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Jeanelle Wu
@jeanellewuu
llm routing @merge_api
95 Following    78 Followers
Grok 4.7 from xAI (@SpaceXAIx) is now available on Merge Gateway. Coding is the story. It scores 46.3% on CursorBench 4.0 against 40.4% for Grok 4.6, and 71.0% on DeepSWE v1.1. Check it out:
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exactly why we built this:
the amount of companies that tell me they have a "company brain" it's just markdown files in a database lol
Your agents have new tools. Four new connectors just landed in Merge Agent Handler: - Ordinal (@tryordinal) - Browserbase (@browserbase) - Discord (@discord) - Copper (@CopperInc) Start building:
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GPT-6 Astra leads Terminal-Bench 4.0 among priced models at 57.7%, with Claude Fable 5.1 close behind at 55.8%. Claude Opus 5 reaches 51.8% at half the output price. With Merge Gateway, you can route terminal tasks to the model that fits the performance and cost target you set.
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ICONIC ! Saw this Ad in SF today and it’s the best ever😁
HH beer and oysters w the girlies 🍻🦪
i guess merge is catching up fast then lol 🤭
on track to 500 trillion token month just getting started
We tested 5 open-weight models against @AnthropicAI Claude Sonnet 5 on 20 real coding tasks. • @Zai_org GLM 5.3 • @Zai_org GLM 5.3 Flash • @deepseek_ai DeepSeek V4 Pro • @deepseek_ai DeepSeek V4 Flash • @Kimi_Moonshot Kimi K3 GLM 5.3 won at a 1/10 of Claude's cost:
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Ads are measured by recall and this one is burned in my brain, so 10/10 for promiscuous Claude.
🍸 anyone want to grab a merge martini? such a fun happy hour by @merge_api and @linear for @lennysan Lenny and Friends Summit! s/o @danielyegarcia host/planner extraordinaire
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check us out!! ⬇️⬇️
Introducing Merge’s Universal Context Layer. It substantially decreases token cost while increasing accuracy. Every company uses AI wrong: Say your designer makes a deck using Claude. They teach Claude your design systems and typography. Now a Marketing hire makes a deck. None of the information your designer taught Claude gets passed over… why? Merge fixes this: All knowledge and memory across your entire company gets stored inside our context layer. When someone on the org teaches Al, that skill lives across the entire organization instead of staying locked in their session. Your AI runs faster, cheaper, and with more accuracy. You don’t have to switch systems, incur more costs, or retrain anyone on your team, Merge runs invisibly in the background. Book a demo here:
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Introducing Merge’s Universal Context Layer. It substantially decreases token cost while increasing accuracy. Every company uses AI wrong: Say your designer makes a deck using Claude. They teach Claude your design systems and typography. Now a Marketing hire makes a deck. None of the information your designer taught Claude gets passed over… why? Merge fixes this: All knowledge and memory across your entire company gets stored inside our context layer. When someone on the org teaches Al, that skill lives across the entire organization instead of staying locked in their session. Your AI runs faster, cheaper, and with more accuracy. You don’t have to switch systems, incur more costs, or retrain anyone on your team, Merge runs invisibly in the background. Book a demo here:
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Was not prepared to see “My Claude’s Promiscuous” on my way to the train station in SF tonight 😭 @merge_api
ai token spend for the enterprise is not solved by an in-product model router