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Wish Idea To Wish Proposal Builder

Wish Idea To Wish Proposal Builder

Wishlist

Status

Status

Type

  • Enhancement for existing platform
  • New standalone tool

New standalone tool

Build a new repository based on this wish proposal:

  • Wishlist proposal: wish-propose-tool
  • Repository Tags:
    • wish-implementation
    • wish-idea-to-wish-proposal-builder

Related project(s)

Repository Status Developer
- - -

Ownership

  • Original Author: @unameit10000000
  • Current Maintainer(s): @unameit10000000
  • Status: Actively Maintained
  • Transfer Requests: None

Funding

Type

  • 🏆 Grant Funded
  • 💰 Bounty Available
  • 💎 Sponsored
  • 🎁 Accepting Donations
  • 🌱 Looking for Funding
  • ⭐ No Funding Needed

Details

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Propose Tool

Wishlist

Metadata

  • Tool Name: Idea To Wish Proposal Builder
  • Author(s): [@unameit10000000]
  • Start Date: 2023-11-15
  • Future repository: idea-to-wish-proposal-builder

Summary

A tool that automatically converts simple user ideas into fully structured wish proposals following the Wishlist framework.

The tool bridges the gap between casual concept thinking and formal proposal documentation, making it easier for both newcomers and experienced developers to participate in the Wishlist ecosystem.

Motivation

Problem Statement

  • Many potential contributors will have great ideas but might lack the technical writing skills or familiarity with wish proposal formats
  • Creating properly formatted wish proposals is time-consuming
  • The current barrier to entry for submitting wishes could discourages casual contributors

Use Cases

  • New Contributors: A new user with a tool idea can quickly generate a structured proposal without having to learn the entire Wishlist framework
  • Experienced Developers: Seasoned contributors can rapidly generate boilerplate proposals that they can then refine
  • Project Maintainers: Maintainers can use the tool to help standardize incoming proposals
  • Innovative Teams: Teams brainstorming multiple ideas can quickly convert concepts into structured proposals for further evaluation

Goals

  • Reduce the time required to create a proper wish proposal
  • Increase the total number of high-quality wish proposals by making the process more accessible
  • Improve the overall quality and consistency of wish proposals
  • Provide an educational component that helps users understand the elements of a good proposal

Technical Architecture

System Overview

graph TD
    A[User Interface] --> B[Idea Analysis Engine]
    B --> C[Template Selection]
    C --> D[Proposal Generation]
    D --> E[Validation & Feedback]
    E --> F[Export Options]
Loading

Core Components

  • User Interface: Simple, intuitive form for inputting ideas and receiving generated proposals
  • Idea Analysis Engine: NLP-based system that understands the core concept, intended functionality, and necessary technical components
  • Template Selection: Intelligent system to choose between feature and tool templates based on the idea's nature
  • Proposal Generation: Transforms analyzed idea into structured sections following the Wishlist template
  • Validation & Feedback: Checks the generated proposal for completeness and offers suggestions for improvement
  • Export Options: Provides multiple ways to save, share, or directly submit the generated proposal

Technical Stack

  • Frontend: React.js with TypeScript for type safety
  • Backend: Node.js with Express
  • NLP Processing: OpenAI API, Anthropic API, OpenRouter API or Hugging Face transformers
  • Database: Any SQL database
  • Hosting: TBD

Implementation Plan

Phase 1: MVP

  • Simple form interface for idea submission
  • Basic NLP integration for idea analysis
  • Support for generating tool wish proposals
  • Export to Markdown format
  • Basic validation checks

Future phases

TBD.

Some ideas are:

  • Add feature wish proposal support
  • Improve NLP understanding with custom fine-tuning
  • Add interactive editing capabilities
  • Implement user accounts for saving drafts
  • Add template customization options
  • Integration with GitHub for direct proposal submission
  • Advanced validation with suggestions for improvement
  • Community-contributed template library
  • Analytics to track proposal success rates
  • API for third-party integrations

Project Structure

/
├── src/
│   ├── client/           # React frontend
│   ├── server/           # Node.js backend
│   ├── nlp/              # NLP processing modules
│   ├── templates/        # Proposal templates
│   └── validation/       # Validation logic
├── tests/
├── docs/
├── examples/
└── scripts/

Development Requirements

  • Node.js environment
  • React.js environment
  • Access to OpenAI API or other
  • DB instance

Testing Strategy

TBD.

Drawbacks

  • Dependency on NLP services could introduce costs and potential service interruptions
  • Automated generation might not capture the nuance of truly innovative ideas
  • Users might rely too heavily on the tool without understanding the underlying principles
  • Maintaining quality of generated proposals requires ongoing NLP model improvements
  • May face challenges in accurately determining technical feasibility of proposed ideas

Alternatives

  • Manual Templates: Simple Markdown templates with instructions (less automated but more educational)
  • Form Wizard: Step-by-step form that collects required information (less intelligent but more structured)
  • Integration with Existing Tools: Build as a plugin for GitHub or other development platforms

Deployment Strategy

  • Cloud-based deployment using Docker containers
  • Serverless functions for NLP processing to manage costs
  • CDN for frontend assets
  • Freemium model with basic functionality free, advanced features for subscribers
  • Regular updates based on user feedback and template changes

Documentation

  • Comprehensive README with setup instructions
  • User guide explaining how to formulate ideas for best results
  • Tutorial videos for first-time users

Unresolved Questions

  • What is the optimal balance between automation and user input?
  • Could we use metrics to evaluate the success or possible improvements of generated proposals before people decide to submit it?
  • Should the tool include feasibility analysis provding estimated, duration, time and so on?
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