Two audiences. One infrastructure. Different goals, different wins.
Follow two real cases to see how our engine turns signals into scoring, and scoring into decisions
👨💼 Investor Example: Lisa – Angel Syndicate Manager
Lisa runs a syndicate of 30 angels investing in early-stage B2B SaaS startups. Before Pynn, her inbox was flooded with pitch decks, her LPs were asking for deal notes, and she had no time for proper screening.
With Pynn AI:
- Lisa sets up a branded portal at
saas-angels.pynnai.com
- Startups apply directly and are automatically screened
- Each application generates a clear, structured profile + short report
- Lisa instantly sees red/yellow flags based on her thesis
- She uses the platform to shortlist deals, share reports with LPs, and streamline her pipeline
“I replaced two analysts and five tools with one platform. Now my LPs get clarity, and I get back my time.”
🏛️ Community Example: Javier – Accelerator Programme Director
Javier runs a pre-seed accelerator in Spain with 3 batches per year and over 200 applications per cohort. Before Pynn, his team reviewed slides manually, had no consistent scoring, and struggled to show programme impact.
With Pynn AI:
- He launches a branded platform at
foundershub.pynnai.com
- Applicants are pre-screened by AI using Javier’s custom questions
- Each startup gets a short report — and can upgrade to full
- The team selects cohorts with clearer data and no bias
- Javier monetises by selling full reports to founders or investors
“I finally have the tools to scale our programme and show real, data-backed results to sponsors.”
🤝 Different Goals. Same Backbone.
Feature | Investors | Communities |
Branded platform | ✅ | ✅ |
Thesis-based filtering | ✅ | ✅ |
Startup assessments | ✅ | ✅ |
Internal investment flow | ✅ | ❌ |
Cohort selection | ❌ | ✅ |
Founder-facing reports | Optional | Core value |
Monetisation model | Save time, improve decisions | Support founders, earn revenue |