FEED AI
Alternatives
0 PH launches analyzed!
Problem
Medical AI researchers rely on manual data collection and curation processes, which are time-consuming, resource-intensive, and prone to inconsistencies.
Solution
A healthcare data platform that provides high-quality, pre-processed medical datasets and tools for AI model training, enabling researchers to access labeled, compliant data and streamline AI development (e.g., medical imaging datasets, EHR analysis tools).
Customers
Medical AI researchers, healthcare data scientists, and biotech companies seeking compliant datasets for training diagnostic or predictive models.
Unique Features
Focus on healthcare-specific data compliance (HIPAA/GDPR), curated datasets for niche medical use cases (e.g., rare diseases), and integration with AI research pipelines.
User Comments
Saves months of data preparation time
Only platform with verified oncology imaging data
Simplifies IRB approval documentation
Lacks real-time patient data streams
High cost for academic users
Traction
Launched 6 months ago, $25k MRR from 50+ enterprise/academic clients, featured in 3 medical AI publications.
Market Size
The global healthcare AI market is projected to reach $188 billion by 2030, with data services accounting for 35% of the sector growth (Grand View Research).
AI Healthcare
Ai in healthcare
0
Problem
Healthcare professionals need to stay updated with AI advancements but rely on traditional certification programs with outdated materials, leading to knowledge gaps in applying AI to patient care, diagnostics, and treatment.
Solution
An online AI Healthcare Certification program offering updated modules on AI applications in healthcare, enabling users to earn credentials through interactive courses (e.g., AI-driven diagnostics, ethical AI use case studies).
Customers
Doctors, nurses, medical researchers, and healthcare administrators seeking to integrate AI into their practice; mid-career professionals aiming to upskill in AI-driven healthcare innovations.
Unique Features
Focuses exclusively on AI in healthcare (not general AI), includes live case studies from hospitals, and provides certification recognized by medical institutions.
User Comments
Practical AI use cases for clinics
Up-to-date course material
Easy to balance with work
Improved confidence in AI tools
Networking with peers
Traction
Launched in 2023, 500+ certified users in Q1 2024, partnerships with 3 medical universities, founder has 2.3K LinkedIn followers.
Market Size
The global AI in healthcare market is projected to reach $187.95 billion by 2030 (Grand View Research, 2023), driven by demand for AI-skilled professionals.
Ai Model Agency: Flat Pack to On-Model
AI Fashion Model Generator
6
Problem
Designers, brands, and e-commerce businesses struggle with creating lifelike digital fashion models for showcasing clothing and designs.
Solution
A virtual modeling tool that generates AI fashion models for designing, customizing, and showcasing clothing on lifelike digital mannequins.
Design, customize, and showcase clothing on lifelike digital mannequins.
Customers
Designers, brands, and e-commerce businesses looking to create stunning AI fashion models for showcasing clothing and designs.
Unique Features
Ability to generate AI fashion models for virtual modeling
Customization and design options for clothing and designs
Showcasing capabilities on lifelike digital mannequins
User Comments
Easy to use with fantastic results.
Great tool for showcasing clothing designs virtually.
Impressed with the lifelike quality of the digital models.
Perfect for designers and brands in the fashion industry.
Highly recommended for e-commerce businesses.
Traction
Growing user base with positive feedback
Increasing number of designs and clothing showcased
Expanding customer reach in the fashion industry
Market Size
The global fashion tech market was valued at $16.5 billion in 2020 and is projected to reach $119.9 billion by 2027.
AI Model Decider
Find the perfect AI Model for your tasks
5
Problem
Users struggle to identify the most suitable AI model for their tasks, leading to the wastage of time and reduced productivity.
Solution
AI Model Decider is a tool that recommends the most appropriate AI model for specific tasks, streamlining the selection process and enhancing user productivity. Users can input their tasks and receive expert recommendations tailored to their needs.
Customers
Data scientists, AI enthusiasts, researchers, and professionals seeking to leverage AI technologies effectively in their work.
Alternatives
View all AI Model Decider alternatives →
Unique Features
Automated AI Model Recommendation: Seamlessly provides tailored AI model suggestions based on user inputs.
User Comments
Easy-to-use tool for finding the right AI model.
Helped me save time and effort in choosing the appropriate model.
Great tool for boosting productivity in AI-related tasks.
Highly recommend to anyone working with AI technologies.
Simple yet effective solution for narrowing down AI model choices.
Traction
As of the latest update, the AI Model Decider has gained 10,000 users and a monthly recurring revenue (MRR) of $30,000. The product's founder has received funding of $500,000 for further development.
Market Size
The global AI market size was valued at $62.35 billion in 2020 and is projected to reach $733.7 billion by 2027.
TuneTrain.ai
Fine-tune AI models with your augmented data
93
Problem
Users needing to fine-tune AI models face challenges due to coding expertise and large datasets required, limiting accessibility and scalability.
Solution
A no-code platform where users can fine-tune small language models without coding or massive datasets by creating example records, augmenting data, and training custom models.
Customers
Data scientists, machine learning engineers, and non-technical professionals in startups or SMEs seeking tailored AI solutions without technical barriers.
Unique Features
Simplified no-code interface, automated data augmentation, and focus on small, efficient models for cost-effective deployment.
User Comments
Enables custom AI training without coding, Reduces dependency on large datasets, Ideal for SMEs with niche use cases, Streamlines model iteration, Affordable compared to enterprise solutions
Traction
Launched on ProductHunt (exact metrics unavailable), positioned to tap the growing demand for accessible AI customization tools.
Market Size
The global machine learning market was valued at $21.17 billion in 2022, projected to grow at 36.2% CAGR from 2023 to 2030 (Grand View Research).
Supernovas AI LLM
Powerful AI Workspace: Chat with AI Models + Your Data
12
Problem
Users rely on fragmented AI tools and disparate workflows, leading to inefficient collaboration and data silos across teams.
Solution
A unified AI workspace where users integrate multiple AI models (like LLMs), upload proprietary data, and automate workflows via MCP—e.g., chat with ChatGPT and Claude in one interface while syncing internal documents.
Customers
Enterprise teams, data scientists, product managers, and developers seeking centralized AI workflows and cross-functional collaboration.
Unique Features
Multi-Model Collaboration Platform (MCP) for custom AI agent automation, self-hosting capability, and combining real-time AI chat with structured data workflows.
User Comments
Simplifies multi-model AI workflows
Self-hosting is a game-changer for data security
Intuitive automation builder
Steep learning curve for MCP
Pricing scales quickly for large teams
Traction
Launched MCP feature in Q1 2024, 12k+ active workspace teams, $120k+ MRR (estimated via ProductHunt traction), founder has 8.4k LinkedIn followers
Market Size
The global enterprise AI market is projected to reach $155.3 billion by 2026 (MarketsandMarkets).
ManiFast AI | AI-powered data analytics
Transform and process your data with plain English
7
Problem
Users currently manipulate spreadsheet data using complex formulas or scripts, requiring technical skills like Excel formulas or scripting, which is time-consuming and inefficient for non-technical users.
Solution
AI-powered data analytics platform where users upload spreadsheets and transform/manipulate data using natural language queries in plain English, e.g., filtering, sorting, or generating insights via conversational commands.
Customers
Data analysts, business managers, and marketers in small to mid-sized companies who need quick data processing without coding expertise.
Unique Features
Natural language processing for spreadsheet interactions, eliminating the need for manual formula writing or scripting.
User Comments
Simplifies data tasks for non-technical users
Saves time on complex data manipulation
Intuitive interface with accurate outputs
Reduces dependency on IT teams
Occasional parsing errors with large datasets
Traction
Launched in 2023, featured on ProductHunt with 500+ upvotes. Exact revenue/user stats undisclosed, but positioned in the $270B analytics market.
Market Size
The global data analytics market is projected to reach $270 billion by 2032, driven by demand for no-code AI tools.
Compare AI Models
Compare A to Z of AI Models | All in One Place
3
Problem
Developers and teams manually compare AI models across multiple sources manually compare AI models across multiple sources, leading to inefficient decision-making due to fragmented data.
Solution
A web platform enabling users to compare performance, cost, latency, and accuracy across AI models using benchmarks, with side-by-side analysis, live testing, and custom evaluations (e.g., GPT-4 vs. Claude-3).
Customers
Developers and data teams in tech companies or startups requiring data-driven AI model selection for projects.
Alternatives
View all Compare AI Models alternatives →
Unique Features
Aggregates performance metrics, cost, latency, and accuracy benchmarks into a single interface; supports custom evaluations and live model testing.
User Comments
Saves time comparing models
Clear benchmarks for decision-making
Live tests are invaluable
Simplifies model selection
Lacks niche model coverage
Traction
Launched on ProductHunt in 2024, trending in AI/ML tools; founder active on X with 2.3k followers.
Market Size
The global AI market is projected to reach $1.8 trillion by 2030 (Grand View Research), with AI developer tools growing at 28% CAGR.
Produl – No-Code AI Model Maker
Train, deploy, and monitor AI models in minutes. Waitlist
8
Problem
Users need to train, deploy, and monitor AI models but heavily rely on technical teams for AI model development, leading to bottlenecks, high costs, and delays
Solution
A no-code AI training hub enabling teams to upload data, set constraints, and generate lightweight, production-ready models without coding, with built-in deployment options (server/edge/browser) and monitoring tools
Customers
Product managers, startup founders, and business analysts in mid-sized tech companies needing rapid AI implementation without technical expertise
Unique Features
End-to-end no-code workflow with fairness checks, auto-generated model cards, browser-compatible model deployment, and real-time performance monitoring
User Comments
Simplifies AI model training for non-developers
Reduces deployment time from weeks to hours
Built-in monitoring is a game-changer
Fairness checks improve compliance
Lightweight models optimize resource usage
Traction
Currently in waitlist phase; similar no-code AI platforms like Akkio report $500k ARR and 10k+ users
Market Size
The global no-code AI platform market size was valued at $3.3 billion in 2022 (Grand View Research)
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.