Live feedback from di audience
See di exact sentence wey enter and di one wey fall hand.
Speakers dey stream live audio. Listeners go tap green or red. We dey turn di talk to sentences and pin every reaction to di moment dem talk am. So as you comot for stage you go sabi wetin work.
How e dey work
Speaker dey stream
From any browser. We dey capture audio wit di mic wey dey inside. No extra hardware. Speakers dey see di audience pulse live.
Listeners dey react
Audience go open one code or QR. One tap green if dem gree, red if dem confuse or dem no gree. No account dey needed.
You go get insight
We dey write down every sentence and mark am wit di reactions. Di best moments and weak moments go show by demself.
We build am for
Conferences & talks
Sabi which slide really move di room and which one make everybody lost.
Lectures & training
Find di explanation wey confuse half di class so you fit go back am for next session.
Music gigs
Hear which song di crowd love beat by beat. Make you fit tune your set-list between cities.
Webcasts & remote panels
Audience wey spread, live signal. No conference-call quiet wey go embarrass you to read.
Security & how we dey handle data
Live audio plus reactions wey dem fit trace na sensitive matter. We dey talk am clear wetin we dey do wit am.
Wetin we dey record
Audio wen event dey live, plus di transcript and di reaction stream. Dem go delete di audio sharp-sharp afta.
Where we dey keep am
EU region (Germany) by default.
How we dey keep am
Dem go auto-delete di raw audio sharp-sharp. Transcript and reaction go stay until di speaker delete di event.
Your rights
Listeners fit delete dia reaction and note any time. Speakers sef fit export and delete all di event data any time wey dem want.
Full details: Privacy Policy · Terms of Use
FAQ
- Listeners need install app?
- No. Dem go open one link abi scan QR code, tap green or red. Display name na option, no signup dey needed.
- Dem dey share di speaker audio wit di audience?
- No. Listeners dey hear di speaker for person (or through separate live stream wey dem don get already). We dey focus on di feedback loop, no be to be streaming platform.
- How correct di transcription dey?
- We dey use cloud speech-to-text providers (Deepgram by default) wey dem tune for talks. Quality dey best wit good mic and small background noise.
- How much one event dey cost?
- Free for listeners; pricing details for Speakers before di public launch. Speakers wey dey sign up now go dey free forever.
- I fit delete one event after?
- Yes. From di speaker dashboard.
Anything else? yeysus@gmail.com
About
FeedBackApp start as idea around 2011, from personal wahala: Jesus no too sabi write meeting minutes well well. E dey lead some big projects, and dem dey expect am to send di so-called “meeting minutes” wit summary of di conversations and action points. For dat time, people dey really read dose minutes, and sometimes e go come back: “Na dis kain thing I mean…”, or worse, “I never talk dat one”. After every meeting e go spend hours dey re-write and dey reconstruct one “politically correct” version of who talk wetin, which decisions dem don make, and wetin everybody gree to do. E be tedious manual work. E dey shout for automation.
Di first idea dey very simple: di app suppose capture conversations sentence by sentence, and for di end di participants go gree on di “decisions” and “action points”. Den everybody go receive dia meeting minutes by email, wit clear action points. For years we try build am plenty times, wit IBM Watson among others, but di technology never really sweet. Speech recognition too dey miss, and to collect di spoken words sentence by sentence na nightmare. Add corporate environment wey full of international people and plenty different accents, and e no ever turn real product.
November 2022 change everything. OpenAI and ChatGPT carry speech-to-text go next level and make am available to everybody. Di new large language models (LLMs), wit GenAI-assisted software development, di so-called “Vibe Coding”, term wey OpenAI co-founder and computer scientist Andrej Karpathy popularize for February 2025, don reduce di time and effort wey e dey take to build software well well. Small team fit now achieve for weeks wetin big teams wit plenty specialized roles dey need years to do before.
FeedBackApp na di result of dat journey. E start as way to solve personal meeting-minutes wahala and e don grow turn something bigger: one platform wey dey capture spoken words and dey help people see which ideas dey land and which one no dey.
We be small operation wey dey based for Berlin.
If you wan talk to human being about di product, write to yeysus@gmail.com.
We love history and Wikipedia. You fit read more about dis topics for di English Wikipedia:
- Vibe Coding: https://en.wikipedia.org/wiki/Vibe_coding
- Large Language Model: https://en.wikipedia.org/wiki/Large_language_model
- OpenAI: https://en.wikipedia.org/wiki/OpenAI