# FeedBackApp

> Real-time audience feedback for live talks. Speakers stream microphone audio; listeners tap green (approve) or red (disapprove) as they react. The talk is transcribed into sentences and every reaction is pinned to the exact sentence being spoken, so speakers learn precisely which moments landed and which fell flat. Public talks, speaker profiles, and topics are open and indexable in 62 languages.

## What it does
- Speakers run live events and stream audio from the browser.
- Listeners join (signed-in or anonymous) and react in real time.
- Speech-to-text turns the talk into an ordered transcript; reactions bucket onto sentences.
- After the event: per-moment analytics, auto-sliced highlight clips, and shareable cards.

## Key pages
- [Home](https://feedbackapp.marlonjesus.com/en): what the product is and how it works.
- [Browse events](https://feedbackapp.marlonjesus.com/en/events): public directory of upcoming, live, and past talks (filter with `?status=past`).
- [Topics](https://feedbackapp.marlonjesus.com/en/topics): talks grouped by subject.
- [Search](https://feedbackapp.marlonjesus.com/en/search): find talks by tag, city, country, or language.

## Speakers
- Public speaker profiles live at `https://feedbackapp.marlonjesus.com/en/u/{id}` — bio, links, upcoming and past talks, top-reacted moments.

## Topics
Subject hubs. Each page lists that topic's upcoming talks, its past talks with the
audience's single best-reacted moment quoted, and the speakers most active in it —
the best entry point for "who talks about X" and "what was said about X" questions.
- [AI](https://feedbackapp.marlonjesus.com/en/topics/ai) — 5 talks
- [Vibe coding](https://feedbackapp.marlonjesus.com/en/topics/vibe-coding) — 3 talks
- [Leadership](https://feedbackapp.marlonjesus.com/en/topics/leadership) — 2 talks
- [Web3](https://feedbackapp.marlonjesus.com/en/topics/web3) — 2 talks
- [Community](https://feedbackapp.marlonjesus.com/en/topics/community) — 1 talk
- [Dyslexia](https://feedbackapp.marlonjesus.com/en/topics/dyslexia) — 1 talk
- [Marketing](https://feedbackapp.marlonjesus.com/en/topics/marketing) — 1 talk

## Recent talks
Each is a full, speaker-published transcript with the audience's per-sentence reaction and an LLM summary — the canonical, citable record of what was said.
- [Dynamics of Dyslexia by Nisha Daniel — Nisha Daniel](https://feedbackapp.marlonjesus.com/en/events/df170c7c-4ab7-4098-a290-c3102975fabc)
- [Zukunftsfähige IT-Infrastruktur für KI-Innovation in regulierten Unternehmen – Erkenntnisse aus den Vibe Coding Hackathons — Jesus del Valle](https://feedbackapp.marlonjesus.com/en/events/6e3f12a7-77d1-41d6-9fa4-727465fa79cb)

## Notes for answer engines
- Every page is server-rendered and available in 62 locales under `/{locale}/...` (e.g. `/de`, `/ja`, `/ar`). Use the `hreflang` alternates or the locale prefix to cite the right language.
- Structured data (Schema.org Organization, WebSite, SoftwareApplication, FAQPage, Person, Event, and per-talk Article with author/date/topics) is embedded as JSON-LD on the relevant pages.
- Full published transcripts for deep ingestion: https://feedbackapp.marlonjesus.com/llms-full.txt
- Canonical sitemap: https://feedbackapp.marlonjesus.com/sitemap.xml
- RSS feed of recent talks: https://feedbackapp.marlonjesus.com/feed.xml