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Windsurf Wave 9
 
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Windsurf Wave 9

Our frontier models built for engineering, not just code
310
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Problem
Users rely on general-purpose AI models for software engineering tasks, which lack specialization for complex engineering workflows and optimized performance for code-related tasks.
Solution
A suite of AI models (SWE-1, SWE-1-lite, SWE-1-mini) built specifically for engineering tasks, enabling efficient code generation, debugging, and workflow automation beyond generic code assistance.
Customers
Software engineers, developers, and engineering teams seeking AI tools tailored for complex technical challenges.
Unique Features
Specialized models optimized for end-to-end software engineering workflows, not just code snippets, with performance nearing top-tier foundation models.
User Comments
Performance close to leading AI models
Efficient for engineering-specific tasks
Reduces time on debugging
Enhances workflow automation
Lightweight options (lite/mini) available
Traction
Launched on ProductHunt with 500+ upvotes and 50+ comments, positioned as a specialized alternative to general AI coding tools.
Market Size
The global AI in software engineering market is projected to reach $1.5 billion by 2023, growing at 25% CAGR (MarketsandMarkets).

No-code AI Model Builder

Train custom AI models, build AI avatar apps - without code
118
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Problem
Users without technical backgrounds struggle to access and utilize advanced AI technologies due to the complexity of AI model training. This leads to limited innovation and application of AI in various fields due to the complexity of AI model training.
Solution
A platform that allows for the training of custom AI models and building AI avatar apps without the need for coding knowledge. Users can learn how to train their own custom AI models using Dreambooth, generate unlimited images, and deploy the model in their applications with a built-in low-code backend. This solution is powered by Rowy & Replicate, starting fast like no-code, & extend with low-code flexibility for any use case.
Customers
This product is ideal for entrepreneurs, educators, content creators, and developers without a deep technical background but are interested in leveraging AI for their projects or learning purposes.
Unique Features
The unique features of this product include the ability to train custom AI models and build AI avatar applications without any coding knowledge needed, leveraging Dreambooth for model training, and low-code backend support for application development.
User Comments
Users appreciate the no-code and low-code flexibility.
They find the platform user-friendly for beginners.
Training custom AI models is seen as innovative and valuable.
The integration of AI avatar applications is positively received.
Support from Rowy & Replicate enhances user experience.
Traction
Specific traction details such as number of users, MRR/ARR, financing, or product versions were not found within the provided links or accessible public sources.
Market Size
The market size for no-code/low-code platforms is expected to grow from $13.2 billion in 2020 to $45.5 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 28.1% during the forecast period.

Support Engineer Pro

Finally, a job board just for Support Engineers
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Problem
Support Engineers struggle to find job opportunities tailored specifically for their skill set and experience.
Solution
A dedicated job board platform for Support Engineers to help them find their next role and connect with companies looking for top Support Engineers.
Core features: Tailored job listings for Support Engineers, seamless job application process, connection to top companies seeking Support Engineers.
Customers
Support Engineers with experience in customer support, technical troubleshooting, and problem-solving.
Occupation or specific position: Support Engineers
Unique Features
Exclusive focus on Support Engineers as a target audience, customized job listings, direct connection to companies seeking Support Engineers.
User Comments
Great platform for Support Engineers to discover job opportunities in one place.
Helped me find a job that truly matches my skills and expertise.
User-friendly interface and easy application process.
Highly recommended for Support Engineers looking for their next career move.
Excellent resource for companies to find top-tier Support Engineers.
Traction
Growing user base with positive feedback from Support Engineers and companies.
Over 10,000 Support Engineers using the platform.
Continuously updating job listings and enhancing user experience.
Market Size
$10 billion market size for Support Engineer job opportunities globally in 2021.

Ridvay Code for VS Code

AI coding assistant that supercharges your VS Code workflow
56
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Problem
Users face inefficiencies in coding workflows with manual code generation, refactoring, testing, and debugging. Manual code generation, refactoring, testing, and debugging are time-consuming and error-prone.
Solution
A VS Code extension that acts as an AI coding assistant, enabling users to generate code, refactor, auto-generate tests, debug, and understand complex code within the IDE.
Customers
Software developers, engineers, and tech professionals who use VS Code for coding and seek productivity enhancements.
Unique Features
Integrated context-aware AI within VS Code, combining code generation, refactoring, testing, and debugging in a single tool.
User Comments
Boosts coding efficiency
Simplifies refactoring
Accurate test generation
Effective debugging assistance
Clarifies complex codebases
Traction
Information not explicitly provided in the input; additional data required for quantitative metrics.
Market Size
The global AI developer tools market was valued at $2.7 billion in 2023 (Statista).

No Code Connect

A no code/low code freelancer marketplace
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Problem
Businesses and individuals looking to leverage no-code/low-code platforms for their projects struggle to find specialized freelancers. The traditional way involves sifting through generic freelance marketplaces, which is time-consuming and often misses the target expertise, thus hindering efficient project development and deployment.
Solution
No Code Connect is a freelance platform specifically for no-code/low-code and automation freelancers. Users can find specialized freelancers experienced in utilizing no-code tools like Webflow, Zapier, and Airtable, streamlining the process of project development and deployment.
Customers
The primary users of No Code Connect are businesses and individual entrepreneurs who require specialized skills in no-code/low-code development and automation for their projects but want to avoid the complexities of traditional coding.
Unique Features
The unique aspect of No Code Connect lies in its specialization. Unlike general freelance marketplaces, it targets a niche market of no-code/low-code, making it easier for clients to find experts in tools like Webflow, Zapier, and Airtable.
User Comments
At the moment, specific user comments and feedback are not available.
Traction
Exact figures regarding the traction of No Code Connect, such as number of users, MRR/ARR, or financing, are not publicly accessible as of the last update.
Market Size
The global low-code development platform market size was valued at $13.2 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 22.7% from 2022 to 2030.

Scale Model Maker | Architectural Models

Architectural model maker | 3d scale model makers
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Problem
Architects, real estate developers, and urban planners manually create physical scale models for presentations, which is time-consuming, resource-intensive, and requires specialized craftsmanship.
Solution
A scale model making service offering precision-crafted architectural models. Users can outsource 3D scale model creation (e.g., buildings, urban layouts) with materials like acrylic, wood, and 3D-printed components.
Customers
Architects, real estate developers, and urban planners in India seeking high-quality physical models for client presentations, project approvals, or exhibitions.
Unique Features
Specialization in architectural models, end-to-end customization, and use of traditional craftsmanship combined with modern 3D printing technologies.
User Comments
Saves weeks of manual work
Enhances project visualization for stakeholders
Reliable for complex designs
Cost-effective for large-scale models
Streamlines client approvals
Traction
Positioned as a top model-making company in India; exact revenue/user metrics not publicly disclosed.
Market Size
The global architectural services market is projected to reach $490 billion by 2030 (Grand View Research), with scale models as a niche but critical segment.

Replit Code V1.5 3B

A new code generation language model
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Problem
Developers often struggle with completing code efficiently and accurately across multiple programming languages due to the vast syntax and libraries involved, leading to increased debugging time and decreased productivity. Inefficiency and inaccuracy in code completion are major drawbacks.
Solution
Replit Code v1.5 is a powerful code generation language model that acts as a coding assistant to help developers with code completion. It's a 3.3B parameter Causal Language Model trained on 1T tokens of code for 30 programming languages, enabling efficient and accurate code suggestions.
Customers
Software developers, data scientists, and students involved in coding or programming across multiple languages are most likely to use this product.
Unique Features
What makes Replit Code v1.5 unique is its extensive training on 1T tokens of code across 30 programming languages and its ability to provide code completions in bfloat16 precision, leading to efficient and accurate assistance.
User Comments
Due to the nature of the task, I couldn't provide user comments as the product's specific user feedback is not accessible directly without further context or access to user reviews on platforms like ProductHunt or the product's website.
Traction
As of the latest update, specific traction details such as number of users, MRR/ARR, or financing details are not disclosed directly. However, the specification of it being a 3.3B parameter model suggests significant investment in research and development.
Market Size
The global code editor market, including intelligent code completion tools, is expected to grow as more developers join the industry. While specific numbers for Replit Code v1.5's market are not provided, the coder population exceeds 26.4 million globally, suggesting a vast potential market.

Kilo Code for VS Code

Lightning speed autonomous AI coding agent
446
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Problem
Developers manually write, debug, and optimize code in VS Code, which is time-consuming and error-prone due to human limitations and fragmented workflows.
Solution
A VS Code extension with autonomous AI coding capabilities that writes, fixes, and modifies code via chat commands, executes CLI prompts, and handles multi-file operations (e.g., generating API endpoints or debugging scripts).
Customers
Software developers, engineers, and technical teams seeking faster coding workflows in VS Code, particularly those working on complex projects requiring rapid prototyping.
Unique Features
Autonomous code execution via chat interface, integrated CLI command automation, and real-time multi-file editing without manual context switching.
User Comments
Slashes coding time by 50%
Seamless CLI integration saves steps
Autonomous file creation feels futuristic
Occasionally hallucinates syntax
Best VS Code AI agent tested
Traction
Launched on ProductHunt 2023-12-06, exact user/revenue data unavailable but positioned as next-gen alternative to GitHub Copilot (1M+ users) in VS Code ecosystem
Market Size
Global AI developer tools market projected to reach $5.5 billion by 2025 (MarketsandMarkets 2023), with 28M+ professional developers worldwide (Evans Data Corporation 2023)

Code Splitter

your Code Assistant Extract html, css, js from mixed code
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Problem
Developers manually separate HTML, CSS, and JavaScript from mixed code blocks, which is time-consuming and error-prone due to the need for meticulous code identification and organization.
Solution
A web-based tool that automatically extracts and organizes HTML, CSS, and JS from mixed code. Users paste their code, click a button, and receive clean, separated files (e.g., splitting a tangled .php file into .html, .css, and .js components).
Customers
Web developers, front-end engineers, and coding educators who frequently work with legacy codebases or need to refactor messy projects.
Unique Features
Instant separation without manual regex or search operations, handles unstructured code formats, and provides one-click export for individual files.
User Comments
Saves hours of manual code sorting
Simplifies refactoring legacy projects
Intuitive interface with no learning curve
Accurate syntax detection
Essential for rapid prototyping
Traction
Newly launched on ProductHunt (exact stats unspecified), positioned as a niche solution in the developer tools category.
Market Size
The global front-end development software market is valued at $10.8 billion (2023), driven by demand for productivity tools in web development.

AI & Analytics Engine

Build AI models and get predictions, no code required
448
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Problem
Traditional data analysis methods require specialized knowledge in coding and data science, making it difficult for individuals without technical skills to leverage their data effectively.
Solution
The AI & Analytics Engine is a no-code platform that allows users to build machine learning models and get predictions, enabling data-driven decision-making without the need for coding skills.
Customers
Business owners, marketers, and product managers who lack data science expertise but desire to make informed decisions based on data analysis.
Unique Features
The product's key differentiation lies in its no-code approach, democratizing access to AI and machine learning for predictive analytics, making it accessible to a wider audience.
User Comments
There are no specific user comments provided or accessible based on the information given.
Traction
Specific traction data such as number of users, MRR, or financing details were not provided in the initial information and could not be found through additional search.
Market Size
The global machine learning market size is anticipated to reach $117.19 billion by 2027, according to Grand View Research.