This was a great team. Sad to see they had to shut down.

I don't know anything about the startup/VC world, but does anyone have insight on why this failed? It seemed to be one of the highest profile TTS projects and I thought money was just pouring into AI startups.

Some insights from one former lead: https://erogol.com/2024/01/09/goodsandbadsofopensource

TLDR: Making money from open-source is hard.

Hey HN, I’m one of the authors of Sirji, an open-source AI software development agent (implemented as a VS Code extension).

I’ve been collating feedback from our early users and this post is about all that’s (currently) broken.

While most of these issues are unique to Sirji, a few are also common to other AI agents.

Some are easy fixes while a few others might be quite hard to get right.

Hi HN! OP here.

Backstory: I work remotely and one thing I miss is the brainstorming sessions. That’s what got me to build drunk startups, a new team-building activity by Thursday.

In this activity, your team breaks out into smaller groups and ideates over absurd prompts like delivering pizza to International Space Station. You put your best ideas onto the whiteboard and later pitch those to the entire team.

Let me know your feedback/suggestions.

OP here. I launched Thursday on PH yesterday (Thursday) and shared our metrics publicly. These include unique visitors (by the time of the day), browser, OS, and countries. I also added conversion data.

Thursday is a simple web app with no sign-up, so our conversion metrics will differ from most other products. So yes, your mileage will vary. But I believe the traffic could be a good indicator of what to expect from a PH launch. Now, that too might vary by the day of the week.

I'm getting the traffic data from Amplitude, and the conversion-related data from our database.

Here's the link without the pay wall: https://www.wsj.com/articles/silicon-valley-tech-startup-fou...

Hello HN! We are Nishith and Deepa and we built Listener as an easy way to bookmark the important moments of your Zoom calls in real time and turn long recordings into short video clips.

Last year while working on another product, we were doing customer interviews on Zoom. We were recording all these meetings, but then what? It was simply too painful to go back and rewatch those one hour long recordings to get to that one point that we wanted to share or remember. That was the genesis of Listener.

We quickly built a proof-of-concept but it took a while to refine the flow and make it a seamless experience. Now you can easily integrate Zoom with Listener, host a Zoom meeting, record it and start live bookmarking on Listener in a small browser window alongside Zoom. Behind the scenes, Listener processes the live video stream coming from Zoom, transcribes it and creates 20s short clips around your bookmarks. Later on, editing these short clips is as easy as editing a word doc.

It’s currently on the web and the one constraint right now is that it works only with paid (pro/business/etc) Zoom accounts. This is because we are using Zoom’s live streaming feature to receive the video stream. We are working simultaneously on an electron based desktop app to support the free Zoom users who are recording meetings on their computer, but our desktop app is still quite raw. Let us know in the comments here if the support for the free Zoom account is important to you and we will prioritise it accordingly.

And if you are curious, the web app is built using the MERN stack plus GraphQL and Elasticsearch. Our transcript+video-editor is built with SlateJS. We are using Gatsby and Strapi for the marketing pages.

Listener is free for a month and we are personally onboarding new users. We'd love to get some feedback on whether you would find this useful or if there are any general comments or concerns.