Seed Round Term Sheet Analyzer

Instantly decode your seed round term sheet. Get plain-English summaries, red flags, and market benchmarks—no lawyer required.

Comment

Why we built this

We built TermFair because seed and Series A founders often get buried in legal jargon they can’t afford to decipher. Term sheets are filled with clauses—liquidation preferences, anti-dilution, pro rata rights—that can significantly impact a startup's future. First-time founders typically lack the legal know-how or budget to analyze them thoroughly.

What it does

TermFair is an AI-powered app that:

  • Translates complex term sheet clauses into plain English
  • Flags red flags based on market norms
  • Benchmarks each clause against YC- and Carta-style templates
  • Offers voice-read summaries using ElevenLabs
  • Unlocks advanced benchmarking and deal simulations via RevenueCat paywall

What we learned

We learned that even small changes in term sheet language can drastically change founder outcomes. We also learned that founders value instant clarity more than legal nuance. Our focus shifted from being legally exhaustive to being contextually useful—“Does this help you make a better decision right now?”

How we built it

We used:

  • Bolt.new to rapidly scaffold the entire web experience using zero-shot prompting
  • ElevenLabs Voice AI SDK to make summaries listenable
  • RevenueCat SDK for managing Pro subscriptions
  • Supabase for structured storage of user-uploaded term sheets and analytics history
  • LangChain + GPT-4-turbo for clause classification, interpretation, and benchmarking logic
  • Netlify for fast, no-hassle deployment

We also built an internal clause tagging schema based on open-source legal templates and trained a custom prompt pipeline to optimize legal-to-plain-text translation.

Challenges we ran into

  • Designing prompts that walk the tightrope between plain-English simplicity and legal accuracy
  • Benchmarking real term sheets: there’s no standardized dataset, so we had to scrape, anonymize, and structure our own dataset
  • Fitting voice interactivity into legal UX without overwhelming the user
  • Integrating RevenueCat into Bolt-based flows smoothly

What's next

  • Let users simulate investor-friendly vs founder-friendly clause stacks
  • Add collaborative annotation tools (e.g. a co-founder chat layer)
  • Launch a YC-style clause diagnostic report
  • Extend coverage to SAFE, Series A, and convertible note templates

Built With

  • langchain
  • netlify
  • react
  • tailwind
  • vite
Share this project:

Updates