Thursday, July 2, 2026

I want to build an app called "AlertLocal". ## The Problem County-wide emergency alerts reach millions of people regardless of proximity to the actual hazard, leaving residents unable to determine their personal risk level without manually navigating complex GIS data sources — a critical gap in personal safety tooling. ## Target Audience Residents in wildfire, flood, or hurricane-prone regions who receive broad county alerts and need location-specific risk assessment ## Core Idea Know your actual personal risk from emergency alerts — not just whether the county is affected. AlertLocal receives county-wide emergency alerts and overlays them against the user's real-time GPS position to calculate a personalized risk score, showing distance to the hazard, wind direction, and evacuation routes relevant to their specific location rather than a generic county-wide warning. County alerts go to millions of residents regardless of proximity, leaving people unable to determine whether they personally need to act without navigating raw GIS data. AlertLocal pulls public hazard feeds, NOAA data, and Cal Fire or equivalent state agency APIs to build a location-aware risk dashboard. ## Monetization Strategy Free basic alerts, $2.99/month for real-time risk scoring, custom evacuation routing, and household member tracking ## 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 "TechClear". ## The Problem Developers trying to follow non-AI tech news are overwhelmed by AI story saturation on Techmeme and increasingly on HN, with a 139-upvote HN post explicitly calling for tech news sources that exclude AI coverage. ## Target Audience Software developers and engineers who want to follow general technology news without AI story saturation ## Core Idea A curated tech news feed that algorithmically filters out AI announcements so you can follow the rest of software development again. Techmeme and increasingly Hacker News are dominated by AI funding rounds, model announcements, and hype cycles, making it nearly impossible for developers who want non-AI tech news to stay informed without wading through irrelevant content. TechClear aggregates from the same sources as Techmeme and HN but runs stories through a classifier trained to exclude AI-primary content, surfacing programming language news, open-source releases, infrastructure stories, and developer tooling instead. Users can tune the AI-exclusion threshold and add personal topic preferences for a fully customized technical reading experience. ## Monetization Strategy Free with a weekly digest email, $5/month for real-time feed, custom topic filters, and RSS export ## 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 "ContextSession". ## The Problem Claude Code sessions containing valuable debugging and architecture context are siloed on whichever developer's machine they happened on, with no way to share or search them across a team. ## Target Audience Engineering teams using AI coding agents like Claude Code, Codex, or Cursor collaboratively ## Core Idea Share and search Claude Code session context across your entire team so no debugging breakthrough is ever lost when a tab closes. When a developer has a breakthrough debugging session or discovers the right architecture with an AI coding agent, that entire context is trapped on their local machine and disappears when the session ends. ContextSession automatically snapshots Claude Code and other agent sessions, indexes them semantically, and makes them searchable and shareable across the team so anyone can resume from where a colleague left off. It integrates directly into existing workflows via a CLI hook and a lightweight web dashboard. ## Monetization Strategy $12/user/month for team plan with shared search, $0 for solo developers with local-only 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 "EstoniaGuide". ## The Problem Founders setting up Estonian e-Residency companies encounter many undocumented surprises not covered in official documentation, including banking failures, unexpected tax obligations, and service provider traps. ## Target Audience Technical founders and indie hackers considering or actively running an Estonian OÜ for a SaaS business ## Core Idea The honest, community-sourced guide to running a real business through Estonian e-Residency — covering everything the official docs leave out. Founders considering an Estonian OÜ for their SaaS find that official documentation glosses over critical real-world issues: which banks actually accept e-residents, unexpected VAT obligations, service provider traps, and accounting edge cases that only emerge after incorporation. EstoniaGuide aggregates crowdsourced lessons from founders who have been through it, organized by stage (before applying, banking, accounting, taxes, closing), and pairs them with a checklist tool that tracks your own setup progress. It monetizes through curated referrals to vetted service providers and a premium founder community. ## Monetization Strategy Free content with affiliate referrals to vetted service providers, $15/month for a premium Slack community with expert Q&A ## 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 "LigaturePatch". ## The Problem The Alacritty ligature support GitHub issue has 1,456 upvotes spanning years with no official implementation, forcing developers who want programming ligatures to switch terminals or maintain custom patches. ## Target Audience Alacritty users who want programming ligature support from fonts like FiraCode or Cascadia Code ## Core Idea Drop-in ligature rendering layer for Alacritty that adds programming ligature support without requiring you to switch terminals or maintain custom builds. Alacritty's ligature support GitHub issue has over 1,456 upvotes and spans years of requests with no official implementation, leaving developers who want FiraCode-style programming ligatures forced to either abandon Alacritty or maintain brittle custom patches. LigaturePatch is a thin shim that wraps Alacritty's rendering pipeline to handle ligature substitution at the font level, distributed as a simple installer for macOS and Linux. It stays in sync with upstream Alacritty releases automatically so users never have to recompile or re-patch after updates. ## Monetization Strategy Free for personal use, $5 one-time payment for auto-updater and priority support ## 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 "LatheClone". ## The Problem Developers are becoming so dependent on AI that they cannot write code independently, with multiple Stack Overflow questions scoring 119, 23, and 14 upvotes asking how to code without AI, while the Show HN for Lathe received 402 upvotes validating demand for LLM-assisted learning that doesn't skip the thinking. ## Target Audience CS students and early-career developers who have over-relied on AI tools and want to rebuild independent coding skills ## Core Idea Learn any technical topic hands-on with LLM-generated tutorials you actually type through, not paste from. LatheClone generates structured, source-backed tutorials for any technical domain and forces active recall by having learners type code by hand in a local UI rather than copy-pasting. The tool uses LLMs to scaffold the learning path but deliberately withholds answers until the learner has attempted them, bridging the gap between AI assistance and genuine skill acquisition. It targets the growing cohort of developers who recognize their AI dependency and want a structured way back to independent competence. ## Monetization Strategy Free for 3 tutorials/month, $9/month for unlimited with spaced repetition tracking and progress analytics ## Requirements - Category: Education - Difficulty: Week - 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 "CargoTrim". ## The Problem Rust and Cargo build artifacts silently consume gigabytes of disk space across multiple projects with no built-in tool to identify or selectively clean them beyond a blunt 'cargo clean' that deletes everything. ## Target Audience Rust developers, especially those working on multiple projects or using large frameworks like Bevy ## Core Idea A smart Rust build artifact manager that shows you exactly which projects are eating your disk space and lets you selectively clean them. Rust developers routinely discover their projects consuming gigabytes of disk space from Cargo build artifacts, but the only built-in option is 'cargo clean' which deletes everything and forces a full recompile. CargoTrim scans all Rust projects on your machine, ranks them by artifact size and last-accessed date, and lets you selectively prune old or unused build caches with a single command or a simple TUI. It also sets up automatic cleanup policies so disk bloat never surprises you again. ## Monetization Strategy Free open-source CLI, optional $4/month for a native GUI with scheduled cleanup and multi-machine sync ## 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 "PrivacyToggle". ## The Problem Installing the Cursor iOS app silently and irreversibly changed privacy settings from 'Do not store my code' to a data-sharing mode with no warning or consent, discovered by a furious HN user with 245 upvotes. ## Target Audience Privacy-conscious developers using AI coding assistants who need assurance their data-sharing preferences are not silently changed ## Core Idea A browser extension that monitors and alerts you before AI coding tools silently change your privacy or data-sharing settings. Cursor's iOS app silently and irreversibly changed users' privacy settings from 'Do not store my code' to a data-sharing mode with no warning or consent dialog, a discovery that generated fury and 245 upvotes on HN. PrivacyToggle runs as a browser extension and companion desktop agent that continuously monitors the privacy settings pages of Cursor, GitHub Copilot, and other AI coding tools, alerting you immediately when any setting changes from your established baseline. It also provides a one-click audit dashboard showing your current privacy posture across all connected AI development tools. ## Monetization Strategy Free for single tool monitoring, $4/month for multi-tool monitoring, change history log, and compliance report export ## Requirements - Category: AI/ML - Difficulty: Week - Suggested stack: Next.js + Anthropic Claude API + Vercel AI SDK 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 "GhostLinux". ## The Problem GitHub Desktop has no official Linux support despite a 4,835-upvote multi-year GitHub issue with 342 comments, forcing Linux developers to use inferior alternatives or the web interface for daily Git workflows. ## Target Audience Linux-based software developers who want a GUI Git client with GitHub integration ## Core Idea A polished, native GitHub Desktop client for Linux that actually works. GhostLinux is a fully featured Linux-native GUI Git client that mirrors the GitHub Desktop experience, supporting multiple account switching, repo management, PR creation, and diff views without requiring the terminal. The GitHub Desktop Linux issue has 4,835 upvotes spanning years with no official resolution, leaving Linux developers either using the web UI or cobbling together CLI workflows. GhostLinux fills this gap as a standalone Electron or Tauri app with GitHub OAuth integration. ## Monetization Strategy Free core app, $5/month Pro tier with advanced conflict resolution tools and multi-account switching ## 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 "MailMemoryPro". ## The Problem People have 20+ years of life context trapped in email archives that are functionally unsearchable by meaning, as validated by the Mail Memories Show HN receiving 97 upvotes and numerous commenters describing lost memories and inaccessible institutional knowledge. ## Target Audience Knowledge workers, researchers, and anyone with a decade-plus email history who needs to recover context from past projects or relationships ## Core Idea Turn your entire email history into a searchable personal knowledge base you can actually query. MailMemoryPro indexes your full Gmail or IMAP archive and lets you query it semantically — find every conversation about a project, every commitment you made, every photo exchanged with a person — rather than relying on keyword search of a chronological inbox. The Show HN for Mail Memories received 97 upvotes and 48 comments confirming that people have decades of life context buried in email they cannot access meaningfully. The tool runs locally or on a self-hosted instance to address the privacy concerns raised in AWS Bedrock data retention discussions. ## Monetization Strategy One-time purchase $29 for local desktop app, $8/month for hosted version with automatic re-indexing ## Requirements - Category: Productivity - Difficulty: Month - 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 "CoopBuy". ## The Problem The Show HN searchable directory of 22k+ co-op products received 386 upvotes proving supply-side demand, but the directory is purely informational with no purchasing layer, leaving motivated buyers with no way to act on their intent. ## Target Audience Ethically-motivated consumers who want to buy from worker-owned businesses but lack a convenient one-stop shopping experience ## Core Idea Actually purchase from worker-owned co-ops — the first shoppable marketplace built on the 22k+ co-op product directory. CoopBuy adds a transactional layer on top of the existing searchable co-op product directory, letting users add items from multiple worker-owned co-ops to a single cart and check out without visiting each vendor separately. The Show HN for the directory received 386 upvotes and 77 comments, with many users frustrated that the directory was purely informational with no way to buy. CoopBuy handles payment aggregation, coordinates fulfillment routing to individual co-ops, and takes a small percentage per transaction. ## Monetization Strategy 5% transaction fee on purchases, optional $5/month membership for free shipping aggregation and co-op discovery features ## 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 "FlipDeploy". ## The Problem Slack shows a 'double-check this link' warning on every internal IP address or private network URL with no way to disable it, adding constant friction for engineering teams who share monitoring dashboards dozens of times a day. ## Target Audience Engineering teams and DevOps engineers who use Slack to share internal service links and dashboards ## Core Idea A Slack-native internal link proxy that strips the 'double-check this link' warning for trusted internal IP ranges your team defines. Engineering teams share monitoring dashboards, internal service URLs, and private network links dozens of times a day in Slack, but every internal IP address triggers a friction-adding warning dialog with no way to disable it. FlipDeploy is a lightweight browser extension and Slack app that rewrites internal links through a team-approved proxy, eliminating the warning for whitelisted IP ranges and domains. Teams configure their trusted ranges once and every member immediately stops seeing the interruption. ## Monetization Strategy Free for individuals, $5/month per team for centralized whitelist management and audit logs ## Requirements - Category: Productivity - Difficulty: Weekend - 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 "PenTestUnleashed". ## The Problem SMEs cannot access AI-assisted penetration testing because mainstream models are over-censored for routine security questions and enterprise cyber models are gated behind expensive contracts, leaving smaller companies underprotected. ## Target Audience Security engineers and IT managers at SMEs and mid-market companies who need structured vulnerability assessments without enterprise security budgets ## Core Idea AI-assisted penetration testing reports for SMEs — no enterprise budget required. PenTestUnleashed provides SMEs and mid-market companies access to an AI model fine-tuned specifically for offensive security workflows, generating structured vulnerability reports, attack path analyses, and remediation checklists without the censorship that makes mainstream models useless for security work. Most AI tools refuse routine pen testing queries, and enterprise-grade cyber models are gated behind expensive contracts that small companies cannot afford. The tool is scoped to work on user-owned infrastructure with verifiable scope confirmation to stay compliant. ## Monetization Strategy $49/month for up to 5 scoped assessments/month, $149/month for unlimited assessments with compliance report export ## 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 "BuddyLog". ## The Problem Claude Code's /buddy companion was silently removed generating 2,028 upvotes of protest, while separately Claude Code sessions with valuable debugging context are siloed per-machine with no team sharing or search capability. ## Target Audience Engineering teams using Claude Code, Cursor, or Codex as primary coding agents ## Core Idea Never lose Claude Code session context again — sync, search, and share your AI agent conversations across your whole team. BuddyLog automatically captures Claude Code session transcripts and indexes them in a searchable team workspace, so the debugging context from one developer's session can be found and reused by any teammate. When Claude Code's /buddy feature was silently removed and generated 2,028 upvotes of outcry, it revealed how emotionally and practically dependent developers had become on persistent AI context. BuddyLog gives teams that institutional memory back as a durable, searchable artifact. ## Monetization Strategy Free for solo use, $15/user/month for team sync and search, $49/month flat for small teams up to 5 ## 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 "WarpShield". ## The Problem Warp terminal users are uncomfortable with forced cloud AI assistance when accessing critical local machines and servers, but Warp has no official local LLM support despite a 1,401-upvote GitHub issue. ## Target Audience Security-conscious developers and sysadmins who use Warp on production or sensitive infrastructure ## Core Idea Run Warp terminal's AI features entirely on local Ollama models — no cloud, no data leaving your machine. WarpShield is a proxy layer and configuration tool that intercepts Warp's AI requests and routes them to a locally running Ollama instance, giving terminal users the full AI-assisted workflow without any data leaving the machine. The GitHub issue for local LLM support in Warp has 1,401 upvotes and 139 comments from engineers uncomfortable using a cloud-connected terminal on critical production systems. WarpShield requires no Warp modification and works via a localhost proxy that Warp can be configured to call. ## Monetization Strategy Free open-source core, $7/month for a managed config sync service and pre-tested model profiles ## 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 "OrbitalSurface". ## The Problem Researchers and enthusiasts need to calculate planetary positions and transits as seen from arbitrary planetary surfaces using user-provided ephemeris files, a capability absent from all mainstream planetarium apps. ## Target Audience Amateur astronomers, planetary scientists, science fiction writers, and mission planning researchers ## Core Idea Calculate and visualize planetary positions and mutual transits as seen from the surface of any planet using your own ephemeris files. Researchers and space enthusiasts who want to compute what the sky looks like from Mars, Europa, or a fictional exoplanet surface cannot do so with any mainstream planetarium software — every tool assumes an Earth-based observer. OrbitalSurface accepts user-provided JPL Development Ephemeris or VSOP files, lets you specify an arbitrary planetary surface as the observation point, and renders transit windows, mutual occultations, and body positions with exportable data tables. It targets both amateur astronomers and scientists running simulations for mission planning or science fiction world-building. ## Monetization Strategy Free tier for Earth-based calculations, $8/month for arbitrary surface observer and bulk ephemeris uploads ## 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 "ScopeKit". ## 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 and maintaining Slack apps and integrations ## Core Idea Bulk-configure Slack app OAuth scopes from a YAML file instead of clicking through a dropdown thirty separate times. Developers building Slack apps must add each OAuth scope individually through a dropdown UI with no multi-select or import option, turning what should be a one-minute configuration step into a tedious thirty-click process for complex apps. ScopeKit is a CLI tool that reads a simple YAML manifest of required bot and user scopes and pushes them to your Slack app configuration via the Slack API in a single command. It also generates a shareable scope manifest so teams can version-control their Slack app permissions alongside their codebase. ## Monetization Strategy Free open-source CLI, optional $5/month for a team dashboard with scope diffing and audit history across multiple Slack apps ## 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 "ZigWatch". ## 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 as individual milestones land. ## Target Audience Zig developers with production projects who care about build performance and want to quantify the improvement from LLVM decoupling ## Core Idea Track Zig's LLVM decoupling progress and automatically measure its impact on your own project's build times. ZigWatch monitors the Zig LLVM decoupling GitHub issue and related PRs, then runs automated benchmarks against user-provided Zig projects to measure real build time and binary size improvements as each milestone lands. Developers following the 1,773-upvote issue have no automated way to know when changes actually affect their workload — they must manually read issue updates and re-benchmark themselves. ZigWatch turns this passive interest into actionable data delivered via email or webhook. ## Monetization Strategy Free for single project monitoring, $6/month for multiple projects with historical benchmark graphs and Slack/webhook alerts ## 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 "ReMarkableREPL". ## The Problem reMarkable users who code have no native coding environment and must leave the device entirely for any interactive programming, despite the tablet's ideal distraction-free form factor for exploratory work. ## Target Audience Developers and CS students who own a reMarkable tablet and want to use it for programming exploration and algorithm sketching ## Core Idea A distraction-free interactive coding environment for the reMarkable tablet that keeps you in the device instead of reaching for a laptop. The reMarkable tablet's paper-like screen and distraction-free environment makes it ideal for exploratory programming and algorithm sketching, but it has no native coding environment, forcing developers to abandon the device entirely for any interactive work. ReMarkableREPL is a native reMarkable application that provides an interactive REPL for Python and JavaScript, with handwriting-to-code recognition for naturally writing expressions, and a simple file manager for saving and loading scripts. The Edsger Clojure REPL Show HN proved the concept has an enthusiastic audience willing to engage with novel approaches to coding on the device. ## Monetization Strategy $9 one-time purchase on the reMarkable marketplace, with a $3/month cloud sync tier for saving scripts across devices ## 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 on pure UI friction with no workaround found on Web Apps Stack Exchange. ## Target Audience Developers building Slack apps or bots who need to configure large OAuth scope sets ## Core Idea Add all your Slack OAuth scopes at once instead of clicking through a dropdown thirty times. ScopeBlast is a browser extension and CLI tool that lets Slack app developers paste a list of OAuth scope names and bulk-apply them in a single operation, eliminating the painful one-by-one dropdown clicking the Slack app configuration UI forces today. The Web Apps Stack Exchange question about this has no working solution, and developers configuring apps with 20-30 scopes waste 10-15 minutes on pure UI friction every time they set up a new app or environment. The extension injects a bulk-add textarea into the Slack app settings page. ## Monetization Strategy Free browser extension, $5 one-time purchase for the CLI version with scope list export and team sharing ## 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.