FogList — Paste Your Task List, Get 3 Micro-Tasks You Can Actually Start
When your brain is in full fog mode, a 47-item Notion database is not a productivity system — it is a panic attack. FogList takes your chaotic task dump and your current energy level, and outputs exactly 3 micro-tasks with a trigger phrase and a do-this-first highlight. That's it. No more, no less.
Difficulty
beginner
Category
Productivity
Market Demand
High
Revenue Score
6/10
Platform
Web App
Vibe Code Friendly
⚡ YesHackathon Score
🏆 8/10
Validated by Real Pain
— sourced from real community discussions
Adults with ADHD and brain fog report that traditional task managers increase anxiety rather than reduce it because they present too many choices simultaneously, causing decision paralysis and task avoidance.
What is it?
ADHD and brain fog sufferers do not need another Kanban board — they need someone to make the decision for them. FogList is a single-screen app: type your energy state, paste your task list, and receive 3 rewritten micro-tasks with actionable trigger phrases and one highlighted first step. It uses GPT-4o to decompose overwhelming tasks into 5-minute chunks with specific environmental triggers like 'sit at kitchen table, open laptop, type one sentence.' Validated by real complaints in r/ADHD where users describe their task managers as anxiety triggers. Buildable in 72 hours: one OpenAI call, one text input, zero database required for v1.
Why now?
GPT-4o's instruction-following precision in May 2026 makes trigger-phrase generation reliable enough to feel like a human coach — earlier models hallucinated vague advice that ADHD users dismissed immediately.
- ▸Single-screen energy state input with plain-language options like foggy, anxious, or wired.
- ▸GPT-4o task decomposer that rewrites overwhelming tasks as 5-minute micro-actions with trigger phrases.
- ▸Do-this-first highlight with a single bolded task and a calming one-sentence rationale.
- ▸Daily history stored in localStorage so users can see their wins without signing up.
Target Audience
Adults with ADHD and brain fog, approximately 8 million diagnosed adults in the US who use productivity apps but report app abandonment as a core symptom.
Example Use Case
Jamie, a freelancer with ADHD, types 'I'm overwhelmed and foggy' and pastes 12 tasks, gets back 'First: open your invoice doc (just open it, do not write anything yet)' and clears two tasks before lunch for the first time in a week.
User Stories
- ▸As an adult with ADHD, I want to paste my task list and get 3 micro-tasks, so that I stop staring at my to-do list in paralysis.
- ▸As a brain fog sufferer, I want to pick my energy level before generating tasks, so that the output matches what I can actually do right now.
- ▸As a daily user, I want to see my past sessions in a history view, so that I can recognize my productivity patterns over time.
Done When
- ✓Task Decomposition: done when user pastes 5+ tasks, clicks Generate, and sees exactly 3 micro-tasks with trigger phrases in under 6 seconds.
- ✓Do-This-First Highlight: done when one micro-task card is visually distinct with a bold label and a one-sentence rationale.
- ✓Usage Gate: done when a free user who has generated 5 times today sees an upgrade prompt instead of a new result.
- ✓Stripe Upgrade: done when user completes checkout and immediately sees the usage gate removed without a page reload.
Is it worth building?
$9/month x 200 users = $1,800 MRR at month 3. Realistic: 200 paying users acquired via r/ADHD and TikTok content at 3% conversion from 6,700 free users.
Unit Economics
CAC: $3 via r/ADHD organic post (free). LTV: $108 (12 months at $9/month, 60% annual retention). Payback: immediate. Gross margin: 92%.
Business Model
Freemium with subscription
Monetization Path
Free tier: 5 uses per day. Pro at $9/month: unlimited uses plus history and daily check-in reminders.
Revenue Timeline
First dollar: week 1 via r/ADHD post. $1k MRR: month 2. $5k MRR: month 8.
Estimated Monthly Cost
OpenAI API: $30, Vercel: $20, Stripe fees: ~$15. Total: ~$65/month at launch.
Profit Potential
Side income viable at $1k–$5k MRR with a passionate niche audience.
Scalability
Medium — can expand to voice input, Notion sync, and a mobile PWA for on-the-go fog moments.
Success Metrics
Week 1: 500 free users from r/ADHD post. Month 1: 50 paid. Month 3: 150 paid with 60% retention.
Launch & Validation Plan
Post a free prototype in r/ADHD asking for 20 testers. If 100 upvotes in 24h, charge for Pro immediately.
Customer Acquisition Strategy
First customer: post a free beta link in r/ADHD with a genuine personal story about brain fog. Ongoing: TikTok videos showing the before/after task transformation, Twitter/X ADHD community, ProductHunt launch targeting productivity hunters.
What's the competition?
Competition Level
Medium
Similar Products
Todoist (overwhelms ADHD users with features), Sunsama ($20/month, requires daily planning ritual), Focusmate (accountability calls, not task decomposition). FogList fills the gap: zero-setup, single-use, decision-made-for-you task reducer.
Competitive Advantage
Zero onboarding, calming single-screen UX designed for cognitive overload, 80% cheaper than Focusmate or Sunsama.
Regulatory Risks
Not a medical device. Do not use language implying clinical treatment. Low regulatory risk — consumer productivity app only.
What's the roadmap?
Feature Roadmap
V1 (launch): energy picker, task decomposition, do-this-first highlight, Stripe gate. V2 (month 2-3): daily Telegram reminder bot, streak counter, session history. V3 (month 4+): voice input, Notion task import, mobile PWA.
Milestone Plan
Phase 1 (Week 1): core decompose flow live and deployed. Phase 2 (Week 2): Stripe gate, localStorage history, r/ADHD beta post. Phase 3 (Month 2): 100 paid users, Telegram reminder bot shipped.
How do you build it?
Tech Stack
Next.js, OpenAI GPT-4o API, Stripe, localStorage for history — build with Lovable for the full UI, Cursor for the API route.
Suggested Frameworks
OpenAI SDK, Framer Motion for calming animations, React
Time to Ship
3 days
Required Skills
OpenAI prompt engineering, Next.js, Stripe.
Resources
OpenAI docs, Stripe Checkout quickstart, r/ADHD community research.
MVP Scope
app/page.tsx (single-screen input + output), app/api/decompose/route.ts (GPT-4o call + prompt), components/EnergyPicker.tsx (fog level selector), components/MicroTaskCard.tsx (output display with highlight), components/TaskInput.tsx (textarea), lib/prompt.ts (GPT-4o prompt template), lib/history.ts (localStorage read/write), .env.example (OPENAI_API_KEY, STRIPE_KEY).
Core User Journey
Type energy state -> paste tasks -> read 3 micro-tasks -> start the highlighted one -> subscribe for unlimited.
Architecture Pattern
User inputs energy state + task list -> GPT-4o API decomposes and highlights -> output rendered client-side -> localStorage saves history -> Stripe gates unlimited daily uses.
Data Model
No server-side user data in V1. TaskSession stored in localStorage: energyState, rawTasks, microTasks array, timestamp. Subscription status stored via Stripe customer portal.
Integration Points
OpenAI GPT-4o for task decomposition, Stripe for payments, Vercel for hosting, localStorage for free-tier history.
V1 Scope Boundaries
V1 excludes: user accounts, Notion sync, mobile app, streaks, team mode, custom prompt tuning.
Success Definition
A stranger with ADHD finds FogList during a fog spiral, completes their first micro-task within 10 minutes, and subscribes without any founder contact.
Challenges
ADHD users are the highest churn demographic in SaaS — they love the product for 2 weeks then forget it exists. Retention requires a habit loop (daily reminder, streak, or Telegram bot) that must be in V2 or the product dies.
Avoid These Pitfalls
Do not add user accounts before 100 paying users — auth friction kills ADHD users instantly. Do not build 10 energy states — keep it to 3 (foggy, anxious, wired) or decision paralysis defeats the product. Finding first 10 paying customers requires a real r/ADHD community post, not ProductHunt — budget a week for community trust-building.
Security Requirements
No auth in V1. Rate limit /api/decompose at 10 req/min per IP. Input sanitized before Claude prompt injection. No PII stored server-side. GDPR: no server data to delete.
Infrastructure Plan
Vercel for Next.js, no database in V1 (localStorage only), GitHub Actions for CI, Sentry for error tracking. Total: ~$40/month.
Performance Targets
500 DAU at month 1, GPT-4o response under 4 seconds, page load under 1.5s, no caching needed at MVP scale.
Go-Live Checklist
- ☐Security audit complete.
- ☐Payment flow tested end-to-end.
- ☐Error tracking (Sentry) live.
- ☐Monitoring dashboard configured.
- ☐Custom domain set up with SSL.
- ☐Privacy policy and terms published.
- ☐20+ r/ADHD beta testers signed off.
- ☐Rollback plan documented.
- ☐r/ADHD and ProductHunt launch posts drafted.
First Run Experience
On first run: a pre-filled example shows energy state 'foggy' and a sample 8-task list already typed in. User can immediately click Generate and see 3 real micro-tasks. No manual config required: demo input is pre-loaded, OpenAI key is server-side only.
How to build it, step by step
1. Define API contract: POST /api/decompose accepts {energyState, taskList} returns {microTasks: [{task, triggerPhrase, isFirst}]}. 2. Scaffold Next.js app with npx create-next-app. 3. Install OpenAI SDK and write prompt template in lib/prompt.ts targeting ADHD micro-task decomposition. 4. Build /api/decompose route calling GPT-4o with the prompt. 5. Build single-screen UI with EnergyPicker, TaskInput, and MicroTaskCard using Lovable. 6. Add localStorage history in lib/history.ts. 7. Add usage counter gating free users at 5 per day. 8. Add Stripe Checkout link for Pro upgrade. 9. Deploy to Vercel with OPENAI_API_KEY and STRIPE_KEY. 10. Verify: select foggy, paste 10 tasks, receive 3 micro-tasks with do-this-first highlighted, hit free limit, complete Stripe checkout, confirm unlimited access.
Generated
May 8, 2026
Model
claude-sonnet-4-6
Disclaimer: Ideas on this site are AI-generated and may contain inaccuracies. Revenue estimates, market demand figures, and financial projections are illustrative assumptions only — not financial advice. Do your own research before making any business or investment decisions. Technology availability, pricing, and market conditions change rapidly; always verify details independently.