Tuesday, June 30, 2026

I want to build an app called "BuddyShrine". ## The Problem Claude Code's /buddy companion feature was silently removed with no changelog entry on April 9, generating 2,024 upvotes and 262 emotionally charged comments from developers who had formed genuine attachment to it. ## Target Audience Claude Code users who relied on /buddy for morale, focus, and emotional continuity during long coding sessions ## Core Idea A community-maintained library of Claude Code companion personalities so developers can restore the emotional continuity that /buddy provided. When Anthropic silently removed the /buddy feature from Claude Code, thousands of developers lost a companion they had genuinely bonded with. BuddyShrine lets developers create, share, and import named companion personas as CLAUDE.md personality fragments — effectively recreating the /buddy experience as a portable, community-owned layer on top of any Claude Code session. No API key required beyond your existing Claude subscription. ## Monetization Strategy Free community tier; $6/month Pro for private persona storage, version history, and team persona sharing ## Requirements - Category: Developer Tool - Difficulty: Week - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "FlipBoard Live". ## The Problem The HN flip-board display of Hacker News stories received 114 upvotes and 28 comments with strong positive reception, proving the aesthetic has viral pull, yet no embeddable product form exists for event organizers to use this for live data. ## Target Audience Sports league admins, esports organizers, hackathon hosts, and conference producers who want visually striking live scoreboards ## Core Idea Embed a real-time flip-board style scoreboard for any live event on any website with a single script tag. The HN flip-board Show HN proved the aesthetic has enormous viral pull — people love the tactile, retro feel of split-flap displays for live data. FlipBoard Live is an embeddable widget that lets sports leagues, esports organizers, hackathon hosts, or conference organizers drop a gorgeous animated flip-board showing live scores, countdowns, or leaderboards onto any page with one line of HTML. Scores update in real time via a simple REST API or webhook. ## Monetization Strategy Free tier for one board; $12/month per board for custom branding, multiple data sources, and historical replay ## Requirements - Category: SaaS - Difficulty: Week - Suggested stack: Next.js + Supabase + Stripe Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "PaceMap". ## The Problem The GitHub contribution graph gamifies over-commitment and open-source contributors have no tool to detect burnout patterns before they disappear — validated by 1,789 upvotes and 202 comments on the isaacs/github issue. ## Target Audience Open-source maintainers, active contributors, and engineering managers who want to support sustainable contribution habits ## Core Idea A gentle dashboard that shows open-source contributors their sustainable contribution rhythm and flags when they are approaching burnout territory. GitHub's contribution graph rewards volume with no consideration for sustainability, and the 1,789-upvote GitHub issue on isaacs/github documents how this harms contributor well-being. PaceMap connects to your GitHub account, analyzes your contribution history across time zones, weekends, and after-hours sessions, and gives you a personalized sustainability score. It highlights streaks that correlate with historical burnout signals and sends a gentle weekly digest suggesting when to rest — framed as celebrating sustainable output rather than shaming overwork. ## Monetization Strategy Free personal dashboard; $8/month team tier for maintainers to monitor contributor health across their projects with anonymous aggregated signals ## Requirements - Category: Health - Difficulty: Week - Suggested stack: Next.js + Supabase + PWA + Chart.js Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "DecompPath". ## The Problem The game decompilation community has no structured learning path — knowledge is scattered across Discord servers, wikis, and individual projects, making it extremely hard for newcomers to start despite strong interest. ## Target Audience Retro gaming enthusiasts, CS students, assembly and C learners, and nostalgic developers who want to contribute to game preservation projects ## Core Idea A structured learning path and community hub for getting started with game decompilation. DecompPath is an education platform that organizes the scattered knowledge of the game decompilation community into a curated, progressive curriculum — from binary basics to matching C code for specific game engines like GameCube or N64. It combines guided projects, annotated real decompilation diffs, and a Discord-linked community where learners can get unstuck without drowning in expert channels. The platform is inspired directly by the Show HN for Decomp Academy which received 195 upvotes and 78 comments, validating that newcomers desperately want a structured entry point. ## Monetization Strategy Free tier with community access, $8/month for guided project tracks and mentor Q&A sessions ## Requirements - Category: Education - Difficulty: Month - Suggested stack: Next.js + Supabase + MDX for content Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "LobsterVault". ## The Problem Lobsters has years of high-quality technical discussion but no way to search or surface the best historical comments — users explicitly asked for a way to find old gems they have missed in a 172-upvote thread. ## Target Audience Lobsters readers, technically-minded developers who value long-form discussion, and developers doing research on past technical debates ## Core Idea Surface the best historical Lobsters comments you've missed, curated by the community. LobsterVault indexes all public Lobsters comments and lets users nominate, upvote, and tag their all-time favorites, creating a living archive of the community's best insights across years of discussion. A weekly digest email surfaces highly-nominated comments by topic so readers can catch up on gems they missed without scrolling through archives. The Show HN for this concept was directly validated by a 172-upvote Lobsters thread explicitly asking the community for their favorite historic comments. ## Monetization Strategy Free with optional $3/month supporter tier for full-text semantic search and personalized digest topics ## Requirements - Category: Social - Difficulty: Week - Suggested stack: Next.js + Supabase Realtime + Auth Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "CodeRecovery". ## The Problem Developers using AI coding agents exclusively are experiencing skill atrophy and losing confidence in their own abilities, with Stack Overflow questions scoring 119, 22, and 14 upvotes asking how to code without AI dependence. ## Target Audience CS students and junior developers who over-relied on AI during their studies and early careers, and senior developers worried about losing their fundamentals ## Core Idea A structured 30-day program to rebuild your core programming skills after becoming AI-dependent. CodeRecovery is an interactive course for developers who have realized they can no longer solve problems independently after relying on AI tools for all their coding work. It uses spaced repetition, timed no-AI coding challenges calibrated to the learner's stack, and deliberate exercises targeting the specific reasoning gaps that atrophy first — debugging, algorithm intuition, and reading unfamiliar codebases. Progress is tracked with a skill confidence score that increases as the learner demonstrates independent problem-solving, giving concrete evidence of recovery. ## Monetization Strategy $19 one-time for the 30-day program, $8/month for ongoing practice challenges and new module drops ## Requirements - Category: Education - Difficulty: Month - Suggested stack: Next.js + Supabase + MDX for content Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "SnapRedact". ## The Problem Developers and knowledge workers are accidentally pasting personal or sensitive data into cloud AI tools, creating compliance and privacy risks with no frictionless prevention layer — a recurring concern in AWS Bedrock data retention discussions and AI workflow threads. ## Target Audience Developers, lawyers, healthcare workers, and compliance officers who use cloud AI tools but handle sensitive data ## Core Idea Automatically detect and redact PII from your clipboard before it gets pasted into cloud AI tools. SnapRedact is a lightweight desktop app that sits in the system tray and intercepts clipboard content, scanning for personally identifiable information like names, email addresses, phone numbers, SSNs, and API keys before you paste into ChatGPT, Claude, or any other cloud AI tool. Detected sensitive data is highlighted and optionally replaced with realistic-looking synthetic placeholders so your prompt still makes sense to the AI without exposing real data. It works entirely locally with no cloud component, making it safe for regulated industries where compliance is a concern. ## Monetization Strategy $7/month individual, $15/user/month for teams with audit logging and custom PII patterns ## Requirements - Category: Productivity - Difficulty: Week - Suggested stack: Next.js + localStorage or Supabase + PWA Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "CursorGuard". ## The Problem Installing the Cursor iOS app silently and irreversibly changed privacy settings from 'Do not store my code' (Legacy Privacy Mode) to a data-sharing mode, with no warning or consent — discovered by a furious HN user with 190 upvotes and 27 comments. ## Target Audience Privacy-conscious developers using AI-assisted IDEs like Cursor, GitHub Copilot, or Windsurf ## Core Idea Automatically detects and blocks IDE privacy setting changes that silently downgrade your data protection without your knowledge. CursorGuard monitors your AI coding tool privacy configurations and alerts you when any setting is changed — especially during app updates or installs. It captures a snapshot of your privacy state before and after any IDE update, shows you exactly what changed, and lets you restore your preferred settings with one click. Designed for developers who care about keeping their code off external servers. ## Monetization Strategy Free core monitoring with a $5/month Pro tier for team-wide policy enforcement and audit logs ## Requirements - Category: Developer Tool - Difficulty: Weekend - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "TerraState". ## The Problem Terraform's GitHub issues around backend variable support and module overrides have 1,301 and 1,551 upvotes respectively, while teams consistently complain that infrastructure documentation falls out of sync with no automated solution that reads actual state. ## Target Audience DevOps engineers and platform teams managing multi-environment Terraform infrastructure who spend time manually updating architecture diagrams ## Core Idea Automatically generate and maintain always-accurate infrastructure diagrams directly from your live Terraform state. TerraState reads your Terraform state file and generates interactive, always-current architecture diagrams with no manual drawing required. It hooks into your CI pipeline so diagrams update on every apply, supports multi-cloud resources, and exports to PNG, SVG, or embeddable HTML. Unlike static diagram tools, TerraState also highlights drift — resources in your state that no longer match the diagram from your last apply. ## Monetization Strategy Free for up to 25 resources; $19/month per workspace for unlimited resources, drift alerts, and team sharing ## Requirements - Category: Developer Tool - Difficulty: Month - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "DreamJar". ## The Problem A Software Recommendations request explicitly asked for an Android app to record dreams and identify trends for a colleague with PTSD nightmares, noting that no existing diary app has dream-specific pattern analysis. ## Target Audience People curious about their dream patterns, individuals with recurring nightmares or PTSD, and therapists who work with nightmare disorders ## Core Idea Record dreams by voice the moment you wake up and let AI surface recurring symbols, emotions, and patterns over time. DreamJar is a mobile-first dream journal built around the unique constraints of dream recording: you must capture before you forget, so the app opens instantly to a large voice record button with no friction. Recordings are transcribed locally, then an on-device model tags emotions, symbols, recurring characters, and settings. A weekly digest shows trends across your entries, and users with PTSD nightmares can share pattern reports directly with their therapist. ## Monetization Strategy Free for 30 entries/month; $4/month unlimited with therapist-shareable trend reports and offline transcription ## Requirements - Category: Health - Difficulty: Week - Suggested stack: Next.js + Supabase + PWA + Chart.js Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "GrainCheck". ## The Problem Developers writing clean, organized code with consistent naming conventions are receiving 90-99% AI-generated scores from detection tools despite writing every line themselves — a professionally damaging false positive described on Stack Overflow with 18 upvotes. ## Target Audience Developers, CS students, and contractors whose clean coding style triggers false AI-detection positives from employers or academic institutions ## Core Idea Paste any code snippet and instantly get a human-plausibility score with a plain-English explanation of why AI detectors are flagging it — so you can push back with evidence. Developers writing clean, consistently styled code are being falsely accused of AI generation by employers and instructors, with no tool to help them understand or contest the result. GrainCheck runs your code through multiple detection models, shows you exactly which patterns triggered each detector (naming consistency, comment density, structural regularity), and generates a rebuttal document explaining why those traits are present in human-written code from experienced developers. It also lets you annotate your code with commit history and typing cadence metadata to strengthen your case. ## Monetization Strategy Free for 3 analyses/month; $7/month unlimited with rebuttal document export and bulk analysis for portfolios ## Requirements - Category: Developer Tool - Difficulty: Week - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "OpenKnowledgeTeams". ## The Problem The OpenKnowledge Show HN received 380 upvotes and 173 comments with many respondents asking about team collaboration and persistent context sharing across AI agent sessions — a gap the solo-user-focused tool does not address. ## Target Audience Engineering teams of 3-20 people using multiple AI coding agents who lose architectural context between sessions and across teammates ## Core Idea A shared knowledge base for engineering teams that lives alongside your code and stays in sync with every AI agent session. The Show HN for OpenKnowledge revealed strong demand not just for personal AI-first notes but for team-shared context that persists across Claude Code, Codex, and Cursor sessions. OpenKnowledgeTeams adds a multiplayer layer on top of the existing open-source OpenKnowledge editor — shared pages, per-repo context injection, and an MCP server that automatically surfaces relevant team notes to whichever agent is running. It solves the problem of AI session context being siloed on one developer's machine. ## Monetization Strategy Free for solo use; $12/seat/month for team shared workspaces, per-repo context injection, and MCP server integration ## Requirements - Category: SaaS - Difficulty: Month - Suggested stack: Next.js + Supabase + Stripe Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "GmailSieve". ## The Problem Gmail silently routes messages to Trash rather than Spam due to conflicting filter rules, and users struggle to write syntactically correct body-matching filter search strings — both pain points appear across multiple Web Apps Stack Exchange questions. ## Target Audience Power Gmail users, professionals managing high-volume inboxes, and anyone who relies on Gmail filters for inbox organization ## Core Idea A visual rule builder that stops Gmail from silently routing important emails to Trash instead of Spam. GmailSieve is a web app that connects to Gmail via OAuth and provides a plain-English rule editor that compiles to syntactically correct Gmail search strings, with real-time validation showing which messages each rule would affect before saving. It specifically detects conflicting filter rules that cause Gmail to route messages to Trash rather than Spam, surfacing the conflict with a clear explanation and a suggested fix. Users can audit all existing filters in a unified view and test new body-matching search strings against their actual inbox without manual trial and error. ## Monetization Strategy Free for up to 10 filters, $4/month for unlimited filters and conflict detection ## Requirements - Category: Productivity - Difficulty: Week - Suggested stack: Next.js + localStorage or Supabase + PWA Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "SubSweep". ## The Problem Developers and sysadmins want a dig-like tool that automatically enumerates all subdomains rather than querying them one at a time, as raised on Software Recommendations Stack Exchange. ## Target Audience Sysadmins, DevOps engineers, security researchers, and developers doing network audits ## Core Idea A dig-like CLI tool that automatically enumerates all subdomains for a domain in a single command. SubSweep wraps multiple DNS enumeration strategies — dictionary brute force, certificate transparency log queries, and zone transfer attempts — into a single clean CLI interface that feels like running dig but returns a full subdomain map automatically. Results are deduplicated and output in machine-readable formats including JSON and CSV for easy piping into other tools. Unlike existing tools that require complex configuration or only use one technique, SubSweep runs a sensible multi-method sweep out of the box with a single command. ## Monetization Strategy Open source CLI with a hosted API tier at $12/month for high-volume scans and continuous monitoring ## Requirements - Category: Developer Tool - Difficulty: Week - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "ZigDelta". ## The Problem The Zig LLVM decoupling GitHub issue has 1,773 upvotes and 208 comments from developers tracking progress but having no automated way to measure the impact on their own projects. ## Target Audience Zig developers and compiler enthusiasts who want to track how LLVM removal milestones affect their builds ## Core Idea Track the practical impact of Zig's LLVM decoupling on your own projects with automated build-time and binary-size benchmarks across compiler versions. The Zig project's multi-year effort to eliminate LLVM dependencies is one of the most ambitious compiler engineering projects in open source, but individual developers have no easy way to see how each milestone affects their own codebase. ZigDelta runs your project against multiple Zig compiler builds, charts compile time, binary size, and test pass rate over time, and surfaces regressions the moment they appear. It's a CI-friendly dashboard specifically for the Zig ecosystem. ## Monetization Strategy Free self-hosted CLI; $9/month hosted dashboard with historical trend storage and Slack/Discord alerts ## Requirements - Category: Developer Tool - Difficulty: Month - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "CopilotFence". ## The Problem Maintainers want to ban GitHub Copilot from reviewing PRs in their repos but there is no built-in mechanism, as raised explicitly on Web Apps Stack Exchange with no solution found. ## Target Audience Open-source maintainers and teams who have policies against AI-generated code review ## Core Idea Give open-source maintainers a one-click way to ban GitHub Copilot from reviewing PRs in their repository. CopilotFence is a GitHub App that maintainers install to automatically detect and dismiss Copilot review comments, block the Copilot bot user from future PR interactions, and optionally post a repository notice explaining the policy. It addresses the lack of any native GitHub mechanism to restrict the Copilot user from participating in code reviews on repos where maintainers have explicitly opted out. Configuration takes under two minutes and works across all existing and future PRs. ## Monetization Strategy Free for public repos, $5/month per organization for private repos ## Requirements - Category: Developer Tool - Difficulty: Weekend - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "DRMShelf". ## The Problem Readers wanting DRM-free books have no central marketplace — they must find individual author sites or sift through existing platforms that mix DRM and non-DRM titles with no clear filter. ## Target Audience Book readers who value ownership and format freedom, self-published authors, and open-access advocates ## Core Idea A curated marketplace connecting readers directly to DRM-free ebooks from independent and self-published authors. DRMShelf is a storefront and discovery platform exclusively for DRM-free ebooks, where authors list titles and readers can browse by genre, download in any format, and keep their purchases forever without platform lock-in. Authors set their own prices and keep 85% of revenue, with DRMShelf taking a 15% cut to fund hosting and curation. The Show HN for DRM-Free Books received 117 upvotes and 45 comments, confirming that readers actively want a reliable place to find and buy DRM-free titles rather than hunting across individual author sites. ## Monetization Strategy 15% transaction fee on all sales; optional $5/month author pro tier for featured placement and analytics ## Requirements - Category: Marketplace - Difficulty: Month - Suggested stack: Next.js + Supabase + Stripe Connect Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "NubDeploy". ## The Problem Nub (a Bun-like all-in-one Node.js toolkit) received 277 upvotes and 80 comments on HN, with many developers asking about deployment and artifact publishing workflows that the tool does not yet cover. ## Target Audience Node.js developers who adopted Nub for its unified DX and want to extend the same simplicity to deployment without separate tooling ## Core Idea Zero-config deployment and artifact publishing for Node.js projects using the Bun-compatible all-in-one Nub toolkit. Nub already gives Node.js developers a unified build, test, and run experience without switching runtimes. NubDeploy extends it with a deploy subcommand that packages the output, uploads artifacts to a registry, and optionally triggers a serverless or container deploy — all configured in a single nub.config.ts. It targets the same developers who adopted Nub for its simplicity and want to avoid wiring together separate CI scripts, artifact tools, and deploy hooks. ## Monetization Strategy Open-source CLI free forever; hosted artifact registry at $8/month per team with 50GB storage ## Requirements - Category: Developer Tool - Difficulty: Month - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "ScopeBlast". ## The Problem Configuring a Slack app with ~30 OAuth scopes requires clicking through a dropdown 30 separate times with no bulk-add option, wasting significant developer time. ## Target Audience Developers building Slack apps and integrations ## Core Idea Add all your Slack OAuth scopes at once instead of clicking through a dropdown 30 times. ScopeBlast is a developer utility that lets you paste a list of Slack OAuth scopes and bulk-configures them via the Slack API, eliminating the one-by-one dropdown clicking required by the official UI. It works as a browser extension or a small CLI tool that authenticates with your Slack app credentials and applies all scopes in a single operation. Developers configuring complex Slack apps with dozens of scopes save 20-30 minutes of tedious UI work per setup. ## Monetization Strategy Free for up to 10 scopes, $9 one-time for unlimited — or open source with a hosted convenience tier at $5/month ## Requirements - Category: Developer Tool - Difficulty: Weekend - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "ChinaSort". ## The Problem GNU Coreutils sort cannot order CJK numbers by semantic value regardless of locale options, leaving developers with no scriptable tool for sorting Chinese numerals or text by meaning rather than Unicode code point. ## Target Audience Developers and data engineers working with CJK text data, localization engineers, and linguists building text processing pipelines ## Core Idea A command-line tool that correctly sorts CJK text and Chinese numerals by semantic value rather than Unicode code point. ChinaSort is a drop-in replacement for GNU sort that handles Chinese, Japanese, and Korean text ordering correctly, including sorting Chinese numerals like 一、二、三 by their numeric meaning using the Unicode kPrimaryNumeric field rather than arbitrary code point order. It supports piped input and file arguments with the same interface as coreutils sort, making it easy to integrate into existing shell scripts. The tool ships as a single static binary for Linux, macOS, and Windows with no runtime dependencies. ## Monetization Strategy Open source with MIT license; monetize via a hosted API for bulk CJK text sorting at $0.001 per 1000 records ## Requirements - Category: Developer Tool - Difficulty: Weekend - Suggested stack: Node.js CLI or VS Code extension + TypeScript Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.