Otter.ai
Fireflies.ai
Descript
Notta.ai
HappyScribe
Sonix.ai
Trint
TurboScribe
Clojure
Elixir
Python
Rust
Haskell
NIM
JavaScript
Kotlin
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.
We recommend LibHunt Clojure for discovery and comparisons of trending Clojure projects.
Otter.ai ClojureSoftware 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, Clojure should be more popular than Otter.ai. It has been mentiond 42 times since March 2021. 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.
Work meetings can be exhausting, especially when they run back-to-back all day. You need to switch between topics while staying focused. Taking notes of colleaguesโ speeches and agreements helps, but it isnโt easy. Colleagues can speak very fast, and whether you're typing or writing by hand, keeping up is hard, and handwritten notes can be illegible or lost entirely. AI tools for transcription, like Otter.ai... - Source: dev.to / 3 months ago
Dedicated Assistants: Tools like Otter.ai or Fireflies.ai act like an extra participant in the meeting. They join the call, record the audio, transcribe it, and, crucially, identify who said what. This is invaluable for follow-up. - Source: dev.to / 6 months ago
Otter.ai: Auto-record, transcribe, and tag meetings. - Source: dev.to / over 1 year 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 / over 1 year 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 2 years ago
One of the most famous talks in computer science is Simple Made Easy by Rich Hickey, The creator of the programming language Clojure. In it, he explains that, "simple" and "easy" are not the same thing. He refers to the word origins of the two words:. - Source: dev.to / about 1 month ago
This series of post will try to explain a complex topic: concurrent and parallel programming, in Dart. I think the only way to deal with that is using the Erlang VM (BEAM), but Clojure and other functional languages are usually doing better job on this part. Unfortunately, to me, most of other languages using OOP don't offer a great abstraction to concurrency and parallelism, but during the last decade, things are... - Source: dev.to / 3 months ago
Oversimplifying, there are three big variants: Common Lisp, Scheme, Clojure. Each of them has a lot of somewhat similar implementations: * Clojure: A lot of support for immutable data. It runs in the JVM so you will have a lot of the libraries you are use to. Probably the best option for you. https://clojure.org/ * Scheme, in particular Racket: Mostly functional, and in particular Racket has a lot of support to... - Source: Hacker News / about 1 year ago
Another project of mine Bob can be seen as an example of spec-first design. All its tooling follow that idea and its CLI inspired Climate. A lot of Bob uses Clojure a language that I cherish and who's ideas make me think better in every other place too. - Source: dev.to / over 1 year ago
Clojure is a LISP for the Java Virtual Machine (JVM). As a schemer, I wondered if I should give Clojure a go professionally. After all, I enjoy Rich Hickey's talks and even Uncle Bob is a Clojure fan. So I considered strength and weaknesses from my point of view:. - Source: dev.to / over 1 year ago
Fireflies.ai - Record, transcribe and search your calls
Elixir - Dynamic, functional language designed for building scalable and maintainable applications
Descript - Text-based audio editor and automated transcription
Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
Notta.ai - Automatically turn audio into editable, searchable and sharable text. Notta helps unleash the power of voice and brings your productivity to the next level.
Rust - A safe, concurrent, practical language
