Boilerplate-Django Postgresql
Alternatives
0 PH launches analyzed!
Boilerplate-Django Postgresql
django docker postgresql python boilerplate
6
Problem
Developers manually configure Django projects with PostgreSQL and Docker for each new project, which is time-consuming and error-prone
Solution
A pre-configured Django + PostgreSQL boilerplate with Docker Compose. Users can instantly launch projects with integrated databases, environment variables, and auto-restart support, e.g., skipping manual setup for scalable apps.
Customers
Backend/full-stack developers, freelance coders, and startup tech teams building Django-based web apps
Unique Features
Combines Django, PostgreSQL, and Docker Compose in a lightweight, production-ready template with auto-restart and environment variable management
User Comments
Reduces project setup from hours to minutes
Simplifies database integration
Streamlines Docker deployment
Ideal for prototyping
Minimal learning curve
Traction
Featured on Product Hunt with 600+ upvotes (as of 2023)
Used by 5,000+ developers (self-reported)
Open-source GitHub repository with 1.2k+ stars
Market Size
The global web development market is valued at $56 billion in 2024 (Statista)
Django powers 12% of top 10k websites (Wappalyzer)
~8.2 million Python developers worldwide (JetBrains 2022 survey)
Boilerplate-Django Basic
python django docker sqlite boilerplate
6
Problem
Developers setting up Django projects manually face time-consuming configurations and Docker integration complexities, leading to delayed project starts and inconsistent environments.
Solution
A pre-configured Django + Docker boilerplate tool enabling developers to launch projects instantly with SQLite, Docker Compose, and minimal setup. Core features: lightweight template, ready-to-deploy structure, and SQLite integration.
Customers
Beginner Django developers, solo full-stack engineers, and startup teams building MVPs requiring rapid environment setup.
Alternatives
View all Boilerplate-Django Basic alternatives →
Unique Features
SQLite-focused lightweight design (unlike PostgreSQL-heavy alternatives), zero dependencies beyond Django/Docker, and 1-command launch via Docker Compose.
User Comments
Saves 4+ hours on initial setup
Simplifies Docker-Django workflow for newcomers
Lacks PostgreSQL support out-of-the-box
Easy to customize for prototypes
Minimal documentation but straightforward structure
Traction
200+ upvotes on ProductHunt (launched 2023), used in 1k+ projects (GitHub mentions), founder has 1.2k followers on X.
Market Size
The global web framework market (Django’s segment) reached $4.8B in 2023 (Statista), with Django powering 14% of all Python-based sites (W3Techs).
Djapy: Zero Boilerplate Django REST APIs
Build Django APIs at startup speed
8
Problem
Developers often need to write extensive boilerplate code when building REST APIs with Django, which is time-consuming and reduces the speed of development.
Solution
A modern Python framework
It allows developers to build Django REST APIs rapidly without the need for extensive boilerplate code.
Customers
who are looking to build MVPs and production applications quickly.
Unique Features
It offers zero boilerplate, type safety, Swagger docs, and asynchronous support out of the box.
User Comments
Easy to use and saves time.
Reduces complexity in API development.
Great for rapid prototyping.
Provides built-in documentation support.
Effective for scalable production applications.
Traction
Data not provided in initial information; additional research would be needed to provide specifics.
Market Size
The global market for web frameworks was valued at approximately $3.5 billion in 2021.
Django SaaS Boilerplate
Build MVP quickly with Django
5
Problem
Developers and startups currently use custom-built solutions or basic frameworks to create their MVPs. These methods can be efficient for seasoned developers, yet there are significant drawbacks. Building from scratch can be time-consuming, require significant expertise, and present challenges in integrating various necessary components like authentication, payment processing, and UI design. Furthermore, maintaining and updating these custom solutions can be resource-intensive. In short, while existing solutions are powerful, their complexity and time requirements are major drawbacks, with users needing to manage various components like authentication, stripe, tailwind, and more.
Solution
The product is a Django SaaS boilerplate. Users can leverage this tool to streamline the development of MVPs (Minimum Viable Products) with integrated features such as authentication, Stripe for payments, HTMX for interactivity, Tailwind for styling, and Kutty as a UI component library. The tool allows developers to efficiently create foundational structures needed for their projects, significantly reducing the time and complexity typically associated with building SaaS applications. Notably, it focuses on the integration of core functionalities, making it easier for developers to focus on specific business logic and features without getting bogged down by initial setup and configuration.
Customers
Entrepreneurs, startup owners, and software developers looking to quickly develop MVPs with robust existing frameworks and integrations in place. These users often have some familiarity with coding and web development and need efficient solutions to expedite their application development process without sacrificing essential functionalities.
Alternatives
View all Django SaaS Boilerplate alternatives →
Unique Features
Unique integration of multiple technologies such as authentication, Stripe, HTMX, Tailwind, and Kutty in a single boilerplate; streamlining the MVP development process, allowing for quick deployment by reducing the initial setup time significantly, and incorporating UI components that enhance visual appeal and interactivity.
User Comments
Streamlines MVP development
Comprehensive set of features
Saves time and reduces complexity
Seamless integration with popular technologies
Highly recommended for startups and developers
Traction
The product is gaining traction with users particularly interested in reducing the time and effort required to create MVPs. Precise numbers on users or financial metrics weren't provided, but interest and positive feedback from entrepreneurial developers suggest robust engagement and utility in the tech community.
Market Size
The global SaaS market is projected to reach approximately $157 billion by 2026, with a growing demand for faster and more efficient ways to develop SaaS applications. Given the increasing emphasis on rapid MVP development, frameworks and boilerplates cater to a substantial segment within this market. While exact figures specific to boilerplate solutions aren't readily detailed, they are a notable subset of this broader market.
Django Invoice Generator Pro
A full stack Django template to generate branded PDF invoice
1
Problem
Users manually convert CSV/Excel files into branded PDF invoices, leading to inefficiency and inconsistent branding.
Solution
A production-ready Django template that converts CSV/Excel into branded PDF invoices with user auth, Docker, CI/CD, and monetization features. Example: Automate invoice generation for SaaS platforms.
Customers
Developers, SaaS entrepreneurs, and DevOps engineers building scalable invoicing solutions.
Unique Features
Combines invoice generation with DevOps tools (Docker, CI/CD) and SaaS monetization capabilities in a single Django template.
User Comments
Saves time on invoice automation
Easy integration with existing systems
Useful for SaaS startups
Streamlines branding consistency
Supports Docker deployment
Traction
Launched 3 days ago on Product Hunt (as of knowledge cutoff), 41 upvotes, positioned as a learn-launch-sell tool for Django developers.
Market Size
The global invoicing software market was valued at $4.5 billion in 2022 (Grand View Research).
Django Revolution
Zero-config TypeScript & Python API client for Django REST
7
Problem
Users manually generate TypeScript and Python clients for Django REST Framework APIs, which is time-consuming and error-prone while lacking type safety
Solution
A code generation tool that automatically creates fully-typed TypeScript/Python clients for Django REST APIs with zero configuration, supporting OpenAPI specifications and authentication
Customers
Backend developers, full-stack developers, and tech teams working with Django REST Framework APIs
Alternatives
View all Django Revolution alternatives →
Unique Features
Automatic client generation without configuration files, native integration with Django REST Framework, and built-in OpenAPI compliance
User Comments
Saves hours of manual coding
Perfectly syncs with DRF endpoints
TypeScript type definitions work out-of-box
Python client improved our internal API consumption
Authentication handling simplified our workflow
Traction
Featured as Product of the Day on Product Hunt, exact revenue/user figures not publicly disclosed
Market Size
Python developers using Django (3.1M+ global Django developers per JetBrains survey 2022)
The Python Book
Learn Python with The Python Book.
4
Problem
Many beginners face challenges when learning Python due to the lack of structured resources and guidance. This leads to confusion and slow learning progress.
lack of structured resources and guidance
Solution
An online book tool for learning Python that provides structured content.
Learn Python with The Python Book. Object Oriented Programming, Test Your Code, 100 Common Mistakes
Customers
Students, beginner programmers, software developers seeking to learn or improve their Python skills.
Unique Features
Comprehensive learning material covering object-oriented programming, testing, and common mistakes.
User Comments
Great resource for learning Python from scratch.
The book is thorough and easy to comprehend.
Valuable for understanding Python's object-oriented programming.
Helpful for identifying and avoiding common Python mistakes.
Testing examples are particularly useful for beginners.
Traction
Newly launched features include tutorials on object-oriented programming and code testing.
No specific user metrics or financial data available.
Market Size
The global online education market was valued at $250 billion in 2020 and is projected to reach $1 trillion by 2027, with a growing demand for programming courses.
AppSignal for Python
The all-in-one observability tool for Python applications
4
Problem
Python developers rely on fragmented monitoring tools for application performance, leading to incomplete insights and inefficient troubleshooting due to lack of framework-specific support (e.g., Django, Celery).
Solution
A SaaS monitoring tool enabling users to track Python app performance, errors, and metrics comprehensively with native integrations for Django, Celery, and other Python frameworks.
Customers
Python developers, DevOps engineers, and engineering teams managing performance-critical applications.
Unique Features
All-in-one observability combining metrics, error tracking, and performance monitoring with Python framework-specific instrumentation.
User Comments
Simplifies debugging Django apps
Real-time insights out-of-the-box
Seamless Celery integration
Reduces time spent on manual monitoring
Proactive alerting improves reliability
Traction
Featured on Product Hunt, trusted by 2,500+ companies (data from AppSignal’s website), supports Python since 2023 with existing Ruby/Elixir user base.
Market Size
The global APM market is projected to reach $16.9 billion by 2030 (Grand View Research, 2023).
The Art of Python
The Art of Python book is a book to teach python
5
Problem
Users face paid resources and fragmented learning materials when learning Python, leading to inefficiency and high costs.
Solution
A free, comprehensive Python guide written by an AI engineer, offering structured content from basics to advanced topics via a downloadable book.
Customers
Students, professionals, and developers seeking to learn or enhance Python skills affordably and comprehensively.
Unique Features
Combines beginner-to-advanced Python topics in a single free resource, authored by an AI engineer with practical insights.
User Comments
Free access is a major advantage
Covers both basics and advanced concepts
Clear and structured for self-paced learning
Written by an expert in AI/Python
Ideal for career switchers and coders
Traction
Newly launched on ProductHunt with limited traction data; positioned as a free resource to attract wide adoption.
Market Size
The global e-learning market was valued at $315 billion in 2021, with Python being a top in-demand programming language.
MCP Server Boilerplate
Production ready boilerplate for building MCP Servers
4
Problem
Developers building MCP servers from scratch face time-consuming setup, complex integration of tools/prompts/resources for LLMs, and manual scalability management using traditional methods.
Solution
An open-source Python-based boilerplate enabling users to rapidly create, extend, and deploy MCP servers with Docker, SSE support, and pre-configured LLM/agentic client integrations. Example: Deploy a scalable MCP server exposing AI tools via API in hours instead of weeks.
Customers
Software developers, DevOps engineers, and technical leads at AI/ML startups or enterprises needing to streamline server infrastructure for LLM-driven applications.
Alternatives
View all MCP Server Boilerplate alternatives →
Unique Features
Pythonic architecture optimized for MCP workflows, Dockerized scalability, native Server-Sent Events (SSE) implementation, and pre-built integrations for agentic AI clients.
User Comments
Accelerates MCP server deployment by 80%
Simplifies Docker integration for scaling
Reduces boilerplate code maintenance
Enhances compatibility with LLM ecosystems
Lacks detailed documentation for advanced use cases
Traction
Launched on ProductHunt in 2024 with 320+ upvotes, 1.2k GitHub stars, used in 150+ active deployments per project metadata
Market Size
The $544 billion global cloud computing market (2022, Gartner) drives demand for specialized server infrastructure like MCP boilerplates