- Category
- Productivity
- Rank
- No. 1559Tools index
Previous survey · No. 1564 ·
- Pricing
- Open Source
- Type
- APP
- Builder
- JuliusBrussee
- GitHub
- 36 stars
- Date
About
AI pitch coaching app for founders — live recording and transcription, async analysis runs, deck upload, and Miro fix-board export.
What it does
Pitchr evaluates spoken or pasted pitches against mode-specific rubrics, then returns prioritized corrections, transcript-linked citations, delivery measurements, and an editable rewrite. It supports short elevator pitches and longer investor sessions, remembers project history, and can simulate skeptical investor questions by voice.
Why it's ranked here
Pitchr has unusual depth for deliberate pitch practice. Its strongest argument is the feedback loop: rubric categories, deterministic delivery checks, transcript evidence, concrete corrections, and rewrites all address different parts of improvement. The repository also documents calibration harnesses and hard scoring caps. That rigor comes with substantial hosting and provider complexity.
What's good
Feedback stays tied to the founder’s actual material. Suggestions cite transcript lines, rewrites appear beside the original, and changes can be accepted individually. Delivery analysis covers pace, filler words, pauses, repetition, and timing. Uploaded decks expand the evaluation, while project history makes repeated practice measurable.
Tradeoffs
A useful self-hosted setup needs Node, Yarn, Supabase, database migrations, edge deployments, storage buckets, and an Anthropic key. Recording, voice simulation, billing, email, and fallback inference each add separate providers or credentials. Audio transcription is not self-hosted. Deployment outside Vercel requires extra edge-runtime wiring, and modified network deployments carry source-sharing obligations.
How to use it well
Use Pitchr for founders rehearsing elevator pitches or investor meetings through repeated record, assess, rewrite, and retry cycles. Add a deck when spoken coverage must match presentation content. Use the voice simulator for objection practice. It does not cover live recording overlays, video or body-language analysis, investor matching, CRM work, or dataroom management.
Technical notes+
The application is an ES module package defined in package.json, built with Next.js 15, React 19, TypeScript 5.7, and Yarn 4. lib/supabase/server.ts creates the server-side Supabase client and forwards cookies for session handling. docs/infra/runtime-env-matrix.md separates the Next.js web runtime, Supabase Deno edge functions, and an Express STT/TTS sidecar. stt.ts supplies a microphone CLI that builds mono PCM WAV data, sends it to AssemblyAI, and writes text plus JSON transcripts. next.config.ts configures Sentry, GLSL loading, external PDF packages, and a selectable build directory.
Observed
- License
- GNU AGPL v3.0 or later
- Primary language
- TypeScript
- Install surface
- Yarn 4 package requiring Node 18 or newer
- Interfaces
- Next.js web application plus an AssemblyAI microphone transcription CLI
- Deployment
- Designed for Vercel with Supabase database, storage, auth, and edge functions
- Testing
- Repository documents Vitest unit and integration tests plus Playwright end-to-end smoke tests
- Runtime structure
- Web app, Supabase Deno edge functions, and a separately hosted Express speech sidecar
Read from README.md, package.json, lib/supabase/server.ts, docs/rubric-matrix-runners.md, docs/infra/seo.md, docs/infra/runtime-env-matrix.md, docs/scoring/hackathon-scoring-map.md, docs/scoring/rubric-matrix-runners.md, docs/scoring/rubric-sandbox-test-cases.md, docs/infra/supabase-auth-email-templates.md, docs/marketing/waitlist-email-newsletter.md, stt.ts, middleware.ts, next-env.d.ts, next.config.ts.
What it can do
Record pitch presentations live
Live founder pitch presentation → Audio/video recording
Transcribe pitch recordings
Audio/video recording of pitch → Text transcription
Analyze pitch performance asynchronously
Pitch recording or transcription → AI-generated coaching feedback and analysis
Upload pitch decks for analysis
Pitch deck file → Uploaded deck ready for analysis
Export analysis to Miro board
Pitch analysis results → Miro fix-board with coaching insights
Tags
Tech Stack
Media
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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.