EcoAmplify.com

AI that turns environmental science into persuasive stories

Score: 7.7/10MexicoHard BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Mexican environmentalists feel betrayed by President Sheinbaum's swift reversal on her campaign promise to ban fracking, reigniting protests and a growing opposition movement.

Solution

EcoAmplify helps scientists, activists, and progressive voters create compelling, fact-based content about fracking impacts. The AI generates press releases, social threads, letters to editors, and video scripts while citing real Mexican environmental studies. Track how messages spread and coordinate consistent narratives across the growing opposition movement.

Target Audience

Mexican environmental scientists, anti-fracking activists, and progressive voters who supported Sheinbaum based on her environmental platform

Differentiator

Fact-grounded AI trained specifically on Mexican environmental science papers, SEMARNAT reports, and Sheinbaum's own campaign statements — with community fact-checking layer to maintain credibility.

Brand Voice

friendly and empowering

Features

Fact-Based Content Generator

must-have45h

AI creates social posts, press releases, and letters grounded in peer-reviewed Mexican studies

Story Bank

must-have30h

Repository of victim stories, scientific findings, and Sheinbaum quotes with search

Media Pitch Builder

must-have35h

Creates personalized pitches to Mexican journalists with supporting evidence

Message Consistency Tracker

must-have28h

Ensures all movement participants use aligned framing and facts

Spread Analytics

must-have40h

Tracks how content performs across Twitter, Facebook, TikTok and traditional media

Community Fact Checker

must-have38h

Scientists review and validate AI-generated content before wide distribution

Video Script Generator

nice-to-have32h

Creates short video scripts optimized for TikTok and Instagram Reels

Movement Briefing Docs

nice-to-have25h

Weekly AI-generated briefings summarizing new developments and recommended framing

Translation Engine

nice-to-have22h

High-quality translation of content between Spanish, English, and indigenous languages

Total Build Time: 295 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
nametextYes
expertisetextYes
created_attimestampNo

Relationships:

  • has many contents
  • has many reviews

contents

ColumnTypeNullable
iduuidNo
user_iduuidNo
typetextNo
prompttextNo
generated_texttextNo
statustextNo
created_attimestampNo

Relationships:

  • belongs to user
  • has many reviews

fact_sources

ColumnTypeNullable
iduuidNo
titletextNo
source_typetextNo
urltextYes
approvedboolNo

Relationships:

  • used by many contents

reviews

ColumnTypeNullable
iduuidNo
content_iduuidNo
reviewer_iduuidNo
statustextNo
commentstextYes

Relationships:

  • belongs to content
  • belongs to reviewer

API Endpoints

POST
/api/generate

Generate new content using AI with fact grounding

🔒 Auth Required
GET
/api/contents

List user's generated content and performance

🔒 Auth Required
POST
/api/review

Submit scientist review of content

🔒 Auth Required
GET
/api/briefing

Get weekly movement briefing

🔒 Auth Required

Tech Stack

Frontend
Django + HTMX + Tailwind
Backend
Django
Database
PostgreSQL
Auth
Django Allauth
Payments
Mercado Pago
Hosting
Railway
Additional Tools
OpenAI GPT-4oCelery + RedisLangChainSentry

Build Timeline

Week 1: Django foundation and data layer

35h
  • Project setup with Allauth
  • Fact source database
  • Content models

Week 2: AI generation pipeline

45h
  • LangChain grounding system
  • Prompt library for environmental content
  • Basic generation UI

Week 3: Review and validation workflow

38h
  • Scientist review system
  • Approval gates
  • Version history

Week 4: Analytics and tracking

42h
  • Content performance dashboard
  • Social listening integration
  • Media pickup tracker

Week 5: Story bank and briefing engine

35h
  • Searchable story repository
  • Weekly briefing generator

Week 6: Payments, polish and SEO

30h
  • Subscription system
  • Landing page
  • Onboarding sequence

Week 7: Nice-to-have features

40h
  • Video script generator
  • Translation module

Week 8: Testing with real activists

32h
  • Beta with 40 users
  • Feedback incorporation
  • Performance optimization

Week 9: Launch readiness

25h
  • Documentation and video tutorials
  • Press kit for environmental journalists

Week 10: Official launch

20h
  • Public launch campaign
  • Initial content seeding
Total Timeline: 10 weeks • 342 hours

Pricing Tiers

Citizen

$0/mo

Watermarked output

  • 5 generations/month
  • Basic templates

Activist

$35/mo

None

  • Unlimited generations
  • Full story bank
  • Media pitch tools
  • Performance analytics

Scientist

$79/mo

None

  • All Activist features
  • Priority fact-checking queue
  • Custom model fine-tuning access
  • Export raw data

Revenue Projections

MonthUsersConversionMRRARR
Month 17106%$1,491$17,892
Month 66,20011%$11,935$143,220

Unit Economics

$31
CAC
$395
LTV
5%
Churn
76%
Margin
LTV:CAC Ratio: 12.7xExcellent!

Landing Page Copy

Your words. Backed by science. Amplified.

AI content tools trained on Mexican environmental data to help you fight fracking with credible, persuasive stories.

Feature Highlights

Fact-grounded AI writing
Scientist-reviewed output
Media pitching tools
Movement-wide message alignment

Social Proof (Placeholders)

"'I went from staring at a blank page to publishing a viral thread in 25 minutes.' — Activist in Chihuahua"
"'The citations are perfect. This is a game changer for scientists who hate writing press releases.' — Dr. Rafael Mendez"

First Three Customers

1. Recruit 12 environmental scientists from Mexican universities as beta fact-checkers with free Scientist accounts. 2. Partner with influential climate communicators on YouTube and TikTok who focus on Sheinbaum's policies. 3. Offer free Activist tier to the first 80 members of major anti-fracking Facebook groups.

Launch Channels

ProductHuntr/SaaSLatin American climate TwitterEnvironmental journalism Slack groupsYouTube climate creator community

SEO Keywords

ai para activistas ambientalesgenerador de contenido anti frackingherramienta para escribir comunicados ambientalesmensajes contra fracking sheinbaumia para campañas ambientales mexico

Competitive Analysis

Jasper

jasper.ai
Expensive subscriptions
Strength

Powerful general AI writing

Weakness

No domain expertise in Mexican environmental issues or fact grounding

Our Advantage

Specialized knowledge base and scientist review layer

Canva Magic Studio

canva.com
Included in Canva
Strength

Easy visual content

Weakness

No deep factual grounding or movement coordination features

Our Advantage

Built specifically for environmental advocacy with citation transparency

🏰 Moat Strategy

Proprietary dataset of Mexican environmental studies and political statements that improves with every reviewed generation. Strong network effects as more scientists participate in the fact-checking network.

⏰ Why Now?

Explosion of AI tools combined with the sudden mobilization around Sheinbaum's fracking reversal creates the perfect moment for a specialized advocacy AI product.

Risks & Mitigation

legalhigh severity

AI hallucinations could damage movement credibility

Mitigation

Mandatory scientist review step before publishing + clear citations

technicalmedium severity

API costs for OpenAI become unsustainable

Mitigation

Caching, prompt optimization, and tiered limits

marketmedium severity

Activists distrust AI

Mitigation

Heavy emphasis on human review and transparent sourcing

Validation Roadmap

pre-build12 days

Test AI outputs with 15 scientists and activists

Success: 80% rate outputs as factually accurate and useful

mvp35 days

Closed beta with review workflow

Success: 40 active users and 8 paid conversions

growth45 days

Measure content virality of generated posts

Success: Average generated post reaches 3x more people than typical activist content

Pivot Options

  • General environmental advocacy AI for all LatAm issues
  • White label for large NGOs
  • Add audio generation for radio spots and podcasts

Quick Stats

Build Time
342h
Target MRR (6 mo)
$14,200
Market Size
$17.2M
Features
9
Database Tables
4
API Endpoints
4