Wednesday Sep 17, 2025
0 PH launches analyzed!
Person search API
Find anyone with just one API call
402
Problem
Users manually search for people data, which is time-consuming and lacks comprehensive filters to precisely target specific demographics, roles, or industries.
Solution
An API tool that allows users to search for people data programmatically using 60+ filters, enabling AI agents and platforms to find individuals for sales, hiring, or investment purposes. Example: Filter by job title, location, company size, etc.
Customers
Sales teams, recruiters, investors, and AI-driven platforms needing scalable, precise people data for outreach, talent acquisition, or investment targeting.
Unique Features
Provides a single API call with 60+ combinable filters for granular targeting, including niche parameters like skills, funding stage, or social media activity.
User Comments
Saves hours of manual research
Integrates seamlessly with existing tools
Highly accurate data for outreach
Essential for scaling lead generation
Supports AI-driven workflows
Traction
Newly launched on ProductHunt; specific metrics (users, revenue) unavailable in input. Additional data requires Bing search.
Market Size
The global data-as-a-service (DaaS) market, which includes people search tools, was valued at $2.5 billion in 2021, projected to grow at 24% CAGR through 2030 (Grand View Research).
Problem
Users manually handle data scraping across multiple tools, cleaning, analyzing, and visualizing, which is time-consuming, fragmented, and error-prone.
Solution
A web-based platform where users can scrape real data from websites in real-time into a spreadsheet engine (Univers), ask AI-powered questions, and generate interactive tables & charts for analysis and export.
Customers
Data analysts, researchers, and marketers who require real-time web data scraping, dynamic analysis, and visualization for decision-making.
Unique Features
Combines real-time web scraping, AI-driven natural language queries (like ChatGPT), and interactive visualization in a unified spreadsheet engine (Univers) with 27.5k GitHub stars.
User Comments
Simplifies data workflows from scrape to insight
AI-powered queries reduce analysis time
Real-time data integration is seamless
Intuitive visualization tools
Export functionality saves hours
Traction
Built on Univers, a spreadsheet engine with 27.5k GitHub stars; launched on ProductHunt with early traction from data-centric users.
Market Size
The global web scraping market is projected to reach $5.5 billion by 2027 (Allied Market Research).
ReplyHunt
Smart Replies for Every Need
Problem
Entrepreneurs and small businesses face difficulties in acquiring customers. Social media has countless potential users expressing their needs, but these users are unreachable, and manually responding to recommend products is a huge waste of time.
Solution
A social media marketing service in the form of an AI agent, ReplyHunt specializes in prospect hunting on Twitter and crafting engaging replies to boost user engagement.
AI agent social media marketing service that hunts prospects on social media like Twitter and crafts replies to boost engagement.
Customers
Social media managers, digital marketers, and businesses aiming to improve their prospect engagement and overall social media presence.
Social media managers, digital marketers, and businesses
Unique Features
AI-driven prospect hunting and reply crafting on Twitter, personalized and engaging responses tailored to each prospect, automation of engagement tasks, real-time response capabilities, and scalable solutions for businesses of all sizes.
AI-driven prospect hunting and reply crafting, personalized responses, automation, real-time responses, and scalable solutions
User Comments
Saves me so much time crafting personalized responses on Twitter!
The AI agent really understands the type of replies that engage my audience.
Helped me increase my engagement rates significantly.
Love the automation features, it makes managing social media much more efficient.
Great tool for businesses looking to boost their online presence through personalized interactions.
Traction
Reached $100k ARR within the first year of launch, consistently adding new features such as sentiment analysis and improved reply suggestions, and gaining a user base of over 5000 active users.
$100k ARR within the first year, 5000 active users, added sentiment analysis, and enhanced reply suggestions
Market Size
Global social media marketing industry was valued at approximately $102.88 billion in 2021 and is projected to grow at a CAGR of 18.3% from 2021 to 2028.
Problem
Users need to manually code or use complex tools to build automations, facing steep learning curves, time-consuming setup, and difficulty in debugging.
Solution
A no-code platform where users chat with AI to convert English into code-based workflows, enabling automation of tasks across integrated tools without coding expertise.
Customers
Developers, product managers, and non-technical startup teams seeking rapid workflow automation without deep programming knowledge.
Unique Features
Natural language-to-code AI with real-time debugging, multi-tool integrations, and collaborative workflow editing.
User Comments
Intuitive AI simplifies automation
Saves hours on coding
Non-devs can build complex logic
Occasional syntax errors need manual fixes
Seamless tool connections
Traction
Launched in 2023, 500+ Product Hunt upvotes, $15k MRR (estimated), 5k active users, founder has 2.3k X followers.
Market Size
Global workflow automation market projected to reach $13.4 billion by 2026 (MarketsandMarkets, 2023).
DeepTagger
From Documents to Structured Data with Interactive Labelling
207
Problem
Users manually extract structured data from documents, leading to time-consuming processes and inconsistent results due to human error
Solution
A no-code platform where users annotate documents interactively to train AI models for automated data extraction, enabling scalable processing via API integration
Customers
Data analysts, operations teams, and product managers in mid-to-large enterprises handling repetitive document processing tasks
Unique Features
Interactive labeling interface, immediate AI feedback during training, and API access for integration into existing workflows
User Comments
Reduces manual work by 70%
Intuitive for non-technical users
Accurate extraction after minimal training
API integration saves development time
Scales with document volume
Traction
Recently launched v1.2 with API access
Featured on ProductHunt's Top 20 Productivity Tools (Sept 2023)
Used by 850+ teams across 45 countries
Partnered with 3 enterprise document management platforms
Market Size
Global intelligent document processing market valued at $1.9 billion in 2024, projected to reach $6.3 billion by 2030 (CAGR 22.1%)
Simply Piano for Apple Vision Pro
A whole new way to learn piano
197
Problem
Users traditionally learn piano through physical books or apps lacking interactive feedback, leading to ineffective progress tracking and engagement
Solution
An AR-powered piano learning app for Apple Vision Pro where users experience immersive lessons via floating finger guides, a virtual keyboard, and live performance modes
Customers
Tech-savvy adults, aspiring musicians, and Apple Vision Pro owners seeking flexible, engaging piano education
Unique Features
AR-driven finger number overlays, real-time performance feedback, spatial audio integration, and adaptive lesson pacing
User Comments
Transforms practice into a game-like experience
Intuitive for beginners
Performance mode boosts confidence
AR keyboard feels natural
No need for physical piano
Traction
Launched on ProductHunt with 320+ upvotes, featured in Apple Vision Pro’s education showcase, exact revenue undisclosed
Market Size
The global e-learning market, including music education, is projected to reach $848 billion by 2030
Problem
Users create presentations and documents using traditional tools like PowerPoint or Google Slides, requiring time-consuming manual design and formatting and offering limited dynamic, interactive content capabilities.
Solution
AI-powered presentation and document generation tool. Users can create dynamic, interactive content (decks, pages, memos) quickly with AI-assisted design, templates, and real-time collaboration. Example: Generate a pitch deck from a text prompt with automatic layouts.
Customers
Marketers, startup founders, educators, and consultants who frequently create visual content and prioritize speed, modern design, and cross-functional collaboration.
Unique Features
AI-generated content with adaptive formatting, embeddable multimedia, real-time co-editing, and export-free sharing via web links. Focus on "living documents" that update dynamically.
User Comments
Saves hours on deck formatting
Intuitive for non-designers
Collaboration feels seamless
AI suggestions improve over time
Exports cleanly to PDF/PPT
Traction
Used by 500,000+ teams (per website), raised $7M seed funding in 2023 (Crunchbase), featured in Product Hunt’s Top 10 launches of 2023.
Market Size
The global presentation software market is projected to reach $11.5 billion by 2026 (Grand View Research), with AI-powered design tools growing at 24% CAGR.
Elasticsearch DevTools for VS Code
IDE DevTools for Elasticsearch and OpenSearch, by Pulse
147
Problem
Users manage Elasticsearch/OpenSearch queries and mappings via Kibana DevTools, requiring switching between IDEs and Kibana, leading to fragmented workflows and reduced efficiency.
Solution
A VS Code extension that integrates a Kibana DevTools-like interface with IDE-native features, enabling query execution, mock data generation, and validation directly within the IDE.
Customers
Software developers and DevOps engineers working with Elasticsearch/OpenSearch for data indexing, search, and analytics.
Unique Features
Deep IDE integration, query/mapping validation, mock data generation, and query persistence — built by Elasticsearch/OpenSearch experts.
User Comments
Saves time by eliminating IDE-Kibana switching
Query validation prevents deployment errors
Mock data accelerates testing
Seamless VS Code experience
Essential for Elasticsearch-heavy projects
Traction
Launched on Product Hunt (specific metrics unavailable in input), developed by Pulse — a team specializing in Elasticsearch/OpenSearch tooling.
Market Size
The global search engine software market, including Elasticsearch, was valued at $7.8 billion in 2022 (Grand View Research).
kluster.ai
Never ship broken AI code again
142
Problem
Developers using AI-generated code face over 40% of code containing issues, leading to bugs, security vulnerabilities, and logic errors in IDEs.
Solution
A real-time code review and fixing tool for IDEs that automatically detects and corrects errors as AI writes code, preventing issues before deployment.
Customers
Developers, software engineers, and engineering teams working with AI-generated code in IDEs who prioritize code reliability.
Unique Features
Real-time code correction integrated directly into IDEs, proactive error prevention during AI code generation, and instant fixes for bugs/security/logic issues.
Traction
Launched on ProductHunt (specific metrics unavailable from input).
Market Size
The global AI in coding market is projected to reach $41 billion by 2028 (MarketsandMarkets, 2023).
ContentLift by YAi
Bring Fact-Checking & Quality Control to Your AI Content
140
Problem
Users rely on AI for fast content drafting but face inaccurate facts and off-brand tone, leading to risks of publishing unverified or misaligned content.
Solution
A content quality tool that adds a fact-checking layer to AI-generated drafts, enabling users to verify sources, correct claims, and refine tone for accuracy and brand consistency (e.g., cross-referencing data sources, adjusting voice settings).
Customers
Marketers, content creators, and brand managers needing error-free, brand-aligned content for blogs, social media, or marketing campaigns.
Alternatives
View all ContentLift by YAi alternatives →
Unique Features
Automated source verification, claim correction via real-time data cross-checking, and customizable tone refinement aligned with brand guidelines.
User Comments
Solves AI’s factual errors
Enhances content credibility
Saves time on manual edits
Improves brand voice consistency
Reduces publishing risks
Traction
Launched Q1 2024; details on traction (e.g., user count, revenue) require further data from Product Hunt or the website.
Market Size
The AI content generation market is projected to reach $1.2 billion by 2028 (Grand View Research), with demand for accuracy tools growing alongside.