Live Earnings

The only live-attributed earnings feed.

The only way to follow earnings calls live, line by line, with every speaker named as they speak. In the app, through the API, or in your AI assistant (ChatGPT, Claude). Then read the full transcript free.

Said live on Cerebras's Q3 2026 call
“Based on our team executing frequent in-person inspections of each site we now project we will be back on schedule by the second half of 2027 and this should reduce future delay credit risk.”

Bob Komin, Chief Financial Officerat 33:43

Read it in the full transcript
Next live call

NVDA Q3 FY27

With Colette Kress · 12 covering analysts

00
days
00
hours
00
min
00
sec
Join the call

Sign in with Google or email to join.

Missed a call? Past calls, speaker by speaker.

Browse past calls

Coming up

Wednesday, Nov 18

Just covered

34 companies · 39 calls transcribed

All past calls →
Build on Live Earnings

Built on the only live-attributed feed.
Now an API.

Every word attributed to the speaker who said it. Streamed within seconds of being spoken. This is the foundation for every product that operates while the call is live — alerts, signal generation, position sizing, post-call analysis. Build what your competitors can't.

Diarization tells you a speaker changed. Live Earnings tells you who it was.

Other live transcript feeds
Live Earnings
Speaker 1 / Speaker 2
Toshiya Hari, Goldman Sachs
Diarization only
Speaker name + role + firm
Buggy real-time labels
Provisional events with explicit corrections
Generic transcript text
Typed event stream (speaker, phase, correction)

Live diarization is not enough. Live Earnings resolves the speaker.

Trading desks

Surface guidance, surprises, analyst pressure points in the seat — sub-5-second from spoken word to your terminal.

Research products

Replace transcription vendors that ship hours later. Live attributed copy, ready to highlight, quote, embed.

Internal LLM pipelines

Feed attributed turns into your own models for sentiment, deviation-from-guidance, Q&A pattern detection.

Install
Pythonpip install live-earnings
from live_earnings import LiveEarningsClient, Transcript

client = LiveEarningsClient(token=...)
transcript = Transcript()
for env in client.stream("nvda-q1-fy27"):
    if turn := transcript.apply(env):
        print(turn.name or "…", turn.text or "")
TypeScriptnpm i live-earnings-sdk
import { LiveEarningsClient, Transcript } from "live-earnings-sdk";

const client = new LiveEarningsClient({ token });
const transcript = new Transcript();
for await (const env of client.stream("nvda-q1-fy27")) {
  const turn = transcript.apply(env);
  if (turn) console.log(turn.name ?? "…", turn.text ?? "");
}
Read the full API referenceTalk to us about enterprise →