LinearB VS AssemblyAI
Compare LinearB VS AssemblyAI and see what are their differences
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LinearB
Waydev
Swarmia
CodeClimate
GitPrime
Haystack Analytics
Codacy
SonarQube
AssemblyAI
Deepgram
Speechmatics
Eleven Labs
Vapi
Google Cloud Speech API
Express Scribe
Descript
Build powerful AI experiences for your end users on the industryโs leading speech-to-text models.
The API offers high-accuracy transcribing and understanding accented speech, even with background noise or in a natural conversation. AI models are easy to integrate and always up-to-date. Join over 200,000 developers building with AssemblyAI and get started with $50 in free transcription credits.
LinearB AssemblyAILinearB is recommended for software development teams, engineering managers, and project managers who want to improve visibility into their development processes, reduce cycle times, and boost overall productivity. It's particularly useful for teams that rely on agile methodologies and need to continuously monitor and improve their workflow efficiency.
AssemblyAI is recommended for software developers, businesses, and enterprises that require transcription services, real-time audio processing, or want to implement AI-driven analytics on audio content. It's particularly suitable for industries like media production, call centers, education, and any other sector that relies heavily on audio data.
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Based on our record, LinearB should be more popular than AssemblyAI. It has been mentiond 28 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.
LinearB is an engineering productivity platform that provides visibility into developer workflows, automation, and process metrics. It collects data across the entire development lifecycle to diagnose blockers and optimize delivery. One user reports saving 321 developer-hours per month. - Source: dev.to / 3 months ago
Most tools measure half the picture. Traditional metrics platforms like LinearB focus on quantitative signals (DORA metrics, cycle time). Survey platforms like Culture Amp capture sentiment across organizations but aren't developer-specific. DX (founded by DORA/SPACE research creators) combines developer surveys with SDLC analytics. These approaches require deliberate implementation and buy-in. - Source: dev.to / 8 months ago
LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / over 2 years ago
In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / about 3 years ago
LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 3 years ago
Itโs about valueโsaving time, money, and effort. Traditional transcription services charged $1-2 per audio minute. Imagine needing 10 hours transcribedโthatโs $600 to $1,200, just to get your words on paper. With tools like Assembly AI charging $0.015 per minute (thatโs $0.90 for an hour), the cost drops dramatically. For companies dealing with large volumes of audio, this is a game changer. - Source: dev.to / over 1 year ago
The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 3 years ago
Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 4 years ago
AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 4 years ago
Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 4 years ago
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Deepgram - Search engine for speech
Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
Eleven Labs - The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling.