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Problem
Users currently perform manual QA testing or rely on script-based automation, leading to time-consuming and resource-intensive processes, along with limited adaptability to UI or workflow changes.
Solution
A no-code AI tool that lets users automate QA testing with AI by converting screen recordings into autonomous test agents, enabling testing for web apps, CRMs, and ERPs without scripts or API integrations.
Customers
QA engineers, software developers, product managers, and engineering teams building or maintaining web applications, CRMs, or internal tools.
Unique Features
Autonomous QA agents trained via screen recordings (no coding), compatibility with non-API-based systems like CRMs/ERPs, and scriptless test automation.
User Comments
Saves hours of manual testing
Eliminates need for scripting expertise
Works seamlessly with custom UIs
Accelerates regression testing cycles
Reduces QA team workload
Traction
Launched on ProductHunt (2023-10-24) with 67+ upvotes and 10+ comments; specific revenue/user metrics undisclosed.
Market Size
The global test automation market is projected to reach $49.9 billion by 2027 (MarketsandMarkets, 2023).

Automate frontend QA with AI

Cut frontend QA time with smart automation in seconds
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Problem
Users currently perform manual frontend QA checks between Figma designs and frontend code, which is time-consuming and error-prone.
Solution
Tolmin is an AI-powered platform that automates frontend QA by comparing Figma designs with frontend code, enabling users to detect discrepancies in seconds (e.g., layout mismatches, font errors).
Customers
Frontend developers, QA engineers, and product managers working on web applications requiring frequent design-code alignment checks.
Unique Features
AI-driven visual regression testing, real-time Figma integration, instant discrepancy reports, and automated ticket generation for developers.
User Comments
Reduces QA time from hours to minutes
Catches subtle design inconsistencies
Simplifies collaboration between design and dev teams
No coding required for basic checks
Instant reports boost iteration speed
Traction
Claims to save up to 85% QA time (based on case studies)
Enables 6x team productivity improvement
Public launch on ProductHunt with 480+ upvotes
Market Size
The global software testing market was valued at $45 billion in 2023, with automation tools driving 22% CAGR growth (MarketsandMarkets).

AI QA

Fully autonomous AI QA engineer
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Problem
Users rely on manual testing or traditional automated testing tools that require manually creating and maintaining test cases, detecting hidden bugs, and frequent maintenance due to UI changes
Solution
An AI-powered QA testing tool where users can convert natural language instructions into automated test cases, enable self-healing tests when UI changes occur, autonomously explore apps to identify bugs, and schedule automated test runs without maintenance needs
Customers
QA engineers, software developers, and product managers in tech companies seeking efficient, scalable testing solutions
Unique Features
Autonomous test case generation from natural language, self-healing capability adapting to UI changes, proactive bug discovery through app exploration, zero-maintenance operation
User Comments
Reduces testing time by 70%
Identifies edge cases missed by manual QA
Eliminates costs of maintaining legacy test suites
No-code solution ideal for non-technical teams
Seamlessly integrates with CI/CD pipelines
Traction
Launched on ProductHunt in 2023 (exact metrics unspecified)
Positioned as novel entrant in $45B software testing market
Market Size
The global software testing market reached $45 billion in 2023 (Statista)

AI User

AI users that test your app and automate QA
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Problem
Users manually test critical user flows, leading to high test maintenance and inefficient QA processes when UI changes occur.
Solution
AI-powered QA automation tool that lets users autonomously generate and run test cases from prompts and self-heal tests when UI changes to reduce maintenance.
Customers
QA engineers, product managers, and developers at tech startups or SaaS companies prioritizing rapid iteration.
Unique Features
Autonomous test case generation from natural language prompts; self-healing tests adapt to UI changes without manual updates.
User Comments
Reduces QA time by 70%
Eliminates manual test maintenance
Intuitive integration with existing workflows
Reliable error detection
Cost-effective alternative to traditional QA tools
Traction
Launched on Product Hunt in 2024; exact traction metrics (users, revenue) not publicly disclosed.
Market Size
The global $40 billion software testing market (2023) reflects demand for AI-driven QA solutions.

Jira QA Testing App | Test Management

Seamless QA. Smarter Testing. Powered by Jira
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Problem
Users manually manage test cases, execute tests, and track bugs in Jira, leading to inefficient workflows, fragmented processes, and human errors in QA testing.
Solution
A Jira-integrated app enabling users to manage test cases, execute tests, and track bugs efficiently with AI-powered insights, such as automated test case generation and predictive bug tracking.
Customers
QA engineers, software testers, product managers, and development teams overseeing software quality in Agile or DevOps environments.
Unique Features
Seamless Jira integration, AI-driven test optimization, real-time collaboration, and centralized bug tracking within the Jira ecosystem.
User Comments
Saves time with AI-generated test cases
Reduces manual errors in bug tracking
Improves cross-team collaboration
Integrates smoothly with existing Jira workflows
Enhances test coverage accuracy
Traction
Newly launched with 500+ upvotes on Product Hunt, used by 1,000+ teams, and featured as a top Jira QA tool in 2024.
Market Size
The global QA/testing market is projected to reach $56.7 billion by 2027, driven by increasing software complexity and Agile adoption.

Webo.AI

Test Automation Platform Powered by AI
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Problem
Users face long test times when conducting test automation, leading to inefficiency and time consumption.
Solution
A test automation platform powered by AI that reduces test time by 80%.
Customers
Quality assurance professionals, software testers, and developers seeking to improve test efficiency.
Unique Features
AI-powered test automation that significantly reduces test time, improving efficiency and productivity.
User Comments
Saves a significant amount of time during testing.
Great tool for improving test automation efficiency.
The AI features are impressive and effective.
Streamlines the testing process effectively.
Highly recommended for quality assurance teams.
Traction
It has gained significant traction with a rapidly growing user base utilizing AI-powered test automation.
The platform has achieved a high adoption rate among quality assurance professionals and testers.
Market Size
The global test automation market was valued at around $12.6 billion in 2020 and is expected to reach approximately $28.8 billion by 2027, with a CAGR of 13.1%.

AI Automation

Automate with 150+ AI Tools + 20-30% off on Paid Tools
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Problem
Users struggle with using multiple fragmented AI tools, leading to inefficiency, higher costs, and time-consuming workflow management.
Solution
A consolidated platform with 150+ AI tools + discounts, allowing users to access business, content, marketing, and automation tools in one place (e.g., automated content generation, CRM integration, SEO optimization).
Customers
Startups, small businesses, digital marketers, and content creators needing cost-effective and efficient AI solutions for scalable workflows.
Unique Features
Centralized access to 150+ tools + 20-30% paid tool discounts; bundled automation for cross-functional tasks.
User Comments
Saved hours weekly by streamlining tools
Reduced software costs significantly
Simplified content creation workflows
Easy onboarding for non-technical users
Affordable access to premium tools
Traction
Newly launched on ProductHunt (specific metrics undisclosed); positioned in the growing AI tools aggregation niche.
Market Size
The global AI software market is projected to reach $207 billion by 2030 (Grand View Research, 2023), driven by demand for automation in SMEs.

QA.tech

Automate your QA testing using an agent swarm
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Problem
Users rely on manual QA testing, which is time-consuming and prone to human error.
Existing methods lack scalability and reliability in quality assurance.
Manual test suites may not cover all scenarios and functionalities adequately.
Solution
AI-powered agents mimic human QA testers for automation of QA testing.
Generate comprehensive test suites to understand functionality of web apps.
Tests can be automated on every release, scheduled, or run manually for scalable and reliable quality assurance.
Customers
QA Testers, Quality Assurance Engineers, DevOps Engineers
Individuals or teams looking to automate and streamline QA testing processes.
Unique Features
AI agents replicate human QA testers for accurate testing.
Automated test suites cover a wide range of scenarios and functionalities.
Flexible options to run tests automatically, schedule them, or perform manual testing.
User Comments
Efficient and effective automated testing solution.
Saves time and reduces manual effort significantly.
Improved quality assurance processes and faster release cycles.
Great scalability and reliability in testing web apps.
Intuitive interface and easy to use for QA testing tasks.
Traction
Launched with 500+ active users within the first month.
Monthly recurring revenue of $50,000 with a steady growth rate.
Featured on ProductHunt, gaining positive reviews and attention in the tech community.
Market Size
The global software testing market size was valued at $12.9 billion in 2020.
Growing demand for automated testing solutions to ensure software quality and accelerate development cycles.
Expected to reach a value of $26.2 billion by 2026, with a CAGR of 11.7%.

Ai Beauty Test

Discover Your AI Beauty Test
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Problem
Users struggle to objectively assess their facial features and receive personalized beauty improvement suggestions without professional consultations, which are time-consuming, costly, and inconsistent.
Solution
A web-based AI tool that lets users upload a photo to generate a detailed beauty report, including facial symmetry analysis, skin condition evaluation, and personalized enhancement tips (e.g., makeup or skincare recommendations).
Customers
Beauty enthusiasts, skincare professionals, cosmetic brands, and influencers seeking data-driven insights to optimize personal appearance or client recommendations.
Unique Features
AI-driven facial metrics analysis (e.g., golden ratio alignment), actionable improvement suggestions, and instant visual feedback.
User Comments
Accurate facial feature analysis
Surprisingly detailed skin assessment
Helpful personalized tips
Easy to use interface
Quick results
Traction
Launched on ProductHunt in 2024 with 500+ upvotes, integrated into 3 skincare apps, and 10k+ monthly active users.
Market Size
The global AI beauty tech market is projected to reach $13.3 billion by 2032 (Allied Market Research).

AI Blood Test Analysis

Understand your blood tests metrics in seconds with AI
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Problem
Users struggle to interpret complex blood test metrics quickly and accurately.
Drawbacks: Misinterpretation of blood test results may lead to incorrect self-diagnosis or delayed medical treatment.
Solution
Product: AI-powered platform for blood test analysis
Features: Upload blood test report, receive clear insights, understand health metrics, make informed decisions
Core Features: Decipher blood test results, provide actionable insights, ensure privacy and security
Customers
User Persona: Individuals seeking to understand their blood test results accurately and conveniently
Demographics: All age groups, health-conscious individuals, individuals with chronic conditions
Behaviors: Regular blood test takers, tech-savvy users, individuals monitoring health indicators
Unique Features
AI-powered quick analysis of blood test metrics
Time-efficient interpretation of complex health data
Enhanced privacy and security measures for sensitive health information
User Comments
Instantly understood my blood test results, very helpful!
Saved me time and worry trying to decipher the report on my own.
The insights provided were clear and easy to understand.
Great tool for keeping track of my health metrics.
Highly recommend for anyone who wants a quick overview of their blood test results.
Traction
Growing user base with positive feedback
Recently launched, gaining popularity in health-conscious communities
Market Size
$7.1 billion global health diagnostics market is expected to grow by 2025
Increased focus on personalized health monitoring and self-care driving market expansion