Evan Rimer

606 posts

Evan Rimer

Evan Rimer

@EvanRimer

FDE @tavilyai @twistpartygame

Katılım Nisan 2016
1.1K Takip Edilen153 Takipçiler
Roman Chernin
Roman Chernin@romanchernin·
One thing I think is underappreciated is building the field: covering the market, being proactive with customers, and giving both AEs and Customers Facing Engineers (CSAs, FDEs) more time with customers. This is extremely important if we want to build a diversified cloud business. @marcboroditsky @waqasmakhdum and the rest of the large team are doing a great job
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dylan ツ
dylan ツ@demian_ai·
Ich bin ein Nebiuser 🇩🇪 After a week in Amsterdam, onto Berlin (the EU is booming 🇪🇺) On tuesday we brought ~100 ML engineers, platform architects, and technical founders together for Nebius Build/BER, a small technical gathering for people building in AI. What I didn't expect was the range. Someone training LLMs on Nepali. Someone building AI tooling for city governments. Europe has a different kind of builder culture. More grounded. More "does this actually work for real people" and less about the valuation. Always fascinating to see how the crowd shifts city to city, and Berlin had its own flavor of sharp. The kind of event where the Q&A runs long because the questions are actually good. Thanks to everyone who came out to Impact Hub Berlin, and to our partners Anyscale, Tavily, NVIDIA, and Black Forest Labs for going deep with us. Berlin, you delivered. More cities coming 👀
dylan ツ tweet mediadylan ツ tweet mediadylan ツ tweet mediadylan ツ tweet media
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Evan Rimer
Evan Rimer@EvanRimer·
Berlin showed up with energy! Excited to see what everyone builds with @tavilyai
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Tavily
Tavily@tavilyai·
What if you let the model write code to search, filter, and extract information, so only relevant results enter its context? By recreating the pattern with the Tavily CLI and a simple skill you can beat Anthropic’s PTC in both accuracy (+13pp F1) and efficiency (12× cheaper), without requiring any proprietary infrastructure! Check out the full rundown in our most recent blog from Tavily FDE @lakshyaag tavily.com/blog/dynamic-f…
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Tavily
Tavily@tavilyai·
Building coding agents isn’t the future, it’s already happening. Join us for a live, practical walkthrough with a Tavily Forward Deployed Engineer @EvanRimer on how teams are shipping production-grade coding agents today. Then see how @jetbrains integrated Tavily to power their new agent, Junie. Bring your messy ideas, weird edge cases, and big ambitions. Leave with something you can actually build. Let’s get into it, register here: tavily.com/webinars/build…
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Evan Rimer
Evan Rimer@EvanRimer·
Just ask your OpenClaw to add @tavilyai as the web search
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Evan Rimer
Evan Rimer@EvanRimer·
I'll be doing a live coding agent demo showing how engineers are building with Tavily, plus @jetbrains will walk through how they integrated Tavily to power Junie. Join me April 7th. tavily.com/webinars/build…
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Evan Rimer
Evan Rimer@EvanRimer·
LangChain Fleet is cool. One prompt later and now I wake up to an email of the latest news from all my portfolio companies. @LangChain
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Evan Rimer
Evan Rimer@EvanRimer·
Connected my OpenClaw to the tavily-websearch skill Fast, accurate, structured web data optimized for agents 🦞
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Nike
Nike@Nike·
Mute the gallery.  Introducing Nike Powerbeats Pro 2, the ultimate fitness earbuds. The first-ever Beats x Nike collab — where premium sound meets unbeatable stability.  No advice required. Launching March 20th at 9am PST at apple.com, nike.com, and select Apple stores globally.
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Tavily
Tavily@tavilyai·
Introducing the Tavily CLI: a powerful way for agents to traverse the web from the terminal. - Search: Query the live web with speed and accuracy - Extract: Turn URLs into clean, LLM-ready content - Research: Dive deep on any topic and create reports - Crawl / Map: Explore entire websites across hundreds of paths in parallel Visit the docs and get started with this terminal command: curl -fsSL cli.tavily.com/install.sh | bash
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Tavily
Tavily@tavilyai·
NVIDIA’s AI-Q reached #1 on DeepResearch Bench + and Tavily powers the web research layer behind the system. The model was fine-tuned on ~80K research trajectories that included Tavily web search results, enabling it to learn multi-step search and synthesis workflows. This approach is possible through Tavily’s direct access to raw web data. That's why Tavily exists. Search infrastructure designed specifically for AI agents doing deep research.
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Tavily
Tavily@tavilyai·
Did you know you can use Tavily skills in @cursor_ai to build deeply researched product specs + leverage accurate web retrieval? cursor.com/docs/
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