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YC’s latest demo day showcases fascinating bets in healthcare, chip design, artificial intelligence, and more

The second half of Y Combinator’s Winter 2024 series debuted Thursday, once again bringing dozens of new startups in front of much of the venture capital world. As we did on Wednesday, some TechCrunch staffers watched the entire presentation and picked some favorites to highlight.

While we’re out shopping for a few more pots of coffee, check out our favorites from round two of the Y Combintor demo. work!

TechCrunch Staff Favorites


  • What it can do: Let electrical engineers design circuit boards using code
  • Why it’s loved: Much of the electrical engineering work on the circuit board is done through the GUI. who knows? Not this writer, which is why Atopile immediately piqued my interest. The startup, co-founded by Matt Wildoer, Timothée Peter and Narayan Powderly, aims to bring design reuse, version control and automation to hardware design – aspects the trio claim are severely lacking in existing design tools. Instead of forcing electrical engineers to draw schematics by hand and verify every tiny change on a test bench, Atopile uses a custom programming language to capture the product’s requirements and build and verify the necessary manufacturing documents from there. pretty.
  • Who chose: Kyle


  • What it can do: A platform for veterinarians to practice
  • Why it’s loved: So, as I discovered after a cursory Google search (or some), platforms for running a veterinary business are not new. but, Scritch co-founders Claire and Rachel Lee say what sets them apart is their heavy reliance on automation. Scritch handles scheduling, billing and clinical workflow as well as inventory management and care coordination.Additionally, the platform supports veterinary clients by filing insurance claims on their behalf – which sounds like a Very This is an attractive feature for this future pet owner.
  • Who chose: Kyle


  • What it can do: Postgres vector search tool
  • Why it’s loved: If you know anything about the world of artificial intelligence, you must have heard of vectors. For example, companies like Semi have raised significant funding for their own open source vector database software. Lantern sells hosted Postgres vector databases on its Lantern Cloud. The pitch is that their product is cheaper than similar products from AWS. I continued my search for startups that might make a lot of money from the AI ​​boom, and I added Lantern to the list.
  • Who chose: Alex


  • What it can do: Artificial intelligence agents for task automation
  • Why it’s loved: There is a lot of talk about using artificial intelligence to replace workers performing repetitive tasks. What’s even more interesting in the near future is how AI tools can help these workers get more done, faster. This is what Paradigm has built from a human-computer interaction perspective for marketing and sales marketplace use cases. I spent enough time with business development reps and account executives to know that the market for this technology could be huge.
  • Who chose: Alex

just words

  • What it can do: GenAI helps companies write better
  • Why it’s loved: Just Words founder Neha Mittal discovered while working at Twitter and Pinterest that small word changes in user-facing communications could have a big impact on engagement rates. This aligns with what I learned about writing online. The startup’s plans to bring similar boosts to customers could prove popular. I chose it as my favorite because it fits perfectly with a theme I’ve noticed since the rise of ChatGPT and similar services: people hate writing. They don’t want to do this! So tools to help people not write are going to be big.
  • Who chose: Alex


  • What it can do: Build applications and optimize them based on text prompts
  • Why it’s loved: Two things I love about this. First, it generated $47,000 worth of monthly recurring revenue ($564,000 ARR) from 140 customers in less than a quarter. So much, so quickly. Secondly because it describes an interactive approach to application development, where you answer questions and it encodes your ideas. I’m downloading Visual Studio to give it a try, but the concept itself is very appealing to someone like me who hasn’t really coded since high school. (Later that day, Marblism shared a related pitch, and I’d be remiss if I didn’t include it here.)
  • Who chose: Alex

Commodity Artificial Intelligence

  • What it can do: Artificial Intelligence Shipping Management for Commodity Trading
  • Why it’s loved: Trading goods involves cross-border communication, strict compliance with import laws and a lot of paperwork. CommodityAI’s mission – to bring all the invoicing and paperwork involved in merchandise transactions online and add a collaboration layer on top – makes perfect sense. This seems like a big improvement compared to parties having to call each other in other countries to double-check numbers and data on paper documents if they can find them.
  • Who chose: Becca


  • What it can do: Partnering with clothing retailers to allow shoppers to try on clothes virtually
  • Why it’s loved: I don’t like buying clothes online because it’s hard to predict how something will look on me and sending packages back is a pain. Kopia hopes to help consumers imagine how clothing will fit through avatars that mimic the person’s body shape. Other startups have tried the virtual fitting room idea, but I still haven’t seen these tools on shopping sites. Will Kopia’s products interest retailers? It’s hard to say, but I hope they or another company can sort this out because I really need to update my wardrobe.
  • Who chose: pier

nursing weather

  • What it can do: Get more accurate weather data using low-cost planar satellites
  • Why it’s loved: Getting the weather forecast correct is important because severe weather can affect people, buildings and supply chains. I really like that this company is not only trying to make weather forecasts more accurate, but doing so by building cheaper satellites. The company says its technology can predict weather outcomes 17 times more accurately than existing systems — a lofty statement. Even if it’s not as accurate as the startup claims, I’d love anything that can better help me predict when my building’s basement will flood.
  • Who chose: Becca


  • What it can do: Infrastructure for corporate card issuer processing and core banking in sub-Saharan Africa
  • Why it’s loved: Sub-Saharan African technology is less common among startups. Technology is even less common for B2B companies located in the region. Building out fintech infrastructure so the company can issue cards or even just file expense reports seems like a smart foundation for the company to attract customers and then expand into other fintech products. The technology Miden is developing is clearly popular: The startup says it’s already profitable and has strong traction so far.
  • Who chose: Becca

Oma Care

  • What it can do: Help pay for home caregivers.
  • Why it’s a favorite: The nursing market is growing, and there is a huge opportunity and need to make this daunting experience a little easier. I like this app because research shows that caregiving responsibilities often fall on women, as they are more than twice as likely to be caregivers than men. In most cases, they are not paid for it, and according to statistics, women’s unpaid labor worldwide is worth more than $10 trillion. I welcome anything that tries to solve this problem, and I’m excited to see more innovation in this space.
  • Who chose: Dom


  • What it can do: Second-hand fire equipment market
  • Why it’s loved: What a great idea! Outfitting a firefighter costs thousands of dollars, so it seemed smart to create a way for these departments to get gear without spending a lot of money. This is especially true considering you don’t want budget concerns to prevent your fire station from providing the safest gear for firefighters. Sometimes, good technical ideas aren’t complicated.
  • Who chose: Becca

Click one

  • what it can do: Time tracking and billing powered by AI for lawyers
  • why it is a favorite: PointOne co-founder Adrian Parlow, a former Fenwick & West attorney, said one of the worst parts of being a lawyer is having to track time in six-minute increments. I’m not a lawyer or a paralegal, but I imagine calculating how much of an hour each client has is tedious and time consuming. PointOne claims that advances in artificial intelligence can automatically generate timesheets by capturing work done on attorneys’ laptops and computers. I’m a big fan of any app that takes the busy work out of a professional’s life. Now can anyone calculate the filing fees?
  • who chose: Marina

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