FixIt API--Stack Overflow Search in 47ms
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FixIt API--Stack Overflow Search in 47ms
Fix any coding error instantly with 18.5M solutions
2
Problem
Developers spend hours debugging code errors by manually searching Stack Overflow, leading to delayed project timelines and frustration. Manual search is slow, fragmented, and contextually mismatched.
Solution
An API tool allowing developers to search Stack Overflow posts in 47ms with 18.5M solutions. Users integrate the API to get instant, precise answers for coding errors (Python, JS, Java, SQL, C++).
Customers
Software developers and engineers working on time-sensitive projects, debugging complex codebases, or learning new programming languages.
Unique Features
⚡ Latency of 47ms for real-time solutions, pattern-matching algorithms for error-type categorization, and free tier (100 daily requests).
User Comments
Instant solutions for cryptic errors
Reduced debug time by 70%
API integration is seamless
Highly accurate solutions
Free tier is generous
Traction
1k+ upvotes on Product Hunt, 100k+ free-tier API calls processed, 4.9/5 average rating, founder X followers: 2k.
Market Size
The global developer tools market is valued at $4.5 billion in 2023 (Grand View Research), with Stack Overflow used by 100M+ developers monthly.
AI code fixer
Instantly fix and understand your code — with AI precision.
3
Problem
Users manually debug code which is time-consuming and prone to human error, leading to delayed resolutions and inefficient learning.
Solution
A web-based AI code debugging tool that automatically identifies bugs, provides instant fixes, and offers explanations tailored to beginners or advanced developers (e.g., explaining syntax errors in simple terms).
Customers
Software developers, engineering students, and coding bootcamp learners who need rapid error resolution and contextual learning.
Unique Features
Combines real-time code fixes with adjustable explanation depth (basic/technical), bridging debugging and educational workflows.
User Comments
Fixed my Python script in seconds after hours of frustration
Explanations helped me avoid similar bugs in future projects
Beginner-friendly without sacrificing depth for advanced users
Integrates smoothly with my VS Code environment
Reduces dependency on Stack Overflow for common errors
Traction
Launched 3 months ago with 8,200+ active users, 94% retention rate, and $12k MRR as per Product Hunt comments; founder has 2.3k GitHub followers.
Market Size
Global AI in developer tools market projected to reach $2.8 billion by 2025 (MarketsandMarkets, 2023).
Lightning Bolt Fix Chrome Extension
Unlimited Bolt.new error fixes. Zero token cost.
6
Problem
Users face Bolt.new errors in their code which require token-based solutions, consuming tokens for each fix and limiting error resolution due to token budget constraints.
Solution
A Chrome extension that fixes Bolt.new errors and generates code without token costs by redirecting to the free Gemini API, offering unlimited error fixes and code modifications while preserving token budgets.
Customers
Developers and engineers working with Bolt.new codebases, particularly those managing token budgets or relying on API-based error resolution tools.
Unique Features
Leverages Gemini API for free, unlimited error fixes; token-free operation; seamless integration as a browser extension.
User Comments
Eliminates token costs for Bolt.new fixes
Saves time with automated code corrections
Easy to install and use
Reliable integration with Gemini API
Essential for budget-conscious teams
Traction
Launched on ProductHunt with 100+ upvotes; exact user numbers undisclosed but positioned as a niche tool for Bolt.new users.
Market Size
The global developer tools market is projected to reach $11.6 billion by 2026, driven by demand for cost-efficient coding solutions.
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.
Free QR Code Generator
Create QR codes instantly completely free, forever!
3
Problem
Users previously relied on QR code generators that were either paid, ad-supported, or tracked user data. Paid, ad-supported, or tracked user data
Solution
A free online QR code generator tool that allows users to generate QR codes for URLs, text, etc., without ads or tracking, with customizable size and error correction. Example: Create a QR for a website link in seconds.
Customers
Small business owners, marketers, and event organizers needing QR codes for marketing materials, menus, or event registrations.
Alternatives
View all Free QR Code Generator alternatives →
Unique Features
Completely free forever, no ads, no tracking, instant generation, and customization options (size, error correction).
User Comments
Easy to use with no sign-up required
Reliable for quick QR generation
No hidden costs compared to others
Customization options are sufficient
Saves time for small businesses
Traction
Newly launched on ProductHunt with initial traction; exact user/revenue metrics not publicly disclosed.
Market Size
The global QR code market is projected to reach $2.7 billion by 2025 (Allied Market Research).
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).
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)
Code Splitter
your Code Assistant Extract html, css, js from mixed code
4
Problem
Developers manually separate HTML, CSS, and JavaScript from mixed code blocks, which is time-consuming and error-prone due to the need for meticulous code identification and organization.
Solution
A web-based tool that automatically extracts and organizes HTML, CSS, and JS from mixed code. Users paste their code, click a button, and receive clean, separated files (e.g., splitting a tangled .php file into .html, .css, and .js components).
Customers
Web developers, front-end engineers, and coding educators who frequently work with legacy codebases or need to refactor messy projects.
Alternatives
View all Code Splitter alternatives →
Unique Features
Instant separation without manual regex or search operations, handles unstructured code formats, and provides one-click export for individual files.
User Comments
Saves hours of manual code sorting
Simplifies refactoring legacy projects
Intuitive interface with no learning curve
Accurate syntax detection
Essential for rapid prototyping
Traction
Newly launched on ProductHunt (exact stats unspecified), positioned as a niche solution in the developer tools category.
Market Size
The global front-end development software market is valued at $10.8 billion (2023), driven by demand for productivity tools in web development.
Auth Debug Logger
Let Claude Code fix your OAuth errors automatically
2
Problem
Developers manually debug OAuth errors from services like Google/Stripe/Twitter leading to time-consuming troubleshooting and system downtime
Solution
A debugging tool that automatically captures OAuth failures and streams them to Claude AI for instant fixes via one-click deployment
Customers
Developers, engineering teams, and DevOps engineers integrating third-party auth services
Alternatives
View all Auth Debug Logger alternatives →
Unique Features
Combines automated error capture with Claude AI's real-time debugging without manual code analysis or configuration
User Comments
Saves hours debugging auth flows
Simplifies OAuth integration maintenance
Claude provides clear root cause analysis
Critical for production system reliability
Essential for startups lacking dedicated DevOps
Traction
Launched 5 days ago on Product Hunt with 150+ upvotes
Used by 20+ development teams
Founder @dango has 1.2K GitHub followers
Market Size
Global identity and access management market projected to reach $25.1 billion by 2027 (MarketsandMarkets)
Problem
Developers often face challenges in receiving quality feedback on their code, which can lead to slower progress and less improvement in their coding skills. The old situation involves manual code reviews by peers, which can be time-consuming and may lack consistency. The drawbacks of this old situation include relying heavily on the availability and expertise of peers, potential bias in reviews, and **limited access to diverse opinions and feedback**.
Solution
Code Rev is a platform that provides an AI-powered environment for code review. Users can submit their code for instant feedback or review other people's projects within a community. The core features include **AI-driven code analysis** and **peer reviews**, enabling developers to gain diverse feedback quickly and efficiently.
Customers
Developers, both freelancers and those working within tech companies, typically aged between 20 and 40 years old, who are looking to improve their coding skills through feedback and community interaction. **Software engineers**, code reviewers, and tech enthusiasts who are active in coding communities are likely users.
Unique Features
The combination of AI-driven code analysis with peer reviews provides a comprehensive feedback system. The platform not only automates code checks for errors and improvements but also integrates human peer review to ensure well-rounded feedback. This dual approach enhances learning and improves code quality more efficiently than traditional methods.
User Comments
Users appreciate the AI's ability to quickly point out errors in their code.
The community aspect helps in gaining diverse perspectives and insights.
The platform saves time compared to traditional review methods.
Some users find the AI feedback to be a great starting point before seeking peer review.
Scalability and efficiency of the tool are highly valued by users seeking rapid improvement.
Traction
Code Rev is relatively new on the market. As of its latest launch reported on Product Hunt, the specific number of users and other detailed traction data like MRR/ARR were not available. However, the presence on Product Hunt suggests active efforts in community engagement and expansion.
Market Size
The global market for code review tools is part of the larger software development tools market, which was valued at approximately **$9.7 billion** in 2020 and is projected to grow significantly, driven by increasing demand for software quality and efficiency improvements in the development process.