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For my work I've developed a web-based Monte Carlo simulator with a visual, node-based editor for building supply chain models. Last week, I started making it available for everyone.

You can have a look at https://simcarlo.com. The tool allows you to see the full spectrum of potential outcomes instead of just a single guess.


Focus on what other's have to say. The rest will follow.

However, the thing that really helped me, is to actually focus on telling a story or anecdote. A story should have a single insight and it should be about you, something that changed the way you think, or something that has been funny or profound.

The best books on that is Storyworthy by Matthew Dicks.


Looks very interesting. I'll have a look


I love whisper. It is so easy to use. I created a small pipeline that transcribes podcasts within the domain that I'm working in. It helps me and my colleagues to revisit and find podcasts episodes without having to listen to them again. You can check it out on podcasts.farmonapp.com


This is really interesting. I am looking at doing something similar. Do you mind me asking what the Back-end API call is written in? I had looked at Deepgram and might try putting a small project together.


It is all written in Python and it uses the original python bindings. I'm using mkdocs to convert the transcripts into a website.


Would love to have a service which allows me to search through all podcasts I’m consuming. There are so many times that I have some anchor knowledge but I cannot remember where I’ve heard it the last time and cannot find it back.


You may be interested in Andrej Karpathy's experiment with OpenAI's latest STT Whisper model. Relevant tweet here: https://twitter.com/karpathy/status/1574474950416617472

By the way, if you are looking for a clean podcast consumption experience, do give a try to https://jkstream.com. Easy way to subscribe to your favorite podcast interviewers and guests.


When that happens, how can you be sure that it is something you heard on a podcast? Maybe it was something you heard in a YouTube video. Or read in a Medium post. What I’m saying is, wouldn’t a real solution to the problem you’re describing require access to all forms of verbal media that you are consuming?


That's probably true. I guess we have to start somewhere. I do agree with thimm I often reference a podcast but forgot which one. Being able to query the exact time a topic is discussed in a podcast does sound valuable.

Do you know of a solution that aims to solve this problem?


If its something read in a post on the internet then its usually easy enough to find by typing the parts you remember into google. But I agree, I have occasionally wished that youtube made the closed captions of youtube videos searchable for this reason.


Time for YT to up their caption game.


Steamship is happy to support a company looking to develop this!


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