Kilo Code for JetBrains
Alternatives
0 PH launches analyzed!
Kilo Code for JetBrains
Fast, open-source AI coding agent for JetBrains IDEs
597
Problem
Developers rely on traditional AI code assistants with subscription-based pricing, limited IDE support, and lack of customization, leading to higher costs and inflexibility in tool integration.
Solution
An open-source, model-agnostic AI code assistant for JetBrains IDEs (IntelliJ, PyCharm, etc.) enabling pay-per-use AI code generation, debugging, and deployment while integrating seamlessly into existing workflows.
Customers
Software developers, engineers, and teams using JetBrains IDEs who prioritize cost-efficiency, customization, and open-source tools for coding tasks.
Unique Features
Open-source, model-agnostic architecture; pay-per-use pricing; JetBrains IDE integration; lightweight local operation (no data sent to servers).
User Comments
Simplifies debugging workflows
Affordable alternative to subscription models
Seamless integration with JetBrains tools
Appreciate open-source transparency
Fast code iteration with minimal latency
Traction
420,000+ downloads on VS Code/Cursor; expanding to JetBrains ecosystem; founder has 1.2K+ GitHub contributions; open-source repository with 850+ stars.
Market Size
The global AI developer tools market is projected to reach $100 billion by 2030 (Grand View Research), driven by demand for coding automation across 28.7M+ developers worldwide (SlashData).
GLM-4.5 Open-Source Agentic AI Model
GLM-4.5 Open-Source Agentic AI Model
6
Problem
Users require advanced large language models (LLMs) for commercial applications but face limitations with proprietary models such as high costs, restrictive licenses, and limited customization.
Solution
An open-source AI model (GLM-4.5) with 355B parameters, MoE architecture, and agentic capabilities. Users can download and deploy it commercially under the MIT license for tasks like automation, content generation, and analytics.
Customers
AI developers, enterprises, and researchers seeking customizable, scalable, and cost-efficient LLMs for commercial use cases.
Unique Features
MIT-licensed open-source framework, agentic autonomy (self-directed task execution), and hybrid MoE architecture for improved performance and efficiency.
User Comments
Highly customizable for enterprise needs
Commercial MIT license is a game-changer
Agentic capabilities reduce manual oversight
Resource-intensive but cost-effective long-term
Superior performance in complex workflows
Traction
Part of Zhipu AI's ecosystem (valued at $2.5B in 2023). MIT license adoption by 1,500+ commercial projects as per community reports.
Market Size
The global generative AI market is projected to reach $1.3 trillion by 2032 (Custom Market Insights, 2023), driven by demand for open-source commercial solutions.
Magicnode (Open Source)
Open-source, no-code AI app builder
36
Problem
Users need coding skills or developers to build AI applications, leading to high costs, slow development, and dependency on technical expertise
Solution
A no-code AI app builder allowing users to create interactive AI apps via drag-and-drop blocks (e.g., chatbots, automation tools)
Customers
Non-technical founders, product managers, and entrepreneurs seeking to prototype or deploy AI apps without coding
Unique Features
Combines open-source flexibility with no-code simplicity, supports custom integrations, and offers pre-built AI blocks
User Comments
Simplifies AI app development
Saves time and resources
Open-source nature encourages customization
Ideal for rapid prototyping
Community support is helpful
Traction
Open-source repo with 1k+ GitHub stars
5k+ active users
$20k+ MRR
Launched v1.5 with enhanced templates in Q3 2023
Market Size
The global low-code development platform market was valued at $15 billion in 2022 (Gartner)
Vomyra AI – Voice AI Agent
A low-code , No-Code Voice AI agents for everyone
169
Problem
Users are currently facing challenges in building efficient voice AI agents due to the need for complex coding skills. This limits the ability to automate calls, capture leads, and enhance customer support effectively.
need for complex coding skills
Solution
A low-code, no-code platform that allows users to build smart voice AI agents. Users can automate calls, capture leads, and enhance customer support without any coding skills, through a click and deploy AI-powered assistant.
build smart voice AI agents
Customers
Business owners, call center managers, and customer service teams looking to automate customer support and streamline communication processes.
Business owners, call center managers, and customer service teams
Unique Features
The platform offers low-code and no-code capabilities, enabling rapid deployment and integration of AI voice agents without technical expertise, seamlessly integrating with existing systems and scaling effortlessly.
User Comments
Easy to use and deploy without coding
Great tool for scaling customer support
Effective in automating communication processes
Seamless integration with existing systems
Helps capture leads efficiently
Traction
Newly launched on ProductHunt
Focused on enhancing customer interaction 24/7
Market Size
The global conversational AI market is expected to reach $13.9 billion by 2025, growing at a CAGR of 21.2% from 2020 to 2025.
Open Agent Kit - Build Agents in Minutes
Build, Customize, Deploy – AI Agents Your Way with OAK!
186
Problem
Users face time-consuming and inflexible development processes when creating AI agents, struggling with challenges in integrating various LLMs and workflows using traditional coding methods.
Solution
Open-source platform enabling developers to build, customize, and deploy AI agents quickly by allowing them to connect to any LLM, extend functionality with plugins, and embed AI into workflows (e.g., automating customer support or data analysis tasks).
Customers
Developers and AI engineers seeking scalable, customizable AI solutions for enterprise or startup environments.
Unique Features
Open-source architecture, modular plugin system, multi-LLM compatibility, and workflow embedding capabilities.
User Comments
Simplifies agent deployment for non-experts
Plugins accelerate feature development
Seamless integration with existing tools
Highly customizable for niche use cases
Reduces AI prototyping time by 70%
Traction
Launched on ProductHunt with 480+ upvotes, GitHub repository trending with 1.2k+ stars, active community of 3k+ developers on Discord
Market Size
The global AI developer tools market is projected to reach $136 billion by 2025 (Grand View Research 2023), driven by demand for customizable AI solutions.
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%)
AI Agentic Auto-Generated Code Analysis
Fast AI Agentic Auto-Generated Code Analysis Report for ABAP
7
Problem
Users face challenges in processing ABAP-related code analysis tasks manually, leading to slower processing speed and potential inefficiencies.
Solution
A web-based tool that utilizes artificial intelligence to read ABAP code and generate specification documents automatically. Users can save time and improve efficiency in processing code analysis tasks.
Utilizes AI to read ABAP code and generate specification documents automatically.
Customers
Developers, IT professionals, and employees handling ABAP-related projects seeking to streamline code analysis processes.
Unique Features
Automated ABAP code analysis and documentation generation through AI technology, enhancing speed and efficiency.
Focus on ABAP language specifically, catering to a niche market segment.
User Comments
Efficient tool for ABAP developers and analysts.
Saves time and improves the quality of code analysis reports.
Great for automating tedious documentation tasks.
Intuitive interface and easy to use.
Highly recommended for ABAP projects.
Traction
Gained 500 active users within the first month of launch.
Received positive feedback and reviews from early adopters.
Market Size
Global market for AI-powered code analysis tools was valued at approximately $2.3 billion in 2021.
Find AI Hub - AI Agents Directory
AI Agents Directory for Finding Authentic AI Agents & Guides
7
Problem
Users struggle to find suitable and authentic AI agents for their specific needs, leading to inefficiencies in operations, task automation, and delivery of complex solutions.
find suitable and authentic AI agents
Solution
A directory platform that allows users to explore and find authentic AI agents. Users can streamline operations, automate tasks, and deliver complex solutions by simply exploring the directory.
explore and find authentic AI agents
Customers
Technology companies, startups, and organizations seeking to integrate AI solutions into their operations, automate workflows, and enhance efficiency.
Technology companies, startups, and organizations
Unique Features
The product offers a comprehensive directory of AI agents that can be searched and browsed according to specific needs. It provides blogs and guides to keep users informed about the latest trends in agentic AI.
User Comments
Users find the platform comprehensive and easy to navigate.
The directory helps in discovering AI agents that would otherwise be difficult to find.
The inclusion of guides and blogs is seen as very helpful.
The platform is appreciated for helping streamline and automate tasks.
Some users feel that the directory could include more agents over time.
Traction
The product is new to ProductHunt with no specific data on users or revenue mentioned. It is positioned as a resourceful hub for AI agents.
Market Size
The global AI market size was valued at $204.4 billion in 2022 and is projected to reach $1,847.51 billion by 2030, growing at a CAGR of 33.2%.
Superexpert.AI
Open-source platform for enterprise AI agents, web-first.
142
Problem
Enterprises currently rely on custom-coded AI solutions requiring significant development resources. Drawbacks include requiring significant development resources, time-consuming deployment, and limited extensibility.
Solution
An open-source platform enabling enterprises to spin up multi-task agents & RAG search in minutes—no code, with extensibility via NextJS + TypeScript + Postgres. Examples: deploy AI agents for customer support or internal data retrieval.
Customers
CTOs, AI engineers, and product managers in mid-to-large enterprises seeking scalable, no-code AI agent deployment.
Alternatives
View all Superexpert.AI alternatives →
Unique Features
Fully open-source, web-first architecture, pre-built RAG integration, no-code agent creation, and modular extensibility via modern tech stack.
User Comments
Reduces AI deployment time from weeks to hours
Open-source flexibility fosters customization
No-code interface empowers non-technical teams
RAG integration simplifies enterprise data workflows
Postgres compatibility eases scaling.
Traction
Newly launched on ProductHunt; GitHub repository available for community contribution (specific stars/revenue undisclosed).
Market Size
The global enterprise AI market is projected to reach $51.8 billion by 2028 (Grand View Research).
AI Podcast Transcriber (Open Source)
Fast, accurate podcast transcription with AI summaries
6
Problem
Users currently manually transcribe podcasts or use tools requiring sign-ups, leading to time-consuming processes, inaccuracies, lack of summaries, privacy concerns, and formatting issues.
Solution
Open-source web tool that converts any podcast link into transcripts and summaries using AI, enabling users to paste a link, generate results instantly, and export in Markdown. Example: Privacy-friendly, no sign-up required.
Customers
Researchers, students, content creators, journalists, and professionals needing efficient podcast note-taking.
Unique Features
Open-source, privacy-focused, zero sign-up, Markdown export, and simple paste-and-go workflow.
User Comments
Praises fast transcription speed
Appreciates accurate AI summaries
Likes no sign-up requirement
Values Markdown export functionality
Highlights privacy-friendly design
Traction
Newly launched on Product Hunt with initial traction; specific metrics (e.g., revenue, users) not publicly disclosed.
Market Size
The global podcasting market was valued at $14.8 billion in 2023, with transcription services growing alongside content demand.