ShiftBoard - Constraint-Aware Schedule Builder for Shift Managers Who Live in Group Texts
Most shift scheduling at small venues, restaurants, and retail stores still happens in a group text thread or a shared Google Sheet that nobody trusts. ShiftBoard is a mobile-first scheduling tool that reads your team's availability constraints, enforces labor rules, and fills the week's schedule in one click — no group texts, no spreadsheet chaos.
Difficulty
intermediate
Category
Gig Economy
Market Demand
High
Revenue Score
7/10
Platform
Web App
Vibe Code Friendly
⚡ YesHackathon Score
6/10
What is it?
Shift managers at independent restaurants, boutique retail shops, and small venues spend 3-5 hours every week manually building schedules: collecting availability by text, checking who cannot open or close, making sure nobody hits overtime, and then posting a photo of a paper schedule to the group chat. ShiftBoard lets managers input staff availability constraints and labor rules once, then auto-generates a conflict-free week schedule with one click. Staff get SMS or in-app notifications, can swap shifts via a request flow, and managers approve from mobile. It is deliberately simple — no HR modules, no payroll, just scheduling that works for a 10-20 person team. Buildable in 2 weeks using Next.js, Twilio for SMS, and a constraint solver via Google OR-Tools or a simple greedy algorithm for MVP.
Why now?
Twilio SMS costs have dropped to under $0.01/message making SMS-first UX economically viable for small teams, and the April 2026 vibe-coding wave makes building a polished constraint scheduler solo genuinely achievable in 2 weeks using Lovable and Cursor.
- ▸Staff availability constraint input: each employee sets recurring unavailable times and max hours per week via a public link (no account required for staff)
- ▸One-click schedule generation using greedy constraint solver that respects availability, max hours, and minimum staff per shift
- ▸SMS notification to all staff when schedule is published via Twilio, with one-tap shift swap request flow
- ▸Manager mobile dashboard showing the week at a glance with conflict warnings and pending swap approvals
Target Audience
Shift managers at independent restaurants, retail shops, and venues managing 8-25 part-time staff — estimated 600k such businesses in the US.
Example Use Case
Leo manages a 18-person team at an independent pizza restaurant, uses ShiftBoard to auto-fill the weekly schedule in 4 minutes instead of 3 hours, eliminates the Sunday group text chaos, and has not had a no-show from scheduling confusion in 6 weeks.
User Stories
- ▸As a shift manager, I want to generate a conflict-free weekly schedule in one click, so that I stop spending Sunday afternoons manually shuffling shifts in a spreadsheet.
- ▸As a part-time staff member, I want to submit my availability via a link without creating an account, so that I do not need to download another app just to tell my manager I cannot work Tuesdays.
- ▸As a restaurant owner, I want to approve shift swaps from my phone, so that I can handle last-minute changes without being physically present.
Done When
- ✓Availability collection: done when manager sends availability link to a staff member via SMS, staff fills in constraints without logging in, and constraints appear in the manager dashboard within 10 seconds.
- ✓Schedule generation: done when manager clicks Generate and sees a populated weekly schedule respecting all submitted availability constraints with zero conflicts flagged.
- ✓SMS publish: done when manager clicks Publish and each staff member receives an SMS listing their assigned shifts within 60 seconds.
- ✓Swap approval: done when a staff member requests a swap via their SMS link, the manager sees the request in the dashboard, approves it, and both affected staff receive confirmation SMS.
Is it worth building?
$49/month x 80 locations = $3,920 MRR at month 3. Math assumes cold outreach to 800 independent restaurant owners on Instagram and Yelp at 2% conversion plus word-of-mouth.
Unit Economics
CAC: $25 via in-person and local Facebook group outreach. LTV: $588 (12 months at $49/month). Payback: under 1 month. Gross margin: 83%.
Business Model
SaaS subscription per location
Monetization Path
Free trial: 14 days full access. Pro: $49/month per location. Annual: $470/year (20% off).
Revenue Timeline
First dollar: week 2 via in-person restaurant trial conversion. $1k MRR: month 2. $5k MRR: month 5.
Estimated Monthly Cost
Twilio SMS: $30 (1,000 messages at $0.0079), Supabase: $25, Vercel: $20, Stripe fees: ~$20. Total: ~$95/month at launch.
Profit Potential
Sustainable indie business at $5k–$10k MRR targeting local business owner segment with high retention.
Scalability
Medium — add multi-location support, payroll export to Gusto, and manager handoff notes for team expansion.
Success Metrics
Week 2: 10 beta locations. Month 1: 20 paid locations. Month 3: 75 paid, 88% retention.
Launch & Validation Plan
DM 30 independent restaurant owners on Instagram offering a free month. Post in r/restaurantowners. Interview 10 shift managers about their current Sunday scheduling pain before writing code.
Customer Acquisition Strategy
First customer: walk into 10 local independent restaurants on a Tuesday afternoon, ask to speak to the manager, and offer a free 30-day trial with personal onboarding — in-person sales converts at 20%+ for this audience. Ongoing: restaurant owner Facebook groups, Yelp business owner communities, r/restaurantowners, local small business associations.
What's the competition?
Competition Level
High
Similar Products
When I Work (too feature-heavy and expensive for 10-person teams), Homebase (free tier is good but pushes toward payroll upsells that overwhelm small owners), 7shifts (restaurant-focused but complex setup) — ShiftBoard wins on zero-friction staff onboarding via no-account availability links.
Competitive Advantage
Radically simpler than When I Work and Homebase — staff availability via a no-login link removes the biggest onboarding friction that kills adoption at small independent shops.
Regulatory Risks
Low regulatory risk. No payroll processing in v1 eliminates wage and hour compliance risk. Labor law rules (overtime, minor work permits) are informational only — manager is responsible for compliance, not the tool.
What's the roadmap?
Feature Roadmap
V1 (launch): availability collection, one-click schedule generation, SMS notifications, swap requests. V2 (month 2-3): recurring schedule templates, shift reminders, manager notes per shift. V3 (month 4+): multi-location dashboard, Gusto payroll export, iOS PWA.
Milestone Plan
Phase 1 (Week 1-2): availability form, scheduler algorithm, and SMS notification flow working end-to-end. Phase 2 (Week 3-4): swap request flow, Stripe trial billing, full mobile-responsive UI live. Phase 3 (Month 2): 20 paying restaurant locations generating real weekly schedules.
How do you build it?
Tech Stack
Next.js, Supabase, Twilio SMS API, Stripe, Vercel — build with Lovable for UI, Cursor for schedule algorithm and API routes
Suggested Frameworks
-
Time to Ship
2 weeks
Required Skills
Next.js, Supabase, Twilio SMS, greedy constraint scheduling algorithm, Stripe billing.
Resources
Twilio SMS docs, Supabase quickstart, Next.js API routes, Stripe billing docs.
MVP Scope
app/page.tsx (landing + hero), app/dashboard/page.tsx (manager schedule view), app/availability/[token]/page.tsx (staff availability form, no login), app/api/schedule/generate/route.ts (constraint solver), app/api/schedule/publish/route.ts (Twilio SMS blast), app/api/swap/route.ts (shift swap request handler), app/api/stripe/route.ts (billing), lib/db/schema.ts (Drizzle schema), lib/scheduler.ts (greedy constraint algorithm), .env.example
Core User Journey
Create location -> add staff and send availability links -> staff submit availability -> click generate schedule -> publish and SMS staff -> approve swap requests -> renew after trial.
Architecture Pattern
Manager creates schedule -> availability links sent via Twilio to staff -> staff submit constraints via no-login form -> Supabase stores constraints -> generate button triggers greedy solver -> schedule stored in Supabase -> Twilio SMS blast to all staff -> swap requests flow back to manager dashboard for approval.
Data Model
Location has many Employees. Employee has many AvailabilityConstraints. Location has many Schedules. Schedule has many Shifts. Shift belongs to one Employee.
Integration Points
Twilio for SMS notifications and swap request links, Supabase for all data storage and auth, Stripe for billing and trial management, Vercel for hosting.
V1 Scope Boundaries
V1 excludes: payroll integration, time clock, multi-location dashboards, iOS and Android native apps, labor law compliance engine, team chat.
Success Definition
A restaurant manager the founder has never met finds ShiftBoard via a local business Facebook group, onboards their team, publishes their first schedule, and pays after the 14-day trial without any founder help.
Challenges
The hardest non-technical problem is distribution — this market is crowded with When I Work and Homebase, and winning requires hyper-local word-of-mouth or direct sales to restaurant owner communities, not ProductHunt traffic.
Avoid These Pitfalls
Do not build payroll or time-clock features in v1 — scope creep into HR kills the simple positioning that wins against When I Work. Do not require staff to create accounts — the no-login availability link is the core UX differentiator, killing it kills conversion. Finding the first 10 paying locations requires in-person or local Facebook group outreach — ProductHunt will not reach independent restaurant managers.
Security Requirements
Supabase Auth with email/password for managers, RLS on all location and employee tables, token-gated public availability routes with 7-day expiry, rate limiting 60 req/min per IP, no PII beyond first name and phone number stored.
Infrastructure Plan
Vercel for Next.js, Supabase for Postgres and auth, Twilio for SMS, no file storage needed, GitHub Actions for CI/CD, Sentry for errors — total infra ~$95/month.
Performance Targets
200 DAU at launch, schedule generation under 3 seconds for 25-person team, SMS delivery under 60 seconds, page load under 2s on mobile.
Go-Live Checklist
- ☐Security audit and RLS verified.
- ☐Stripe trial and billing flow tested end-to-end.
- ☐Sentry error tracking live.
- ☐Twilio SMS delivery tested with real phone numbers.
- ☐Custom domain with SSL set up.
- ☐Privacy policy and terms published.
- ☐10 beta restaurant managers onboarded.
- ☐Rollback plan for Twilio outage documented.
- ☐Local restaurant Facebook group and r/restaurantowners launch posts drafted.
First Run Experience
On first run: demo location pre-loaded with 8 sample staff members, their availability constraints already filled in, and a generated sample weekly schedule visible on the dashboard. Manager can immediately click Publish to see what an SMS notification looks like (sent to their own number as a test). No manual config required: demo data and test SMS work without adding real staff.
How to build it, step by step
1. Define schema in lib/db/schema.ts: Location, Employee, AvailabilityConstraint, Schedule, Shift, SwapRequest. 2. Run npx create-next-app with TypeScript and Tailwind. 3. Install drizzle-orm, supabase-js, twilio, stripe. 4. Build staff availability form at app/availability/[token]/page.tsx — no auth, token-gated public route. 5. Build lib/scheduler.ts greedy algorithm: for each shift slot, pick available employee with fewest assigned hours. 6. Build schedule generation API route calling lib/scheduler.ts and storing result in Supabase. 7. Build Twilio SMS blast in app/api/schedule/publish/route.ts sending each employee their shift details. 8. Build swap request flow: employee replies to SMS link, manager sees request in dashboard, approves with one tap. 9. Add Stripe 14-day trial and Pro billing gate on schedule generation. 10. Deploy to Vercel and walk full journey: add 5 staff, collect availability, generate schedule, publish via SMS, approve a swap, hit paywall.
Generated
April 26, 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.