Phil Eichmann

27 posts

Phil Eichmann

Phil Eichmann

@philippeichmann

@EinblickAI

San Francisco, CA Katılım Şubat 2011
236 Takip Edilen66 Takipçiler
Phil Eichmann retweetledi
Einblick
Einblick@EinblickAI·
Announcing ChartGen AI on @ProductHunt! Create beautiful charts & graphs from your data with just one sentence. No more fiddling with toggles & sliders. Upload a dataset, describe the chart, and generate instantly! Download as a PNG or SVG. Check us out: producthunt.com/posts/chartgen…
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Sarah Catanzaro
Sarah Catanzaro@sarahcat21·
Text to data transformation workflows, like those enabled by @EinblickAI Prompt, will undoubtedly enable data practitioners to unlock the same productivity gains that developers are achieving with tools like Copilot.
Einblick@EinblickAI

🚨Build an entire data workflow with just a one-sentence prompt🚨 Introducing Einblick Prompt – built on top of @OpenAI and @langchain. Now it’s easier than ever to kickstart data projects using natural language. Learn more: einblick.ai/prompt/

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Sunil Dhaliwal
Sunil Dhaliwal@dhaliwas·
Hard to comprehend the speed at which language capabilities will remake application UX. Amazing new analytics capabilities from @EinblickAI leveraging @OpenAI and @langchain
Einblick@EinblickAI

🚨Build an entire data workflow with just a one-sentence prompt🚨 Introducing Einblick Prompt – built on top of @OpenAI and @langchain. Now it’s easier than ever to kickstart data projects using natural language. Learn more: einblick.ai/prompt/

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Einblick
Einblick@EinblickAI·
Meet Einblick’s revamped #Python canvas! Built for #DataScience teams to solve complex problems. Watch the limitless possibilities unfold in our multidimensional, supercharged platform. More functionality than #Jupyter notebooks packed into the sleek UI of an interactive canvas.
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Einblick
Einblick@EinblickAI·
ICYMI, check out our new feature update: Whether you're using a CSV, database, or #Python dataframe, Einblick lets you query that data using #SQL syntax. Never struggle with #pandas data manipulation (or worse, Excel) ever again! 🐍 lnkd.in/d_WKGmgU
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Einblick
Einblick@EinblickAI·
Thrilled to have been selected for the first-ever US cohort of Intel Ignite, Intel’s acceleration program for deep tech #startups. It was so great kicking off last week! 🚀 You can read more in the official press release here: lnkd.in/db9xws2Z #datascience #innovation
Intel Ignite@IntelIgnite

We’re excited to open our new cohorts: Batch 7 Israel, Batch 4 Europe and Batch 1 US. We look forward to seeing what the next 12 weeks will bring for the new startups joining our program! We wish them a spectacular journey! #intelignite #entrepreneur #tech

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Einblick
Einblick@EinblickAI·
NEW FEATURES: from a linear #python notebook to a #datascience canvas. Evolve past legacy tools. Reimagine work in an unbounded canvas, designed for data scientists to accelerate time to insight. Import your notebook now 👉einblick.ai/blog/notebook-…
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Phil Eichmann
Phil Eichmann@philippeichmann·
@MartinHTrauth @MitraJoon for folks considering new tools, checkout @EinblickAI it's an interactive canvas to explore, process and model data, and you can plug in your own scripts where needed. Plus, it's super fast.
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Phil Eichmann
Phil Eichmann@philippeichmann·
@Buy_The_Dip_ checkout @EinblickAI - you can use SQL, Python/Pandas on an interactive canvas and do a lot of common operations like joining tables, querying and plotting data, visually.
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Phil Eichmann
Phil Eichmann@philippeichmann·
@data_nerd checkout @EinblickAI - you can write your SQL queries on an interactive canvas and either use visual tools or straight up Python/Pandas to explore, transform, and model data. Added benefit: all computations are executed progressively, so it's super fast.
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Phil Eichmann
Phil Eichmann@philippeichmann·
@haltakov @tryMito checkout @EinblickAI - it's got a visual interface to explore, process and model data, and you can plug in your own scripts where needed. Plus, it's super fast.
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Vlad Haltakov
Vlad Haltakov@haltakov·
I like Excel for exploring tabular data, but I like Python and pandas for processing it. Mito (@tryMito) looks like a nice little tool to combine both. It integrates into your Jupyter environment and lets you explore and edit data syncing the changes to the code.
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