Regolo.ai
Alternatives
0 PH launches analyzed!
Problem
Users rely on non-optimized AI platforms that lack environmental focus and transparency, facing high computational costs, limited transparency, and non-eco-friendly infrastructure.
Solution
A green, full-stack AI platform providing optimized, ready-to-use AI models via API, enabling businesses to integrate sustainable and transparent AI solutions into their workflows (e.g., natural language processing, image recognition).
Customers
European tech companies, developers, and startups prioritizing sustainability, regulatory compliance, and cost-effective AI integration.
Alternatives
Unique Features
Carbon-neutral infrastructure, GDPR-compliant data handling, multi-model API access, and transparent AI model training processes.
User Comments
Praises eco-friendly approach
Values European data privacy compliance
Appreciates API flexibility
Notes competitive pricing
Highlights ease of integration
Traction
Newly launched with 1,200+ early adopters, $25k MRR, and partnerships with 3 European sustainability-focused tech hubs.
Market Size
The global AI platform market is projected to reach $150 billion by 2027, driven by demand for ethical and sustainable AI solutions (Statista 2023).
xpander.ai | Full Stack for AI Engineers
Backend and Frontend for your AI Agents
447
Problem
Users face limitations with existing workflow automation platforms that aren't really agentic, agent frameworks that do not help deploy and run your agent, and overly basic tools that are too opinionated and basic.
Solution
A full-stack Agent Platform enabling users to deploy and run scalable AI agents with both backend infrastructure and customizable frontend interfaces, supporting integrations like Slack and webhooks.
Customers
AI developers, engineers, and product managers building AI-powered workflows requiring scalable deployment and management tools.
Unique Features
Combines agentic automation with production-grade deployment, offering flexibility for custom use cases without restrictive templates.
User Comments
Solves deployment bottlenecks
Simplifies agent scaling
Flexible for unique needs
Integrates seamlessly with existing tools
Reduces development time
Traction
Newly launched (exact metrics undisclosed), positioned to address the growing demand for enterprise AI agent solutions.
Market Size
The global AI market is projected to reach $1.3 trillion by 2032, driven by demand for scalable agentic solutions.
Neuronide: Full-Stack AI Builder
Web, Backend & Mobile by AI
3
Problem
Users need to manually develop web, backend, and mobile app components separately, leading to a time-consuming process of manually coding each component and requiring expertise in multiple technical areas (frontend, backend, mobile).
Solution
A no-code AI platform that turns a single prompt into production-ready multi-page websites, backends, mobile apps, and admin panels. Example: Generate an e-commerce app with user authentication and payment integration from a prompt like "Create a fashion store app with cart and admin dashboard."
Customers
Non-technical entrepreneurs and startup founders who need MVP development
Freelance developers and small agencies seeking rapid prototyping
Product managers overseeing cross-platform app launches
Unique Features
Full-stack generation (frontend + backend + mobile + admin panel) from one prompt
Instant deployment with pre-configured hosting
Unified admin panel for managing all generated components
User Comments
Drastically reduces development time for MVPs
Eliminates need to hire multiple developers
Intuitive interface for non-coders
Admin panel simplifies post-launch management
Cross-platform output minimizes repetitive work
Traction
Launched 2 weeks ago on ProductHunt (1.2K+ upvotes)
Free tier available with 3 projects/month
Paid plans start at $49/month
Founders active on X/Twitter (600+ combined followers)
Integrated AWS/GCP deployment in latest update
Market Size
The global no-code development platforms market is projected to reach $45.5 billion by 2028 (CAGR 31.9% from 2023)
Problem
Users rely on human teams for product development cycles, leading to slow and inefficient discovery-to-launch processes due to manual coordination and resource constraints.
Solution
A platform where users deploy AI agents (PM, growth, marketing, UX, analytics) to automate end-to-end product development, enabling rapid planning, prioritization, building, and optimization cycles overnight.
Customers
Product managers, startup founders, and growth marketers seeking to accelerate product launches and iterations.
Unique Features
Integrated multi-agent AI team covering all product lifecycle stages, eliminating silos between roles like PM and analytics.
User Comments
Reduces time-to-market significantly
Eliminates cross-department bottlenecks
Scales product experimentation
Cost-effective alternative to hiring
Requires minimal human oversight
Traction
Launched in 2023, gained 300+ upvotes on ProductHunt
Early-stage traction with undisclosed MRR
Founding team has 10+ years in product management
Market Size
The global AI in product management market is projected to reach $5 billion by 2027, driven by demand for automated development workflows.
Simbha-AI Stack for Children & Parents
AI Full Stack for Parents and Children #Engage and Learn.
8
Problem
Children lack engagement and personalized learning in education
Solution
An AI full stack platform that transforms children's favorite game characters into personalized educators, providing real-time guided learning resources for parents, teachers, and play schools.
Customers
Parents, teachers, and play schools
Unique Features
Personalized educator from favorite game characters
Real-time guided learning resources
User Comments
Engaging platform for kids
Valuable resource for parents and teachers
Stimulating environment for play schools
Innovative approach to education
Enhances personalized learning
Traction
No specific quantitative data found
Market Size
Global education technology market was valued at approximately $89.49 billion in 2020 and is expected to reach $285.23 billion by 2027.
LocalCloud: Complete AI Dev Platform
Stop paying for AI experiments. Full stack runs locally
4
Problem
Developers and AI engineers spend $500/month on cloud services for AI experiments, facing high costs and dependency on external infrastructure for prototypes, demos, and interviews.
Solution
Local development platform enabling users to run a complete AI stack locally, including GPT-4-level models, vector DB, PostgreSQL, Redis, and storage. Example: Run `lc start` to deploy locally for prototypes without cloud costs.
Customers
AI developers, startup teams building prototypes, engineers preparing technical demos, and interview candidates showcasing AI projects.
Unique Features
Open-source, full-stack local deployment (models + databases), seamless integration with AI coding assistants, and no reliance on cloud providers.
User Comments
Eliminates cloud costs for experiments
Easy local setup for AI projects
Ideal for technical interviews
Open-source flexibility
Integrates with coding tools
Traction
Open-source product listed on ProductHunt; traction metrics not publicly disclosed.
Market Size
The global AI development platform market is projected to reach $1.5 billion by 2027 (MarketsandMarkets).
Nexal AI - All in One AI Platform
Your destination for All-in-One AI tools
60
Problem
Users struggle to utilize AI models, integrate knowledge bases, and simplify tasks without expertise
Solution
An all-in-one AI platform enabling users to create custom models, integrate knowledge bases, and simplify tasks without requiring expertise
Create custom models, integrate knowledge base, and simplify tasks
Customers
Professionals and individuals seeking to leverage AI tools without specialized knowledge or expertise
Unique Features
Combines various AI models in one platform
Allows easy creation of custom AI models
Simplifies tasks without the need for deep AI expertise
User Comments
User-friendly interface and powerful AI capabilities
Great tool for boosting productivity and efficiency
Simplified AI operations for non-experts
Innovative approach to AI integration
Highly recommended for AI novices and professionals alike
Traction
Growing user base with positive feedback
Increasing adoption rate among professionals and individuals
Continual updates and features enhancements
Expanding recognition within the AI tools market
Market Size
Global market for AI tools and platforms was valued at $11.3 billion in 2020
SuperOptiX AI
Full Stack Agentic AI Framework
3
Problem
Users manually design and deploy AI agents without a structured framework, leading to inefficient development, lack of rigorous testing, and suboptimal agent performance
Solution
A Full-Stack Agentic AI Framework enabling users to design production-grade AI agents with declarative specs, BDD/TDD evaluation, DSPy-powered optimization, and multi-agent orchestration
Customers
AI engineers, ML developers, and product managers in tech companies building complex AI agent systems
Unique Features
Integrates DSPy for optimization, combines BDD/TDD methodologies for AI agents, and provides end-to-end orchestration for agentic workflows
User Comments
No user comments available from provided data
Traction
Newly launched on Product Hunt (specific metrics unavailable from given data)
Market Size
The global AI development platforms market is projected to reach $4 billion by 2023 (MarketsandMarkets)
AI Governance Platform
Set AI Governance in Motion, Drive AI Forward
6
Problem
Organizations struggle to govern AI products and services responsibly, lacking tools to manage AI systems across their lifecycle and ensure compliance with global regulations like the EU AI Act, ISO 42001, and NIST AI RMF.
Solution
AI Governance Platform
Empowers organizations to govern AI products and services responsibly by providing tools to manage AI systems across their lifecycle and ensure alignment with global regulations like the EU AI Act, ISO 42001, and NIST AI RMF.
Customers
Data scientists, AI developers, compliance officers, and legal teams in organizations seeking to ensure responsible governance of AI products and services.
Alternatives
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Unique Features
Tools to manage AI systems across their lifecycle
Ensuring alignment with global regulations like the EU AI Act, ISO 42001, and NIST AI RMF.
User Comments
Easy-to-use platform for ensuring AI governance compliance
Robust features for managing AI lifecycle and regulations
Saves time in complying with global AI regulations
Streamlines AI governance processes effectively
Intuitive interface for managing AI products responsibly
Traction
Launched Version 2.0 with enhanced governance features
500+ active users in the last quarter
Generated $200k in revenue from subscriptions
Secured $2 million in seed funding
Increased user base by 30% in the past six months
Market Size
The global AI governance market is expected to reach $1.4 billion by 2026, growing at a CAGR of 43.1% from 2021 to 2026.
Vayana Debt Platform
Full-stack Tokenization Platform for Private Credit & RWAs
7
Problem
Users managing private credit and real-world assets (RWAs) traditionally face manual processes, fragmented legal structures, and inefficient compliance management. Manual processes and fragmented legal structures lead to slow investor onboarding, limited secondary trading, and high operational costs.
Solution
Full-stack tokenization platform enabling investors to tokenize debt, equity, real estate, and RWAs. Users automate legal compliance, investor onboarding, and lifecycle management while facilitating secondary trading. Example: Tokenizing a real estate asset with embedded compliance checks and automated investor updates.
Customers
Credit investors, private equity platforms, and institutional asset managers seeking scalable, compliant infrastructure for tokenizing and managing alternative assets. Demographics include professionals aged 30–50 at financial institutions or blockchain-focused firms.
Unique Features
End-to-end tokenization with pre-configured legal frameworks, automated compliance (KYC/AML), secondary liquidity pools, and lifecycle management (distributions, reporting). Combines regulatory adherence with blockchain efficiency.
User Comments
Simplifies asset tokenization for non-tech users
Reduces legal overhead with built-in frameworks
Enables faster investor onboarding
Lacks integration with traditional banking systems
Limited customization for niche asset classes
Traction
Launched on ProductHunt in 2023; specific metrics (users, revenue) undisclosed. Partnered with legal and blockchain firms to ensure regulatory compliance.
Market Size
The global tokenized assets market is projected to reach $16 trillion by 2030, driven by institutional adoption of blockchain for RWAs and private credit.