M9 Developer For Mac
Alternatives
0 PH launches analyzed!
M9 Developer For Mac
Secure Coding Copilot Using On Device AI Inferences
54
Problem
Users have to rely on internet connection to access AI-enabled coding workflows, which may raise security concerns due to sending sensitive code over the internet.
Solution
Desktop application that offers a contextual personal coding copilot running AI on the user's device, ensuring secure coding practices without the need to send sensitive code over the internet.
Automates all aspects of software development using on-device AI inferences without requiring sensitive code to be transmitted over the internet.
Customers
Developers, software engineers, and programmers seeking to enhance their coding productivity and security.
Unique Features
On-device AI for secure coding assistance without sharing sensitive code online.
User Comments
Easy to use and enhances productivity.
Great for coding on the go without internet dependencies.
Helps maintain code privacy and security.
Traction
The product seems to have a growing user base with positive feedback but specific quantitative data is not available.
Market Size
Global AI in cybersecurity market was valued at approximately $12.5 billion in 2020.
Enforster AI – Contextual Code Security
AI-powered SAST Security That Actually Understands Your Code
7
Problem
Developers rely on traditional SAST security tools that lack contextual understanding, resulting in high false positives and missed vulnerabilities due to code misinterpretation.
Solution
AI-driven SAST code security tool that replaces legacy scanners with contextual AI analysis, enabling users to detect vulnerabilities across codebases, dependencies, secrets, and AI models while generating actionable fixes.
Customers
Developers, security engineers, and DevOps teams in tech companies handling complex cloud-native applications and AI/ML models.
Unique Features
Combines SAST, SCA, secret scanning, and AI model security in one platform with code-contextualized vulnerability detection and automated remediation guidance.
User Comments
Reduced false positives compared to SonarQube
Identified previously undetected API vulnerabilities
Seamless integration into CI/CD pipelines
AI-generated fix suggestions saved debugging time
Comprehensive license compliance checks
Traction
Launched 4 weeks ago with 200+ Product Hunt upvotes, $299/month starter plan, founder @enforster_ai has 500+ X followers
Market Size
Global application security market projected to reach $15.6 billion by 2027 (MarketsandMarkets)
AI-Powered ABAP code security assistant
Secure your SAP code in minutes, not months – with AI.
2
Problem
ABAP developers manually review and secure SAP code, which is time-consuming and error-prone, leading to prolonged development cycles and potential security risks.
Solution
A code security tool that enables automated AI-powered vulnerability detection, compliance checks, and real-time security analysis for SAP ABAP code. Example: Scans code against 200+ security rules to fix issues instantly.
Customers
SAP ABAP developers, enterprise IT teams, and compliance officers in industries relying on SAP systems for critical operations.
Unique Features
AI-driven analysis tailored for SAP ABAP, real-time feedback, free security guidelines, and compliance-specific rules pre-configured for regulatory standards.
User Comments
Accelerates code audits
Reduces manual review effort
Improves compliance accuracy
Simplifies vulnerability detection
Cost-effective for SAP environments
Traction
Newly launched on ProductHunt; traction details (e.g., MRR, users) unspecified in provided data.
Market Size
The global SAP services market is valued at $30 billion+ (2023), with enterprise security compliance tools contributing $15 billion annually.
Shamans.dev: Securing AI-generated Code
Find hidden vulnerabilities in AI-generated code
12
Problem
Users relying on automated tools for AI-generated code security face 48% vulnerability miss rate, potentially leading to $4.7M+ preventable incidents
Solution
Security assessment tool enabling expert manual reviews of AI-generated code, identifying vulnerabilities automated tools miss through human analysis
Customers
Developers, DevOps engineers, and security engineers working with AI-generated code in tech companies or enterprises
Unique Features
Combines AI code analysis with manual security expert reviews, identifying 378+ critical flaws missed by automated tools
User Comments
Identifies vulnerabilities automated scanners miss
Provides ROI through incident prevention
Offers enterprise-grade security at startup pricing
Delivers faster than traditional audit processes
Leverages niche security expertise
Traction
378+ critical flaws detected
$4.7M+ potential incidents prevented
$299 launch pricing (90% discount)
Specializes in AI-generated code security
Market Size
Global application security market valued at $24.7B by 2027 (MarketsandMarkets 2022 report)
AI Copilot Agent
Customizable Copilot AI assistant
6
Problem
Users rely on non-customizable AI coding tools, leading to inefficient workflows and limited adaptability to specific project needs.
Solution
A customizable AI coding agent tool that lets users tailor AI behavior, integrate workflows, and automate tasks (e.g., generating code snippets, debugging).
Customers
Developers, engineering teams, and tech leads seeking to streamline coding processes and enhance productivity.
Alternatives
View all AI Copilot Agent alternatives →
Unique Features
Granular customization of AI behavior, integration with existing development environments, and adaptability to niche project requirements.
User Comments
Saves time on repetitive tasks
Improves code quality with tailored suggestions
Easy to integrate into workflows
Steep learning curve for customization
Requires technical expertise to maximize value
Traction
No explicit traction data from ProductHunt (launch date, upvotes, or revenue).
Market Size
The global AI-powered developer tools market is projected to reach $1.3 billion by 2028 (Grand View Research, 2023).
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.
AI Powered QR Code Generator
Generate AI QR codes for free
66
Problem
Traditional QR codes are plain and not engaging, leading to a lack of interest and interaction from potential users. The plain and not engaging nature of traditional QR codes.
Solution
An online dashboard tool that leverages generative AI technology to transform URLs into aesthetically appealing AI QR Code Art, making QR codes not only functional but visually engaging. Users can create, download, and track these dynamic QR codes. The transformation of URLs into AI QR Code Art using generative AI technology is the core feature.
Customers
Marketers, event organizers, and business owners who need to present information in an engaging way to improve their engagement rates and track user interaction. Marketers, event organizers, and business owners are most likely to use this product.
Unique Features
Combines QR code functionality with generative AI to produce visually engaging QR codes that serve as a form of AI art.
User Comments
Excited about the aesthetic enhancement of QR codes.
Appreciates the ability to track QR code interactions.
Finds it innovative and useful for marketing.
Positive feedback on ease of use and functionality.
Users are interested in exploring various design possibilities.
Traction
Since specific traction data is not provided, it is crucial to check the product's page on Product Hunt and the official website for updated user numbers, revenue, or other relevant metrics.
Market Size
The global QR code labels market is expected to reach $2.3 billion by 2027, growing at a CAGR of 6.5% from 2020 to 2027.
Pervaziv AI - Gen AI based App Security
Gen AI based Scan, Deploy & Protect modern cloud apps
20
Problem
Users face challenges in securing modern cloud applications using traditional methods
Drawbacks: Lack of efficiency and accuracy in security measures, difficulty in ensuring security across multi-cloud environments
Solution
AI-based application security tool
Core Features: Scan, remediate, build, and deploy applications securely using AI/ML technology, easily implement DevOps workflows, support for Azure and Google Cloud, ability to scan large code repositories
Customers
DevOps engineers, cloud security professionals, application developers, IT managers, tech companies
Unique Features
AI/ML-powered security for modern cloud applications
Support for multi-cloud environments
Efficient DevOps workflows
User Comments
Great tool for ensuring application security in the cloud
Efficient and easy-to-use DevOps workflows
Highly accurate scans with AI technology
Excellent support for multiple cloud platforms
Very helpful in securing large code repositories
Traction
Growing user base with positive reviews
Recently launched features to enhance security capabilities
Notable increase in revenue and users post-feature launch
Market Size
The global market for cloud application security was valued at around $7.1 billion in 2021
No-code AI Model Builder
Train custom AI models, build AI avatar apps - without code
118
Problem
Users without technical backgrounds struggle to access and utilize advanced AI technologies due to the complexity of AI model training. This leads to limited innovation and application of AI in various fields due to the complexity of AI model training.
Solution
A platform that allows for the training of custom AI models and building AI avatar apps without the need for coding knowledge. Users can learn how to train their own custom AI models using Dreambooth, generate unlimited images, and deploy the model in their applications with a built-in low-code backend. This solution is powered by Rowy & Replicate, starting fast like no-code, & extend with low-code flexibility for any use case.
Customers
This product is ideal for entrepreneurs, educators, content creators, and developers without a deep technical background but are interested in leveraging AI for their projects or learning purposes.
Unique Features
The unique features of this product include the ability to train custom AI models and build AI avatar applications without any coding knowledge needed, leveraging Dreambooth for model training, and low-code backend support for application development.
User Comments
Users appreciate the no-code and low-code flexibility.
They find the platform user-friendly for beginners.
Training custom AI models is seen as innovative and valuable.
The integration of AI avatar applications is positively received.
Support from Rowy & Replicate enhances user experience.
Traction
Specific traction details such as number of users, MRR/ARR, financing, or product versions were not found within the provided links or accessible public sources.
Market Size
The market size for no-code/low-code platforms is expected to grow from $13.2 billion in 2020 to $45.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 28.1% during the forecast period.
AI Code Mentor
Virtual Instructor that utilizes AI to help you learn code
100
Problem
Learning to code can be challenging for beginners due to complex concepts and lack of personalized guidance. Traditional learning resources often fail to provide comprehensive explanations tailored to individual learning paces.
Solution
AI Code Mentor is a code explainer tool that utilizes artificial intelligence (AI) to generate complete and comprehensive explanations for code sections, offering a personalized and engaging learning experience for users.
Customers
The primary users of AI Code Mentor are beginner to intermediate coders, students enrolled in coding bootcamps, and self-learners looking to gain a deeper understanding of programming concepts.
Unique Features
The unique feature of AI Code Mentor is its ability to provide personalized and detailed explanations for code, making complex concepts more accessible to learners at different stages of their coding journey.
User Comments
Comments on this product were not available at the time of this analysis.
Traction
Specific traction data for AI Code Mentor, such as number of users, MRR, or notable milestones, was not available at the time of this analysis.
Market Size
The global e-learning market size was valued at $250.8 billion in 2020 and is expected to grow at a CAGR of 21% from 2021 to 2027.