
Adobe Podcast
AdCreative.ai
Glambase
Munch
Descript
Captain
ChatGPT
TutorAI
Cachely.dev
nxCloud
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
Adobe Podcast
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Based on our record, Adobe Podcast seems to be more popular. It has been mentiond 31 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.
Try using Adobe Podcast. It'll clear up and BG noise and echo. I use it for all my videos and its a lifesaver https://podcast.adobe.com/. Source: over 2 years ago
Adobe Podcast | https://podcast.adobe.com | New York City, Bay Area, Remote | Full Time The Adobe Podcast team is looking for a Senior Software Engineer with a passion for creating great product experiences. Be part of a tightly knit team developing cutting edge innovations in the world of audio on the web and help define the future of this medium as it takes over the world. Senior Software Engineer, Web Audio... - Source: Hacker News / almost 3 years ago
Thank you for sharing! On a tangent: I'm wondering if there are any good open source models/libraries to reconstruct audio quality. I'm thinking about an open source alternative to something like Adobe Podcast [1] to make noisy recordings sound professional. Anecdotally, it's supposed to be very good. In a recent search, I haven't found anything convincing. In my naive view this tasks seems much simpler than audio... - Source: Hacker News / almost 3 years ago
Should you long term... NO... Can you short term to get the mic-ball rolling... yes!! Here is what I would offer up. Take the recording and either clean it up in audacity (if you know how) OR. go to https://podcast.adobe.com/ drop your vocal audio track(s) in there and they will clean it up for you for free. Up to 1.5 hrs. that way you get the best possible outcome within your starter budget. Source: about 3 years ago
Ahh, ok. Unfortunately, if that's the case, I'm afraid there's no turning back. If it's dialogue (and you're unhappy with the result) you might try running it through Adobe Podcast Enhance (podcast.adobe.com) The AI can sometimes repair artifacts from denoising, while delivering a very clean-sounding VO. Worth a shot (if it's a voice file). Source: about 3 years ago
AdCreative.ai - Give your business an unfair advantage with creatives / banners generated by highly trained Artificial Intelligence.
nxCloud - nxCloud is a commercial OwnCloud provider
Glambase - The Glambase platform provides the ability and the tools to create, promote, and monetize AI-powered virtual influencers.
Munch - Munch is a group dining decision making app. End the back and forth discussion about what to eat.
Descript - Text-based audio editor and automated transcription
Captain - Discover what's trending and follow hashtags