change.
6
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.
Alternatives
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
56
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.
Alternatives
View all Ridvay Code for VS Code alternatives →
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
78
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
5
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.
Alternatives
View all Code Spoonfeeder 2.0 alternatives →
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.
3
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
4
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.
Code ▶ Playback
Want to demo your vibe coding app? Code playback simulates
7
Problem
Developers struggle to create engaging demos using static images or text-based explanations to showcase their coding workflow, leading to difficulty in conveying context, flow, and nuance effectively.
Solution
A code visualization tool where users can simulate coding sessions with animated code changes and syntax highlighting, creating shareable, interactive demos (e.g., showing a feature implementation step-by-step).
Customers
Developers, technical educators, and open-source maintainers who need to demonstrate coding processes or share workflows for collaboration and education.
Unique Features
Focus on visualizing code changes as dynamic animations rather than static snapshots, with granular syntax highlighting and step-by-step playback controls.
User Comments
Simplifies code walkthroughs
Makes debugging explanations clearer
Great for onboarding new developers
Enhances documentation
Saves time recording screencasts
Traction
Launched 3 months ago, 900+ upvotes on Product Hunt, 5,000+ users, Pro plan at $10/month (estimated $50k+ ARR if 10% conversion), founder @wzhao has 2,000+ Twitter followers.
Market Size
The global developer tools market is projected to reach $6.02 billion by 2026 (Fortune Business Insights), indicating strong demand for workflow-enhancing solutions.
Gemini Code Assist
Google's AI-powered code assistance for faster development
214
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
3
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.
Change Heatmap
Visualize Git change hotspots directly inside VS Code.
7
Problem
Developers manually track code changes and churn using Git history or external tools, leading to inefficiency in identifying problematic code areas and increased time spent diagnosing tech debt.
Solution
VS Code extension that visualizes Git change hotspots directly in the editor via a line-by-line heatmap, enabling developers to instantly identify high-churn code sections and view inline commit notes for context.
Customers
Software engineers and developers, particularly those working on large codebases or in teams needing to manage technical debt and bug-prone areas.
Unique Features
In-IDE Git change visualization with granular line-level heatmaps, eliminating the need for external tools or dashboards.
User Comments
Simplifies tech debt prioritization
Saves hours of manual Git digging
Intuitive integration with VS Code
Helps prevent bugs proactively
Lightweight and non-disruptive
Traction
Launched in 2023, featured on ProductHunt (#1 Product of the Day). Exact revenue/user data unavailable, but Git-focused dev tools like GitLens have >10M installs, indicating market validation.
Market Size
The global developer tools software market is projected to reach $9.7 billion by 2026 (IDC), with Git integration tools being a core segment.