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Otter.ai uses an AI Meeting Assistant to transcribe meetings in real time, record audio, capture slides, extract action items, and generate an AI meeting summary.
Software is great & good to see sales being considered more with CRM integrations. Only pain point is inability to download summaries as PDFs
Based on our record, Ruby on Rails seems to be a lot more popular than Otter.ai. While we know about 143 links to Ruby on Rails, we've tracked only 3 mentions of Otter.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
🌍 Who Should Use HTMX? ✅ Django / Flask / Rails developers ✅ Express / Node.js backend lovers ✅ Fullstack devs who want LESS frontend headache ✅ Teams jo SSR + SEO ko priority dete hain. - Source: dev.to / 22 days ago
Ruby on Rails open source projects. Contribute and learn at the same time. - Source: dev.to / about 1 month ago
Speed of Development: Frameworks such as Django or Rails accelerate the development process. - Source: dev.to / about 1 month ago
This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo. - Source: dev.to / about 1 month ago
Ruby on Rails (RoR) is one of the most renowned web frameworks. When combined with SQL databases, RoR transforms into a powerhouse for developing back-end (or even full-stack) applications. It resolves numerous issues out of the box, sometimes without developers even realizing it. For example, with the right callbacks, complex business logic for a single API action is automatically wrapped within a transaction,... - Source: dev.to / about 2 months ago
Otter.ai: Auto-record, transcribe, and tag meetings. - Source: dev.to / about 2 months ago
We use LLMs to do proofreading and editing of transcripts after they are edited by people. They are good at applying our customer's specific requirements (e.g. capitalization, formatting, etc.) without us having our folks worry about any of that. We use https://transcriberai.com or https://otter.ai/ (there are a bunch) to create the first transcript for our transcriptionists. - Source: Hacker News / 6 months ago
Some good transcription solutions: https://zapier.com/blog/best-text-dictation-software/#windowsspeech https://otter.ai/ (Haven't actually tried Otter, but it gets a LOT of good reviews.). - Source: Hacker News / about 1 year ago
Of course, there are many existing solutions like Otter.ai or Fathom in the market. But in case you want to build a tool yourself and customize the output of it, then you are on the same page as me. To develop this application, we will use Unbody to convert input video transcriptions into intelligence/generative content and Appsmith to make it easy to design and build the UI of our app without extensive front-end... - Source: dev.to / over 1 year ago
This is weird but I wonder if you could use something like https://otter.ai/. Record your notes as you are going. That should give you at least text of all of your welds. You’d still have to punch it later. Seems like there’s got to be a better way to do this. Stopping every time to break your flow sounds like a huge pain in the ass. Curious what you come up with. Source: over 1 year ago
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