Wednesday, July 1, 2026

I want to build an app called "ArtShield". ## The Problem Artists don't want their work used to train LLMs but find current poisoning tools technically complex and slow to apply image-by-image — raised directly in the Lobsters thread on LLM poisoning of artwork with 35 upvotes and 30 comments from people actively seeking a simpler solution. ## Target Audience Independent artists, illustrators, and photographers who publish work online and want to opt out of AI training ## Core Idea Automatically protect an artist's entire portfolio from LLM training data scraping with one-click image processing. ArtShield is a web app where artists upload their portfolio images and receive processed versions with embedded adversarial perturbations that degrade LLM and diffusion model training quality — without visible changes to the artwork. Unlike existing tools such as Glaze that require applying effects image by image with a slow desktop app, ArtShield processes entire folders in the cloud in minutes and integrates directly with portfolio hosting via a CMS plugin. Artists can then publish only the protected versions knowing their style is harder to extract. ## Monetization Strategy Free for up to 20 images/month; $8/month for unlimited processing and portfolio site integration ## Requirements - Category: AI/ML - Difficulty: Month - 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 "SlopscanCI". ## The Problem AI-generated code passes syntax checks but introduces structural anti-patterns with no automated detection in CI — the repo-slopscore Lobsters thread generated 65 comments from frustrated teams, while a separate Stack Overflow post shows clean human code being falsely flagged at 90-99% AI-generated. ## Target Audience Engineering teams using AI coding agents and needing code quality gates in CI pipelines ## Core Idea Automatically detect structural AI code anti-patterns in your pull requests before they merge. SlopscanCI is a GitHub Action and CLI tool that analyzes PRs for telltale AI-generated code smells — empty catch blocks, dead code, inconsistent abstraction levels, over-commented obvious lines, and suspiciously uniform naming — without flagging clean human-written code as AI. Unlike AI detectors that produce embarrassing false positives on well-organized code, SlopscanCI focuses on structural quality signals that matter to reviewers. Teams get a quality gate that catches slop without punishing good developers. ## Monetization Strategy Free for public repos, $15/month per private repo seat via GitHub Marketplace ## 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 "ContextMesh". ## The Problem Codex, Amp, Cursor, and others are standardizing around AGENTS.md but CLAUDE.md feels too specific to Claude Code, forcing developers to maintain multiple diverging context files — validated by 5,580 upvotes on the GitHub issue. ## Target Audience Developers using multiple AI coding agents on the same codebase ## Core Idea One canonical codebase context file that automatically syncs to CLAUDE.md, AGENTS.md, and every other AI agent format. ContextMesh watches a single source-of-truth CONTEXT.md file in your repo and auto-generates the correct agent-specific file (CLAUDE.md, AGENTS.md, Copilot instructions, etc.) on every save. When your codebase context changes, you update one file and all agents stay current without manual copying. A CLI hook integrates with git pre-commit to keep all derived files in sync. ## Monetization Strategy Free open-source CLI; $8/month hosted dashboard for team context sharing and version history ## 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 "MultiLLM Compare". ## The Problem Users want to send the same prompt to ChatGPT, Claude, Copilot, and Gemini simultaneously using their existing web accounts (not API) and compare replies side by side — explicitly requested on Software Recommendations Stack Exchange with no solution found. ## Target Audience AI power users, prompt engineers, and researchers who want to compare model outputs without API costs ## Core Idea Send one prompt simultaneously to ChatGPT, Claude, Gemini, and Grok using your existing web accounts and compare responses side by side. MultiLLM Compare is a desktop app that injects your prompt into multiple AI chatbot web interfaces in parallel using browser automation, so you can compare responses without API keys or per-token costs. It works with your existing logged-in sessions for ChatGPT, Claude, Gemini, Copilot, and Grok, respecting your plan tiers and account history. Users can highlight differences, save comparison sessions, and export results — ideal for prompt engineers and researchers evaluating model quality on real tasks. ## Monetization Strategy One-time purchase $19.99; $6/month for sync across devices and saved prompt libraries ## 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 "LidLock". ## The Problem Engineers are physically propping their MacBook lids half-open in cafés and parks because closing the lid suspends AI agents mid-task, validated by a wave of posts and a 124-upvote Show HN about this exact problem. ## Target Audience macOS developers using AI coding agents like Claude Code, Cursor, and Codex ## Core Idea Keep your MacBook awake with the lid closed only while AI agents are actively running tasks. LidLock is a lightweight macOS menu bar app that monitors AI agent activity (Claude Code, Codex, Cursor) and automatically prevents sleep when agents are working, then allows normal sleep behavior when they finish. Unlike blanket solutions like Amphetamine, it ties wakefulness directly to agent process state so your battery isn't drained unnecessarily. Engineers can close their MacBook lid in cafés and parks without babysitting their machines. ## Monetization Strategy One-time purchase $9.99 on the Mac App Store ## 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 "SpectrumCast". ## The Problem Sports fans and smaller leagues have no affordable, visually delightful way to display live game state online, and the HN flip-board display aesthetic proved strong viral pull with 114 upvotes and positive comments about wanting it for real events. ## Target Audience Amateur sports league organizers, school athletic departments, and local club managers ## Core Idea Give any amateur sports league or local club a beautiful live scoreboard page with zero broadcasting infrastructure. SpectrumCast lets league organizers update game scores, player stats, and inning-by-inning details from their phone, and fans see a polished live scoreboard page with smooth flip-board animations in real time. Setup takes under five minutes with no video streaming, no encoders, and no technical knowledge required — just share the link. Organizers can customize team colors, logos, and display layouts, making even a recreational softball league look as professional as a major broadcast. ## Monetization Strategy Free for one active league; $9/month per league for custom domains, branding, and season history ## 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 "CoopCart". ## The Problem The Show HN searchable directory of 22k+ co-op products proves the supply exists but there is no way to actually buy from it in one place — it is purely informational with no purchasing layer. ## Target Audience Ethically-minded consumers and people who want to support the cooperative economy without hunting across dozens of individual co-op websites. ## Core Idea A shoppable marketplace for products made by worker-owned cooperatives, with ethical sourcing transparency built in. CoopCart aggregates the 22,000+ products from worker-owned co-ops into a single shoppable storefront with filtering by category, region, and certification. Buyers get one-click purchasing with consolidated shipping, while co-ops get a zero-friction storefront without needing to build their own e-commerce infrastructure. Revenue comes from a small transaction fee per sale. ## Monetization Strategy 2-4% transaction fee on each sale, with optional featured placement subscriptions for co-ops. ## 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 "DecompAcademy". ## The Problem The Show HN for Decomp Academy and the broader community reveal that newcomers have zero structured path into game decompilation despite high interest — the creator themselves had no prior C or assembly experience and had to figure everything out from scratch. ## Target Audience Game enthusiasts, retro computing fans, and CS students who want to learn reverse engineering through a subject they love. ## Core Idea A structured, interactive learning platform for game decompilation with guided projects, a community, and curated resources in one place. 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. DecompAcademy provides a curriculum from beginner to advanced with hands-on exercises decompiling real game binaries, integrated tooling, and a mentorship-matching system. The Show HN for Decomp Academy received 195 upvotes and 78 comments confirming strong existing demand from self-taught newcomers with no prior C or assembly experience. ## Monetization Strategy Free foundational curriculum; $12/month for advanced projects, mentor matching, and certificate tracks. ## 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 "GHMultiID". ## The Problem Developers working with both personal and work GitHub accounts must manually switch credentials every time they change repositories — the GitHub Desktop issue requesting this has 1,349 upvotes with no official resolution. ## Target Audience Software developers who maintain separate personal and professional GitHub accounts on the same machine. ## Core Idea Automatically switches your Git identity, SSH key, and signing configuration based on which repository you are working in. Developers with separate personal and work GitHub accounts must manually update their git config, SSH agent, and GPG signing key every time they switch repositories — a daily source of commits landing on the wrong account and embarrassing authorship errors. GHMultiID reads a simple per-directory or per-remote mapping file and transparently applies the correct credentials without any manual steps. The GitHub Desktop issue requesting this feature has 1,349 upvotes with no official resolution after years. ## Monetization Strategy Free open-source CLI with a $5/month GUI app for macOS and Windows that adds a visual account switcher and audit log. ## 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 "ActionsForge". ## The Problem GitHub Actions matrix jobs have no native allow-failure support per individual job and no multi-choice input type, forcing teams into brittle workarounds validated by 1,575 and 1,321 upvotes across two GitHub issues, while the YAML format itself offers no type safety or local testability. ## Target Audience Platform engineers and DevOps teams maintaining complex GitHub Actions pipelines with matrix deployments. ## Core Idea A TypeScript SDK and local test runner for GitHub Actions that eliminates shell-in-YAML anti-patterns and adds native allow-failure per matrix job. GitHub Actions' YAML-based workflow format forces developers into brittle shell-in-YAML constructs with no type safety, no autocomplete beyond basic schema hints, and no way to run unit tests locally without pushing a commit. ActionsForge lets you write workflows as typed TypeScript functions, compiles them to valid Actions YAML, and provides a local runner so you can iterate without burning CI minutes. The lack of per-job allow-failure in matrix builds has 1,575 upvotes and the missing multi-choice input type has 1,321 upvotes — both are first-class features in ActionsForge. ## Monetization Strategy Open-source core SDK; $20/month team plan for a hosted YAML-to-TypeScript migration assistant, private package registry integration, and workflow analytics. ## 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 "SoundShadow". ## The Problem Language learners have no easy way to convert authentic native audio into structured vocabulary practice and shadowing exercises — the Show HN post on this concept received 91 upvotes and 37 comments confirming demand for an automated solution. ## Target Audience Independent language learners studying Japanese, Spanish, French, Mandarin, or any language with available authentic video content. ## Core Idea Paste a YouTube or podcast URL and get a structured deck of vocabulary flashcards, phonetic transcriptions, and shadowing audio clips from the native speech. Language learners know that authentic native audio is the gold standard for acquiring natural speech patterns, but converting a real video into structured practice material requires manually transcribing, segmenting, and exporting clips — hours of work per episode. SoundShadow takes a URL, extracts the audio, aligns the transcript, and generates a Anki-compatible deck with slow-speed shadow clips, vocabulary definitions, and example sentences all sourced from the original content. The Show HN on this concept received 91 upvotes and 37 comments confirming strong demand from language learners who are already doing this process manually. ## Monetization Strategy Free for 3 decks per month; $8/month unlimited with custom difficulty filtering, spaced-repetition sync, and multi-language support. ## 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 "StripeWarden". ## The Problem Founders get their Stripe accounts unexpectedly frozen with no warning, losing access to revenue with no recourse and no prior signal that anything was wrong — a recurring and financially devastating frustration validated across multiple HN discussions. ## Target Audience Bootstrapped founders and indie hackers running subscription SaaS products who depend on Stripe as their sole payment processor. ## Core Idea Monitors your Stripe account health in real time and alerts you to risk signals — chargeback velocity, policy flag patterns, and ToS changes — before a freeze happens. Founders routinely discover their Stripe accounts have been frozen only when a customer payment fails, with no prior warning and no clear path to appeal — losing days or weeks of revenue with no recourse. StripeWarden connects to your Stripe account via read-only API keys, tracks chargeback rates, dispute patterns, refund velocity, and unusual activity against known freeze trigger thresholds learned from community reports, and sends proactive Slack or email alerts when your account enters a risk zone. A secondary feature monitors Stripe's ToS changelog and flags any policy changes that could affect your business model. ## Monetization Strategy $19/month per Stripe account monitored; volume discount for agencies managing multiple client accounts. ## Requirements - Category: Fintech - Difficulty: Week - Suggested stack: Next.js + Plaid API + 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 "BurnIndex". ## The Problem Open-source contribution graphs gamify over-commitment and maintainers have no tool to detect when contributors are heading toward burnout before they disappear — validated by 1,789 upvotes and 202 comments on the isaacs/github issue. ## Target Audience Open-source project maintainers and engineering team leads managing distributed contributors ## Core Idea Detect open-source contributor burnout signals before a maintainer disappears by analyzing commit and review patterns. BurnIndex connects to GitHub and tracks behavioral signals associated with burnout — declining commit frequency, shortening PR review comments, longer response times, and late-night work spikes — then surfaces gentle alerts to maintainers and their teams before the contributor goes dark. Unlike contribution graphs that gamify overwork, BurnIndex frames data as a wellbeing signal rather than a productivity metric. Project leads get a private dashboard showing team health trends, not individual surveillance. ## Monetization Strategy Free for public repos up to 5 contributors; $12/month per organization for private repos and team dashboards ## 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 "NotionRelay". ## The Problem Notion iOS users report deleted workspaces with no recovery, voice-to-text broken for months, and crashing comments, but feel trapped because migrating years of notes feels impossibly risky without a reliable continuous export tool — validated across multiple App Store reviews. ## Target Audience Heavy Notion users who have years of accumulated notes and fear data loss from platform instability ## Core Idea Continuously export your entire Notion workspace to local Markdown so you always have a safe escape hatch. NotionRelay runs as a background service that watches your Notion workspace via API and incrementally exports every page to structured local Markdown files on a schedule you control. When Notion deletes your workspace, breaks voice-to-text for months, or crashes comments on iOS, your data is already safe locally and ready to import into Obsidian, Logseq, or any file-based system. A one-click migration wizard maps Notion's database structure to standard front matter so nothing is lost in translation. ## Monetization Strategy $4/month subscription; one-time $29 lifetime license for individuals ## 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 "DartMeta Playground". ## The Problem The Dart static metaprogramming GitHub issue has 1,708 comments and 600 participants who want to experiment with macros but there is no approachable playground or recipe library — only a spec and an unstable compiler flag. ## Target Audience Flutter and Dart developers who want to reduce boilerplate using macros but find the current experimentation barrier too high. ## Core Idea An interactive browser-based playground for experimenting with Dart static metaprogramming macros, with a recipe library and side-by-side expanded code output. The Dart static metaprogramming GitHub issue has 1,708 comments and 600 participants who are eager to use the feature, but the only way to experiment with it is to enable an unstable compiler flag in a local project — there is no approachable sandbox, no example gallery, and no way to see what a macro expands to without setting up an entire local environment. DartMeta Playground runs in the browser, lets you write a macro and target code side by side, and instantly shows the fully expanded output with syntax highlighting. A curated recipe library of common patterns like JSON serialization, copyWith generation, and builder patterns gives newcomers an on-ramp without reading a spec document. ## Monetization Strategy Free public playground; $9/month pro tier for private recipe sharing, team workspaces, and CI integration that validates macro output on each commit. ## 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 "TerraID". ## The Problem Terraform does not allow variables in backend configuration blocks and has no inverse targeting mechanism, forcing teams into brittle workarounds — validated by a 1,301-upvote issue open since v0.9.0 and a 2,088-upvote inverse targeting issue. ## Target Audience DevOps engineers and platform teams managing multi-environment Terraform deployments across AWS, GCP, or Azure. ## Core Idea A Terraform wrapper CLI that injects dynamic backend configuration, per-workspace variable overrides, and inverse targeting from a single readable config file. Terraform refuses to allow variables in backend configuration blocks and has no native way to exclude specific resources from a destroy operation, forcing teams into fragile shell wrapper scripts, hardcoded per-environment tfbackend files, and manual -target flags. TerraID reads a simple TOML sidecar file that maps workspace names to backend values and exclusion lists, then generates the correct init and apply commands transparently. The backend variables issue has 1,301 upvotes open since v0.9.0 and the inverse targeting issue has 2,088 upvotes — both are solved in a single tool. ## Monetization Strategy Open-source CLI; $15/month SaaS dashboard that adds drift detection, cost estimation, and team audit logs on top of the core wrapper. ## 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 "FossPath". ## The Problem Early CS students and career-changers with no formal employment history have no centralized resource for finding FOSS internships and mentored contribution opportunities — highlighted in a 51-upvote Lobsters thread with active discussion. ## Target Audience First and second year CS students, self-taught developers, and career-changers seeking entry points into open source ## Core Idea Find structured open-source internships and mentored contribution programs matched to your skill level and CS year. FossPath aggregates FOSS internship programs (GSoC, Outreachy, LFX, season-of-KDE, and dozens more), mentored contribution opportunities, and beginner-tagged issues — then lets early university students filter by language, time commitment, stipend availability, and required experience level. A guided profile wizard maps what you know to what programs are realistic for you right now. Weekly digest emails surface new openings before application windows close. ## Monetization Strategy Free for students; $199/year for organizations to post mentored opportunities and reach the candidate pool ## 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 "DicePlot". ## The Problem Tabletop gamers and game designers cannot calculate or visualize probability distributions for complex custom dice formulas involving conditional expressions — explicitly flagged on Software Recommendations Stack Exchange with no viable tool found. ## Target Audience Tabletop RPG players, board game designers, and game balance testers ## Core Idea Calculate and visualize full probability distributions for any complex tabletop dice formula. DicePlot is a web app where tabletop gamers and game designers type any dice formula — including conditionals, minimums, maximums, and chained rolls — and instantly see the full probability distribution as an interactive chart. It handles expressions like 'minimum of 3d6 times (sum of 2d10 minus 3) capped at 20' that no existing tool can process beyond simple additive rolls. Designers can compare multiple formulas side by side to tune game balance. ## Monetization Strategy Free tier with basic formulas; $5/month Pro for saved formula libraries, PDF exports, and formula sharing links ## Requirements - Category: E-commerce - Difficulty: Weekend - 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 "MoodOne". ## The Problem Users want a music app with a single-tap play button and vibe customization by activity and mood rather than having to select a specific playlist — a gap explicitly identified in a Software Recommendations request citing Yandex Music's unique features unavailable elsewhere. ## Target Audience Music listeners who find playlist management tedious and want an ambient, zero-friction listening experience during work, exercise, or relaxation. ## Core Idea A music app with a single play button that learns your vibe from activity, mood, and time of day — no playlist selection ever required. Most music streaming apps require users to navigate to a specific playlist or album before any sound plays, adding unnecessary friction when you just want music to match your current mood and activity. MoodOne presents a single large play button on launch, asks for your current activity and energy level via two quick taps, and immediately starts a continuously generated radio station tuned to that vibe. The Software Recommendations request for this feature explicitly cited Yandex Music's unique approach as something no other mainstream platform offers. ## Monetization Strategy $4.99/month subscription for unlimited vibe sessions; free tier limited to 2 hours per day with shuffle-only playback. ## 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 "SnapWayback". ## The Problem Users manually construct Wayback Machine snapshot URLs when referencing pages that may disappear, and the Web Apps Stack Exchange question about reliably fetching the latest existing snapshot has no clean automated solution. ## Target Audience Researchers, academics, journalists, and technical writers who regularly cite web sources. ## Core Idea A browser extension that auto-archives the current page to the Wayback Machine and copies the canonical snapshot URL in one click. Researchers, journalists, and writers constantly need to create archival references for pages that might disappear, but constructing the correct Wayback Machine URL format manually is tedious and error-prone. SnapWayback adds a toolbar button that submits the current URL for archiving, waits for confirmation, and copies the stable snapshot link to the clipboard — all in under three seconds. A paid tier adds bulk archiving for citation lists and integration with reference managers like Zotero. ## Monetization Strategy Free tier for single-page archiving; $5/month pro tier for bulk archiving, citation list import, and Zotero/Notion integration. ## 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.