SideQuest

I want to build an app called "HNSignal". ## The Problem An 813-upvote HN Ask thread requested the ability to flag AI-generated articles, with 361 comments debating how it should work — yet no extension or tool exists to do this today. ## Target Audience Hacker News readers who are frustrated by AI-generated content flooding their feed ## Core Idea Flag AI-generated articles on Hacker News with a community-driven browser extension so you can skip the slop. A browser extension that lets HN readers flag articles as AI-generated, aggregates those signals, and overlays a subtle indicator on story listings without affecting rank. Users who prefer human-written content can filter their feed accordingly. The community signal data is exposed via a simple API for researchers and power users. ## Monetization Strategy Free core extension with a $5/month pro tier offering advanced filters, personal slop scores per domain, and RSS feed exports ## 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 "KioskCharge". ## The Problem A Software Recommendations request explicitly asked for a dig-like tool that automatically enumerates all subdomains rather than requiring each to be queried one at a time, with no satisfactory solution found. ## Target Audience Sysadmins, security researchers, and backend developers who need full subdomain visibility for their domains ## Core Idea Auto-detect and enumerate all subdomains for any domain with a single command, outputting structured DNS records like dig but exhaustively. SubEnum is a CLI tool and web UI that combines multiple subdomain discovery strategies — certificate transparency logs, DNS brute force, and passive sources — into a single dig-like interface. Results are returned as structured JSON or plain text, with optional continuous monitoring that alerts when new subdomains appear. Unlike dig, it requires no per-subdomain manual invocation and handles wildcard DNS gracefully. ## Monetization Strategy Free CLI open-source; $9/month hosted UI with continuous monitoring, alerts, and history tracking ## 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 "MindModelKit". ## The Problem A 32-upvote Lobsters thread on mental model techniques found that existing documentation enumerates surface behavior but fails to transfer the reasoning behind it, with no purpose-built tool for conveying and growing mental models of technical systems. ## Target Audience Engineering teams onboarding new members, staff engineers, and architects who need to transfer deep system knowledge ## Core Idea A structured workspace for building, annotating, and sharing mental models of technical systems beyond what static docs can convey. MindModelKit lets engineers create layered diagrams that capture not just what a system does but why it works that way, linking decisions to context and trade-offs. Unlike wikis or documentation tools, it surfaces the reasoning chain behind architecture choices, making onboarding and knowledge transfer dramatically faster. Teams can collaboratively grow a living mental model that stays tethered to the actual codebase via GitHub or GitLab integration. ## Monetization Strategy Free solo tier; $12/user/month for team features including shared workspaces, GitHub linking, and version history ## 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 "JXLCam". ## The Problem A Software Recommendations post explicitly asked for an Android camera app that saves photos as JPEG XL, noting that no mainstream camera app supports it despite the format being royalty-free and open-source. ## Target Audience Android power users, photographers, and storage-conscious users who want better compression without cloud storage fees ## Core Idea A camera app for Android that saves photos natively as JPEG XL for dramatically smaller file sizes without quality loss. JXLCam replaces the default Android camera for users who want to shoot directly to JPEG XL format, taking advantage of its superior compression, HDR support, and royalty-free open-source status. The app includes a batch converter for existing JPEG and PNG libraries and shows real-time estimated file size savings. Photos remain shareable to any app via standard Android media intents with automatic JPEG fallback when needed. ## Monetization Strategy Free with a $2.99 one-time unlock for RAW+JXL simultaneous capture and the batch converter ## Requirements - Category: E-commerce - Difficulty: Week - Suggested stack: Next.js + Shopify API or 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 "GmailSyntax". ## The Problem Multiple Web Apps Stack Exchange questions describe Gmail silently routing messages to Trash due to conflicting filter rules and users unable to write syntactically correct body-matching filter strings, with no diagnostic tool available. ## Target Audience Gmail power users, developers, and anyone who has lost important email to incorrect filter routing ## Core Idea A visual Gmail filter builder that generates correct search-string syntax and diagnoses why messages land in Trash instead of Spam. GmailSyntax provides a form-based UI where users describe what they want to match — sender, subject keywords, body phrases, label conditions — and it generates a syntactically correct Gmail search string with live preview. A diagnostic mode connects via OAuth, scans recent mislabeled messages, and traces which filter rule caused the misbehavior, including the common conflict where messages go to Trash instead of Spam. Users can export working filter XML directly importable into Gmail settings. ## Monetization Strategy Free for up to 5 filter rules; $4/month pro for unlimited filters, diagnostic scanning, and filter 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 "AlacriLig". ## 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 maintain custom patches or switch terminals entirely. ## Target Audience Developers who use Alacritty as their primary terminal and want programming ligatures without maintaining custom builds ## Core Idea A pre-patched Alacritty build with ligature support, delivered as a maintained binary so you never have to compile custom patches again. AlacriLig ships monthly pre-built Alacritty binaries for Linux, macOS, and Windows with ligature support already patched in, tested against popular ligature fonts like FiraCode and Cascadia Code. A companion GUI configurator lets users enable or disable specific ligature classes without editing config files. For teams, a Homebrew tap and apt repository make deployment trivially scriptable. ## Monetization Strategy Free open-source binaries; $3/month for a team repository mirror, auto-update service, and priority patch testing on new Alacritty releases ## 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 "FeedCadence". ## The Problem A Software Recommendations request for an Android RSS reader with per-feed sync intervals found no existing app that supports this combination of per-feed scheduling and OPML import/export. ## Target Audience RSS power users, developers, and researchers who subscribe to many feeds with very different update frequencies ## Core Idea The RSS reader that lets you set a unique sync interval for every single feed, from every hour to every week. A lightweight Android RSS reader where each feed or category has its own configurable refresh interval, so high-frequency news sites and slow-moving blogs don't compete for the same polling budget. Supports full OPML import/export with feed titles preserved, and works entirely on-device without a cloud sync dependency. Built for power users who carefully curate their information diet. ## Monetization Strategy Free with a $2.99 one-time unlock for unlimited feeds and OPML export; optional $1/month sync backup ## 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 "BatteryKeepr". ## The Problem A Software Recommendations post described a Galaxy Tab S3 battery swelling after a year of being permanently plugged in for kiosk use, with no simple app to automate charge limiting via a smart plug. ## Target Audience Android tablet owners using devices as permanent kiosks, dashboards, or bedside screens ## Core Idea Protect your always-plugged Android tablet's battery by automating smart charge limiting via a Wi-Fi smart plug. An Android app that monitors battery level on permanently-plugged kiosk or secondary devices and automatically toggles a Tasmota or similar Wi-Fi smart plug to cut power before swelling occurs. Users set a target charge band (e.g. 20-80%) and the app handles the rest with no root required. Designed specifically for Galaxy Tab and other Android tablets used as permanent displays or kiosk devices. ## Monetization Strategy One-time $3.99 purchase on Google Play; pro version at $9.99 adds multi-device management and scheduling ## Requirements - Category: Health - Difficulty: Weekend - 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 "APIVersionGuard". ## The Problem A Lobsters thread on versioning public web APIs surfaced recurring structural mistakes developers make like mixing route versioning with semantic versioning or shipping breaking changes silently, with no linting tool to catch these patterns automatically. ## Target Audience Backend developers and API platform teams who maintain public or internal APIs and want to avoid versioning mistakes ## Core Idea Lint your API routes and changelogs to catch versioning anti-patterns before they become breaking production changes. APIVersionGuard is a CLI and CI plugin that analyzes REST API route definitions, OpenAPI specs, and git history to flag common versioning mistakes: mixing URL versioning with semantic versioning, shipping breaking changes without a version bump, and inconsistent versioning strategies across endpoints. It generates a versioning health report with specific fixes and can block CI pipelines on detected breaking changes. An optional hosted dashboard tracks version drift over time across multiple APIs. ## Monetization Strategy Free CLI for open-source projects; $15/month for CI integration, the hosted dashboard, and team collaboration on versioning policy ## 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.