Friday, July 3, 2026

I want to build an app called "StartupWiki". ## The Problem Founders and researchers are frustrated by Crunchbase's paywalled, incomplete data on early-stage startups, with strong validated demand for a genuinely free alternative proven by 207 upvotes on a related Show HN. ## Target Audience Indie hackers, startup researchers, journalists, and investors tracking early-stage companies ## Core Idea Free, community-editable database of early-stage startups with genuine founding stories, tech stacks, and revenue milestones — no paywall, no PR spin. StartupWiki is an open, crowdsourced alternative to Crunchbase focused on the information indie hackers and researchers actually want: real tech stacks in production, honest MRR milestones, founding team backstory, and key pivots. Anyone can submit or edit entries with source citations, and the data is freely exportable via API. A lightweight verification layer flags unverified claims so readers know what is confirmed versus self-reported. ## Monetization Strategy Free core database; $19/month Pro for API access, saved search alerts, and bulk export; sponsored 'featured' listings for companies wanting visibility ## 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 "TabStash". ## The Problem People accumulate hundreds of browser tabs because closing them feels like losing information, leading to performance degradation and cognitive overload with no good archival or reminder solution. ## Target Audience Knowledge workers, researchers, and developers who habitually hoard browser tabs ## Core Idea Archive hundreds of browser tabs into a searchable, snooze-able library so you can close them guilt-free. TabStash captures open tabs with their full context (title, URL, excerpt, screenshot thumbnail) into an organized archive. Users can set location-aware or time-based reminders to resurface specific tabs, and browse their archive by topic cluster. Unlike bookmarks, it preserves the 'why I saved this' context and automatically expires stale saves. ## Monetization Strategy Free up to 200 archived tabs; $4/month Pro for unlimited archives, cross-device sync, and location reminders ## 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 "DreamCycle". ## The Problem People with PTSD nightmares and dream-curious users have no dedicated app for recording dreams and identifying trends — existing diary apps lack dream-specific pattern analysis entirely, as flagged on Software Recommendations Stack Exchange. ## Target Audience PTSD patients, therapists recommending journaling tools, and people curious about their dream patterns ## Core Idea Voice-first dream journal with pattern detection and PTSD nightmare trend analysis built in. DreamCycle lets users dictate dreams immediately on waking using a large wake-screen widget, then automatically tags emotional tone, recurring symbols, characters, and settings using on-device NLP. A weekly digest surfaces trends like nightmare frequency, emotional arcs, and symbol recurrence — features purpose-built for therapeutic use cases that generic diary apps completely lack. All data stays on-device with optional encrypted cloud backup. ## Monetization Strategy $3.99/month or $24.99/year for trend analytics, symbol library, and therapist export PDF; free tier for basic recording ## 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 "InterviewCraft". ## The Problem Engineering teams have no framework for conducting meaningful technical interviews when candidates can and should use AI agents, making traditional no-AI coding challenges obsolete and creating unfair and inaccurate assessments. ## Target Audience Engineering managers, technical recruiters, and startup CTOs hiring software engineers ## Core Idea Structured technical interview framework designed for a world where candidates should be using AI agents during assessments. InterviewCraft provides hiring teams with a library of AI-era interview formats — open-ended architecture challenges, live debugging tasks with AI allowed, and iterative design exercises — along with scoring rubrics that evaluate reasoning and communication rather than syntax recall. Teams can customize question banks, record and annotate sessions, and generate consistent candidate scorecards that are defensible to leadership. It directly replaces the now-obsolete no-AI LeetCode whiteboard format. ## Monetization Strategy $49/month per hiring team for up to 5 interviewers; $199/month for unlimited seats and ATS integrations ## 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 "EmbedMind". ## The Problem Embedded engineers cannot use generic AI coding tools because they hallucinate register addresses, generate code for peripherals that don't exist on the target chip, and confuse quirks between similar MCU variants, causing hard-to-debug hardware failures. ## Target Audience Embedded systems engineers, firmware developers, and hardware hackers working with specific microcontrollers ## Core Idea AI coding assistant fine-tuned on your specific microcontroller's datasheet, register map, and errata so it stops hallucinating peripheral addresses. EmbedMind takes a user-uploaded MCU datasheet PDF or SVD file and builds a local context layer that intercepts requests to Claude or GPT, automatically injecting the correct register addresses, peripheral names, and chip-specific quirks before the prompt is sent. When the model generates code, EmbedMind validates register references against the uploaded spec and flags mismatches inline. It supports STM32, ESP32, RP2040, and any chip with a CMSIS SVD file. ## Monetization Strategy $15/month for individual engineers; $79/month per team seat with shared datasheet library and CI lint integration ## 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 "PlugWatt". ## The Problem Homeowners and renters interested in plug-in solar panels have no easy tool to estimate how much energy they could generate at their specific address before purchasing, and must rely on generic national averages that are often wildly inaccurate for their situation. ## Target Audience Renters and apartment dwellers in Europe and increasingly the US considering plug-in balcony solar panels ## Core Idea Enter your address and get a personalized estimate of how much energy and money a balcony or window plug-in solar panel will generate for your specific home. PlugWatt pulls roof orientation, local irradiance data, and real utility rates for any address and models the output of standard plug-in solar panels (400W–800W) across every month of the year. Users see a clear payback period, monthly bill savings projection, and a comparison of popular plug-in panel models. Unlike generic solar calculators built for full rooftop installations, it is designed specifically for the growing rental-friendly plug-in solar market. ## Monetization Strategy Free basic estimate; $4.99 one-time payment for a detailed month-by-month report with panel model comparison and export; affiliate revenue from panel retailers ## 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 "FlowState". ## The Problem Developers cannot enter flow state when using AI coding agents because they require constant interruption and babysitting, negating the productivity benefit — explicitly raised in a 110-upvote HN thread asking about different ways of using LLMs for coding. ## Target Audience Software developers using AI coding agents like Claude Code, Codex, and Cursor who want to preserve deep work sessions ## Core Idea A coding companion that helps you reclaim deep work sessions when using AI agents by managing interruptions and context switches. Developers report losing flow state when using AI coding agents because tools are either too slow, require constant babysitting, or context-switch them out of deep work. FlowState sits between you and your AI agent, batching questions, summarizing agent progress, and surfacing only the decisions that genuinely need human input. It integrates with Claude Code, Codex, and Cursor to let you set focus windows where the agent works autonomously and you review in bursts. ## Monetization Strategy $12/month subscription with a free tier limited to one agent connection ## 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 "MigrationReady". ## The Problem Notion iOS users report deleted workspaces with no recovery, broken voice-to-text for months, and crashing comments, but feel trapped because migrating years of notes feels impossibly risky without a reliable continuous export tool. ## Target Audience Heavy Notion users frustrated with persistent bugs who want a safety net before committing to migration ## Core Idea Continuous one-click export and local backup for Notion so you can leave anytime without losing years of work. Notion iOS users report deleted workspaces with no recovery, broken voice-to-text for months, crashing comments, and a team that ships AI features instead of fixing basics. MigrationReady runs as a background service that continuously exports your entire Notion workspace to local Markdown and JSON, maintains a diff history so you can recover deleted pages, and provides a one-click migration wizard to Obsidian, Logseq, or plain files. It removes the lock-in anxiety that keeps frustrated users trapped. ## Monetization Strategy $6/month for continuous sync; one-time $25 migration wizard purchase ## 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 "DecompAcademy". ## 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 validated by a 196-upvote Show HN. ## Target Audience Programmers and retro gaming enthusiasts who want to contribute to game decompilation projects but have no prior C or assembly experience ## Core Idea A structured, project-based learning path for game decompilation that takes complete beginners from zero C knowledge to contributing to real decompilation projects. The Show HN for Decomp Academy received 196 upvotes with enthusiastic comments from people who had no idea where to start despite high interest in the field. The creator themselves began with zero C or assembly experience and had to figure everything out from scattered Discord servers, wikis, and individual project READMEs. DecompAcademy packages the community's knowledge into progressive modules — C fundamentals, assembly reading, toolchain setup, and hands-on decompilation exercises using real game binaries — with a community forum and mentor matching. ## Monetization Strategy $15/month subscription with a free introductory module; one-time $49 lifetime access option ## 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 "ContribPulse". ## 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 maintainers and engineering managers who care about contributor retention and long-term project health ## Core Idea A burnout early-warning dashboard for open-source maintainers that detects unhealthy contribution patterns before contributors disappear. GitHub's contribution graph actively gamifies over-commitment and open-source communities have no tooling to detect when contributors are heading toward burnout — a problem so serious it generated a 1,789-upvote GitHub issue with 202 comments. ContribPulse analyzes commit frequency, PR review load, issue response time, and after-hours activity across a repository to surface contributors showing classic burnout signals: spiking then crashing commit rates, increasingly terse responses, or long unbroken streaks without weekends off. Maintainers get a private weekly digest and can optionally send anonymous check-in nudges to at-risk contributors. ## Monetization Strategy Free for public repos with up to 5 contributors; $19/month for private repos and unlimited contributors ## 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 "VeilArt". ## 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 a Lobsters thread on LLM poisoning of artwork with 35 upvotes and 30 comments from people seeking a simpler solution. ## Target Audience Independent artists, illustrators, and photographers who publish work online and want to opt out of AI training data collection ## Core Idea A drag-and-drop web app that applies adversarial perturbations to artwork images to disrupt LLM training scrapers without visibly altering them. Artists who don't want their work used to train AI models find tools like Glaze technically complex, slow to use image-by-image, and require understanding of adversarial ML concepts that most artists don't have. VeilArt accepts a batch of image uploads, applies fast CPU-side perturbations tuned to disrupt CLIP and similar vision encoders used in training pipelines, and returns protected versions as a ZIP — all in a browser with no install and no data leaving the user's machine. The Lobsters thread on this topic had 35 upvotes and 30 comments from artists actively seeking exactly this kind of simpler solution. ## Monetization Strategy Free for up to 20 images/month; $8/month unlimited with batch processing and API access for portfolio sites ## 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 "TermAlias". ## The Problem Linux terminal users running AI coding agents lose their custom tab labels because tools like gemini-cli constantly overwrite the terminal title, making it impossible to track which tab is which when managing many sessions. ## Target Audience Linux developers running multiple AI coding agent sessions simultaneously ## Core Idea Persistent, user-defined tab nicknames for any Linux terminal that survive tool-overwritten titles. TermAlias is a lightweight daemon and terminal wrapper that lets users assign sticky custom labels to terminal tabs independently of the window title string. When AI coding tools like gemini-cli constantly rewrite the title to show progress, TermAlias displays both the user nickname and the live tool title in a split format, so context is never lost. It works with GNOME Terminal, Konsole, and any VTE-based emulator without replacing the terminal itself. ## Monetization Strategy Free and open source with a $3/month cloud sync add-on that syncs tab nickname profiles across machines ## 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 "ZigPulse". ## The Problem The Zig LLVM decoupling GitHub issue has 1,773 upvotes from developers who track progress manually with no automated way to measure the actual impact on their own projects as individual milestones land. ## Target Audience Zig developers with performance-sensitive projects who are watching the LLVM decoupling progress ## Core Idea Automated milestone tracker that measures the real-world impact of Zig's LLVM decoupling on your own project as each checkbox lands. ZigPulse connects to the Zig LLVM decoupling GitHub issue and parses its checklist. When a milestone is marked complete, it automatically runs a configurable benchmark suite against your project using both the old and new Zig compiler builds and posts a diff report to Slack or email. Developers following the 1,773-upvote issue no longer have to manually test each incremental change. ## Monetization Strategy Free tier for public repos; $8/month for private repos and Slack/webhook notifications ## 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 "ActionsKit". ## 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. ## Target Audience DevOps engineers and platform teams who use GitHub Actions for deployment and CI pipelines in monorepos ## Core Idea A GitHub Actions companion that adds native multi-choice inputs and per-job allow-failure support without brittle shell workarounds. GitHub Actions has no native multi-choice input type for manual workflows and no per-job allow-failure support in matrix builds, forcing teams into complex YAML workarounds that break status checks and create confusing CI output — a pair of issues with 1,575 and 1,321 upvotes respectively. ActionsKit provides a thin GitHub App that intercepts workflow_dispatch events and renders a rich trigger UI with multi-select inputs, then injects the selected values as workflow inputs. A companion action handles the allow-failure pattern by catching job outcomes and posting clean pass/fail summaries without failing the whole matrix. ## Monetization Strategy $10/month per organization with a free tier for public repositories ## 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 "WaypointSnap". ## The Problem Researchers and writers manually construct Wayback Machine snapshot URLs when referencing pages that may disappear, and there is no clean automated browser-integrated solution for reliably fetching the latest existing snapshot. ## Target Audience Journalists, academics, researchers, and developers who regularly cite or archive web pages ## Core Idea One-click browser extension that converts any URL into its latest Wayback Machine snapshot link for permanent citation. WaypointSnap adds a toolbar button and right-click menu option that instantly resolves the current page to its most recent Internet Archive snapshot URL using the Wayback Machine Availability API. It copies the canonical snapshot link to your clipboard, optionally submits a fresh crawl if no recent snapshot exists, and maintains a local history of all archived links you have generated. No more manually constructing `web.archive.org/web/2100/` redirect URLs. ## Monetization Strategy Free browser extension; $2/month Pro adds bulk archiving of all open tabs, automatic archival on bookmark, and a personal archive dashboard ## 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 "DiceForge". ## 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 game designers, wargame players, and hobbyists who need to analyze custom dice mechanics for balance and probability ## Core Idea A web-based calculator and visualizer for complex tabletop dice probability distributions including conditional expressions and custom formulas. Tabletop game designers and players can easily calculate simple additive dice formulas but have no accessible tool for conditional expressions like 'the minimum of 3d6 times the sum of 2d10, but reroll on a 1' — a specific gap flagged on Software Recommendations Stack Exchange with no viable solution found. DiceForge provides a custom dice formula language with support for min/max, conditionals, exploding dice, rerolls, and keep-highest/lowest, then renders the full probability distribution as an interactive histogram with mean, median, and percentile overlays. Formulas can be saved, shared as URLs, and compared side by side for game balance analysis. ## Monetization Strategy Free with a $5/month Pro tier for unlimited saved formulas, private sharing, and an embeddable widget for game publisher sites ## 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 "PasteGuard". ## The Problem Developers 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. ## Target Audience Developers, lawyers, and knowledge workers who use cloud AI tools daily and work with sensitive or proprietary information ## Core Idea A clipboard proxy that detects and redacts PII and secrets before they reach cloud AI tools. Developers and knowledge workers are accidentally pasting personal data, API keys, and confidential business information into ChatGPT, Claude, and Gemini, creating serious compliance and privacy risks that accumulate silently over time. PasteGuard intercepts clipboard content destined for browser-based AI tools, runs a fast local scan for patterns matching emails, phone numbers, API keys, SSNs, and credit card numbers, and presents a one-second confirmation dialog with detected items highlighted before allowing the paste. It works entirely locally with no cloud component, making it safe for the compliance-conscious users who need it most. ## Monetization Strategy $5/month individual; $8/user/month team plan with centralized policy management ## 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 "ScopeSync". ## 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. ## Target Audience Developers building Slack apps and integrations ## Core Idea Paste a list of Slack OAuth scopes and install them all in one click instead of one agonizing dropdown at a time. ScopeSync is a browser extension that detects the Slack app OAuth permissions page and injects a bulk-import textarea. Developers paste their full list of required scopes (e.g. copied from a README or schema file) and the extension automatically selects and adds all of them in sequence. It also exports the current scope set back to a plain text list for documentation. ## Monetization Strategy Free browser extension with a $5 one-time tip jar; upsell a $9/month SaaS dashboard that stores and syncs scope manifests across team members ## 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 "TodoSync". ## The Problem Todoist users report multi-year sync failures between iOS and desktop where completing tasks from notifications doesn't register and Siri-created tasks disappear silently, causing real productivity loss. ## Target Audience Power Todoist users who rely on Siri integration and notification-based task completion and have experienced data loss ## Core Idea A sync reliability layer for Todoist that guarantees tasks created via Siri or notifications actually appear across all your devices. Todoist users report multi-year sync failures between iOS and desktop — tasks completed from notifications stay marked incomplete on desktop, Siri-created tasks silently vanish, and the only fix is manually reopening the app. TodoSync runs as a lightweight background agent that monitors your Todoist account via the API, detects orphaned or unsynced tasks by comparing device states, and forces reconciliation with intelligent conflict resolution. It also provides an audit log of every sync event so users can finally see why their tasks are disappearing. ## Monetization Strategy $4/month subscription; free tier with 7-day sync history ## 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 "SubScan". ## The Problem Developers and sysadmins want a dig-like tool that automatically enumerates all subdomains rather than querying them one at a time — a gap explicitly raised on Software Recommendations Stack Exchange with no satisfactory solution found. ## Target Audience DevOps engineers, security researchers, and sysadmins who regularly need to audit DNS records for entire domains ## Core Idea A single command that discovers and queries DNS records for all subdomains of a domain automatically. The standard dig utility requires querying each subdomain individually with no native way to enumerate them automatically, creating tedious repetitive work for developers and sysadmins doing reconnaissance or infrastructure auditing. SubScan combines passive subdomain discovery via Certificate Transparency logs, DNS brute-forcing from a curated wordlist, and active DNS resolution into a single fast CLI tool with structured JSON or table output. It handles wildcard detection, rate limiting, and resolver rotation out of the box — the thing dig should have been for this use case. ## Monetization Strategy Open-source CLI with a $9/month hosted API for CI/CD integration and rate-limit-free lookups ## 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.