Tuesday, June 9, 2026

I want to build an app called "SavedSpot". ## The Problem People constantly save Instagram Reels and TikToks about restaurants, events, and pop-ups but forget about them because they get buried in saves with no reminder or location-aware surfacing. ## Target Audience Urban millennials and Gen Z who use Instagram and TikTok to discover local experiences. ## Core Idea Turn your buried Instagram Reels and TikTok saves about restaurants and events into a smart, reminder-powered to-do list. SavedSpot lets users forward saved Reels and TikToks to a simple inbox that automatically extracts the venue name, location, and event date, adds it to a personal map and calendar, and sends a nudge when you're nearby or the date approaches. It solves the universal problem of social media saves becoming a graveyard of forgotten intentions. Users can also share curated lists with friends. ## Monetization Strategy Freemium: free for up to 20 saved spots, $4.99/month for unlimited saves, smart reminders, and shareable lists. ## 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 "ToolLog". ## The Problem Developers have built many personal AI tools but there is no good centralized place to share, discover, or discuss them — the HN thread generated 696 comments of interest. ## Target Audience Developers and technical indie hackers who build and use personal AI automation tools ## Core Idea A community-curated directory of AI-powered personal tools built by developers for their own workflows. Developers are building hundreds of personal AI tools for their own workflows but have no central place to share, discover, or build on each other's work. ToolLog is a searchable directory where developers post their personal AI scripts, automations, and micro-apps with source code, use case descriptions, and build time. Visitors can upvote, fork, and discuss tools, creating a living repository of practical AI workflow patterns. ## Monetization Strategy Free to browse, $6/month for Pro members who can create private collections and get early access to featured tools; sponsored listings for dev tools companies ## Requirements - Category: Social - Difficulty: Week - Suggested stack: Next.js + Supabase Realtime + Auth Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "PitchDeck.ai". ## The Problem Early-stage founders and indie hackers building real products struggle to translate their technical work into investor-ready pitch decks, spending days on formatting and structure instead of substance. ## Target Audience Pre-seed and seed-stage founders, indie hackers raising their first round, and solo developers exploring fundraising. ## Core Idea Generate a first-draft investor pitch deck from your README, landing page, or product description in under 60 seconds. PitchDeck.ai scrapes your product's public-facing content — README, landing page, or a short brief you paste in — and produces a structured, visually clean pitch deck following standard investor formats (problem, solution, market, traction, team, ask). Each slide includes commentary explaining what investors look for and flags weak sections for the founder to strengthen. Decks export to PowerPoint, Google Slides, or PDF. ## Monetization Strategy Pay-per-use: $9 per generated deck, or $29/month for unlimited decks and revision history. ## 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 "SessionVault". ## The Problem Claude Code sessions are trapped on individual laptops with no way to share them with teammates or hand off context across the team. ## Target Audience Software development teams using Claude Code or similar AI coding assistants ## Core Idea Sync and share your Claude Code sessions across your entire team via Git. Claude Code sessions contain invaluable context and problem-solving artifacts, but they're siloed on individual laptops with no way to collaborate. SessionVault automatically commits sessions to Git branches, making them searchable, shareable, and replayable by any teammate. Teams can hand off complex debugging sessions, audit AI decision trails, and build a collective memory of how problems were solved. ## Monetization Strategy Freemium with free tier for solo devs, $15/user/month for team features like search, tagging, and replay ## 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 "TechCurator". ## The Problem Developers complain that all tech content feels like regurgitated garbage and struggle to find high-quality, original long-form technical writing outside of a handful of known sources. ## Target Audience Senior developers, engineering managers, and technical indie hackers who want to stay informed without wading through low-quality content ## Core Idea A personalized technical reading feed that surfaces original long-form content from niche experts, filtered free of AI-regurgitated noise. Developers are increasingly frustrated that tech content across every platform feels like the same recycled ideas and AI-generated summaries with nothing genuinely new or insightful. TechCurator crawls a vetted whitelist of personal engineering blogs, academic preprints, and niche technical newsletters, scores posts for originality and depth using a classifier trained on HN upvote patterns, and delivers a daily digest of genuinely novel content tailored to your declared interests. No ads, no algorithmic engagement bait — just signal. ## Monetization Strategy $8/month subscription, free tier limited to 5 articles per week ## 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 "Launchpad Guard". ## The Problem Founders are losing access to funds and having accounts closed by Stripe without warning, often for easily avoidable triggers like accepting pre-seed investment through Stripe invoices. ## Target Audience Early-stage founders and indie hackers using Stripe as their primary payment processor. ## Core Idea Monitor your Stripe account health in real time and alert you before a freeze or closure wrecks your startup. Launchpad Guard connects to Stripe and watches for risk signals — unusual transaction patterns, ToS trigger events, rapid revenue spikes, and compliance gaps — sending proactive alerts before Stripe freezes payouts or closes your account. It also guides founders through common Stripe pitfalls like accepting investor wires via invoice or triggering biometric verification requirements. A plain-English risk score gives founders early warning to diversify payment processors. ## Monetization Strategy Flat SaaS subscription: $19/month per Stripe account monitored. ## 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 "Lathe Pro". ## The Problem Developers using LLMs for coding are noticing a decline in their own skills because AI does the work instead of teaching the concepts, and existing AI tools optimize for output over learning. ## Target Audience Self-taught developers, bootcamp graduates, and experienced engineers wanting to learn new domains without outsourcing understanding to AI. ## Core Idea Generate hands-on, source-backed learning tutorials for any technical topic that teach you to understand — not just copy-paste. Lathe Pro takes a topic a developer wants to learn and produces a structured, interactive tutorial that requires the learner to type code by hand and answer conceptual checkpoints, preventing the passive 'AI does it for me' trap. Tutorials cite real documentation and papers, so learners build genuine understanding with verifiable sources. Progress is tracked over time, and learners can share completed modules as credentials. ## Monetization Strategy Freemium: 3 free tutorials per month, $12/month for unlimited tutorials plus progress tracking and shareable certificates. ## 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 "MatchDay". ## The Problem Sports fans can't find a simple, ad-free app for tournament fixtures and live scores that handles timezone conversion cleanly and lets them share a personalized schedule with friends. ## Target Audience Casual and passionate sports fans who follow international tournaments like the World Cup and want a no-friction, no-ads experience. ## Core Idea A clean, ad-free sports fixture and live score app for any tournament that generates a shareable personal schedule in one tap. MatchDay aggregates fixture data for major tournaments — World Cup, Champions League, NBA playoffs — into a minimal, timezone-aware interface with no ads, no accounts required, and no dark patterns. Users pick their teams and get a personalized schedule with calendar export and optional push notifications for kickoff and score updates. State is encoded in a shareable URL so fans can send their custom bracket view to friends instantly. ## Monetization Strategy One-time purchase: $1.99 on the App Store and Google Play; web version free and ad-free to drive organic sharing. ## Requirements - Category: Social - Difficulty: Weekend - Suggested stack: Next.js + Supabase Realtime + Auth Please help me build this step by step. Start with: 1. A project structure and initial setup 2. The core data models 3. The main feature implementation 4. A simple but polished UI Keep it lean — MVP first, ship fast. Use modern best practices and make it production-ready.

I want to build an app called "NerfRouter". ## The Problem Teams overspend on LLM API costs by routing all requests to expensive frontier models regardless of task complexity, when cheaper models could handle many of them. ## Target Audience Indie developers and engineering teams with high AI API usage ## Core Idea Automatically route AI coding tasks to the cheapest model that can handle them, saving up to 3x on LLM spend. Developers and teams burn money sending every request to frontier models when simpler tasks could be handled by cheaper alternatives. NerfRouter sits between your code editor and LLM APIs, classifying each request by complexity and routing it to the most cost-efficient model — Haiku for simple completions, Opus for architecture decisions. A real-time dashboard shows exactly where your AI budget is going and how much you've saved. ## Monetization Strategy Free up to $50/month in routed API spend, then 5% revenue share on savings generated above baseline ## 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 "Lathe Pro". ## The Problem Developers notice skill decline when using AI to skip past learning, and want a tool that uses LLMs to teach deeply rather than just produce outputs. ## Target Audience Software developers who want to upskill in new languages or domains without outsourcing their thinking to AI ## Core Idea Generate hands-on, source-backed learning curricula for any technical topic so you actually understand it instead of just copy-pasting AI output. Developers increasingly use AI to skip learning, leading to skill atrophy and brittle code they don't understand. Lathe Pro generates structured, interactive tutorials for any technical domain that require you to type code by hand, answer comprehension questions, and progress through concepts step by step. Progress is tracked, spaced repetition reminds you to review, and every lesson cites primary sources so you learn from real documentation. ## Monetization Strategy $12/month subscription with a free tier of 3 curricula per month ## 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 "StripeGuard". ## The Problem Founders get their Stripe accounts unexpectedly frozen or face forced biometric ToS updates with no warning, losing access to their revenue with no recourse. ## Target Audience Early-stage SaaS founders and indie hackers who rely on Stripe for revenue ## Core Idea Monitor your Stripe account health and alert you to policy violations or risky patterns before your account gets frozen. Founders keep losing access to their Stripe accounts due to ToS violations, biometric demands, or suspicious transaction patterns — often with zero warning and payouts already frozen. StripeGuard continuously monitors your Stripe account against known policy tripwires, flags risky behaviors like large one-off invoices or sudden volume spikes, and sends actionable alerts before Stripe acts. It also maintains a diversified payments backup checklist so you're never fully dependent on one processor. ## Monetization Strategy $9/month flat subscription, free 14-day trial ## 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 "AgentWall". ## The Problem AI agents given access to production systems for SRE tasks have no fine-grained permission controls, forcing a choice between full access and usefulness or restricted access and limited capability. ## Target Audience DevOps engineers, platform teams, and AI-assisted SRE teams deploying autonomous agents against production infrastructure ## Core Idea A permission firewall for AI coding agents that enforces least-privilege access to production systems without killing agent productivity. As AI agents are granted access to production databases, Kubernetes clusters, and cloud infrastructure to fix real issues, teams have no fine-grained way to control what the agent can read or write without manually auditing every action. AgentWall sits between your agent and your infrastructure, enforcing a declarative policy file that allows reads and blocks writes to sensitive resources, logs every action with reasoning, and raises a human approval prompt for anything outside policy. It works with Claude Code, Cursor, and any MCP-compatible agent. ## Monetization Strategy $49/month for small teams up to 5 agents, $149/month for unlimited agents and audit log export, free open-source core ## 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 "TokenSense". ## The Problem Developers using AI coding agents like Claude Code burn through expensive API budgets because every subagent call hits the most powerful (and pricey) model, even for trivial tasks. ## Target Audience Indie hackers, startup engineers, and teams using Claude Code, Codex, or similar AI coding agents at scale. ## Core Idea Automatically route AI agent calls to the cheapest model that can handle the task, cutting your LLM spend by up to 3x. TokenSense sits between your AI coding agents and LLM providers, classifying each request by complexity and routing it to the least expensive model capable of completing it. It combines intelligent model routing with token efficiency techniques to dramatically reduce costs without sacrificing quality. Developers get a dashboard showing spend breakdowns, routing decisions, and savings over time. ## Monetization Strategy Usage-based SaaS: free tier up to $50/month in routed spend, then 5% of savings generated above that. ## 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 "FocusShift". ## The Problem Remote workers struggle to stay focused without office structure, and generic time-blocking or Pomodoro apps don't adapt to individual energy patterns or protect focus time on the calendar. ## Target Audience Remote workers, indie hackers, and freelancers who work from home and struggle with self-directed focus. ## Core Idea A science-backed focus companion for remote workers that structures your day into productive blocks using your own natural energy patterns. FocusShift learns when you're naturally most focused by passively tracking your work session lengths, context-switch frequency, and self-reported energy, then builds a personalized daily schedule of deep work blocks, breaks, and shallow tasks. It integrates with your calendar to protect focus time and sends gentle nudges when you've been distracted too long. Unlike generic Pomodoro apps, it adapts to your actual rhythm rather than enforcing a one-size timer. ## Monetization Strategy Freemium: free for basic blocks and nudges, $8/month for calendar integration, energy analytics, and adaptive scheduling. ## 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 "SpecCheck". ## The Problem Poorly designed MCP servers cause AI agents to consume 5x more tokens than necessary due to bad schema design, costing developers significant API spend. ## Target Audience Developers building MCP servers and AI agent tooling who want to minimize LLM API costs. ## Core Idea Automatically audit your MCP server design for token efficiency and flag patterns that cost your AI agents 5x more than necessary. SpecCheck analyzes MCP server schemas and tool definitions, scoring them against known token-expensive anti-patterns like overly verbose descriptions, redundant parameters, and poorly batched tool calls. It outputs a prioritized report with specific rewrites that reduce token consumption, and tracks improvement over time. Developers paste their MCP spec or connect a GitHub repo for continuous linting. ## Monetization Strategy Freemium: free for public repos and single spec uploads, $9/month for private repos, CI integration, and historical 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 "SessionVault". ## 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. ## Target Audience Engineering teams of 2–20 people actively using Claude Code or similar AI coding assistants. ## Core Idea Sync, share, and search your Claude Code sessions across your entire team via Git. SessionVault automatically captures AI coding sessions and pushes them to a shared Git-backed store, making them searchable and shareable across the team. Engineers can replay a colleague's session, fork it to continue the work, or tag sessions for future reference. It solves the problem of institutional AI knowledge getting trapped on individual laptops. ## Monetization Strategy Freemium SaaS: free for solo devs, $15/user/month for teams with search, replay, and branch features. ## 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 "Nightwatch Cloud". ## The Problem On-call engineers face alert storms that are hard to triage manually, and existing monitoring tools don't automatically group alerts into incidents or provide AI-driven investigation. ## Target Audience Small to mid-size engineering teams running production infrastructure without a dedicated SRE team. ## Core Idea An AI SRE that groups alert storms into incidents and investigates your live systems so you don't have to at 3am. Nightwatch Cloud is a hosted, read-only monitoring layer that ingests alerts from PagerDuty, Datadog, or Prometheus and uses an LLM agent to correlate them into incidents, suppress noisy checks, and produce a plain-English root-cause hypothesis in seconds. Engineers jump from an incident straight into an interactive investigation agent without switching tools. It's designed to be set up in under 30 minutes with no write access required. ## Monetization Strategy SaaS tiers: free for 1 integration and up to 50 alerts/day, $49/month for unlimited integrations and AI investigation. ## 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 "AlertMesh". ## The Problem Alert storms from monitoring tools overwhelm on-call engineers with noise, making it hard to identify root causes quickly during incidents. ## Target Audience DevOps engineers and SREs at small-to-mid-size companies using PagerDuty, Datadog, or similar tools ## Core Idea Group noisy monitoring alerts into coherent incidents and automatically investigate root causes using an AI agent. On-call engineers are overwhelmed by alert storms where dozens of individual checks fire for a single underlying issue, making it hard to identify root cause under pressure. AlertMesh sits on top of existing monitoring tools, clusters related alerts into incidents using pattern matching and timing, and dispatches a read-only AI agent to investigate live systems and surface a root cause hypothesis. Engineers spend time fixing, not triaging. ## Monetization Strategy $29/month for up to 5 engineers, $79/month for teams up to 20, annual discount ## 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 "FocusShell". ## The Problem Remote developers struggle to stay focused while working from home and want lightweight accountability mechanisms without heavy-handed monitoring software. ## Target Audience Indie hackers, remote developers, and freelancers working solo from home ## Core Idea A distraction-free work session tracker for remote developers that uses ambient accountability to keep you on task. Remote workers and indie hackers struggle with focus at home and want lightweight social accountability without intrusive surveillance tools. FocusShell lets you set a work intention, starts a timed session, and shares your real-time status to an optional public or private group feed so others can see you're working. At the end of each session it asks a single reflection question and builds a weekly focus streak visible to your accountability group. ## Monetization Strategy Free for solo use, $5/month for private group accountability rooms with up to 10 members ## 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 "PDFSpar". ## The Problem Developers find it impossible to focus while reading dense technical PDFs and want a tool that enforces active engagement rather than passive skimming. ## Target Audience Software engineers, students, and researchers who need to study dense technical material ## Core Idea A local-first PDF reader that forces active engagement through inline questions and typed annotations so you actually retain what you read. Reading dense technical books and papers is increasingly hard when developers are conditioned by AI tools to get instant answers instead of building understanding. PDFSpar runs entirely on-device, overlays your PDF with AI-generated comprehension prompts as you read, and requires you to type short answers before advancing — turning passive reading into active recall. All data stays local, and a spaced repetition review queue surfaces forgotten concepts weeks later. ## Monetization Strategy One-time purchase of $19 for the desktop app, with optional $5/month cloud sync add-on ## 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.