Learning and careers decision
SpeakUp
A single developer can build a useful web-based practice-and-feedback workflow (record → transcribe → analyze → review) in about a week, but reproducing Orato's native app polish, lesson content, and any proprietary tuning at scale would be more work — so build the core yourself for a narrow workflow, but keep paying if you need the full product experience.
Visit website↗$15/mo
$180/yr
Read off the official pricing page.
$100one-off40 h to build
$50/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 4 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- User records a practice session, audio is transcribed and analyzed for pace/pauses/filler words/clarity, the system scores and surfaces actionable notes, and sessions are stored for review and repeat practice.
What it still won’t have
- Polished native mobile UX and App Store / Play distribution
- Proprietary tuning and any private training data the vendor may have
- Bite-sized lesson content and editorial materials
- Cross-platform installable app conveniences (push, local audio storage)
- Brand, reviews, and existing user base
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal web-based AI public-speaking coach using React for the frontend, Node.js/Express for the backend, Postgres for session storage, and a cloud ASR (e.g., OpenAI whisper/whisper-as-a-service or other hosted transcribe API). Core features in scope: (1) client audio recording and upload, (2) server-side transcription and word-level timing alignment, (3) analysis pipeline to detect filler words, compute pace (wpm), detect pauses and simple structure markers (intro/body/close), (4) REST API to save and retrieve sessions, and (5) UI to run a session, show scores, annotated transcript, and replay audio with annotations. Out of scope: mobile native apps, paid subscription handling, advanced pedagogy lessons, offline/edge inference. Include error handling for failed uploads/transcriptions, retries, input validation, and automated tests for API routes and core analysis functions.
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score60
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productOrato — AI Coach for Public Speaking
- official pricingPricing | Orato — AI Public Speaking Coach
Integrity checks
What held up, and what did not.
