The team behind tl;dv may have been nervous about their launch yesterday, but they made a splash and blew a few minds with their introduction video.
tl;dv 1.0 provides a better way to catch up on notes post-meeting.
“[W]e found that it always takes way too much time to repeat and contextualize every important live meeting insight and takeaway, especially without the context, the emotions, or the visuals… in most cases, we still (have to) join too many live meetings out of FOMO.” - Raphael Allstadt, maker
With tl;dv, you can link your meeting minutes to the exact moment in your video recording & transcript. It works as a Chrome extension, and other core features include one-click record, video transcriptions (English so far), and share functions to popular apps and CRMs like Slack, Salesforce, and Notion.
The company is focusing on Google Meet to start, with “Zoom coming very soon.” It’s worth noting that tl;dv has a few competitors in this space, which is white-hot after remote and hybrid workplaces blew up over the last year and a half. For example, Google Meet users may be familiar with Otter.ai, and in Zoom land, Grain has been enjoying a great year and launched an update earlier this year.
It’s also clear from the community response that many people are hungry for better meetings.
“I've been waiting for a product like this for ages! Working in customer success, keeping track of notes in video calls is an absolute mess.” - Andrew Mertell
“It basically replaces the scrubbing bar and changes the game for how to take notes too.” - Daniel Giovacchini
"This is going to be so useful, congratulations on your launch. No more wall-of-text meeting notes!" - Blake Hunsicker
See what all the hype is about.
As you’re headed out this weekend, Beach Nearby may come in handy. As Ryan Hoover put it:
“This is like AllTrails for beaches. I'm into it.”
![Newsletter Sponsor](https://ph-files.imgix.net/50c28863-eb37-4693-9aaa-48ae656ad0d0.jpeg?auto=compress&codec=mozjpeg&cs=strip&auto=format&fit=max)
Whether you are building a startup or adding to a data-intensive application, taking advantage of cloud data platforms and machine learning (ML) technologies is key to innovating and gaining a competitive advantage. Snowflake and AWS are bringing you a series of DevDay events to show how to build data-intensive applications with ML.
In this lab, you’ll have the opportunity to:
- Prepare data and create a temporary database clone in Snowflake
- Train a machine learning model using Amazon SageMaker
- Push model into production that writes inference results in Snowflake
Join them on July 15 to learn how to deploy modern machine learning models on Snowflake and AWS.