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Show HN Today: Top Developer Projects Showcase for 2025-12-13
SagaSu777 2025-12-14
Explore the hottest developer projects on Show HN for 2025-12-13. Dive into innovative tech, AI applications, and exciting new inventions!
Summary of Today’s Content
Trend Insights
Today's Show HN highlights a powerful trend: applying advanced AI, particularly Large Language Models, to solve everyday personal pain points with a high degree of personalization. PlanEat AI demonstrates how LLMs can move beyond abstract queries to generate actionable plans, integrating multiple data streams like dietary needs and grocery logistics into a cohesive user experience. This isn't just about generating text; it's about intelligent automation that understands and adapts to individual human constraints. On the other hand, the resume project showcases a 'hacker' mindset of meticulously engineering a solution for a common developer frustration – version control for personal assets. By treating a resume as dynamic content managed by a 'headless CMS' and leveraging tools like Next.js and Puppeteer for tailored output, this project exemplifies how developers can build robust systems for specialized content generation, essentially creating a CI/CD pipeline for personal branding. For aspiring developers and entrepreneurs, this signifies a clear path: identify granular problems that impact daily life or workflows, and then engineer creative, data-driven solutions. The key is not just to build something functional, but to build something that deeply understands and serves the user's context, leveraging modern tech stacks to create elegant, efficient, and personalized experiences.
Today's Hottest Product
Name
PlanEat AI
Highlight
This project leverages LLMs to create highly personalized weekly meal plans and intelligently grouped grocery lists. The innovation lies in solving the real-world problem of meal planning by deeply considering user-specific dislikes and available time, while also integrating recipes and grocery lists seamlessly. Developers can learn about practical LLM application for personalized recommendations and efficient data management in a user-centric application.
Popular Category
AI/ML
Productivity Tools
Mobile Apps
Personalization
Web Development
Document Generation
Popular Keyword
LLM
Personalization
Meal Planning
Grocery List
Resume
Version Control
Next.js
Puppeteer
CI/CD
Technology Trends
AI-driven Personalization
Intelligent Data Aggregation
Developer Tooling for Niche Problems
Headless CMS for Dynamic Content
Efficient Document Generation
Project Category Distribution
AI/ML Powered Applications (50%)
Developer Productivity Tools (50%)
Today's Hot Product List
| Ranking | Product Name | Likes | Comments |
|---|---|---|---|
| 1 | PlanEat AI: Smart Meal Planner & Grocer | 1 | 0 |
| 2 | ResumeCraft AI | 1 | 0 |
1
PlanEat AI: Smart Meal Planner & Grocer
Author
franklinm1715
Description
PlanEat AI is an innovative iOS application that tackles the daily challenge of meal planning and grocery shopping. It leverages an LLM (Large Language Model) to create hyper-personalized weekly meal plans tailored to individual dietary goals, dislikes, available time, and kitchen equipment. Unlike generic solutions, it intelligently links recipes with a smart, categorized grocery list, reducing food waste and making shopping more efficient. This translates to a more sustainable and less stressful approach to healthy eating for busy individuals.
Popularity
Points 1
Comments 0
What is this product?
PlanEat AI is an AI-powered iOS app designed to simplify weekly meal planning and grocery list generation. The core innovation lies in its use of a sophisticated LLM to understand user preferences, such as dietary restrictions, ingredient dislikes, available cooking time, and even the types of kitchen equipment one possesses. Instead of providing generic recipes, it crafts a truly personalized meal plan. Furthermore, it ingeniously integrates this meal plan with a dynamically generated grocery list that is automatically organized by store sections, significantly streamlining the shopping process. This approach addresses the common frustration of meal planning apps that often fail to adapt to individual needs, treat recipes and shopping lists as separate entities, and propose unrealistic meal options. The technology aims to bridge the gap between knowing one should eat better and the practical execution of it, making healthy eating more achievable.
How to use it?
Developers can integrate PlanEat AI's functionality into their own applications or workflows by understanding its core principles: user preference modeling, LLM-driven content generation, and dynamic list management. While the current product is an iOS app, the underlying concepts can be applied to web applications, other mobile platforms, or even backend services. For instance, a health and fitness app could leverage PlanEat AI's logic to offer personalized meal suggestions. A smart home device could integrate with it to pre-order groceries. The 'smart grouped grocery list' feature is particularly valuable for any e-commerce platform or delivery service aiming to enhance the user shopping experience by minimizing time spent in stores or optimizing delivery routes. The ability to quickly swap meals and update the list without starting from scratch is a key developer insight into building user-friendly, iterative systems.
Product Core Function
· Personalized weekly meal plan generation: Uses LLM to understand user goals, dislikes, time constraints, and equipment to create a tailored eating schedule. This is valuable because it eliminates the guesswork and ensures meals are enjoyable and achievable, reducing food waste and promoting healthier habits.
· Smart, grouped grocery list: Automatically generates a grocery list based on the meal plan, organized by common store sections (e.g., produce, dairy, pantry). This is valuable for saving time and reducing frustration during shopping trips, ensuring all necessary ingredients are purchased efficiently.
· Step-by-step recipe generation with normal ingredients: Creates simple, easy-to-follow recipes using readily available ingredients. This is valuable because it makes cooking accessible even for those with limited time or culinary experience, encouraging home cooking over less healthy convenience options.
· Dynamic meal swapping and list updating: Allows users to easily swap meals within the plan and have the grocery list automatically adjust. This is valuable for maintaining flexibility in meal planning, accommodating last-minute changes, and avoiding redundant shopping trips.
Product Usage Case
· A busy parent uses PlanEat AI to generate a week of healthy family meals, considering their children's picky eating habits and limited weekend cooking time. The app then provides a grocery list organized by aisle, allowing for a quick and efficient trip to the supermarket, solving the problem of 'what's for dinner' and the stress of grocery shopping.
· A fitness enthusiast with specific macronutrient goals uses PlanEat AI to create a meal plan that aligns with their training regimen. The app suggests recipes that meet their protein and carb targets, and the generated grocery list ensures they have all the necessary healthy ingredients readily available, solving the challenge of precise nutritional planning.
· A student on a budget uses PlanEat AI to plan meals using affordable, common ingredients. The app helps them avoid impulse buys by providing a clear shopping list, reducing food waste and saving money, thus addressing the common problem of overspending on groceries and underutilizing purchased items.
2
ResumeCraft AI
Author
lpipe
Description
This project tackles the perennial problem of resume management by treating your entire career history as a single, structured data source. Instead of juggling multiple document versions, it uses a 'single source of truth' approach. You input all your experiences into a structured format (like a JSON file), and when you find a job description, the system intelligently queries your history to find relevant skills and achievements, then generates a tailored, one-page PDF resume. It's essentially like applying CI/CD (continuous integration/continuous deployment) principles to your job applications, ensuring you always present the most relevant information.
Popularity
Points 1
Comments 0
What is this product?
ResumeCraft AI is a 'headless CMS' specifically designed for managing your professional resume. It functions by storing all your project experience, skills, and career history in a centralized, structured database (akin to a JSON file). When you provide a job description, the system's core logic acts as a smart query engine. It analyzes the job requirements and then searches your comprehensive history for matching keywords and accomplishments. Finally, a custom rendering engine, built with Puppeteer, dynamically generates a perfectly formatted one-page PDF resume tailored to that specific job. The innovation lies in transforming a manual, error-prone task into an automated, data-driven process, much like how software development uses CI/CD to streamline deployments.
How to use it?
Developers can leverage ResumeCraft AI by first populating its database with their complete professional history. This involves organizing past projects, skills, and achievements into a structured format. When a new job opportunity arises, the developer simply pastes the job description into the system. ResumeCraft AI then takes over, performing an intelligent search of the user's history and automatically generating a customized, professional PDF resume. This can be integrated into existing job application workflows by making the generated PDF the primary document submitted for each application, ensuring consistency and relevance.
Product Core Function
· Structured Data Ingestion: The ability to consolidate all career history and project details into a single, organized data structure, enabling efficient retrieval and management of professional information. This means you don't have to remember which version of your resume has what. So this is useful because it centralizes all your career achievements in one place.
· Intelligent Job Description Querying: Sophisticated logic that analyzes job descriptions to identify key skills and requirements, acting as a smart filter for your professional experience. This is useful because it helps you pinpoint exactly what the employer is looking for and match it with your own experience.
· Automated Resume Rendering: A custom Puppeteer engine that dynamically generates a polished, one-page PDF resume tailored to each specific job application, handling complex formatting and page-break issues. This is useful because it saves you significant time and effort in manually reformatting your resume for every single job application, ensuring a professional look.
· CI/CD for Applications: The underlying philosophy of treating resume generation like a software deployment pipeline, ensuring consistency, automation, and efficiency in the job application process. This is useful because it brings a developer's mindset to the job application process, making it more systematic and less prone to human error.
Product Usage Case
· A software engineer applying for a senior backend developer role can paste the job description into ResumeCraft AI. The system will then scan their historical project data, pulling out relevant experience with technologies like Node.js, microservices, and cloud platforms, and automatically generate a PDF highlighting these specific skills and accomplishments for that particular role. This solves the problem of manually editing a resume to fit every job posting.
· A data scientist seeking a position in machine learning can input their extensive project portfolio. When they find a job requiring expertise in NLP and deep learning, ResumeCraft AI will query their data, extract relevant research papers, model implementations, and performance metrics, and compile them into a focused, one-page PDF. This addresses the challenge of condensing a broad range of experience into a concise and impactful summary.
· A marketing professional switching careers to product management can use ResumeCraft AI to consolidate their past campaign successes, market analysis, and cross-functional collaboration experience. When applying for PM roles, the system can generate a resume that emphasizes their strategic thinking, go-to-market planning, and stakeholder management skills, tailoring it to the specific PM job description. This helps overcome the hurdle of adapting experience from one domain to another.