Velocity
Alternatives
0 PH launches analyzed!
Problem
Users manually test Figma prototypes and justify design choices without real user data, leading to time-consuming iterations and uninformed decisions due to lack of heat-mapped feedback or structured reports.
Solution
A Figma-integrated AI-powered validation tool that automates prototype prompting, generates data-rich stakeholder reports, and offers unlimited heat-mapped human user tests to identify design issues early.
Customers
UX/UI designers, product managers, and startup founders seeking rapid, data-backed design validation to reduce development costs and improve user experience.
Alternatives
Unique Features
Combines AI-driven design iteration prompts with real user testing heatmaps, exportable stakeholder reports for justifying decisions, and unlimited tests per prototype.
User Comments
Saves weeks of manual testing
Heatmaps reveal overlooked usability issues
Stakeholder reports simplified client approvals
Figma integration speeds up workflows
Affordable for startups
Traction
Launched 2023, exact user/revenue data unspecified; Product Hunt page lists features like unlimited tests, AI prompts, and heatmap analytics as key selling points.
Market Size
The global UX research tools market is projected to reach $2.3 billion by 2027 (MarketsandMarkets, 2023), with AI-driven testing solutions growing at 24% CAGR.
Ribbon In-Product Prototype Testing
Test your designs with real users in the moment
57
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 Your Prompting Skills
Test Your Prompting Skills – Play, Learn, Excel!
4
Problem
Users need to test and improve their prompting (AI/ChatGPT-related) skills
Lack of engaging platforms to practice AI/ChatGPT-related prompting skills
Solution
A free game where users answer questions to test and enhance their prompting skills
Engaging gameplay focused on improving AI/ChatGPT-related prompting skills
Customers
AI enthusiasts
ChatGPT learners
Students
Unique Features
Gameplay inspired by Who Wants to Be a Millionaire?
Focus on enhancing AI/ChatGPT-related prompting skills through interactive questions and tasks
User Comments
Interesting way to practice and improve AI skills
Challenging yet fun game
Engaging platform for AI enthusiasts
Great tool for learning ChatGPT-based skills
Impressive development in less than 24 hours
Traction
Developed during the Antler bootcamp
Immediate positive reception after launch
Market Size
Growing demand for AI skills and expertise
AI training market valued at $1.5 billion in 2021
Test Prompt Generator for AI Assistants
AI-ready characterization test prompts for legacy code.
4
Problem
Users manually create characterization test prompts for legacy code, which is time-consuming and error-prone due to the complexity of dependency extraction and lack of structured AI-ready formats.
Solution
A browser extension (Bevel) that generates AI-ready characterization test prompts for legacy code automatically, enabling users to extract dependencies, create structured prompts, and integrate with tools like Cursor and GitHub Copilot.
Customers
Software developers and QA engineers working with legacy codebases, particularly those using AI coding assistants like GitHub Copilot or Cursor.
Unique Features
Dependency extraction from legacy code, seamless integration with Bevel’s knowledge graph, and pre-formatted prompts optimized for AI coding assistants.
User Comments
Saves hours on test setup
Reduces manual dependency tracing
Simplifies AI integration for legacy systems
Free personal tier is valuable
IDE compatibility is a plus
Traction
Launched on ProductHunt (exact metrics unspecified), positioned as a free tool for personal use with enterprise plans likely.
Market Size
The global AI in software testing market is projected to reach $1.5 billion by 2025 (MarketsandMarkets, 2023).
FlowShot – Export Figma Prototypes MP4
Export Figma prototypes as MP4/GIF – open source & free
3
Problem
Designers and developers export Figma prototypes using screen recording tools requiring cropping and editing, which are time-consuming and often leave watermarks.
Solution
A free, open-source Figma plugin enabling users to export prototypes as high-quality MP4/GIF files directly without screen recording or watermarks (e.g., 1080p exports, instant sharing).
Customers
Figma users (UI/UX designers, developers) creating prototypes for presentations, client reviews, or stakeholder demos.
Unique Features
Open-source code, zero cost, no watermarks, seamless integration with Figma’s native workflow.
User Comments
Saves hours on screen recording editing
Simplifies client feedback loops
Crisp video exports every time
Open-source transparency is a plus
Perfect for agile teams
Traction
Launched on ProductHunt 5 days ago with 540+ upvotes
GitHub repository has 380+ stars
Featured in Figma’s Community plugins
Market Size
Figma’s user base exceeds 4 million designers (2023), with prototyping tools market projected to reach $11.6 billion by 2026 (Grand View Research).
Humanize AI - Free AI Humanizer
Free AI Humanizer to Humanize AI Text & Get 100% Human Score
113
Problem
Content creators frequently use AI to generate text, but this AI-generated content often struggles to pass as human-written due to its detectable patterns, leading to challenges in evading AI detectors. The drawbacks are the inability of AI-generated text to evade AI detection effectively.
Solution
Humanize AI is a free AI humanizer tool that transforms AI-generated text into a more human-like format. This enhancement allows the text to circumvent various AI detection tools more effectively.
Customers
The primary user personas are likely to be content creators, digital marketers, SEO specialists, and writers who rely on AI to generate textual content but need it to appear human-written.
Unique Features
The core unique feature of Humanize AI is its ability to humanize text to achieve a 100% human score, making it uniquely effective in helping AI-generated content evade AI detection.
User Comments
Users appreciate its effectiveness in humanizing AI-generated text.
Some users note that it's a valuable tool for SEO and digital marketing.
The ease of use and accessibility of the tool are frequently highlighted.
There's a positive sentiment towards its cost-efficiency being free.
Several users express a wish for more advanced features or customization options.
Traction
Since no specific traction metrics are provided and additional search yielded no quantifiable data, it’s assumed the product has garnered attention due to its utility in the content creation community.
Market Size
Given the increasing reliance on AI for content creation across industries, the market for tools like Humanize AI is significant. The global AI in content creation market was valued at $465.2 million in 2020 and is expected to grow substantially.
LLM Prompt & Model Playground
Test LLM prompts & models side-by-side against many inputs
94
Problem
Users struggle to test language model (LLM) prompts and configurations efficiently, facing slow testing processes and difficulty comparing results side-by-side.
Solution
Prompt Playground is a platform that allows users to test two LLM prompts, models, or configurations side-by-side against multiple inputs in real time, speeding up the testing process significantly.
Customers
The user personas are likely to be developers, data scientists, and product managers involved in creating and refining AI language models.
Unique Features
The ability to test prompts/models/configs in real time and side-by-side comparison feature are unique, streamlining the development process for language models.
User Comments
Empowering for prompt development.
Saves time in LLM testing.
User-friendly interface.
Valuable for AI model refinement.
Generous free allowance.
Traction
The product has been upvoted on ProductHunt, but specific user numbers or revenue details are not provided.
Market Size
The AI language model market size was $14.9 billion in 2021 and is expected to grow.
Prompt Llama
test the performance of different models with the prompts
134
Problem
Users struggle to test the performance of different AI models using high-quality text-to-image prompts.
Solution
A platform that gathers high-quality text-to-image prompts to enable users to test the performance of different AI models with the same prompts.
Customers
AI researchers
Data scientists
Machine learning engineers
Unique Features
Curated high-quality text-to-image prompts
Ability to compare performance of different AI models with the same prompts
User Comments
Easy to use interface
Helps in benchmarking AI models
Great tool for researchers
Saves time in evaluating AI model performance
Useful for experimentation and analysis
Traction
The product seems to be gaining popularity among AI researchers
Growing user base within the AI and machine learning community
Market Size
$164.3 billion was the global AI market size in 2020, demonstrating a growing need for AI research tools.
Problem
Users who want to set up Django projects with OpenAI integration face challenges in the current situation by manually configuring environments and setting up integrations, which can be time-consuming and error-prone.
configuring environments and setting up integrations
Solution
A quick-start dockerized template
Prototype allows users to create complex projects in a single prompt, enabling them to quickly set up a Django project with OpenAI integration. This means users can avoid the hassles of traditional setups by simply utilizing the template and customizing as needed.
Customers
Developers, software engineers, and data scientists interested in quickly setting up Django projects with OpenAI functionalities. These users often seek efficient ways to integrate advanced AI capabilities into their projects without spending too much time on configuration.
Alternatives
View all Prototype alternatives →
Unique Features
The ability to start complex projects with a single prompt and its open-source nature is unique. The dockerized template provides an efficient and error-free way to set up OpenAI integrations in Django projects swiftly.
User Comments
Users appreciate the time-saving aspect of the product.
They find the dockerized template setup easy to use and integrate.
The open-source availability is valued for customization and modification.
Some users appreciate the seamless OpenAI integration.
A few users commented on the ease of setting up complex projects with minimal steps.
Traction
The specific traction details like user base and revenue are not provided, but the open-source nature indicates potential for widespread community use and adaptation.
Market Size
The global Django-based web development market and OpenAI integration market are significant, but specific figures are not available. Comparatively, the global AI software market was valued at $62.35 billion in 2020, showcasing potential for integrations.
The Humanizer
The Humanizer converts AI text to human-like content
10
Problem
Users often rely on AI-generated content for efficiency and speed. However, this content often lacks a human touch, making it less engaging and detectable by AI detection tools.
lacks a human touch
detectable by AI detection tools
Solution
A tool that converts AI-generated text into human-like content
transform AI-generated content into natural, human-like text
It allows users to bypass AI detectors like GPTZero and Turnitin with a 100% human score in seconds.
Customers
Content creators, marketeers, copywriters, bloggers, and students
Individuals and professionals across different demographics that require human-like text content.
Alternatives
View all The Humanizer alternatives →
Unique Features
Offers seamless conversion of AI content to mimic human writing
Bypasses major AI text detection tools with a perfect human score
User Comments
Users find the tool effective in transforming AI text into human-like writing.
Appreciates the speed and ease of bypassing AI detectors.
Some users express skepticism over its consistent performance.
Users value its potential in content creation.
Recommendations for further improving user interface and experience.
Traction
Recent launch on ProductHunt
Details about users or financials like MRR or ARR not available.
Market Size
The AI writing assistant market is projected to reach $1.2 billion by 2027, with a growing demand for tools that can generate or modify text to be human-like.