HarvestPredict

Scenario-based AI yield forecasting for risk-proof ag decisions.

Score: 7.8/10BrazilMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Enterprise agriculture teams lack AI-driven predictive analytics for yield forecasting that generalizes across diverse crop types and regions without requiring constant retraining.

Solution

HarvestPredict leverages simulation agents to run thousands of yield scenarios across crops/regions using generalized AI, without retraining. Enterprise teams simulate weather extremes, practice changes, or market shifts for robust planning. Outputs probabilistic forecasts with confidence intervals for better decisions.

Target Audience

Teams in enterprise agriculture responsible for yield forecasting across multiple crop types and regions

Differentiator

Agentic simulations provide 'what-if' foresight beyond static predictions, generalizing via RL-trained agents.

Brand Voice

professional

Features

Scenario Builder

must-have22h

Create custom yield simulations.

Probabilistic Forecasts

must-have15h

Get yield ranges with confidence bands.

Risk Heatmap

must-have14h

Visualize scenario risks across farms.

Batch Simulator

must-have18h

Run forecasts for multiple crops/regions at once.

Decision Tracker

must-have12h

Log scenarios vs actuals for learning.

Monte Carlo Viz

nice-to-have10h

Interactive distributions of outcomes.

Integration Hooks

nice-to-have8h

Zapier/webhook for external triggers.

AI Insights Chat

nice-to-have12h

Query simulations via natural language.

Total Build Time: 111 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
organization_iduuidNo

Relationships:

  • foreign key to organizations(id)

organizations

ColumnTypeNullable
iduuidNo
nametextNo
tiertextNo

Relationships:

  • one-to-many with users

scenarios

ColumnTypeNullable
iduuidNo
organization_iduuidNo
crop_typetextNo
regiontextNo
mean_yieldfloatNo
confidence_lowfloatNo
confidence_highfloatNo
variablesjsonbNo
created_attimestampNo

Relationships:

  • foreign key to organizations(id)

tracks

ColumnTypeNullable
iduuidNo
scenario_iduuidNo
actual_yieldfloatYes
outcome_notestextYes

Relationships:

  • foreign key to scenarios(id)

API Endpoints

POST
/api/scenarios/simulate

Run scenario batch

🔒 Auth Required
GET
/api/scenarios/:id

Get scenario results

🔒 Auth Required
GET
/api/scenarios

List user scenarios

🔒 Auth Required
POST
/api/tracks/:id

Update with actuals

🔒 Auth Required
POST
/api/subscribe

Handle tier change

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui + D3.js for heatmaps
Backend
Next.js API + Supabase Edge
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
Vercel AI SDK for agentsMonteCarlo sim libs

Build Timeline

Week 1: Setup and basic sim

40h
  • DB/auth
  • Simple scenario form

Week 2: AI agent integration

35h
  • Simulation endpoint
  • Probabilistic output

Week 3: Dashboard visuals

30h
  • Heatmap
  • Batch UI

Week 4: Tracking and team

30h
  • Decision tracker
  • Org sharing

Week 5: Polish nice-to-haves

25h
  • Monte Carlo viz
  • Hooks

Week 6: Testing and landing

20h
  • Full flows
  • SEO deploy
Total Timeline: 6 weeks • 170 hours

Pricing Tiers

Free

$0/mo

1 scenario type

  • 10 sims/mo
  • Basic probs

Pro

$40/mo

Team of 5

  • 200 sims/mo
  • Full scenarios
  • Heatmaps
  • Tracking

Enterprise

$200/mo
  • Unlimited
  • Custom agents
  • AI chat
  • Unlimited teams

Revenue Projections

MonthUsersConversionMRRARR
Month 1356%$84$1,008
Month 622010%$880$10,560

Unit Economics

$35
CAC
$1320
LTV
4.5%
Churn
86%
Margin
LTV:CAC Ratio: 37.7xExcellent!

Landing Page Copy

Simulate Yields, Conquer Risks

Agentic AI runs unlimited scenarios for any crop/region—no retraining needed.

Feature Highlights

What-if scenario builder
Risk heatmaps
Probabilistic forecasts
Decision tracking
Batch multi-farm runs

Social Proof (Placeholders)

"'Scenarios saved our season' - Risk Mgr"
"'Best for volatile markets' - Enterprise Planner"

First Three Customers

Email ag risk managers at large firms (e.g., ADM, Cargill) with scenario demo tailored to recent droughts. Use Twitter polls on #ClimateRisk in ag for leads, convert top responders to betas.

Launch Channels

Product Huntr/futureofagIndie HackersTwitter #AgriAIGrowthHackers

SEO Keywords

agriculture yield scenario simulationcrop risk forecasting AIprobabilistic yield predictionfarm what-if analysisenterprise ag simulation tool

Competitive Analysis

Per acre
Strength

Scouting imagery

Weakness

Static, not agentic sims

Our Advantage

Full scenario agents, generalized

Subscription
Strength

Planning db

Weakness

No AI sims, crop-limited

Our Advantage

Probabilistic agents for any region

🏰 Moat Strategy

User-tracked outcomes refine agent RL models via data moat.

⏰ Why Now?

RL agents + climate extremes demand scenario planning; AI sim tech now accessible.

Risks & Mitigation

technicalhigh severity

Sim compute intensive

Mitigation

Async queuing + GPU APIs

marketmedium severity

Over-reliance on sims

Mitigation

Accuracy disclaimers + hybrids

executionlow severity

Viz complexity

Mitigation

Iterate with users

legalmedium severity

Forecast liability

Mitigation

TOS waivers

Validation Roadmap

pre-build7 days

Demo scenarios to 12 leads

Success: 4 WOY emails

mvp14 days

5-user beta sim usage

Success: Avg 20 sims/user

launch7 days

PH + Twitter

Success: 150 signups

growth30 days

Content on risks

Success: 25% MoM

Pivot Options

  • Static forecast only
  • Crop insurance API
  • Weather agent service

Quick Stats

Build Time
170h
Target MRR (6 mo)
$5,000
Market Size
$500.0M
Features
8
Database Tables
4
API Endpoints
5