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# ![@Kathrynwu088 Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1687901557038436352.png) @Kathrynwu088 Kathryn Wu

Kathryn Wu posts on X about asr, in real the most. They currently have XXXXX followers and X posts still getting attention that total XX engagements in the last XX hours.

### Engagements: XX [#](/creator/twitter::1687901557038436352/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1687901557038436352/c:line/m:interactions.svg)

- X Month XXXXX -XX%
- X Months XXXXXX +418%
- X Year XXXXXX -XX%

### Mentions: X [#](/creator/twitter::1687901557038436352/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1687901557038436352/c:line/m:posts_active.svg)

- X Month X -XX%
- X Months XX +100%
- X Year XX -XX%

### Followers: XXXXX [#](/creator/twitter::1687901557038436352/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1687901557038436352/c:line/m:followers.svg)

- X Month XXXXX +0.67%
- X Months XXXXX +8.50%
- X Year XXXXX +17%

### CreatorRank: undefined [#](/creator/twitter::1687901557038436352/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1687901557038436352/c:line/m:influencer_rank.svg)

### Social Influence

**Social topic influence**
[asr](/topic/asr) 100%, [in real](/topic/in-real) XXX%

**Top accounts mentioned or mentioned by**
[@elevenlabsio](/creator/undefined)
### Top Social Posts
Top posts by engagements in the last XX hours

"Today we're releasing the Avera Labs STT Leaderboard - a benchmark that finally measures what actually matters beyond WER. For years WER (Word Error Rate) has been the default ASR metric. It tells you whether the words match.But in real phone workflows WER measures the text not the conversation. It ignores structure intent timing and the subtle cues that make transcripts usable in production. We got something better. The Avera Labs leaderboard adds four dimensions that matter for voice agents: X. Speaker Diarization: Are words attributed to the right speaker with clean turn boundaries 2."  
[X Link](https://x.com/Kathrynwu088/status/1998820637377429600)  2025-12-10T18:22Z 5424 followers, 1716 engagements

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

@Kathrynwu088 Avatar @Kathrynwu088 Kathryn Wu

Kathryn Wu posts on X about asr, in real the most. They currently have XXXXX followers and X posts still getting attention that total XX engagements in the last XX hours.

Engagements: XX #

Engagements Line Chart

  • X Month XXXXX -XX%
  • X Months XXXXXX +418%
  • X Year XXXXXX -XX%

Mentions: X #

Mentions Line Chart

  • X Month X -XX%
  • X Months XX +100%
  • X Year XX -XX%

Followers: XXXXX #

Followers Line Chart

  • X Month XXXXX +0.67%
  • X Months XXXXX +8.50%
  • X Year XXXXX +17%

CreatorRank: undefined #

CreatorRank Line Chart

Social Influence

Social topic influence asr 100%, in real XXX%

Top accounts mentioned or mentioned by @elevenlabsio

Top Social Posts

Top posts by engagements in the last XX hours

"Today we're releasing the Avera Labs STT Leaderboard - a benchmark that finally measures what actually matters beyond WER. For years WER (Word Error Rate) has been the default ASR metric. It tells you whether the words match.But in real phone workflows WER measures the text not the conversation. It ignores structure intent timing and the subtle cues that make transcripts usable in production. We got something better. The Avera Labs leaderboard adds four dimensions that matter for voice agents: X. Speaker Diarization: Are words attributed to the right speaker with clean turn boundaries 2."
X Link 2025-12-10T18:22Z 5424 followers, 1716 engagements

@Kathrynwu088
/creator/twitter::Kathrynwu088