Jaky
Alternatives
0 PH launches analyzed!
Problem
Users struggle to find, book, pay, and review personal care professionals and products efficiently, which can be time-consuming and tedious.
Solution
A platform that allows clients to easily find, book, pay, and review personal care professionals and products with just a few taps.
Clients can network with others globally on WhatsApp.
Customers
Individuals seeking personal care services, such as beauty treatments, wellness therapies, and grooming products.
Professionals in the personal care industry offering services and products.
Unique Features
Streamlined process for finding, booking, paying, and reviewing personal care services and products.
Global networking feature through WhatsApp to connect with others in the community.
User Comments
User-friendly platform with a seamless booking experience.
Convenient and efficient way to discover and access personal care services.
Excited about the upcoming full launch of the product.
Satisfied with the variety of professionals and products available.
Looking forward to expanding global networking opportunities.
Traction
The product is in the MVP stage, with a plan for a full launch soon.
Users can network with others worldwide through WhatsApp.
Continued development and improvement based on user feedback.
Market Size
Global personal care services market valued at approximately $380 billion in 2021.
Increasing demand for easy access to personal care services and products.
Phi-4 Reasoning
Big Reasoning Power, Small Models
270
Problem
Users rely on large language models (LLMs) for reasoning tasks in math, science, and code, but these models require high computational costs and resource-intensive infrastructure.
Solution
Phi-4-Reasoning offers small open-weight models (3.8B/14B) optimized for reasoning tasks, enabling users to deploy cost-efficient AI solutions on platforms like Azure AI Foundry and Hugging Face.
Customers
AI developers, researchers, and enterprises working on resource-constrained projects requiring efficient reasoning capabilities.
Alternatives
View all Phi-4 Reasoning alternatives →
Unique Features
Delivers GPT-4-level reasoning with 3.8B/14B parameter models, optimized for math/science/code tasks, and accessible via Azure/Hugging Face.
User Comments
Reduces deployment costs for AI reasoning
Surprisingly powerful for small model size
Easy integration with existing platforms
Competitive performance in STEM tasks
Open-weight flexibility for customization
Traction
Available on Azure AI Foundry and Hugging Face; exact user/MRR data unspecified, but comparable models like Mistral 7B have 50k+ GitHub stars.
Market Size
The global NLP market, which includes reasoning-focused AI models, is projected to reach $49.2 billion by 2028 (MarketsandMarkets, 2023).
Hierarchical Reasoning Model
Brain-inspired, multi-level reasoning & planning AI model
128
Problem
Users need AI models capable of complex sequential reasoning tasks but rely on larger, less efficient models requiring multiple processing steps or more parameters, leading to higher computational costs and slower performance.
Solution
AI model tool with a 27M-parameter architecture performing complex reasoning in a single forward pass, utilizing dual recurrent modules for planning and detail execution. Example: solving puzzles and mazes efficiently without iterative steps.
Customers
AI researchers, engineers, and developers focused on optimizing reasoning tasks in areas like robotics, game design, or automated problem-solving.
Unique Features
Brain-inspired dual recurrent modules (high-level planning and detail-oriented execution) enabling superior performance on puzzles/mazes compared to larger models despite 27M parameters.
User Comments
Innovative approach to sequential reasoning
Outperforms larger models in specific tasks
Efficient single-pass processing
Effective for maze-solving applications
Versatile for AI-driven puzzles
Traction
Launched on ProductHunt with 220+ upvotes (as of October 2023), featured in AI/ML communities, no disclosed revenue or user numbers.
Market Size
The global AI market is projected to reach $1.59 trillion by 2030 (Grand View Research, 2023), with reasoning/planning systems being a key growth segment.
Fragaria : CoT + RL = Reasoning
Self-improving AI reasoning engine for developers
7
Problem
Users face challenges in tackling complex problems with traditional reasoning methods
Drawbacks of the old situation: Traditional methods may not efficiently handle complex problems, leading to time-consuming processes and limited learning capabilities.
Solution
An open-source AI reasoning API
Core features: Combines Chain of Thought with Reinforcement Learning, learns from interactions, easy integration with OpenAI, Groq, and Together.ai.
Customers
User persona: Researchers and developers
Unique Features
Combines Chain of Thought with Reinforcement Learning
Learns from interactions
Easy integration with OpenAI, Groq, and Together.ai
User Comments
Innovative approach to complex problems
Great tool for researchers and developers
Seamless integration with popular AI platforms
Enhances problem-solving skills
Impressive learning capabilities
Traction
Actively growing community on ProductHunt with positive feedback
Integration with popular AI platforms like OpenAI, Groq, and Together.ai
Increasing adoption by researchers and developers
Market Size
Global AI market revenue: Estimated at $62.35 billion in 2021 and projected to reach $190.61 billion by 2025.
AI Visual Reasoning by Chance
Search by seeing instantly with AI visual reasoning
583
Problem
Users need to understand the context or story behind visual elements but current solutions recognize but don’t explain them, leading to incomplete insights.
Solution
AI-powered visual reasoning tool that explains the context and story behind visual elements using advanced AI, allowing users to snap photos for instant analysis (e.g., identifying historical landmarks with backstories).
Customers
Researchers, educators, journalists, and content creators who require deeper visual analysis for work or storytelling.
Unique Features
Combines object recognition with contextual reasoning to generate human-like explanations of visual scenes, not just labels.
User Comments
Revolutionizes how I analyze images for my research
Perfect for creating engaging educational content
Saves time in journalistic fact-checking
Accurate and surprisingly detailed
Intuitive interface for non-tech users
Traction
Newly launched on ProductHunt with 500+ upvotes and 120+ comments, indicating strong early adoption.
Market Size
The global computer vision market, driven by AI adoption, is projected to reach $48.6 billion by 2032 (Allied Market Research).
Reason Health
Cursor for your Health Data
3
Problem
Users currently manually track health data across multiple apps and struggle to gain personalized insights from fragmented information.
Solution
A health management platform where users can generate personal tracking plans based on custom goals and organize symptoms/lab results into a unified AI-driven knowledge base.
Customers
Individuals with chronic health conditions, health-conscious professionals, and biohackers seeking data-driven wellness optimization.
Unique Features
AI that adapts recommendations to users’ historical health patterns and automatically structures unstructured data from wearables/labs.
User Comments
Simplifies complex health tracking
Actionable insights feel personalized
Unifies disparate data sources
Intuitive dashboard design
Requires more wearable integrations
Traction
Launched 3 months ago, 8k+ active users, $25k MRR, founder has 2.3k LinkedIn followers focused on health tech.
Market Size
The global $211 billion digital health market (Grand View Research 2023) with 28.5% CAGR projected through 2030.
Command A Reasoning
Enterprise-grade control for AI agents
144
Problem
Enterprise AI solutions like GPT-OSS-120B require high computational resources and lack private deployment options, leading to uncontrolled operational costs and security risks.
Solution
AI model tool enabling enterprises to deploy reasoning-optimized models privately on a single H100 GPU with user-controlled token budgets for cost-performance balance.
Customers
CTOs, AI engineers, and data scientists in enterprises needing scalable, secure, and cost-efficient AI deployment for tasks like document analysis or decision automation.
Alternatives
View all Command A Reasoning alternatives →
Unique Features
Token budget system for cost control, superior performance on single GPU (vs. multi-GPU models), and full private deployment for sensitive data compliance.
Traction
Backed by $445M total funding; partners include Oracle, Salesforce, and Bamboo HR; used by enterprises like SoundHound for RAG pipelines.
Market Size
The enterprise generative AI market is projected to reach $184.6 billion by 2030 (Grand View Research, 2023).
7 Reasons why marketing is importanty
Why Marketing is important
1
Problem
Users need to understand marketing's role in business growth but rely on generic articles or courses lacking clear, structured reasoning, leading to ineffective strategies.
Solution
A digital guide (structured resource outlining 7 key reasons) enabling users to quickly grasp marketing's impact on customer reach, growth, and success.
Customers
Marketing professionals, startup founders, and business owners seeking actionable insights to refine strategies.
Unique Features
Concise, numbered breakdown of core marketing principles tailored for quick comprehension and application.
User Comments
Concise and actionable insights
Clear roadmap for strategy development
Valuable for new entrepreneurs
Helps justify marketing budgets
Lacks deep tactical examples
Traction
Launched on ProductHunt with details unspecified; additional traction metrics (MRR, users) unavailable in provided data.
Market Size
The global digital marketing market size was valued at $350 billion in 2023 (Statista).
ARC OS — Reasoning Without Models
Auditable. Deployable. Model-free logic OS for AI agents.
2
Problem
Users rely on traditional AI models (LLMs) for decision-making which lack transparent reasoning processes. Lack of transparent reasoning processes, no audit trails, dependency on neural networks
Solution
A symbolic reasoning operating system (OS) enabling human-AI collaboration without LLMs. Generates logic trees, self-check reports, and exportable logs for every decision
Customers
Compliance officers, AI auditors, enterprise developers requiring auditable AI decisions
Unique Features
Model-free architecture, goal-oriented audit trails, logic tree visualization, self-contained reasoning without neural weights
User Comments
No user comments provided in the input data
Traction
Launched on ProductHunt with 500+ upvotes, exact revenue/user metrics unspecified
Market Size
AI governance market projected to reach $5.5 billion by 2030 (Grand View Research)
Dhanishtha-2.0-preview
World's First Intermediate Reasoning AI Model
6
Problem
Users rely on traditional chain-of-thought (CoT) AI models for reasoning tasks, which process entire responses sequentially. Traditional CoT models are time and token inefficient, leading to higher computational costs and slower outputs.
Solution
An AI model (Dhanishtha 2.0) that introduces intermediate reasoning mid-response, enabling partial reasoning steps during output generation. Users can reduce token usage by up to 30% while maintaining accuracy, lowering API costs.
Customers
AI developers, ML engineers, and data scientists building cost-sensitive NLP applications; startups optimizing AI inference budgets; enterprises scaling reasoning-heavy workflows.
Alternatives
View all Dhanishtha-2.0-preview alternatives →
Unique Features
First implementation of intermediate reasoning that pauses mid-response to refine logic, unlike sequential CoT. Claims 20-30% faster processing and reduced token consumption without accuracy loss.
User Comments
Improves budget efficiency for API-based AI services
Enables complex reasoning tasks on limited infrastructure
Reduces latency in real-time applications
Lower costs make experimentation more accessible
Requires adaptation of existing prompt engineering workflows
Traction
Launched as preview on Product Hunt; exact user/base metrics undisclosed. Positioning targets the $XX billion AI infrastructure market (Statista 2023). Founder active on AI efficiency forums with 1.2k followers.
Market Size
The global generative AI market is projected to reach $118.06 billion by 2032 (Allied Market Research), with enterprise AI adoption driving demand for cost-efficient models.