ClimatePitchCoach

AI pitch practice that fits your exam schedule.

Score: 8.0/10SLMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Student founders in climatetech struggle to balance university exams with pitching ideas to investors, stalling their startup momentum.

Solution

ClimatePitchCoach offers on-demand AI-simulated investor pitches with instant feedback, scheduling sessions only in your free study gaps. It analyzes your delivery for climatetech-specific improvements like carbon metrics emphasis. Track progress without derailing academics.

Target Audience

University students founding climatetech startups who are pitching to investors.

Differentiator

Exam-timed AI coaching with climatetech-tailored feedback from real investor personas.

Brand Voice

friendly

Features

Exam Calendar Sync

must-have10h

Import exams to block practice sessions.

AI Pitch Simulator

must-have20h

Video/audio upload for AI investor Q&A simulation.

Feedback Reports

must-have15h

Detailed scores on clarity, tech depth, impact.

Session Scheduler

must-have12h

Book AI sessions in available slots.

Progress Dashboard

must-have10h

Track improvement over sessions.

Deck Analyzer

nice-to-have8h

Upload deck for pre-pitch review.

Peer Matching

nice-to-have10h

Connect with other students for mock pitches.

Live Webinars

future25h

Group coaching sessions.

Total Build Time: 110 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo
calendar_urltextYes
created_attimestampNo

Relationships:

  • one-to-many with sessions

sessions

ColumnTypeNullable
iduuidNo
user_iduuidNo
scheduled_attimestampNo
feedback_scoreintYes
recording_urltextYes

Relationships:

  • foreign key to users(id)

feedbacks

ColumnTypeNullable
iduuidNo
session_iduuidNo
categorytextNo
scoreintNo
commentstextYes

Relationships:

  • foreign key to sessions(id)

API Endpoints

POST
/api/sessions/schedule

Schedule practice session

🔒 Auth Required
POST
/api/sessions/analyze

Upload recording for AI feedback

🔒 Auth Required
GET
/api/dashboard

Get user progress

🔒 Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui
Backend
Next.js API routes
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
AssemblyAI for transcriptionOpenAI for feedback

Build Timeline

Week 1: Auth, DB, calendar

25h
  • User setup
  • Calendar sync

Week 2: AI core

40h
  • Recording upload
  • Basic AI analysis

Week 3: Dashboard and scheduling

30h
  • Progress UI
  • Payments

Week 4: Refine and deploy

25h
  • Landing
  • Tests

Week 5: Polish AI feedback

20h
  • Advanced prompts
  • Beta launch
Total Timeline: 5 weeks • 140 hours

Pricing Tiers

Free

$0/mo

No deck analysis

  • 3 sessions/month
  • Basic feedback

Pro

$7/mo

Standard AI

  • Unlimited sessions
  • Full feedback
  • Deck analyzer

Enterprise

$29/mo

None

  • All Pro
  • Custom investor personas
  • Priority processing

Revenue Projections

MonthUsersConversionMRRARR
Month 11202%$17$204
Month 69004%$252$3,024

Unit Economics

$5
CAC
$84
LTV
6%
Churn
88%
Margin
LTV:CAC Ratio: 16.8xExcellent!

Landing Page Copy

Master Pitches Around Your Exams

AI coach simulates climatetech investors with exam-smart scheduling.

Feature Highlights

AI investor Q&A
Instant feedback reports
Calendar blocking
Progress tracking

Social Proof (Placeholders)

"Nailed my real pitch after 5 sessions! - Jordan, Berkeley"
"Feedback transformed my deck. - Mia, Oxford"

First Three Customers

Share MVP link in climatetech student Slack groups (e.g., ClimateBase), email founders from Techstars Climate demo days, free Pro for video testimonials.

Launch Channels

Product Huntr/startupsHacker NewsLinkedIn climatetech groups

SEO Keywords

climatetech pitch practice AIstudent mock investor pitchexam schedule pitch coachAI feedback for startup pitches

Competitive Analysis

PitchBob

pitchbob.io
$29/mo
Strength

Deck feedback

Weakness

No practice simulation or scheduling

Our Advantage

Live AI practice + student focus

🏰 Moat Strategy

Trained AI models on climatetech pitch data + user session improvements.

⏰ Why Now?

AI advancements enable realistic simulations amid surging student climatetech apps.

Risks & Mitigation

technicalhigh severity

AI feedback quality

Mitigation

Iterate with user ratings + fine-tuning

executionmedium severity

Recording upload issues

Mitigation

Use proven APIs

Validation Roadmap

pre-build5 days

Interview 20 students on pain points

Success: 80% want AI practice

launch30 days

Track session completion rate

Success: 60% repeat users

Pivot Options

  • General startup pitch AI
  • Tutor matching for climatetech

Quick Stats

Build Time
140h
Target MRR (6 mo)
$800
Market Size
$40.0M
Features
8
Database Tables
3
API Endpoints
3