Leading Studio1hq.com | Currently Working on Formaly.io

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Arindam Majumder  • Peerlist

Building @Studio1HQ, Developer Advocate, Technical Writer

<a target="_blank" rel="noopener noreferrer nofollow ugc" class="break-all link-break text-gray-500 hover:underline" href="https://raah.dev">Raah</a> combines web analytics and real-user network observability into a single lightweight platform. Track how users interact with your product, measure Core Web Vitals, diagnose slow APIs, identify browser errors, and understand network performance - all from one intuitive dashboard powered by real user sessions. <ul><li>Installation takes less than a minute with a single script tag.</li></ul><h3>User Analytics</h3>Understand how people use your product with session analytics, user journeys, funnels, referrers, geography, devices, and engagement insights.<h3>Real User Network Observability</h3>See how your application performs across different regions, ISPs, browsers, and connection types to identify where users experience slowdowns.<h3>API Performance Monitoring</h3>Monitor real-user API latency, p95 response times, error rates, and request timing breakdowns to quickly pinpoint performance bottlenecks.<h3>Core Web Vitals</h3>Track LCP, INP, CLS, FCP, and TTFB directly from real user sessions to measure and improve frontend performance.<h3>Third-Party Performance</h3>Measure the impact of third-party scripts, SDKs, and CDNs on page load times and overall user experience.<h3>Built for Modern SaaS</h3>Purpose-built for SaaS teams that want analytics, observability, and frontend performance monitoring without stitching together multiple tools.Get started in under a minute. Showcase your site's analytics with a public badge!

Raah

Transform your feedback collection with AI-powered conversational forms that feel like natural conversations. This innovative tool allows you to create forms using natural language prompts, enabling you to gather feedback through engaging chat interfaces. With instant AI insights, you can automatically extract themes, sentiment, and key quotes from responses, providing rich qualitative feedback rather than just clicks.<h3>Key Features</h3><ul><li>AI-Powered Creation: Describe what you want to learn, and AI generates a conversational form in seconds.</li><li>Chat-First Experience: Respondents complete forms through natural conversation, not boring static forms.</li><li>Multiple Form Types: Supports feedback forms, quizzes, surveys, and more with flexible question types.</li><li>Instant Insights: AI automatically extracts themes, sentiment, and key quotes from responses.</li><li>High Completion Rates: Achieve 75%+ completion rates compared to the 30% industry average.</li></ul>With a simple, transparent pricing model, you pay only for what you use, with no hidden fees. Whether you're a small team or a large enterprise, this tool scales with your needs, offering custom branding, API access, and priority support for larger teams.

Formaly

A multi-stage AI-powered research workflow agent that automates comprehensive web research, analysis, and report generation using Agno, Scrapegraph, and Nebius AI.Features<ul><li>Multi-Stage Research Workflow: Automated pipeline for searching, analyzing, and reporting</li><li>Web Scraping: Advanced data extraction with Scrapegraph</li><li>AI-Powered Analysis: Uses Nebius AI for intelligent synthesis</li><li>Streamlit Web UI: Modern, interactive interface</li><li>MCP Server: Model Context Protocol server for integration</li><li>Command-Line Support: Run research tasks directly from the terminal </li></ul>How It Works <ol><li>Searcher: Finds and extracts high-quality, up-to-date information from the web using Scrapegraph and Nebius AI.</li><li>Analyst: Synthesizes, interprets, and organizes the research findings, highlighting key insights and trends.</li><li>Writer: Crafts a clear, structured, and actionable report, including references and recommendations.</li></ol>Workflow:<ul><li>Input a research topic or question</li><li>The agent orchestrates web search, analysis, and report writing in sequence</li><li>Results are presented in a user-friendly format (web or CLI)</li></ul>

Deep Researcher Agent

A powerful job search agent that leverages Bright data and Nebius AI Studio to help users find relevant job opportunities Before running this project, make sure you have the following:<ul><li>Python 3.10 or higher</li><li>A <a target="_blank" rel="nofollow" class="break-all link-break text-gray-500 hover:underline" href="https://brightdata.com/">Bright data</a> account and API credentials</li><li><a target="_blank" rel="nofollow" class="break-all link-break text-gray-500 hover:underline" href="https://studio.nebius.com/">Nebius AI Studio</a> Account</li></ul>Features<ul><li>Real-time job search using Bright Data</li><li>AI-powered job matching using Nebius AI Studio</li><li>Interactive web interface</li><li>Asynchronous job processing</li><li>Data validation and error handling</li></ul>

Job Searching Agent

<h3> Reddit MCP Server</h3>This repository contains a Model Context Protocol server implementation for Reddit that allows AI assistants to access and interact with Reddit content through PRAW (Python Reddit API Wrapper).<h3>What is MCP?</h3>The Model Context Protocol (MCP) is a standard for enabling AI assistants to interface with external services, tools, and data sources. This server implements the MCP specification to provide access to Reddit content. <h3>Features</h3>- Get detailed user information with engagement analysis- Fetch and analyze top posts from any subreddit- Get comprehensive subreddit statistics and health metrics- View trending subreddits with growth patterns- Create strategic posts with timing recommendations- Reply to posts and comments with engagement optimization- AI-driven insights and recommendations- Smart response formatting with engagement metrics<h3>Installation</h3>1. Clone this repository```bashgit clone <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://github.com/Arindam200/reddit-mcp.git">https://github.com/Arindam200/reddit-mcp.git</a>cd reddit-mcp```2. Connect to the MCP server Copy the below json with the appropriate {{PATH}} values: ```json { "mcpServers": { "reddit": { "command": "{{PATH_TO_UV}}", // Run `which uv` and place the output here "args": [ "--directory", "{{PATH_TO_SRC}}", // cd into the repo, run `pwd` and enter the output here "run", "<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://server.py">server.py</a>" ], "env": { "REDDIT_CLIENT_ID": "your_client_id", "REDDIT_CLIENT_SECRET": "your_client_secret", "REDDIT_USERNAME": "your_username", // Optional for authenticated operations "REDDIT_PASSWORD": "your_password" // Optional for authenticated operations } } } } ``` You can obtain Reddit API credentials by creating an app at [Reddit's app preferences page](<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://www.reddit.com/prefs/apps">https://www.reddit.com/prefs/apps</a>). For Claude, save this as `claude_desktop_config.json` in your Claude Desktop configuration directory at: ``` ~/Library/Application Support/Claude/claude_desktop_config.json ``` For Cursor, save this as `mcp.json` in your Cursor configuration directory at: ``` ~/.cursor/mcp.json ```3. Restart Claude Desktop / Cursor Open Claude Desktop and you should now see Reddit as an available integration. Or restart Cursor.<h3>Available Tools</h3>The server provides the following tools: Read-only Tools (require only client credentials):- `get_user_info(username)` - Get detailed user analysis with engagement insights- `get_top_posts(subreddit, time_filter, limit)` - Get and analyze top posts- `get_subreddit_stats(subreddit)` - Get comprehensive subreddit analysis- `get_trending_subreddits()` - Get list of trending subreddits Authenticated Tools (require user credentials):- `create_post(subreddit, title, content, flair, is_self)` - Create an optimized post- `reply_to_post(post_id, content, subreddit)` - Add a reply with engagement insights- `reply_to_comment(comment_id, content, subreddit)` - Add a strategic reply<h3>Example Queries</h3>Here are some examples of what you can ask an AI assistant connected to this server:- "Analyze u/spez's Reddit activity"- "Show me the top posts from r/Python this week"- "Get statistics about r/AskReddit"- "What are the trending subreddits right now?"- "Create a post in r/Python about a new project"- "Reply to this post with an insightful comment"- "What's the best time to post in this subreddit?"

Reddit MCP Server

<h3>Dev.to MCP Server</h3>This is a Model Context Protocol server implementation for <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a> that allows AI assistants to access and interact with <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a> content.<h3>Features</h3><ul><li> Fetch latest and trending articles from <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a></li><li> Search for articles by various criteria</li><li> Get detailed information about specific articles</li><li> Get Detailed information about a User.</li><li> Access articles by tag or username</li><li> Create and publish new articles to <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a></li><li> Update existing articles</li><li> Caching mechanism to improve performance and reduce API calls</li></ul><h3>Instalation 1. Clone this repository</h3>```bashgit clone <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://github.com/Arindam200/devto-mcp.git">https://github.com/Arindam200/devto-mcp.git</a>cd devto-mcp```2. Connect to the MCP server Copy the below json with the appropriate {{PATH}} values: ```json { "mcpServers": { "devto": { "command": "{{PATH_TO_UV}}", // Run `which uv` and place the output here "args": [ "--directory", "{{PATH_TO_SRC}}",// cd into the repo, run `pwd` and enter the output here "run", "<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://server.py">server.py</a>" ], "env": { "DEV_TO_API_KEY":"Your <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a> API Key" // Get it from <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://dev.to/settings/extensions">https://dev.to/settings/extensions</a>. } } } } ``` You can obtain a <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a> API key from your [<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a> settings page](<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="https://dev.to/settings/extensions">https://dev.to/settings/extensions</a>). For Claude, save this as `claude_desktop_config.json` in your Claude Desktop configuration directory at: ``` ~/Library/Application Support/Claude/claude_desktop_config.json ``` For Cursor, save this as `mcp.json` in your Cursor configuration directory at: ``` ~/.cursor/mcp.json ```3. Restart Claude Desktop / Cursor Open Claude Desktop and you should now see Devto as an available integration. Or restart Cursor.<h3>Available Tools</h3>The server provides the following tools:<ul><li> `get_latest_articles()` - Get the latest articles from <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a></li><li> `get_top_articles()` - Get the most popular articles from <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a></li><li> `get_articles_by_tag(tag)` - Get articles by tag</li><li> `get_article_by_id(id)` - Get a specific article by ID</li><li> `search_articles(query, page=1)` - Search for articles by keywords in title/description</li><li> `get_article_details(article_id)` - Get full content and metadata for a specific article</li><li> `get_articles_by_username(username)` - Get articles written by a specific author</li><li> `create_article(title, body_markdown, tags, published)` - Create and publish a new article</li><li> `update_article(article_id, title, body_markdown, tags, published)` - Update an existing article</li></ul><h3>Example Queries</h3>Here are some examples of what you can ask an AI assistant connected to this server:<ul><li> "Find articles about Python on <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a>"</li><li> "Show me the latest <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline" href="http://Dev.to">Dev.to</a> articles"</li><li> "Get details for article 1234"</li><li> "What articles has user 'ben' written?"</li><li> "Search for articles about machine learning"</li><li> "Create a new article titled 'Getting Started with Python'"</li><li> "Update my article with ID 5678 to fix a typo in the content"</li></ul>

Dev.to MCP Server

Hey Everyone!👋🏼I’ve created an AI-powered Logo generator, LogoAI. With it, you can create unique, professional logos for your Projects &amp; Brands.🔥 Features:<ul><li>AI-powered logo creation</li><li>Style presets, color &amp; size customization</li><li>User history &amp; public gallery</li></ul>🔗 Relevant Links:✅ <a target="_blank" rel="noopener nofollow" class="text-green-500 rich-link break-all link-break" href="https://logoAi.in">Project Link</a>✅ <a target="_blank" rel="noopener nofollow" class="text-green-500 rich-link break-all link-break" href="https://github.com/Arindam200/logo-ai">GitHub Repo</a>🛠️ Tech Stack: Next.js | TypeScript | Tailwind CSS | Nebius AI | PostgreSQL | VercelI would love your feedback here!

LogoAI

<h2>Studio1Hq: Empowering Developer-Focused Startups with Content and Advocacy</h2>Studio1Hq is a content and developer advocacy agency dedicated to helping SaaS companies, devtools, and AI startups connect with developers and scale their growth.We specialize in crafting: ✅ Technical Content: Tutorials, API documentation, and real-world use cases that educate and inspire developers. ✅ Growth Content: SEO-optimized blogs, thought leadership articles, and product launch strategies to boost visibility. ✅ Developer Advocacy: Building trust and community through clear communication and engagement strategies.With a proven track record of working with YC-backed startups, Nasdaq-listed companies, and cutting-edge tech teams, Studio1Hq helps your project stand out, drive adoption, and create lasting impact.🔗 Learn more about Studio1Hq and how we can help your startup grow at <a target="_blank" rel="noopener noreferrer nofollow" class="text-green-500 rich-link break-all link-break" href="http://studio1hq.com">studio1hq.com</a>.

Studio1Hq

Are you tired of constantly switching between different applications just to generate text? Are you looking for a way to utilize the power of AI directly from your Linux command-line interface (CLI) terminal?If so, then this npm package is the perfect solution for you.Gen-ai-chat is a Node.js command-line interface (CLI) tool that interacts with the Google Gemini API to generate content based on user input. With this tool, you can ask questions directly from your terminal, and get instant responses without the need to switch between different applications.This makes it an incredibly efficient solution for developers and users who prefer working within the terminal environment.Whether you're looking to generate text, get coding assistance, or seek answers to complex questions, Gen-ai-chat streamlines the process, saves you time and enhances your productivity.So What are you waiting for? Go to your terminal, type `npx gen-ai-chat "Your Question"` and see the magic!<h3 class="rich-heading"></h3>