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4,145 ideas

Will my flight have Starlink?

Hey HN, If you’ve been lucky enough to be on a flight with Starlink, you understand the hype. It actually works!However, its availability on flights is patchy and hard to predict. So we built a database of all airlines that have rolled out Starlink (beyond just a trial), and a flight search tool to predict it. Plug in a flight number and date, and we'll estimate the likelihood of Starlink on-board based on aircraft type and tail number.If you don’t have any trips coming up, you can also look up specific routes to see what flights offer Starlink. You can find it here: https://stardrift.ai/starlink .-I wanted to add a few notes on how this works too. There are three things we check, in order, when we answer a query:- Does this airline have Starlink?- Does this aircraft body have Starlink?- Does this specific aircraft have Starlink?Only a few airlines at all have Starlink right now: United, Hawaiian, Alaskan, Air France, Qatar, JSX, and a handful of others. So if an aircraft is operated by any other airline, we can issue a blanket no immediately.Then, we check the actual body that's flying on the plane. Airlines usually publish equipment assignments in advance, and they're also rolling out Starlink body-by-body. So we know, for instance, that all JSX E145s have Starlink and that none of Air France's A320s have Starlink. (You can see a summary of our data at https://stardrift.ai/starlink/fleet-summary, though the live logic has a few rules not encoded there.)If there's a complete match at the body type level, we can confidently tell you your flight will have Starlink. However, in most cases, the airline has only rolled out a partial upgrade to that aircraft type. In that case, we need to drill down a little more and figure out exactly which plane is flying on your route.We can do this by looking up the 'tail number' (think of it as a license plate for the plane). Unfortunately, the tail number is usua

Hacker News6mo agoToolAI

60FL score
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Kita (YC W26) – Automate credit review in emerging markets

Hey HN! We’re Carmel and Rhea, the founders of Kita (https://www.usekita.com/). We automate credit review for lenders in emerging markets using VLMs.In many emerging markets, like the Philippines and Mexico, credit infrastructure is weak. Open finance is still nascent, and credit bureaus are unreliable. So to apply for a loan, lenders rely on borrowers submitting documentation to understand their ability to repay. A borrower can submit financial documents, such as bank statements and payslips, in any format, from pdfs, images of physical documents and screenshots. On top of that, financial documents in these markets are highly unstandardized, with no consistent templates lenders can rely on.Existing OCR and document AI tools break on these highly variant, messy real-world documents. Generic tools are not built for lending workflows like verification, fraud detection, and risk extraction. As a result, credit teams fall back on manual review, making underwriting slower, more expensive, and more error-prone.We met before college and stayed best friends. After graduating, Rhea visited Carmel in the Philippines, where we heard firsthand from fintech operators that document-based underwriting was their biggest pain point. We started building together and tested every OCR and document AI tool we could find. They all failed on the messy real-world documents lenders actually receive, and even when extraction worked, they still could not produce the structured financial data or fraud checks lenders needed.The problem was even bigger than we thought. Across Indonesia, Mexico, the Philippines, South Africa, and even in the US, most of lending can be boiled down to credit analysts looking at documents. In 2025, 13.3T was lended globally, and 90% of those transactions involved document review. This includes in developed markets.Kita uses VLM-based agents to parse documents, detect fraud, and extract underwriting signals from messy financial files. Today, we support

Hacker News6mo agoToolAI

76FL score
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