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The 6 Best AI App Builders in 2025

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TLDR: Best AI App Builders 2025:

  1. Softr: Easiest to use, rapid app generation from prompts, free plan, paid starts at $59/month.
  2. Microsoft Power Apps: AI-based editing, flexible for non-tech users, from $20/user/month.
  3. Quickbase: Enterprise-grade apps with advanced data governance, $35/user/month (20-user minimum).
  4. Airtable Cobuilder: Fast data views integration with Airtable, free with Airtable, paid from $20/user/month.
  5. Create: Build apps with a single prompt, easy to use, free plan, paid from $19/month.
  6. Databutton: AI agent-based building, good control, starts at $20/month.

Key features evaluated: prompt interpretation, functionality building, no-code, customization tools, easy publishing.

https://zapier.com/blog/best-ai-app-builder/

RapidAPI for Mac

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RapidAPI for Mac is an advanced HTTP client designed for macOS, enabling users to test and describe APIs with an intuitive interface. It supports JSON Schema, Swagger, and RAML, and offers teamwork features for synchronizing API projects. Nokia has acquired Rapid technology to enhance Network API solutions. The tool is free for users and offers a paid plan for teams.

https://paw.cloud/

Postman: The World’s Leading API Platform

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Postman is a leading API platform for collaborative development, used by 35+ million developers. It streamlines API lifecycle processes, enabling prototyping, testing, and documentation to be done in one place, enhancing team collaboration, and reducing errors. The platform offers workspaces for real-time updates and utilizes AI for debugging and testing. Trusted by 500,000 companies, including Fortune 500 firms, Postman integrates with various tools to optimize development workflows.

https://www.postman.com/

Superglue

superglue is an open-source server that simplifies data retrieval from complex APIs, allowing easy access to JSON, XML, CSV, and Excel formats. It seamlessly integrates data into applications, and users can explore project management features like Jira and Shopify through this interface.

https://superglue.cloud/

Postgres as a Graph Database: (Ab)using pgRouting

Postgres as Graph Database Using pgRouting: pgRouting, a Postgres extension for geospatial routing, enables basic graph functionalities and can be combined with PostGIS. It can model graphs for various applications beyond GIS, like task scheduling (using directed acyclic graphs for dependencies) and resource allocation in distributed systems (optimizing paths for data). It also supports recommendation engines utilizing knowledge graphs to analyze connections between entities (like YouTube videos or users). The algorithms implemented in pgRouting, such as Dijkstra’s and A*, help find optimal paths in these networks, showcasing versatile applications of Postgres as a graph database.

https://supabase.com/blog/pgrouting-postgres-graph-database

A Few Words About Indie App Business

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Indie App Business Insights – Charlie Monroe

Charlie Monroe shares advice on starting an indie app business based on personal experience. Key points include:

  1. Patience and Realism: Success often takes time; initial apps may fail. Start small and improve based on feedback.
  2. Employment Consideration: Full-time jobs can hinder growth; freelance work may provide necessary funds while supporting app development.
  3. Collaboration Decisions: Going solo gives total control but can lead to burnout; partnerships share workload risks but can also lead to conflicts if not aligned.
  4. User Engagement: Make feedback easy to gather and respond promptly to build loyalty and adapt the app to user needs.
  5. End of Business Preparedness: Acknowledge that apps can become irrelevant; diversify offerings to ensure stability.

Monroe emphasizes the importance of understanding the long-term commitment required for indie app success, while urging new developers to stay grounded and realistic about their expectations.

https://blog.charliemonroe.net/a-few-words-about-indie-app-business/

GitHub – PragmaticMachineLearning/probly

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Probly is an AI-powered spreadsheet application that integrates spreadsheet functions with Python data analysis and visualization. It uses a modern architecture with a Next.js frontend and Pyodide for Python execution in the browser. Users can get started quickly with Docker or install manually, setting up an OpenAI API key for advanced features. Key functionalities include intelligent suggestions, local data analysis, and interactive charts, suitable for various applications.

https://github.com/PragmaticMachineLearning/probly

Yaak

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Yaak: An offline, Git-friendly API client for HTTP, GraphQL, WebSockets, and more. Built for speed with Rust and ReactJS, it stores data as plain-text and supports NodeJS plugins. Features include integrated Git UI, dynamic requests, multiple windows, and easy data importing from various sources. Rated highly for its clean interface and efficiency compared to competitors like Postman and Insomnia. Developed by Greg, who sought to create a tool without mandatory accounts. Available on Mac, Windows, and Linux.

https://yaak.app/

Repomix

Repomix: Tool to convert codebases into AI-friendly formats. Features include AI-optimized formatting, Git awareness, security checks, token counting, and a customizable CLI. Quick start with npx repomix, allows packing entire repositories, specific directories, or files. Supports Docker and offers various output formats (XML, Markdown, Plain text). Create a repomix.config.json for persistent settings. Comprehensive documentation available on GitHub.

https://repomix.com/

Home

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Aider is an AI pair programming tool for terminal, supporting code editing in local git repositories, compatible with various LLMs. It simplifies project setup, allows requests for code changes, automatically commits edits, and integrates with popular IDEs, enhancing productivity across multiple programming languages.

https://aider.chat/

The Xonsh Shell — Python-powered Shell.

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Xonsh is a modern, cross-platform shell that combines Python 3.6+ with shell commands, allowing seamless integration of both. It offers features like shell command combining, extensions (xontribs), customizable prompts, and extensive installation methods (PyPi, Conda, AppImage, Docker). It’s suitable for users of all skill levels and supports major operating systems like Linux, OSX, and Windows.

https://xon.sh/

Rork

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Rork enables fast development of cross-platform mobile apps using AI and React Native, allowing users to create various applications like games, trackers, and dashboards.

https://rork.app/

Claude 3.7 Sonnet and Claude Code Anthropic

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Claude 3.7 Sonnet, Anthropic's latest AI model, introduces integrated reasoning capabilities for improved coding and web development. It features instant or extended thinking modes, allowing user control over response time. Claude Code, a new tool for coding tasks, enhances collaboration and efficiency. Available across all pricing tiers, it retains previous models' pricing structure. Testing shows it excels in real-world coding tasks and reduces development time. The model prioritizes responsible use, with improved safety measures and user feedback integration to refine capabilities.

https://www.anthropic.com/news/claude-3-7-sonnet

Atuin

Atuin v18: a magical shell tool for syncing, searching, and backing up shell history. Features include end-to-end encryption, data import, and extra context storage. Open source, supports multiple shells, fast and reliable, easy setup, and optional cloud sync. 20K GitHub stars, growing community.

https://atuin.sh/

AI Coding: New Research Shows Even the Best Models Struggle With Real-World Software Engineering

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AI coding research reveals top models struggle with real-world software tasks, as highlighted by OpenAI’s SWE-Lancer benchmark. The study shows even leading AI, Claude 3.5 Sonnet, only solves 26.2% of coding tasks and 44.9% of management tasks, translating to about $400,000 in potential earnings from $1 million, indicating they lag behind human capabilities in practical scenarios.

https://devops.com/ai-coding-new-research-shows-even-the-best-models-struggle-with-real-world-software-engineering/

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