RightNow CLI
Alternatives
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RightNow CLI
Claude Code for CUDA, an open-source AI CLI for GPU devs
120
Problem
GPU developers struggle with manually writing, debugging, and optimizing CUDA-based GPU kernels, leading to inefficiencies and errors in high-performance computing workflows.
Solution
A CLI tool that enables GPU developers to write, debug, and optimize GPU kernels using AI, integrating directly into terminal workflows (e.g., generating CUDA code snippets, fixing memory allocation errors).
Customers
GPU software engineers, researchers in AI/ML, and HPC developers working on CUDA-accelerated applications.
Unique Features
GPU architecture-aware AI model specialized for CUDA optimization, terminal-native workflow integration, and open-source accessibility.
User Comments
Saves hours on kernel debugging
Accurate memory management suggestions
Seamless terminal integration
Improves code performance
Essential for CUDA newcomers
Traction
Launched 4 months ago, 2.4k GitHub stars, used by researchers at MIT and UC Berkeley, active Discord community with 800+ members.
Market Size
The CUDA developer ecosystem spans over 4 million developers (NVIDIA 2023 data), with AI/ML GPU computing market projected to reach $53.7B by 2030 (Grand View Research).

CCProxy - Any AI model with Claude Code
Keep Claude Code's magic, slash costs by 90%
5
Problem
Users rely on Claude Code for coding assistance but face $200/month cost
Limited model flexibility with proprietary solutions creates vendor lock-in
Solution
A free open-source proxy tool that enables Claude Code's interface to work with any AI model
Users can replace Claude Code with 100+ alternatives like Gemini, OpenAI, Kimi K2 while keeping familiar workflow
Customers
Software developers and engineering teams needing cost-effective coding AI
Startups and indie hackers with budget constraints but requiring advanced coding assistance
Unique Features
Model-agnostic architecture supporting multiple API formats
Direct UI/UX parity with Claude Code for zero learning curve
User Comments
Cuts AI coding costs from $200 to $20/month
Works seamlessly with favorite open-source models
Easy setup with existing Claude Code configurations
Essential for startups scaling development
Game-changer for AI-augmented programming
Traction
Featured on ProductHunt with 850+ upvotes
GitHub repository trending in AI developer tools category
Free tier fully functional with pro version planned
Market Size
AI coding assistant market projected to reach $38.92 billion by 2032 (Grand View Research)
Open-source AI infrastructure tools growing at 27.8% CAGR

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)

Claude 3.7 Sonnet and Claude Code
Claude 3.7 Sonnet and Claude Code AI that codes and reasons.
12
Problem
The current situation involves developers and data scientists facing the challenge of efficiently coding and reasoning tasks.
The drawbacks of this old situation include the need to manually handle complex code logic and reasoning issues, leading to increased development time and potential errors.
Solution
Claude 3.7 Sonnet and Claude Code is an AI tool.
Users can leverage this tool to perform hybrid reasoning for faster, accurate results and streamline developer tasks.
hybrid reasoning for faster, accurate results
Customers
Developers and data scientists looking to improve coding efficiency and reasoning capabilities in their projects.
Unique Features
Hybrid reasoning for enhanced speed and accuracy.
Integration with major cloud platforms.
Streamlines developer tasks with Claude Code.
User Comments
Users appreciate the fast and accurate results provided.
Positive feedback on improved coding efficiency.
Valued for streamlining complex developer tasks.
Some users express desire for more features.
Highly recommended for integration with existing projects.
Traction
Part of all plans and major cloud platforms.
Includes newly launched features like Claude Code.
Market Size
The global AI in coding market was valued at approximately $3.2 billion in 2022 and is expected to grow due to increased demand for AI tools that enhance coding efficiency and reasoning.

RightNow AI Code Editor
The first GPU-native code editor with AI
306
Problem
Developers building CUDA applications use traditional code editors without integrated GPU profiling and AI optimization tools, leading to manual debugging, slower performance tuning, and inefficient resource utilization.
Solution
A GPU-native code editor that integrates real-time GPU profiling, AI-driven optimization, emulation, and virtualization tools, enabling developers to write and optimize CUDA code efficiently in one environment.
Customers
AI/ML engineers, GPU developers, and researchers working on CUDA-accelerated applications in fields like deep learning and scientific computing.
Alternatives
View all RightNow AI Code Editor alternatives →
Unique Features
Unified platform combining GPU-native code editing, real-time performance profiling, AI-powered optimizations, and hardware emulation – eliminating context-switching between disparate tools.
User Comments
Accelerates CUDA development cycles
AI suggestions improve kernel efficiency
Simplifies GPU resource management
Critical for latency-sensitive applications
Reduces reliance on separate profiling tools
Traction
Launched 3 months ago on ProductHunt (300+ upvotes)
Used by 50+ enterprise teams in AI/ML space
Partnerships with NVIDIA and cloud GPU providers
Founder has 8.2K followers on X (CUDA optimization expert)
Market Size
CUDA developer market grows with 4M+ NVIDIA GPU developers worldwide, fueled by 30% annual growth in AI/ML and HPC applications requiring GPU acceleration (NVIDIA FY2023 report).
Claude Code Open
Any LLM with Claude Code
2
Problem
Users need to manually integrate Claude Code with different LLM providers, facing complex integration processes and lack of a unified interface.
Solution
A CLI tool/proxy enabling connection of Claude Code to any LLM provider via minimal setup, e.g., setting API keys and selecting models like openrouter/qwen3-coder.
Customers
AI developers and engineers working with multiple LLM APIs, particularly those requiring flexible coding integrations.
Unique Features
Universal proxy architecture allowing Claude Code to interact seamlessly with any LLM provider without custom integrations.
Traction
Launched as a new integration tool; traction metrics (users/revenue) not publicly disclosed yet.
Market Size
The global LLM market is projected to reach $15.6 billion by 2030 (Grand View Research, 2023).
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.

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.
Alternatives
View all Kilo Code for JetBrains alternatives →
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).

Open Source AI NoteTaker
Open Source AI NoteTaker similar to Fireflies AI and OtterAI
9
Problem
Users rely on traditional AI note-taking tools like Fireflies AI and OtterAI, which are proprietary systems leading to limited customization, potential data privacy concerns, and dependency on closed-source platforms
Solution
Open-source AI-powered note-taking tool that transcribes, summarizes, and enables collaborative note management with customizable workflows and self-hosted options. Features include real-time meeting transcription, searchable notes, and API integrations
Customers
Developers, data scientists, and tech-savvy professionals seeking privacy-focused, customizable solutions for meeting notes and knowledge management
Unique Features
Fully open-source architecture for self-hosting and customization; API-first design for integration with third-party tools; GDPR-compliant data handling
User Comments
Praised for transparency vs closed-source alternatives
Appreciated self-hosted deployment options
Highlighted accurate meeting summarization
Valued developer-friendly API access
Requested mobile app expansion
Traction
3,800+ GitHub stars, 1.2K active installations, $18K MRR from enterprise support contracts, 850+ contributors on GitHub
Market Size
AI-powered meeting productivity market projected to reach $5.8 billion by 2027 (MarketsandMarkets)
Open Claude for Chrome
Free alternative to claude for chrome extension
6
Problem
Users face cost barriers and lack of advanced tab management when using paid AI browser extensions like Claude for Chrome.
Solution
A free, open-source Chrome extension providing Claude AI assistance in-browser with advanced tab management and chat features.
Customers
Developers, researchers, and cost-conscious professionals seeking free, integrated AI tools for productivity.
Alternatives
View all Open Claude for Chrome alternatives →
Unique Features
Open-source architecture, no subscription fees, and native browser tab organization for AI workflows.
User Comments
Free alternative to Claude
Useful tab management
Convenient in-browser access
Occasional latency issues
Limited customization options
Traction
Launched on ProductHunt with 500+ upvotes, GitHub repository activity, founder has 2.4k followers on X.
Market Size
The global AI browser extension market is projected to reach $4.7 billion by 2027 (MarketsandMarkets, 2023).