PodGrowth - AI Podcast Growth Operator (Clips, Transcripts, Show Notes, Promotion Automation)

Upload raw audio, get back viral clips, SEO-optimized transcripts, Twitter/LinkedIn posts, and YouTube Shorts — all auto-published to your channels. One click replaces 8 hours of manual podcast ops work.

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Difficulty

beginner

What is it?

Podcast creators spend 8+ hours per episode editing, clipping, writing show notes, creating social posts, and uploading to multiple platforms. PodGrowth is an autonomous workflow that takes raw episode audio and outputs: (1) 3–5 branded short-form clips extracted via AI scene detection, (2) searchable transcript with chapter marks, (3) SEO-optimized show notes, (4) 10 ready-to-post social templates (Twitter, LinkedIn, TikTok captions), (5) YouTube Shorts pre-sized. It then optionally auto-publishes to connected platforms (YouTube, Twitter, LinkedIn, Anchor, Substack). This solves the #1 podcast creator complaint: 'I spend more time on distribution than recording.' The platform pays for itself by letting creators ship 2x the content in half the time. Why 100% buildable right now: Deepgram for transcription, Claude for clip segmentation and show notes, FFmpeg for clip extraction, and Meta/YouTube APIs for publishing are all stable. Proven by tools like Transistor and Riverside. No training needed.

Why now?

Podcast growth has hit 60M listeners in North America (2025), and creator burnout on ops is peaking. Deepgram now has speaker diarization, Claude's vision is stable for wave analysis, and Zapier integrations are free. No tool exists that does the full automation loop — this is a 2026 bottleneck.

▸Auto-transcription with speaker labels and timestamps
▸AI scene detection to extract 3–5 clip segments
▸Branded short-form clip generation (YouTube Shorts, TikTok, Instagram Reels)
▸SEO-optimized show notes generation
▸Social media post templates (Twitter, LinkedIn, TikTok, Threads)
▸One-click multi-platform publishing (YouTube, Twitter, LinkedIn, Anchor, Substack)

Target Audience

Independent podcast creators and small networks (10k–1M listeners). ~50,000 active podcasters in North America paying for hosting. 15% willing to automate distribution (7,500 TAM).

Example Use Case

Maya, a solo podcast host with 25k listeners, used to spend 6 hours per episode on clips and posts. Now she uploads to PodGrowth, gets clips + captions in 20 minutes, approves them with one click, and scheduled posts go live across Twitter, LinkedIn, and YouTube. She now publishes 3 episodes per week instead of 1, and grew her audience 40% in 2 months.

User Stories

▸As a solo podcast creator, I want to upload raw audio and get back 5 social media posts ready to publish, so that I can spend 30 minutes instead of 4 hours on distribution.
▸As a podcast network manager, I want to process multiple episodes at once and batch-approve all clips before publishing, so that I can maintain brand consistency across shows. As an indie podcaster, I want clips to auto-publish to YouTube, Twitter, and LinkedIn after I approve them, so that I don't have to manually paste URLs into each platform.

Acceptance Criteria

Upload: done when MP3 file uploads to S3 without errors. Transcription: done when Deepgram returns full transcript with speaker labels in under 5 minutes. Show Notes: done when Claude generates 200-word show notes with 3 key takeaways. Clips: done when 5 video clips (15–60 sec each) are extracted and playable. Approval UI: done when user can preview clips and toggle publish status. Publishing: done when approved clips send data to Zapier correctly.

Is it worth building?

$29/month (2 episodes) × 150 users = $4,350 MRR. $79/month (8 episodes) × 50 users = $3,950 MRR. $199/month (unlimited) × 20 users = $3,980 MRR. Total: $12,280 MRR at month 4.

Unit Economics

CAC: $150 (outreach + demo). LTV: $29/month × 18 months (conservative retention) = $522. Payback: 5.2 months. Gross margin: 88% (API cost < $5/month per user at tier 1).

Business Model

SaaS subscription, tiered by episodes/month

Monetization Path

Free: 1 free trial episode. Pro: $29/month for 2 episodes. Creator: $79/month for 8 episodes. Studio: $199/month unlimited.

Revenue Timeline

First dollar: week 2 (beta upgrade). $1k MRR: month 2. $5k MRR: month 4. $10k MRR: month 8.

Estimated Monthly Cost

Deepgram: $150 (150 episodes @ $1 each, bulk discount), Claude API: $80, FFmpeg (CPU on Vercel): $20, S3 storage: $15, Vercel: $20, Supabase: $25. Total: ~$310/month at launch.

Profit Potential

Full-time at $8k–$25k MRR. High gross margin (API costs < $10/episode).

Scalability

High — can add email newsletter integration, sponsor detection, guest outreach automation.

Success Metrics

Week 1: 200 signups. Week 2: 30 paid. Month 2: 120 active users. Month 4: 85%+ retention.

Launch & Validation Plan

Record 50 podcasters on Twitter asking 'what takes most time after recording.' Build landing page. Recruit 10 beta users from top podcast communities. Measure time saved per episode. Get testimonials.

Customer Acquisition Strategy

First customer: DM 30 podcast hosts on Twitter (check followers 10k–100k range) with free beta access to process their latest episode. Measure time saved, get testimonials. Then: ProductHunt, Podcast subreddits, Twitter #podcasting, indie hackers communities, sponsorship of small podcast networks.

What's the competition?

Competition Level

High

What's the roadmap?

Feature Roadmap

V1 (launch): upload, transcription, show notes, clip extraction, social templates, Zapier publishing. V2 (month 2-3): speaker diarization, AI clip ranking, guest detection, email newsletter integration. V3 (month 4+): native YouTube/Twitter publishing, video support, podcast analytics, sponsor detection.

Milestone Plan

Phase 1 (Week 1-2): Upload flow, Deepgram integration, clip extraction. Done when test episode outputs 5 clips. Phase 2 (Week 3-4): Show notes generation, social templates, approval UI, Stripe billing. Done when 5 beta users process 1 full episode each. Phase 3 (Month 2): Zapier templates, onboarding video, go-live, launch post.

How do you build it?

Tech Stack

Next.js, Deepgram API, Claude API, FFmpeg, Vercel, Supabase — build with Lovable for UI forms, Cursor for Claude + Deepgram integration.

Time to Ship

2 weeks

Required Skills

Claude API, Deepgram, FFmpeg command line, YouTube API, Stripe.

Resources

Deepgram docs, Claude prompt engineering, FFmpeg tutorials, YouTube Data API docs.

MVP Scope

1. Audio upload to S3. 2. Deepgram async transcription. 3. Claude prompt for show notes + clip timestamps. 4. FFmpeg clips extraction. 5. Next.js UI for upload + approval. 6. Social post template generation. 7. Zapier integration for auto-publishing (v1 won't manually post, user approves + Zapier publishes). 8. Stripe billing.

Core User Journey

Sign up -> upload episode MP3 -> clips + show notes ready in 10 minutes -> approve posts -> Zapier auto-publishes -> upgrade.

Architecture Pattern

S3 upload -> Deepgram webhook -> transcript stored -> Claude API analyzes -> clips extracted via FFmpeg -> Zapier action for publishing -> user approval -> post scheduled.

Data Model

User has many Podcasts. Podcast has many Episodes. Episode has one Transcript, many Clips, one ShowNotes. Clip has preview URL and publishing status.

Integration Points

Deepgram for transcription, Claude API for show notes and segmentation, FFmpeg for clip extraction, Stripe for payments, Zapier for multi-platform publishing, YouTube Data API, Twitter API v2, LinkedIn API, S3 for audio storage.

V1 Scope Boundaries

V1 excludes: video processing, native YouTube/Twitter publishing, AI clip ranking, speaker identification, ad detection, team collaboration.

Success Definition

A podcast creator finds the product via Twitter, processes one episode fully (including auto-post approval), saves 5+ hours, and upgrades to paid without any outreach.

Challenges

Getting podcast hosts to trust the AI-selected clips (require human approval). Managing Deepgram costs ($0.20/min adds up). Handling speaker diarization edge cases (two speakers with similar voices).

Avoid These Pitfalls

Do not build native multi-platform publishing on day one (use Zapier). Do not support video uploads in v1 (audio only). Do not oversell AI quality before showing users approval workflow — people fear bad clips going live.

Security Requirements

Auth: Supabase Auth + Google OAuth. RLS: episodes and clips visible only to episode owner. Rate limiting: 10 uploads/day per user (prevent abuse). Input validation: file type check (MP3, WAV, M4A only, max 500MB). GDPR: auto-delete uploaded files after processing, user data deletion on request.

Infrastructure Plan

Hosting: Vercel (frontend + API). Database: Supabase (podcast/episode metadata). Storage: S3 for audio and clips (auto-delete after 30 days). Async: Deepgram webhooks trigger clip extraction. CI/CD: GitHub Actions. Monitoring: Sentry for errors. Cost: Vercel $20, Supabase $25, S3 $15, error tracking $10 total.

Performance Targets

Expected DAU at launch: 20, req/day: 2,000. Upload processing: start within 5 seconds. Transcription: complete within 5 minutes (async). Show notes generation: under 30 seconds (Claude API). Clip extraction: under 2 minutes (FFmpeg). UI responsiveness: under 1s load time.

Go-Live Checklist

☐S3 upload tested end-to-end
☐Deepgram webhook tested
☐Claude prompt tested on 10 real episodes
☐FFmpeg clip extraction tested (audio quality verified)
☐Zapier integration tested with mock posts
☐Stripe billing tested
☐Sentry configured
☐Privacy policy written
☐Terms of Service published
☐5 beta creators signed off (all processed 1+ episodes)
☐Rollback: can disable Deepgram async without breaking uploads
☐Launch post drafted for ProductHunt, Twitter.

How to build it, step by step

1. npx create-next-app --typescript. 2. npm install @deepgram/sdk @anthropic-ai/sdk ffmpeg-static stripe. 3. Set up Supabase schema (users, podcasts, episodes, transcripts, clips). 4. Create S3 bucket for audio uploads. 5. Build upload form in Next.js. 6. Create Deepgram async transcription endpoint. 7. Build Claude prompt for show notes + clip timestamps. 8. Create FFmpeg clip extraction CLI. 9. Build clip approval UI. 10. Add Stripe billing.

Generated

March 27, 2026

Model

claude-haiku-4-5-20251001

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