AI-driven pre-production tool for quick and efficient podcast planning
Hey, we are Arthur, Pascal, and Jochen, the founders of si:cross. We have created a web application to manage your podcast pre-production. Research and episode structuring are some of the most time-consuming tasks but also crucial for successful podcasts. We help you with that and keep track of your podcasting activities, so you don't run out of ideas and can keep your audience engaged. You can sign in and create your first show right away at https://app.sicross.com. We started by building a solution for secure company internal podcast distribution, which is why we have a web…
What it does
In the maker’s words, at launch
Hey, we are Arthur, Pascal, and Jochen, the founders of si:cross. We have created a web application to manage your podcast pre-production. Research and episode structuring are some of the most time-consuming tasks but also crucial for successful podcasts. We help you with that and keep track of your podcasting activities, so you don't run out of ideas and can keep your audience engaged. You can sign in and create your first show right away at https://app.sicross.com. We started by building a solution for secure company internal podcast distribution, which is why we have a web application for content creation and a mobile app for listening. During our corporate work at SAP, we experienced that most of the issues faced in business are related to communication issues. By talking to quite a few companies, we realized that there's a high interest in using podcasts internally and externally to improve communication, but the biggest challenge for them is how to plan a proper podcast. si:cross helps podcasters develop their initial show structure based on a simple idea. With the built-in AI support, si:cross proposes episodes for the show and continuously generates new ones to support the ideation process. Different Kanban boards provide a quick overview of what's already scheduled, what's in process, and what topics still need some more research. Our Research notes feature comes with AI-supported episode structure proposals. You can adjust the proposed structure or add your own thoughts until you're satisfied with the episode outline and then use it as your script during recording. After you record an episode, getting feedback and clear instructions on where to cut is essential. Our comment feature after recording or uploading your episode makes that really easy by giving you the related timestamp with one click. We built the current features to be most useful during the pre-production process, but si:cross also comes with its own mobile app, audience management, and analytics feature. We are using a serverless stack on AWS for all our backend components complemented by React and React Native for our frontend solutions in both browsers and mobile apps respectively. Our data storage originally relied on DynamoDB, but due to the difficulty of managing our evolving data structure amidst changing requirements, we migrated to an SQL database over time. To keep efforts manageable, we looked for a one codeline solution to serve both iOS and Android mobile applications and decided to go with React Native. Each account comes with a free trial plan. After the trial ends, you can activate a paid plan for AI support, an additional producer, a co-show owner, and an increased listener count or simply continue with the free plan. If you ever wanted to start a podcast or want to improve your podcast management, we'd love to get your feedback!
Does the same job
all alternatives →
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, May 2023
the whole month →
- BR
In today's world, catchy headlines and articles often distract readers from the facts and relevant information. By utilizing OpenAI's language models, Boring Report processes sensationalist news articles, transforms them into the content you see, and helps readers focus on the essential details. We recently updated our iOS app experience, so any and all feedback would be appreciated. App Link: https://apps.apple.com/us/app/boring-report-news-by-ai/id644...
AI · 2023 · boringreport.org
Momentum Page▲834Launch your website in seconds, get users in minutes
Dev tools · 2023 · page.mmntm.build