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Granola.so
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Granola is an AI-powered notepad that makes taking and using meeting notes a breeze. It blends your own typed notes with smart transcription to capture every detail effortlessly. With its deceptively simple design and advanced AI features, Granola ensures your meeting notes are not just recorded, but actually useful.
Unlike AI meeting bots, Granola notes are still your notes. Granola starts with what youโve written, cleans it up, and fleshes it out. This means you end up with notes that you can trust and others can understand, with a fraction of the effort.
Using Granola drastically reduces the time you spend writing and cleaning up notes, freeing you to be more present and focused on what matters.
Key Features โญ๏ธ
๐ Your notes + AI = beautiful notes: Jot down key points and let Granola handle the details, so you can stay pay attention to the meeting, not the keyboard.
๐ผ Context-Aware Summaries: Granola tailors your notes based on the type of meetingโwhether itโs a job interview, sales call, or investor pitch.
๐ Clear Differentiation: Your input is shown in black, while AI-generated content is in gray for easy distinction.
๐ Structured Notes: Granola automatically adds hierarchy and structure, with the flexibility to format notes as you prefer.
๐ Transparency: Use the โZoom Inโ feature to see the exact quotes your notes are based on.
๐ GPT-4o Integration: Built-in OpenAIโs GPT-4o for additional context-aware assistance and tasks.
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For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 3 months ago
Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await โ no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 4 months ago
**_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - โSave this dataโ - โGet this dataโ - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 6 months ago
Import time Import requests Import asyncio Import aiohttp Urls = [ 'https://example.com', 'https://httpbin.org/get', 'https://python.org' ] # Synchronous version Def sync_fetch(): for url in urls: response = requests.get(url) print(f"{url} fetched with {len(response.text)} characters") # Async version Async def async_fetch(): async with aiohttp.ClientSession() as session: ... - Source: dev.to / 9 months ago
Granola | London, UK | On-site | https://granola.ai Granola is an AI notepad for people in back-to-back meetings. Our macOS app takes your meeting notes and combines them with a transcript to get an awesome meeting summary. And increasingly, Granola is a new kind of knowledge-base. We're 15 people working in lovely Shoreditch office. See our approach to early-stage product development:... - Source: Hacker News / over 1 year ago
Granola | London, UK | On-site | https://granola.ai Granola is like Apple notes, but it also transcribes your meeting to enhance your notes. We recently raised $20M and we're growing quickly. Stack: TypeScript, React, Electron, AWS, macOS, various LLM tech. We're eight friendly people working in a Shoreditch office. We're product-focussed generalists. See our approach to early-stage product development:... - Source: Hacker News / over 1 year ago
Granola | London, UK | Full-time | On-site | https://granola.ai People in back-to-back meetings use Granola to write summaries using their transcripts and raw notes. We're backed by top investors (Lightspeed, AI Grant) and growing quickly. Stack: TypeScript, React, Electron, Node.js, AWS, native macOS APIs, various LLM tech. Seven friendly people working in a Shoreditch office. We're product-focussed generalists.... - Source: Hacker News / almost 2 years ago
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Fireflies.ai - Record, transcribe and search your calls
C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation
Fathom - Financial intelligence and performance reporting
