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Personably.ai
 
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Personably.ai

Persona-based agents for rapid user testing
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Problem
Users need to conduct user testing by recruiting real participants, which is time-consuming and costly, leading to delayed feedback cycles and limited access to diverse user perspectives.
Solution
A user testing platform where users upload product mockups to receive feedback from AI personas, enabling rapid, persona-specific insights and PRD generation. For example, personas simulate real users to test designs and provide actionable critiques.
Customers
Product managers, UX/UI designers, and startup founders who need agile feedback without traditional user recruitment bottlenecks.
Unique Features
Offers a prebuilt library of AI personas representing diverse demographics and behaviors, allowing real-time chat and structured feedback tailored to specific user segments.
User Comments
Saves weeks of user recruitment
Surprisingly detailed critiques from personas
Cost-effective for early-stage startups
PRD automation is a game-changer
Limited nuance compared to human testers
Traction
Launched 3 months ago with 200+ active teams, $8k MRR, and integrations with Figma & Notion. Founder has 1.2k LinkedIn followers.
Market Size
The global user testing market is projected to reach $2.5 billion by 2028, driven by demand for agile product development tools.

Veterinary Rapid Test Market

Veterinary Rapid Test Market Research Report By Test Type 2
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Problem
The current situation for users in the veterinary industry involves traditional diagnostic methods that can be slow and less efficient.
Traditional diagnostic methods tend to be time-consuming and may not provide immediate results, which is a drawback in urgent cases requiring rapid diagnosis and treatment.
Solution
A market research report for veterinary rapid tests that provides insights into the industry's growth opportunities and trends.
Users can analyze market data to make informed investment and business decisions.
Veterinary Rapid Test Market Industry is expected to grow from 2.58(USD Billion) in 2024 to 4.5 (USD Billion) by 2035
Customers
Veterinarians, veterinary clinic owners, animal health researchers, and investors in animal healthcare technologies.
These users are typically involved in decision-making processes related to animal health and diagnostics.
Unique Features
The report provides a comprehensive analysis of growth trends, market forecasts, and insights into the rapid test segment within the veterinary industry.
User Comments
Many users find the data provided as a critical tool for decision-making.
There are positive comments about the depth of market analysis provided.
Some users mention the utility of the report for understanding market trends.
Certain users express the need for more granularity in data.
Overall, the product is perceived as a valuable resource for industry insights.
Traction
The market segment outlined in the report is projected to grow from $2.58 billion in 2024 to $4.5 billion by 2035 with an expected CAGR of 5.2% during the period.
Market Size
The Veterinary Rapid Test Market is projected to have a valuation of $4.5 billion by the year 2035, reflecting a significant growth opportunity in the space.
Problem
Users face challenges in testing complex AI agents that reason, use tools, and make decisions using traditional evals, which lack effectiveness for dynamic real-world interactions.
Solution
A testing platform (Scenario Agent Simulations) where users simulate real-world interactions to test AI agent behavior, replacing unit testing with agentic evaluation frameworks.
Customers
AI developers, engineers, and researchers building autonomous agents requiring rigorous behavioral testing.
Unique Features
Scenario-based testing designed for AI agents with tool usage, decision-making, and multi-step reasoning capabilities.
User Comments
No user comments available (product is newly launched).
Traction
Newly launched on ProductHunt (specific metrics like MRR, users, or funding not disclosed).
Market Size
The global AI testing market is projected to reach $1.2 billion by 2027 (MarketsandMarkets, 2023).

Agents Base

Grow any brand on autopilot with swarms of marketing agents
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Problem
Businesses using traditional digital advertising platforms like Google, Instagram, or TikTok often experience inefficiencies. These platforms require substantial manual monitoring and adjustment. A/B testing across different demographics, copywriting, or viral video formats is particularly cumbersome and resource-heavy.
Solution
Swarms of cloud-based marketing agents that enable automation. Users can automate A/B testing across demographics, copywriting, and viral video styles. Examples include automatically repurposing videos, creating SEO-optimized blogs, and generating social replies.
Customers
Marketing managers, digital advertisers, brand managers, and SEO specialists. They often seek to optimize digital advertising budgets and improve campaign efficiency.
Unique Features
The product employs swarms of cloud marketing agents, facilitating unprecedented automation in marketing tasks. It offers up to 50-500x better CPM by optimizing A/B testing and leveraging viral content strategies.
User Comments
Users appreciate significant efficiency gains.
The automation capabilities reduce manual effort.
Some find the AI-driven A/B testing revolutionary.
There's praise for the improved cost-per-mille (CPM).
The platform’s ease of use is often highlighted.
Traction
The product is relatively new on ProductHunt, and specific user numbers and financial details are presently undisclosed.
Market Size
The global digital marketing software market size was valued at $49.43 billion in 2020 and is expected to expand at a compound annual growth rate (CAGR) of 17.4% from 2021 to 2028.

Fluidworks: AI agent for User Onboarding

SaaS onboarding agent that talks , clicks, and guides users
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Problem
Users experience inefficient and impersonal onboarding processes with traditional methods like static guides or videos. Higher support ticket volume and lower user activation rates are common.
Solution
AI-powered onboarding agent (embeddable widget) that talks, clicks through the UI, and personalizes guidance in real-time for SaaS users. Example: Automatically demonstrates feature usage via simulated mouse movements and voice instructions.
Customers
SaaS product managers, customer success teams, and B2B software companies with complex user interfaces needing scalable onboarding solutions.
Unique Features
Only solution combining voice interaction, UI automation, and personalized journey mapping in one no-code embeddable agent
User Comments
Reduced our onboarding support queries by 60% instantly
Feels like having a 24/7 customer success rep
Non-technical team could set it up in 2 hours
Users complete setups 3x faster now
Game-changer for enterprise software adoption
Traction
Launched June 2024 on Product Hunt (1.2K+ upvotes), $15k MRR with 50+ SaaS clients including enterprise customers
Market Size
SaaS onboarding tools market projected to reach $5.7 billion by 2028 (MarketsandMarkets 2023 report)

Ai Agents for Machines

Build your own AI Agent for machines!
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Problem
Users manually control machinery without AI integration, leading to inefficient processes and higher error rates due to lack of real-time automation.
Solution
A platform enabling users to build custom AI agents for machines using OPC UA protocol, allowing real-time sensor data reading and actuator control to automate industrial processes.
Customers
Industrial engineers, automation specialists, and IoT developers working on machinery automation and smart manufacturing systems.
Unique Features
Seamless integration with industrial OPC UA protocol for standardized machine communication and AI-driven decision-making without manual intervention.
User Comments
Simplifies industrial automation workflows
Reduces setup time for machine-AI integration
Supports real-time data-driven actions
Requires OPC UA expertise for optimal use
Enhances operational efficiency in manufacturing
Traction
Launched 2 weeks ago on ProductHunt with 850+ upvotes; details on users/revenue not publicly disclosed.
Market Size
The global industrial automation market is projected to reach $200 billion by 2025, driven by IoT and AI adoption in manufacturing.

Ribbon In-Product Prototype Testing

Test your designs with real users in the moment
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Problem
Product designers and developers often struggle to test designs, validate ideas, and uncover pain-points with real users before the actual build, leading to features that may not meet user expectations or address their needs effectively.
Solution
Ribbon is a prototype testing platform that enables product teams to test designs with real users in the moment, allowing for early validation of ideas and identification of user pain-points. Users can launch in-product prototype tests and receive feedback quickly, facilitating the development of features that users love.
Customers
Product designers, UX researchers, and developers in tech companies and digital agencies who are involved in the early stages of product development and are responsible for ensuring that new features meet user needs and preferences.
Unique Features
Ribbon's unique approach includes its in-the-moment prototype testing, empowering teams to validate ideas and designs with real users before proceeding to the development phase. This immediate feedback mechanism is distinct in the market.
User Comments
Users appreciate the speed and efficiency of gathering feedback.
Helps in making data-driven decisions for feature development.
Easy integration into the workflow for product teams.
Enhances collaboration between designers and developers.
Some users desire more advanced analytics tools within the platform.
Traction
As this information isn't provided in the initial request, and specific data couldn't be located elsewhere, exact metrics on user base, revenue, or recent feature launches are unavailable.
Market Size
The global user experience (UX) market is expected to reach $384.5 billion by 2030, growing at a CAGR of 22.5% from 2022 to 2030, indicating a substantial market for products like Ribbon that aid in the UX design process.

Test Management by Testsigma

Cursor for testers. Agentic testing for product and QA teams
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Problem
Users currently rely on manual or fragmented tools for test management, leading to time-consuming test case generation, inefficient bug tracking, and delayed software releases.
Solution
A test management platform with AI agents that automates the testing lifecycle—generating test cases, executing tests, tracking progress, and creating bug reports—via AI-driven analysis and workflows.
Customers
QA engineers, product managers, and software developers in tech teams seeking AI-powered end-to-end test automation.
Unique Features
End-to-end AI agent integration for requirements analysis, test generation, execution, and reporting within a unified platform.
User Comments
Reduces manual effort in test creation
Accelerates test execution cycles
Simplifies bug reporting
Enhances collaboration for QA teams
Integrates seamlessly with CI/CD pipelines
Traction
Over 10,000 users, $500k+ ARR, and partnerships with 50+ enterprises as per ProductHunt data.
Market Size
The global test automation market is projected to reach $49.9 billion by 2026, driven by demand for AI-driven QA solutions (MarketsandMarkets).

tstAgent

Agent to test agents
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Problem
Users need to manually create and execute test cases and scenarios to evaluate their agent's performance, which is time-consuming and prone to human error.
Solution
A platform that automates the testing process for agents by generating test cases and scenarios, evaluating the agent's performance based on set goals, and determining if the agent achieves its objectives.
Customers
AI developers, software engineers, QA testers, and tech teams responsible for testing and evaluating the performance of agents.
Unique Features
Automated generation of test cases and scenarios
Goal-based evaluation of agent performance
Objective pass/fail assessment of agent's goal achievement
User Comments
Saves us so much time in testing our AI agents!
Accurate and reliable assessment of agent performance.
Great tool for ensuring our agents meet their goals efficiently.
Traction
tstagent has been growing steadily with a user base of 5000+ developers and tech teams utilizing the platform for agent testing.
Market Size
$1.3 billion market size for automated testing tools in 2021, with a projected CAGR of 15.1% from 2021 to 2028.

Buney - Real User Testing and Feedback

Identify and fix hidden bugs and get feedback from users
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Problem
Developers and startups struggle with traditional testing methods, which often do not provide access to a real user base. Traditional methods lack real-world user feedback and can result in missed bugs before launch.
Solution
A platform for real user testing and feedback. Developers can access a community of target users for comprehensive feedback and bug identification to optimize apps before launch.
Customers
Developers and startups who need user feedback to enhance app performance and user experience, often in the pre-launch phase.
Unique Features
Access to a real user base for testing, comprehensive feedback from target users, and community-driven bug identification.
User Comments
Valuable for gaining real user insights before launching.
Great for identifying and fixing critical bugs.
Helpful in optimizing app functionalities.
Facilitates a smooth launch by addressing user concerns.
Offers detailed and targeted user feedback.
Traction
Early-stage product with an emerging user base on Product Hunt; specific financial metrics not disclosed.
Market Size
The global software testing market was valued at $40 billion in 2020 and is expected to grow significantly.