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Deep Research wasn’t fast enough, so we built Wide Research: multi-agent web research powered by Scrapybara Act SDK Watch CUA navigate socials to find YC W25 contact infos - even when limited to parallel batches of 4 it researched 1 company/min! gib rate limit pls edwin

justin

6,672 subscribers

15,854 次观看 • 1 年前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

8 条评论

justin 的头像

justin1 年前

Build with CUA:

AssemblyAI 的头像

AssemblyAI2 年前

Our speech-to-text models are the most accurate on the market with top rankings across industry benchmarks. - The highest accuracy rates—up to 95% - Up to 30% fewer hallucinations than other leaders - Low latency—63 minutes converts in 35 seconds Try via API for free today 👇

justin 的头像

justin1 年前

To clarify our infrastructure supports researching every company at the same time, only limiting the batch size rn because of LLM rate limits!

Kyle Jeong 的头像

Kyle Jeong1 年前

@edwinarbus when are we getting obese research (100 concurrent vms)

justin 的头像

justin1 年前

@edwinarbus it’s coming

Houdini 的头像

Houdini1 年前

@edwinarbus Where can I try this out. Ready to pay

Kushagra 的头像

Kushagra1 年前

@edwinarbus @utkarshcs18

Oleg Zaremba 的头像

Oleg Zaremba1 年前

@edwinarbus Why did you split it into 4 only after getting the list? Also, how many "steps-per-prompt" were you using? Did you optimize for that?

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