ActorRise's answer:

ActorRise has the largest monologue database available (8,600+ pieces) paired with semantic AI search that understands what actors are actually looking for. You describe what you need in plain language and get results in under 20 seconds. No other platform matches it on database size or search quality.

ActorRise's answer:

Backstage has around 1,100 monologues with basic keyword filters. ActorRise has 8,600+ and search that understands tone, emotion, theme, and character context. It was built by a working actor who got tired of finding the same 50 pieces on every platform, so the whole thing is designed around how actors actually think when looking for material.

ActorRise's answer:

Actors at all levels: drama students, non-union working actors, and trained professionals who need to find the right audition piece without spending hours searching. Also acting coaches and teachers who regularly source material for their students.

ActorRise's answer:

PostgreSQL with pgvector for semantic search, Python and FastAPI on the backend, OpenAI embeddings for AI search, Supabase for auth and storage, and React on the frontend. Monologue content comes from public domain works via Project Gutenberg and licensed sources.

ActorRise's answer:

ActorRise was built by Canberk Varli, a software engineer and working actor in Berkeley, CA. He kept running into the same problem: monologue databases with small libraries and search that didn't really work. So he built the tool he wanted. His engineering background and his experience as an actor at Inferno Theater turned out to be a good combination for solving this.

ActorRise's answer:

• Actors and drama students in the San Francisco Bay Area theater community
• Independent working actors preparing for auditions
• Acting coaches sourcing material for students