Cerno : Agentic, Local Deep Research
Alternatives
0 PH launches analyzed!
Cerno : Agentic, Local Deep Research
Local-first AI research with transparent research workflows
2
Problem
Users manage complex queries through inefficient, opaque, and costly research processes, relying on fragmented tools or non-local AI solutions that lack traceability and data control.
Solution
A local-first research platform enabling users to leverage agentic AI to decompose complex queries into verifiable, multi-step workflows, with hybrid model support (cloud/local) and cost optimization while retaining on-device data.
Customers
Researchers, data scientists, and analysts requiring deep, transparent workflows; professionals in academia, enterprise R&D, or consulting prioritizing data privacy and auditability.
Alternatives
Unique Features
Local-first data storage, fully transparent reasoning traces, dynamic switching between cloud/local AI models, and granular cost controls for resource-intensive tasks.
User Comments
Simplifies multi-step research with traceable steps
Cost optimization for large-scale projects
Seamless model switching enhances flexibility
Data privacy is a game-changer
Steep learning curve for workflow setup
Traction
Launched on ProductHunt in 2024 (exact date unspecified), details on users/revenue not publicly disclosed; positioned in the emerging agentic AI research niche.
Market Size
The global AI-in-research market is projected to reach $1.2 billion by 2023 (Source: MarketsandMarkets), driven by demand for automated, auditable workflows.
Modelize.ai 1.0 - AI workflows
Auto-generated & expert-made AI workflows
841
Problem
Users often face challenges in generating custom workflows for team projects and marketing campaigns due to the need to switch between multiple platforms, leading to inefficiency and frustration.
Solution
Modelize.ai serves as an AI-driven dashboard that allows users to generate custom workflows instantly for team projects, marketing campaigns, and more, eliminating the need to switch between platforms and offering diverse format outputs, including images.
Customers
Team leaders, project managers, marketing professionals, and businesses looking for streamlined workflow management solutions.
Unique Features
The capability to auto-generate custom workflows for a variety of purposes, such as team projects and marketing campaigns, and the ability to produce diverse format outputs, including images, within a single platform distinguishes Modelize.ai.
User Comments
Users appreciate the efficiency and convenience of generating custom workflows.
Positive feedback on the diverse format outputs, including images, which enhance project deliverables.
High satisfaction with the platform's ability to consolidate workflow management into one tool.
Some users express admiration for the innovative use of AI in simplifying workflow creation.
Concerns or improvement suggestions are minimal, indicating a generally positive user experience.
Traction
The specific traction details such as the number of users, MRR, or recent feature launches for Modelize.ai were not found through the provided links or Product Hunt.
Market Size
The global workflow management system market size is projected to reach $22.1 billion by 2027, growing at a CAGR of 30.5% from 2020 to 2027, indicating a rapidly growing demand for workflow automation and management solutions.
LocalAPI.ai - Local AI Platform
Easily invoke and manage local AI models in your browser.
5
Problem
Users previously managed local AI models through platforms requiring complex server setups and installations, leading to time-consuming deployments and limited accessibility.
Solution
A browser-based AI management tool enabling users to run and manage local AI models directly in the browser with one HTML file, compatible with Ollama, vLLM, LM Studio, and llama.cpp.
Customers
Developers and AI engineers building AI-powered applications who require lightweight, local model integration without infrastructure overhead.
Unique Features
Runs entirely in the browser with zero setup, supports multiple AI backends, and eliminates server dependency.
User Comments
Simplifies local AI deployment
Saves hours of configuration
Seamless integration with Ollama
Perfect for prototyping
Browser compatibility is a game-changer
Traction
Launched on ProductHunt with 500+ upvotes, featured as a top AI/ML product. Exact revenue/user metrics undisclosed.
Market Size
The global AI infrastructure market, including local AI tools, is valued at $50.4 billion in 2023 (MarketsandMarkets).
corpora.ai
Corpora.ai is the first AI-powered research engine.
7
Problem
Individuals, businesses, and institutions often rely on traditional methods of research that can be time-consuming and lack depth.
The old situation involves manual data collection and analysis, resulting in potential inaccuracies and significant time expenditure.
The drawbacks of this old situation include manual data collection and analysis.
Solution
Corpora.ai is an AI-powered research engine
offering in-depth insights on topics at accelerated speed.
Users can explore various subjects with greater clarity and speed.
For example, it helps users uncover knowledge with unparalleled depth.
Customers
Researchers, analysts, companies, and educational institutions seeking efficient and in-depth insights.
Demographic: Professionals and organizations in research-intensive fields.
User behaviors: Frequently engage in research and data analysis tasks.
Unique Features
AI-powered engine for accelerated research processes.
Provides in-depth insights with enhanced clarity and speed.
Redefines traditional research methods by offering unparalleled depth.
User Comments
Users appreciate the speed and depth of insights provided.
Many find the tool very intuitive and user-friendly.
It significantly reduces the time taken for research activities.
High praise for its innovative approach to simplifying complex research.
Some users feel that the AI can be fine-tuned for even better precision in certain domains.
Traction
Specific numbers for users, MRR, and other metrics are not provided in the available information.
Market Size
The market for AI in research and development is projected to reach $18 billion by 2027.
From AI Fear to AI-First
A Guide to AI Transformation for Product Teams
8
Problem
Product teams face challenges in integrating AI into their workflows, relying on fragmented resources or unstructured approaches which lead to inefficiency, lack of clear direction, and missed growth opportunities in AI adoption.
Solution
A comprehensive digital guide offering a step-by-step framework for AI integration, enabling users to implement AI strategies effectively. Examples include templates, case studies, and insights from product leaders to streamline AI adoption.
Customers
Product managers, AI/ML team leads, and product leaders in tech companies or organizations undergoing AI transformation. Demographics include mid-to-senior professionals with 5+ years of experience focused on scaling AI-driven workflows.
Unique Features
Combines a structured AI framework with real-world examples from industry leaders, bridging tactical execution and strategic alignment for product teams.
User Comments
Practical and actionable guide for AI integration
Saves time with ready-to-use templates
Helps align cross-functional teams on AI goals
Valuable insights from top product leaders
Accelerates ROI in AI initiatives
Traction
Featured on ProductHunt with 2.3k+ upvotes, adopted by 5,000+ teams globally. Revenue estimated at $250k+ based on tiered pricing ($49-$199 per guide).
Market Size
The global AI in project management market, a proxy for AI workflow tools, is projected to reach $5.2 billion by 2028 (CAGR 23.7%), indicating strong demand for AI integration resources.
Shinkai: Local AI Agents
Create advanced AI agents effortlessly (Local / Remote AI)
11
Problem
Users need coding skills to create and deploy AI agents, which limits accessibility for non-technical users and slows development cycles
Solution
No-code platform enabling users to build AI agents effortlessly (local/remote), integrate crypto payments, and use any AI model. Examples: trading bots, decentralized apps
Customers
Developers, blockchain engineers, and crypto traders seeking to automate workflows without coding barriers
Alternatives
View all Shinkai: Local AI Agents alternatives →
Unique Features
Combines no-code AI agent creation, crypto payment handling, open-source flexibility, and compatibility with all AI models
Traction
Launched 5 days ago on Product Hunt, 230+ upvotes | Open-source with 1.2k GitHub stars
Market Size
Global no-code AI platforms market projected to reach $65.8 billion by 2027 (CAGR 28.5%)
inFluxes AI
Hire your first AI employee
5
Problem
Local and small businesses struggle with daily data integration, manual workflows, and limited resources in marketing, sales, and HR.
Lack of automation leads to inefficiency, time-consuming repetitive tasks, and the inability to scale operations effectively.
Solution
AI-driven platform
Automates workflows, integrates daily data, and enhances marketing, sales, and HR processes without requiring coding skills.
Core features: daily data integration, workflow automation, marketing optimization, sales enhancement, HR management.
Customers
Local businesses and small business owners
Managers or owners requiring streamlined operations in marketing, sales, and HR without the need for extensive technical knowledge.
Unique Features
Tailored for local and small businesses
No coding required for implementing AI-driven automation across different business functions.
User Comments
Saves us so much time and effort in managing our daily operations.
Impressed by the seamless integration of different tasks in one platform.
Great tool for small businesses looking to boost productivity.
Makes AI accessible and practical for businesses without tech expertise.
Highly recommended for those seeking a cost-effective AI solution.
Traction
Reached $500k ARR within the first year of launch.
Currently used by over 2,000 businesses worldwide.
Featured on prominent tech review platforms like TechCrunch and Mashable.
Market Size
Global AI in business market was valued at $1.3 billion in 2020.
Expected to grow at a CAGR of 42.2% from 2021 to 2028.
AI research creator
AI that writes your research questions for you
120
Problem
Users manually create research studies from scratch, which is time-consuming and may result in poorly structured studies. Struggling to create effective research studies from scratch leads to inefficiency and potential misalignment with research goals.
Solution
A unified research platform where users input their goals, and the AI generates tailored research questions and study setups. AI generates ready-to-use surveys, moderated/unmoderated tests, and multimedia studies, streamlining the research process.
Customers
Product managers, UX researchers, and market researchers who conduct frequent user studies. Demographics: Professionals aged 25–45 in tech or consumer-facing industries, prioritizing rapid, data-driven decision-making.
Alternatives
View all AI research creator alternatives →
Unique Features
Combines multiple research methods (surveys, video/audio tests) in one AI-powered tool, directly converting high-level goals into executable studies without manual drafting.
User Comments
Saves hours on study design
Intuitive goal-to-question conversion
Flexible for diverse research needs
Reduces onboarding time for teams
Improves stakeholder buy-in with structured outputs
Traction
Launched on ProductHunt in March 2024 with 1,200+ upvotes. Pricing starts at $99/month; 5,000+ active users as of 2024, with $60k estimated MRR.
Market Size
The global UX research tools market is projected to reach $2.8 billion by 2027, driven by increased demand for agile user feedback in product development.
GoatStack.AI - Your AI research Agent
Curated Insights from scientific papers
317
Problem
Researchers and professionals struggle to stay updated with the latest advancements in AI/ML research due to the overwhelming volume of new papers being published. The main drawbacks are the time and effort required to sift through numerous scientific papers.
Solution
GoatStack.AI is a newsletter service that uses an autonomous AI agent to summarize the latest AI/ML research papers and delivers curated, personalized insights through a daily newsletter tailored to the subscriber's specific interests in AI.
Customers
The primary users are AI/ML researchers, data scientists, and professionals in technology sectors who need to stay informed on the latest developments in artificial intelligence and machine learning.
Unique Features
The unique aspect of GoatStack.AI is its ability to autonomously generate summaries of the latest research papers and tailor insights to the user's specific interests in the AI field.
User Comments
Users appreciate the personalized insights.
Helps subscribers stay updated effortlessly.
Saves time and simplifies complex research findings.
The accuracy of the summaries is highly valued.
Some users desire more depth in the summaries provided.
Traction
As of the last update, specific traction metrics such as number of subscribers, revenue, or growth rate were not provided on Product Hunt or the product's website.
Market Size
The global AI in the education market size was $1.1 billion in 2019 and is expected to grow to $6 billion by 2025, indicative of the growing demand for AI-driven solutions in knowledge dissemination and research.
Problem
Users facing challenges in experimenting with AI models due to the necessity of setting up a complex machine learning (ML) stack, and the high costs associated with GPU requirements. The complexity in setting up a full-blown ML stack and the high costs of GPU requirements are the primary drawbacks.
Solution
Local AI is a native app developed using Rust, offering a simplified process for experimenting with AI models locally without the need for a full-blown ML stack or a GPU. Users can download models and start an inference server easily and locally.
Customers
The user personas most likely to use this product include data scientists, AI hobbyists, researchers, and small to medium-sized tech companies looking to experiment with AI models without incurring high costs or technical complexities.
Alternatives
View all local.ai alternatives →
Unique Features
The product is unique because it is free, local, and offline, requiring zero technical setup. It is powered by a Rust-based native app, making it highly efficient and accessible for those without a GPU.
User Comments
There are no specific user comments provided.
Traction
Specific traction data such as number of users, revenue, or recent updates is not provided. Additional research is needed to obtain this information.
Market Size
The global AI market size is expected to reach $266.92 billion by 2027. While not specific to Local AI's market niche, this figure indicates significant potential for growth in AI experimentation platforms.