Most people are still thinking in terms of “which model is best?” That’s yesterday’s question. The new question is: Which ecosystem helps people move from idea → execution fastest?
TOOLS
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No-Code AI and Top 10 Machine Learning Trends for 2025
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How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 https://
graphite-note.com/machine-learni
ng-trends/
… #AI #MachineLearning #IoT #WMC26 #5G -

Poll percentage calculator tool excludes results option
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Here's a little tool I vibe-coded for calculating percentage results of polls that first need to exclude a "just show me the results" option https://
tools.simonwillison.net/percentage-rec
alculator
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Gemini AI Now Integrated Into Google Drive
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Finally: Gemini is now embedded in @GoogleDrive
! One of our newest features, Ask Gemini, allows users to dive deeper based on the content from the files in their Drive, as well as Gmail, Calendar, and Chat. Let's say you just got added to an extremely high-stakes meeting (our -

Gemini Google Sheets Achieves 70.48% Success Rate SpreadsheetBench
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While we don't have favorites, the evolution of Gemini in Google Sheets might be our most impressive yet. Gemini in Google Sheets has achieved a state-of-the-art benchmark, achieving a 70.48% success rate on the full SpreadsheetBench dataset. This performance not only exceeds
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Gemini Google Slides Custom Visual Creative Presentation Tool
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Most AI presentation tools rely on their own rigid templates and structured styles, but ask for something custom and they break. With Gemini in Google Slides, we use a custom translation between Gemini and Slides that fully leverages Gemini’s visual creative abilities while
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Gemini learns Google Docs native data model for enhanced formatting
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While most AI writing tools operate on plain text structured with Markdown, we’re teaching Gemini the underlying data model of @GoogleDocs
. By understanding Docs natively, Gemini generates and edits documents with full-fidelity formatting, fonts, and styles. That’s why when you -

Structured-RAG: Solving Aggregative Queries in RAG Systems
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Standard RAG falls apart on aggregative queries. Things like "average ARR for companies with >1k employees" require reasoning across hundreds of docs, and vector retrieval just can't handle that reliably. We built Structured-RAG to fix this:
– induces a schema from your -

Run Claude Code with local LLMs for free
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Run Claude Code using local LLMs for FREE. No API costs. No data leaving your machine. Here's how it works: Claude Code lets you swap its backend via a single env variable. Point `ANTHROPIC_BASE_URL` to a local llama.cpp server, and it'll route all requests to whatever model
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Mermaid Diagram Tool Adds Zoom and Pan Controls
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I've not found anything I like more than mermaid yet – I added zoom/pan controls to it recently to help deal with a really large diagram https://
github.com/datasette/data
sette-table-diagram?tab=readme-ov-file#usage
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