# Amanu vs Cursor Amanu records 0 monthly visits with 0% month-over-month growth and Paid pricing. Cursor records 23,297,751 monthly visits with +8.4% growth and Freemium pricing. | Metric | [Amanu](https://openaitools.app/tool/amanu) | [Cursor](https://openaitools.app/tool/cursor) | | :--- | :--- | :--- | | Website URL | https://amanu.ai | https://www.cursor.com | | Categories | AI App Builder, AI Chatbot, Large Language Models (LLMs), Open Source AI Models | AI Code Assistant, AI Developer Tools, AI Agent | | Pricing Model | Paid | Freemium | | Monthly Visits | 0 | 23,297,751 | | MoM Growth Rate | 0% | +8.4% | | Primary Market | Global | United States | | Direct Visits | 0 | 14,683,770 | | Review Score | 3.8 | 4.7 | | Saved Count | 0 | 29 | | Supported Platforms | Website | Website | ## Amanu Amanu is a build partner for AI startups that want to live inside Telegram. Rather than a self-serve tool, it is a service: the team designs and develops Telegram Mini Apps and the surrounding AI infrastructure, aiming to get an MVP into users' hands fast. Telegram is an appealing home for AI products because Mini Apps blend conversational distribution with real application behavior. Amanu's categories — AI app building, chatbots, LLMs, and consulting — suggest it covers both the product build and the strategic help a young AI company needs. As of our most recent check, amanu.ai showed a "coming soon" page stating that Amanu is being rebuilt, with links to an original Amanu for Slack and to Moyasu, an AI-powered fitness product. That signals an active company in the middle of refreshing its public presence, so confirm the current service scope, availability, and pricing directly with the team. **Pricing & Plans:** A paid, project-based service. Pricing depends on the scope of the Telegram app and AI infrastructure being built, so the team must be contacted for a quote. No public price list was available at the time of review. - **Telegram app development:** Ship AI products inside Telegram, where Mini Apps combine chat reach with app functionality. - **Fast MVP builds:** Move from idea to a working, launchable product quickly so you can test demand before over-investing. - **Full-stack development:** Full-stack delivery covering the front end users touch and the backend that powers your AI features. - **AI infrastructure:** Support with the backend, models, and plumbing needed to run AI features reliably in production. - **AI startup specialization:** Work with a team that focuses on AI startups, from chatbot products to larger LLM-powered apps. **Strengths:** Specializes in the Telegram ecosystem, which is a strong fit for conversational AI; Focus on MVP speed helps startups validate an idea before scaling spend; Covers both app development and AI infrastructure in one partner; Explicitly oriented toward AI startups rather than general web clients **Limitations:** The public site is currently a "coming soon" placeholder, so the full product cannot be evaluated yet; Because the offering is being rebuilt, feature details and current pricing are not published; Telegram-first focus may not suit teams that need a web or native mobile app [Profile (Markdown)](https://openaitools.app/tool/amanu.md) ## Cursor Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed. The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task. This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly. **Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. - **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete. - **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review. - **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository. - **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task. - **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow. **Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors **Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review [Profile (Markdown)](https://openaitools.app/tool/cursor.md) ## Frequently Asked Questions ### How do Amanu and Cursor compare in monthly traffic? Amanu has 0 monthly visits, while Cursor has 23,297,751. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Amanu has a month-over-month growth rate of 0%; Cursor has +8.4%. ### How does pricing compare? Amanu: Paid. A paid, project-based service. Pricing depends on the scope of the Telegram app and AI infrastructure being built, so the team must be contacted for a quote. No public price list was available at the time of review. Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) | | 2 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) | | 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) | | 4 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) | | 5 | [Emergent](https://openaitools.app/tool/emergent) | 5,788,850 | +5% | Freemium | Describe an app in chat and ship it | [.md](https://openaitools.app/tool/emergent.md) | | 6 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) | | 7 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) | | 8 | [Bolt.new](https://openaitools.app/tool/bolt-new) | 3,033,976 | -17.8% | Freemium | Build websites and apps by chatting with AI in your browser | [.md](https://openaitools.app/tool/bolt-new.md) | | 9 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) | | 10 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) | --- Source: https://openaitools.app/compare/amanu-vs-cursor More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)