BuildSim

Simulate dependencies to predict and prevent project delays

Score: 8.1/10ZMMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Enterprise construction teams can't effectively schedule complex projects with subcontractors because current apps lack dependency mapping.

Solution

BuildSim models task dependencies with Monte Carlo simulations, forecasting delay risks from subs and weather inputs. Managers run what-if scenarios to optimize buffers. Get probabilistic timelines shared with stakeholders.

Target Audience

Scheduling teams and project managers in enterprise construction firms handling complex projects with subcontractors

Differentiator

Risk simulation via deps outshines deterministic schedulers for enterprise forecasting

Brand Voice

professional

Features

Scenario Builder

must-have18h

Create base + what-if schedules

Dependency Input

must-have15h

Define tasks, deps, risks

Monte Carlo Sim

must-have25h

Run 1000s sims for prob timelines

Risk Dashboard

must-have20h

P90/P50 dates, bottleneck viz

Sub Risk Factors

must-have12h

Input sub reliability scores

Weather Integration

nice-to-have12h

Pull local weather delays

Scenario Sharing

nice-to-have8h

Export sim reports

Historical Learning

nice-to-have10h

Improve sims from past projects

Total Build Time: 120 hours

Database Schema

projects

ColumnTypeNullable
iduuidNo
nametextNo
owner_iduuidNo

Relationships:

  • owner_id -> auth.users(id)

scenarios

ColumnTypeNullable
iduuidNo
project_iduuidNo
nametextNo

Relationships:

  • project_id -> projects(id)

tasks

ColumnTypeNullable
iduuidNo
scenario_iduuidNo
nametextNo
base_durationintNo
risk_sdintYes

Relationships:

  • scenario_id -> scenarios(id)

dependencies

ColumnTypeNullable
iduuidNo
task_iduuidNo
depends_iduuidNo

Relationships:

  • task_id -> tasks(id)
  • depends_id -> tasks(id)

API Endpoints

POST
/api/scenarios

Create scenario

🔒 Auth Required
POST
/api/tasks/:scenarioId

Add tasks

🔒 Auth Required
POST
/api/simulate/:scenarioId

Run Monte Carlo

🔒 Auth Required
GET
/api/risks/:scenarioId

Get sim results

🔒 Auth Required
GET
/api/export/:scenarioId

Report export

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui + D3.js
Backend
Next.js API + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Chance.js for simsPuppeteer for PDFs

Build Timeline

Week 1: Setup & scenarios

25h
  • Projects CRUD

Week 2: Tasks/deps

30h
  • Input forms

Week 3: Sim engine

45h
  • Monte Carlo impl

Week 4: Dashboard

35h
  • Risk viz

Week 5: Exports/sharing

25h
  • Reports

Week 6: Polish/payments

20h
  • Launch ready
Total Timeline: 6 weeks • 210 hours

Pricing Tiers

Free

$0/mo

1 scenario

  • 3 sims/mo
  • Basic risks

Pro

$40/mo

10 scenarios

  • Unlimited sims
  • Advanced viz

Enterprise

$199/mo

None

  • All + historical, API

Revenue Projections

MonthUsersConversionMRRARR
Month 11202%$96$1,152
Month 69006%$2,160$25,920

Unit Economics

$130
CAC
$2592
LTV
3.5%
Churn
89%
Margin
LTV:CAC Ratio: 19.9xExcellent!

Landing Page Copy

Simulate to Dominate Delays

Dependency sims predict P90 timelines before they hit.

Feature Highlights

Monte Carlo magic
What-if playground
Risk hotspots
Stakeholder reports
Sub reliability baked-in

Social Proof (Placeholders)

"'90% accuracy on forecasts' - Exec PM"
"'What-ifs saved our Q4' - Scheduler"

First Three Customers

Share sim demo video on Construction Executive forum. Offer custom sim reports free for testimonials from top 400 contractors. Network at CFMA conferences virtually.

Launch Channels

Product HuntHacker Newsr/projectmanagementConstruction LinkedIn

SEO Keywords

construction delay simulationproject risk forecasting softwaremonte carlo construction schedulingdependency risk analysis

Competitive Analysis

Oracle Primavera

oracle.com/primavera
Enterprise $1000s
Strength

Advanced sims

Weakness

Steep learning, costly

Our Advantage

SaaS simple at indie price

Microsoft Project

microsoft.com/project
$10/user/mo
Strength

Gantt standard

Weakness

No probabilistic sim

Our Advantage

Risk-first sims

🏰 Moat Strategy

Historical sim data trains better risk models exclusively

⏰ Why Now?

Rising material/labor volatility demands predictive tools over reactive.

Risks & Mitigation

technicalmedium severity

Sim compute heavy

Mitigation

Edge functions + limits

marketmedium severity

PMs don't grok sims

Mitigation

Guided onboarding

Validation Roadmap

pre-build7 days

Validate sim interest w/ poll

Success: 50% PMs WOY sim tool

mvp42 days

Test sim accuracy w/ betas

Success: >80% match historical

Pivot Options

  • Any project sim tool
  • Supply chain risk
  • Software dev estimator

Quick Stats

Build Time
210h
Target MRR (6 mo)
$2,800
Market Size
$7000.0M
Features
8
Database Tables
4
API Endpoints
5