PodcastGuestResearcher - Auto-Brief Package for Podcast Hosts
Podcast hosts spend 4 hours researching each guest before an interview. PodcastGuestResearcher does it in 2 minutes: auto-generates guest bios, talking points, previous podcast clips, and a prepared script segment - all fed into your doc the night before recording.
Difficulty
low-code
Category
Content Creation
Market Demand
High
Revenue Score
7/10
Platform
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Vibe Code Friendly
⚡ YesHackathon Score
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What is it?
Hosts give the system a guest name and episode topic. The system scrapes their LinkedIn Twitter website and previous podcast appearances, aggregates information, identifies 8-10 smart talking points, pulls relevant clips from their previous podcast interviews using transcripts, and generates a host script intro. No more generic guest bios. No more awkward silences because the host didn't know a key fact. The research pack drops into a Notion doc overnight. Hosts prep in 15 minutes instead of 4 hours.
Why now?
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- ▸Guest bio and background auto-research
- ▸Talking point generation from multiple sources
- ▸Previous podcast appearance clips pulled with timestamps
- ▸Host intro script auto-generation
- ▸Notion doc integration
- ▸Email delivery of research pack
Target Audience
Podcast hosts with 5000+ monthly listeners. Estimated 18000 podcasts in this tier in US.
Example Use Case
Jordan hosts a 50k-listener tech podcast. His next guest is a startup founder he found through a recommendation. Usually Jordan spends 3 hours reading the founder's Twitter history blog posts and past interviews. This time he uses PodcastGuestResearcher. The system finds the founder's LinkedIn pulls 12 previous podcast appearances extracts key quotes and talking points and drops a research brief with script suggestions into Jordan's Notion. He reads it in 15 minutes instead of 3 hours and records a tighter more conversational episode.
User Stories
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Acceptance Criteria
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Is it worth building?
99 per month for weekly podcasters. Month 2: 80 podcasters equals 7920 MRR. Month 5: 250 podcasters equals 24750 MRR.
Unit Economics
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Business Model
SaaS subscription per-episode or monthly pricing
Monetization Path
Free tier generates one research pack per month. Paid at 99 per month for unlimited packs plus script generation.
Revenue Timeline
First dollar week 3 via beta. 1k MRR month 2. 5k MRR month 5.
Estimated Monthly Cost
Claude API 50 web scraping service 20 Notion API 5 Stripe fees 25 basic hosting 15 total roughly 115 per month at launch
Profit Potential
Full-time viable. 5k to 18k MRR realistic by month 6.
Scalability
High. Can handle 10000 research requests per month easily.
Success Metrics
Week 1: 120 signups. Week 2: 20 paid. Month 1: 60 paid 85 percent retention.
Launch & Validation Plan
Survey 25 podcast hosts. Build landing page. Get 5 beta podcasters to use for 3 episodes each. Measure time saved and satisfaction.
Customer Acquisition Strategy
First customer: DM 30 podcast hosts on Twitter with free research pack for their next guest. Then: Podcast networks Podpage communities Twitter podcasting communities Reddit r/podcasting.
What's the competition?
Competition Level
Very Low
Similar Products
ChatGPT for research no automation. Fountain.fm for guest management no research focus. Gap: nothing auto-generates research packs specifically for podcast prep.
Competitive Advantage
Only tool purpose-built for this exact workflow. Auto-finds previous podcast clips which no competitor does. Integrated into Notion not a separate app.
Regulatory Risks
Low regulatory risk. Web scraping must respect robots.txt and terms of service. No sensitive data handling.
What's the roadmap?
Feature Roadmap
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Milestone Plan
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How do you build it?
Tech Stack
Python FastAPI Claude for research and script generation Supabase Stripe Twitter API LinkedIn scraper podcasting data APIs - build with Cursor for backend Lovable for dashboard
Suggested Frameworks
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Time to Ship
2 weeks
Required Skills
Web scraping Claude API Notion API podcast data integration
Resources
Claude docs web scraping libraries Notion API podcasting platforms
MVP Scope
Guest info aggregation from public sources. Claude-based talking points. Notion integration. Email delivery. Stripe billing.
Core User Journey
Enter guest name receive research pack in Notion within 2 hours upgrade to paid.
Architecture Pattern
User submits guest name via form. Queue job triggers web scraper Claude research generator video clip finder. Results collate into Notion template. Email notification sent to user.
Data Model
User has many Podcasts. Podcast has many Episodes. Episode has one GuestProfile. GuestProfile has one ResearchPack. ResearchPack aggregates data from multiple sources.
Integration Points
Notion API for doc creation Claude API for research and scripting Twitter API LinkedIn data source podcast transcript databases Stripe for payments
V1 Scope Boundaries
V1 excludes team collaboration guest database CRM integration live scheduling custom research prompts API for third parties
Success Definition
A podcast host with no prior connection to us discovers the product uses it for a guest booking sees measurable time savings and upgrades to paid within 14 days.
Challenges
Web scraping reliability and staying up-to-date with site changes. Finding high-quality previous podcast clips. Handling guests with minimal online presence.
Avoid These Pitfalls
Do not build from-scratch podcast clip finding. Use existing APIs. Research quality varies wildly by guest prominence. Set expectations clearly. Do not promise real-time updates as initial feature.
Security Requirements
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Infrastructure Plan
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Performance Targets
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Go-Live Checklist
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How to build it, step by step
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Generated
March 20, 2026
Model
claude-haiku-4-5-20251001