🦄 Crunch #041: Turn your Google Drive Folders into Knowledge Centers, Better Computer Vision Models and Datasets
If this newsletter was forwarded to you, please grab a free copy here. Tap the banner to open the article in web view. 🇺🇸 kbee: Turn your Google Drive folders into an organized knowledge base. (Founded 2020, Total Funding Amount: bootstrapped) How it worksTurn your existing Google Drive folders and files into a professional wiki. The wiki comes with a full-text search across all of your content. Edit and collaborate on your wiki articles without leaving Google Drive. The MetricsStripe verified metrics, including weekly, monthly, and yearly revenue growth. The TeamBased in San Francisco, US, co-founded by Sai Arora and Sandeep Dinesh.
“Google Docs is the genesis of all of our help center articles already. Instead of copying them over to another Help Center tool, we figured why not build a help center on top of Google Docs.” — Kbee team The backstoryWe built Kbee to cut out the endless copy & paste, and publish a full Google Drive folder as our help center. Since our initial launch, we discovered folks using Kbee to power their internal wikis, customer help centers, employee onboarding processes, and more. Kbee is the perfect tool to turn content you already have into a professional wiki or help center in just a few clicks. Sponsored ByThis post was brought to you by 🇬🇧 Leave Me Alone. Leave Me Alone is a new way to receive mail with Rollups. Rollups are a powerful way to reduce your overflowing inbox into just a handful of email digests curated by you and delivered on your schedule. Are you interested in becoming a sponsor? Fill in this short form and pick a package, and I’ll get in touch with you. 🇧🇪 Segments.ai: Build better computer vision models by building better datasets. (Founded 2020, Total Funding Amount: undisclosed seed) Segments.ai is a platform for computer vision experts to iterate more quickly between data labeling, model training, and failure case discovery.
How it worksVisualize and compare ground truth labels and model predictions. Investigate where your model is working well and where it is failing. Find failure and edge cases through confidence scores and embeddings.
On top of that, segment.ai has a unique pricing model. It’s called Labeling-as-a-service solutions. In a nutshell, it’s similar to pay-as-you-go pricing models.
The Team
The backstoryWe believe in an iterative approach — A well-curated dataset is more important than a fully optimized model. We help you to curate your data better by leveraging your model predictions in an iterative approach. Our mission is to help you build better computer vision models. 🏁 You’re all set!Startups Crushing It! is a newsletter about early-stage (before series A) technology startups. I look for strong positive signals using the FPTM model: Founders — Product — Traction — Mission. I interview the founder(s), toy around with products, crunch numbers, and based on that, I decide which startups to feature. If you want more, you can dig through the archives for the previous digests. Support me by forwarding it to a friend, and let them know they can subscribe here. Thanks for subscribing to Startups Crushing It! This post is public, so feel free to share it. |
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