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@lilyjclifford lily clifford
lily clifford posts on X about oracle, patterns, nasdaq, redpoint ventures the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
- X Week XXX +174%
- X Month XXXXX +226%
- X Months XXXXXX +1,202%
- X Year XXXXXX -XX%
Mentions: X #
Followers: XXXXX #
- X Week XXXXX +0.50%
- X Month XXXXX +3.50%
- X Months XXXXX +24%
- X Year XXXXX +34%
CreatorRank: XXXXXXXXX #
Social Influence #
Social category influence technology brands stocks exchanges vc firms
Social topic influence oracle #997, patterns, nasdaq, redpoint ventures, cofounder
Top Social Posts #
Top posts by engagements in the last XX hours
"@growing_daniel the oracle of san francisco"
X Link @lilyjclifford 2025-10-14T20:53Z 1202 followers, XX engagements
"Excited to be featured in @Oracle AI World's article featuring AI Innovators Link below 👇 Rime powers tens of millions of conversations every month across industries from food service to healthcare and every voice model we build must capture the realities of enterprise communication including accents dialects demographics and real-world patterns. Meeting this scale requires massive compute performance and with OCI AI infrastructure we can train and deploy faster focus on innovation instead of infrastructure and deliver the ultra-realistic voices our customers rely on. Brooke is repping Rime"
X Link @lilyjclifford 2025-10-15T19:19Z 1203 followers, XX engagements
"🎉 Please join us in welcoming Walter Lafky to our GTM team 🎉 Walter joins us with experience from @twilio @Nasdaq and @Redpoint Ventures. Were thrilled to have Walt on board. Welcome"
X Link @lilyjclifford 2025-09-25T16:15Z 1202 followers, XXX engagements
"When my co-founder Brooke was working on the Amazon Alexa something was clear: 📉 Usage was low for certain users. Alexa wasnt working in places like Atlanta Friends who spoke African American Vernacular English (AAVE) said: - Alexa misheard them. - Misunderstood them - Or just didnt respond. - They stopped using it altogether. So they got specific. Dialect-by-dialect modeling. Fine-grained demographically aware models. ✓ Localized for accents and place names ✓ Usage improved One lesson stuck: If your product doesnt understand your users they wont use it. At Rime were building text-to-speech"
X Link @lilyjclifford 2025-10-15T15:52Z 1203 followers, XX engagements