
Speechmatics
Deepgram
Fraim
AssemblyAI
LumenVox ASR
Lilyspeech
Vocaroo
Speechnotes
LinearB
Waydev
Swarmia
CodeClimate
GitPrime
Haystack Analytics
Codacy
SonarQube
Speechmatics exists to understand every voice. Offering its speech-to-text API engine for solution and service providers to integrate into their stack irrespective of their industry or use case. Businesses use Speechmatics around the world to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect or location.
Speechmatics
LinearBLinearB 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.
No LinearB videos yet. You could help us improve this page by suggesting one.
Based on our record, LinearB seems to be a lot more popular than Speechmatics. While we know about 28 links to LinearB, we've tracked only 2 mentions of Speechmatics. 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.
If propeietary/SaaS fits your use case I can reccomend Speechmatics. Has a wider range of languages than a lot of the competition: https://speechmatics.com (Full disclosure I'm an engineer there). - Source: Hacker News / 7 months ago
Have you tried https://speechmatics.com/ ? I think they have a specially tuned medical version, and quite a generous free allowance. - Source: Hacker News / over 3 years ago
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
Deepgram - Search engine for speech
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with oโฆ
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.
AssemblyAI - Robust and Accurate Multilingual Speech Recognition
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.