CropBatch

Reliably import massive crop datasets without crashes using smart batching.

Score: 7.8/10UKMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

University students experience crashes in crop yield prediction software during data imports, halting their thesis work.

Solution

CropBatch splits large files into manageable chunks for error-free imports into yield prediction software. Monitor progress in real-time, pause/resume on errors, and get notified on completion. No more halted theses from import failures.

Target Audience

University students in agronomy, agriculture, or related fields conducting thesis research with crop yield prediction software

Differentiator

Resume-from-failure batching with crop-specific progress visualizations like yield maps.

Brand Voice

supportive

Features

Chunked Upload

must-have14h

Split large files into batches for safe import.

Real-time Progress

must-have12h

Live dashboard showing import status per chunk.

Error Recovery

must-have15h

Auto-retry failed chunks or manual resume.

Software Presets

must-have10h

Optimized batch sizes for DSSAT, AquaCrop etc.

Import Logs

must-have10h

Detailed logs for debugging thesis data.

Queue Management

must-have12h

Schedule multiple imports in queue.

Notifications

nice-to-have7h

Push/email on completion or errors.

Data Preview

nice-to-have8h

Preview chunks before import.

Multi-file Queue

nice-to-have9h

Batch multiple datasets.

Total Build Time: 97 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
created_attimestampNo

imports

ColumnTypeNullable
iduuidNo
user_iduuidNo
filenametextNo
statustextNo
chunks_totalintNo
created_attimestampNo

Relationships:

  • user_id references users(id)

chunks

ColumnTypeNullable
iduuidNo
import_iduuidNo
chunk_numintNo
statustextNo
error_msgtextYes

Relationships:

  • import_id references imports(id)

logs

ColumnTypeNullable
iduuidNo
chunk_iduuidNo
messagetextNo
timestamptimestampNo

Relationships:

  • chunk_id references chunks(id)

API Endpoints

POST
/api/imports

Start new batch import

🔒 Auth Required
GET
/api/imports/:id

Get import progress

🔒 Auth Required
POST
/api/imports/:id/chunks/:num/retry

Retry specific chunk

🔒 Auth Required
GET
/api/users/imports

List user imports

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui + Recharts
Backend
Supabase Edge Functions
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Supabase RealtimeBullMQ for queues

Build Timeline

Week 1: Auth and upload

25h
  • Signup
  • File chunking UI
  • Basic queue

Week 2: Progress tracking

28h
  • Realtime dashboard
  • Chunk status DB
  • Presets

Week 3: Error handling

25h
  • Retry logic
  • Logs
  • Notifications

Week 4: Payments & UI

20h
  • Stripe
  • Limits
  • Landing

Week 5: Polish

18h
  • Previews
  • Multi-queue
  • Tests

Week 6: Deploy

10h
  • SEO
  • Analytics
Total Timeline: 6 weeks • 156 hours

Pricing Tiers

Free

$0/mo

No resume, 1 queue

  • 3 imports/mo <1GB
  • Basic presets

Pro

$8/mo

1 concurrent queue

  • Unlimited <10GB
  • Resume, realtime
  • All presets

Enterprise

$29/mo

None

  • Unlimited size
  • Multi-queue
  • API, teams

Revenue Projections

MonthUsersConversionMRRARR
Month 11002%$16$192
Month 68006%$384$4,608

Unit Economics

$5
CAC
$192
LTV
3%
Churn
95%
Margin
LTV:CAC Ratio: 38.4xExcellent!

Landing Page Copy

Batch Import Crop Data Without Crashing Your Software

Smart chunking + resume for large thesis datasets in DSSAT & more.

Feature Highlights

Real-time progress
Error auto-resume
Unlimited Pro batches
Logs for thesis

Social Proof (Placeholders)

"'Handled my 50k row nightmare.' – Jordan, Agri Student"
"'Saved hours retrying.' – Mia, MSc"

First Three Customers

Email agriculture profs from top unis with student listserv access for beta invites. Post case study in CropSci subreddit targeting thesis pains. Offer free Pro to first 50 signups from Twitter #PrecisionAg.

Launch Channels

Product Huntr/cropsciencer/SaaSHacker NewsLinkedIn Agri groups

SEO Keywords

large dataset import crop yieldbatch import DSSAT crashresume failed agri data importAquaCrop large file handlingthesis batch crop data

Competitive Analysis

Enterprise $
Strength

ETL power

Weakness

Not student-friendly, no realtime

Our Advantage

Simple batch resume for $8/mo

Free/$$
Strength

Workflows

Weakness

Desktop only, complex setup

Our Advantage

Cloud realtime for yield software

🏰 Moat Strategy

User import logs build error patterns for smarter batching algorithms.

⏰ Why Now?

Growing dataset sizes from drones/satellites overwhelming student tools.

Risks & Mitigation

technicalmedium severity

Realtime scaling issues

Mitigation

Supabase realtime limits + pagination

marketlow severity

Students prefer manual fixes

Mitigation

Demo videos showing 10x time save

Validation Roadmap

pre-build5 days

Interview 15 students on large file pains

Success: 10+ confirm interest

mvp10 days

10 beta imports

Success: 90% success rate

Pivot Options

  • General batch importer
  • Crop data storage
  • Yield viz tool

Quick Stats

Build Time
156h
Target MRR (6 mo)
$1,000
Market Size
$5.0M
Features
9
Database Tables
4
API Endpoints
4