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Business Insider: inside the Jev hackathon in San Francisco
Business Insider's Stephen Council reports from a Jev hackathon at CodeRabbit's office, where developers said they had woven the model into agents and search tools. The piece cites nearly 40 million launch video views and a Discord server past 100,000 members.
- Format
- Article
- Reading time
- 3 min
- Published by
- Community
- Author
- Stephen Council
- Last verified
- Oct 2026
Highlights
- TypeSafe's launch video from mid-September has racked up almost 40 million views on X, throwing founder Diogo Almeida into the spotlight.
- CodeRabbit design engineer Sourabh Mane called Jev a 'breath of fresh air' at the Saturday hackathon held at his company's office.
- Developer Lawrence Liang said Jev went into 80% of his personal AI agent's code infrastructure at his second Jev hackathon that week.
- Avram Cheaney said adding Jev to his eBay AI search product, JunkDrawer.ai, made it 'drastically cheaper and drastically faster' than LLMs alone.
- Allie Laabs, TypeSafe's developer relations head, said Jev suits classifying support queries and moderating fast-moving chat feeds.
Watch out
Copy reviewed against the article text captured on 2026-10-17; the piece is subscriber-exclusive and the digest carries the visible text. The developer accounts are first-person impressions rather than benchmarks, and the reported $10 billion valuation offers come from The Information, not Business Insider's own reporting.
Questions about this entry
Short answers drawn from the linked project or page.
Reporter Stephen Council attended a Jev hackathon on Saturday at startup CodeRabbit's San Francisco office to find out what the hype was about. He describes the event as something of a coming-out party for the model.
Rather than spitting out text, Jev makes decisions: it takes in questions and rapidly responds with structured answers that include probability estimates of accuracy. The piece also calls it dirt cheap and incredibly fast.
Allie Laabs, TypeSafe's head of developer relations, told the crowd that Jev works best when engineers break down questions into the most specific possible pieces, and that it does well classifying support queries or moderating fast-moving chat feeds.
Lawrence Liang showed a personal AI agent using Jev in 80% of its code infrastructure; Avram Cheaney said Jev made his eBay search product JunkDrawer.ai drastically cheaper and faster; Quintess AI's Jalaja Kurubarahalli hoped to cut lag in maintenance voice tools.
A launch video with almost 40 million views on X, a TypeSafe Discord server with more than 100,000 members, developers already shipping projects, and VCs buzzing around the company; The Information reports some offered to invest at a $10 billion valuation.
She worried beforehand because Jev does not align with how AI is widely understood, where a text box spits out code or answers. She said explaining that a software engineer has to put the model into something helps people understand it.
It is event reporting from one Saturday hackathon: the developer quotes are early personal impressions rather than benchmarks, and the article is subscriber-exclusive, so the captured text may omit some details of the full story.
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