ProtoPulse

Predict delays and defects in your Chinese hardware orders before they happen.

Score: 7.7/10ArgentinaMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Freelance hardware makers suffer delays and quality defects from unreliable Chinese suppliers during small batch production.

Solution

ProtoPulse tracks your supplier orders in real-time and uses aggregated maker data to predict delays and quality issues. Get alerts and alternative supplier suggestions to avoid pitfalls. Simple dashboard integrates with email confirmations for seamless monitoring.

Target Audience

Freelance hardware makers and indie prototyping entrepreneurs producing small batches (under 100 units)

Differentiator

AI-driven predictions from anonymized indie maker order data, exclusive to small batches.

Brand Voice

supportive

Features

Order Tracking

must-have18h

Input order details to track status with supplier comms integration.

Delay Predictor

must-have25h

AI forecasts lead time overruns based on supplier history and global trends.

Risk Alerts

must-have15h

Push/email notifications for potential defects or delays.

Supplier Scorecard

must-have20h

Live scores on reliability from crowd data.

Alt Supplier Suggest

must-have22h

Recommend backups if risks detected.

Historical Reports

nice-to-have12h

Downloadable insights on past orders.

Custom Alerts

nice-to-have10h

Set thresholds for notifications.

API Integration

future25h

Webhook for external tools.

Total Build Time: 147 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
subscription_tiertextYes
created_attimestampNo

Relationships:

  • one-to-many with orders, predictions

orders

ColumnTypeNullable
iduuidNo
user_iduuidNo
supplier_nametextNo
expected_etatimestampNo
batch_sizeintNo
statustextNo
actual_deliverytimestampYes

Relationships:

  • foreign key to users(id)

predictions

ColumnTypeNullable
iduuidNo
order_iduuidNo
delay_probabilityfloatNo
defect_riskfloatNo
predicted_datetimestampYes
computed_attimestampNo

Relationships:

  • foreign key to orders(id)

supplier_data

ColumnTypeNullable
iduuidNo
nametextNo
historical_delay_avgfloatYes
data_updatedtimestampNo

API Endpoints

POST
/api/orders

Create new order tracking

🔒 Auth Required
POST
/api/orders/:id/predict

Run delay/defect prediction

🔒 Auth Required
GET
/api/dashboard

Fetch user orders and alerts

🔒 Auth Required
GET
/api/suppliers/:name/score

Get supplier risk score

GET
/api/alerts

List active alerts

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui + Recharts
Backend
Next.js API + Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Vercel AI SDK (predictions)Resend

Build Timeline

Week 1: Core setup and tracking

40h
  • Auth
  • Order input UI
  • Dashboard skeleton

Week 2: Prediction engine

45h
  • Basic AI model stub
  • Supplier data import
  • Prediction API

Week 3: Alerts and scores

40h
  • Alert system
  • Scorecards
  • Email integration

Week 4: Suggestions and reports

35h
  • Alt supplier logic
  • Reports
  • Charts

Week 5: Polish

30h
  • Mobile
  • Testing
  • Onboarding

Week 6: Deploy

20h
  • Landing
  • SEO
  • Launch
Total Timeline: 6 weeks • 210 hours

Pricing Tiers

Free

$0/mo

No alerts

  • Track 3 orders
  • Basic predictions

Pro

$40/mo

Up to 20 predictions/month

  • Unlimited orders
  • Real-time alerts
  • Alt suggestions

Enterprise

$99/mo

Unlimited

  • All Pro + custom models
  • Team accounts
  • Priority predictions

Revenue Projections

MonthUsersConversionMRRARR
Month 1801.5%$48$576
Month 66004%$960$11,520

Unit Economics

$30
CAC
$400
LTV
6%
Churn
90%
Margin
LTV:CAC Ratio: 13.3xExcellent!

Landing Page Copy

Never Miss a Prototype Deadline Again

AI predicts Chinese supplier delays and defects using real maker data.

Feature Highlights

Instant risk scores
Smart alerts
Backup suppliers
Historical insights
Easy setup

Social Proof (Placeholders)

"'Predicted my delay—switched in time!' — Jordan, Prototyping Pro"
"'Game-changer for batches.' — Lee, Freelancer"

First Three Customers

Share prediction tool demo video on r/electronics and r/Entrepreneur with free access code. Target Twitter threads on 'China supplier horror stories' with DMs to authors. Join Discord servers like Maker Mafia for beta invites.

Launch Channels

Product Huntr/electronicsIndie HackersHackster.ioTwitter/X

SEO Keywords

predict chinese supplier delayshardware order tracking chinasmall batch defect predictionprototype supply chain risks

Competitive Analysis

Flexport

flexport.com
Enterprise
Strength

Logistics tracking

Weakness

Not for small makers, expensive

Our Advantage

Indie-focused AI predictions at $40/mo

JLCPCB Tracker

jlcpcb.com
Free with orders
Strength

PCB-specific

Weakness

No predictions or general hardware

Our Advantage

Broad hardware + predictive AI

🏰 Moat Strategy

Data moat from aggregated order outcomes improving prediction accuracy.

⏰ Why Now?

Increased remote prototyping + AI advancements enable accurate supply predictions amid ongoing disruptions.

Risks & Mitigation

technicalhigh severity

Prediction model inaccuracy early on

Mitigation

Seed with public data, iterate on user feedback

marketmedium severity

Users don't input enough data

Mitigation

Auto-parse emails, incentives for logging outcomes

Validation Roadmap

pre-build5 days

Survey 20 makers on order pains

Success: 70% want predictions

mvp10 days

Beta with 30 users

Success: 80% accuracy on test predictions

Pivot Options

  • General supply chain tracker
  • Focus on software supply (chips)
  • B2B enterprise only

Quick Stats

Build Time
210h
Target MRR (6 mo)
$4,000
Market Size
$400.0M
Features
8
Database Tables
4
API Endpoints
5