Kinsa

How do you find the signal across 100M+ tokens? @razoreth joins @openinterest_hq to discuss building Defined (@definedfi) and Codex (@trycodex), the data behind apps like TradingView and Coinbase. They cover the pivot that saved the business, how they stayed ahead of scammers, and how five co-founders stayed together through nine days of runway. Key moments: 00:00 Intro to Codex and Defined 01:35 The pivot that saved the business 03:50 What Defined does differently 06:13 Building an all-in-one onchain terminal 07:48 When your customers also compete 08:54 Finding the signal in token discovery 10:25 How trending fights scammers 12:56 Poker, early Bitcoin and the origin story 16:46 Five co-founders and nine days of runway 18:11 Building without managers Open Interest is supported by Kraken (@krakenfx) and Codex (@trycodex)

Where does YieldBasis’s Bitcoin yield actually come from? @newmichwill, founder of @CurveFinance and @yieldbasis, explains how trading activity generates yield and why quieter markets mean lower returns.

What does it take to bring institutions onto Ethereum? @ismimatthew, co-founder of @ethereuminsti, joins Open Interest to discuss the path ahead. Recorded in Singapore during TOKEN2049. Full conversation coming soon.

In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization: 1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically. 2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts. 3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer. 4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things. 5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero. 6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products. 7) AI Overviews reduce clicks to the #1 result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating. 8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time. 9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap). 10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.

Over 1 billion PDFs are created every day, but your agents still can’t read them reliably. Today we’re releasing Parse 2.0, the most accurate document parsing API in the world. Extend already processes millions of pages daily for leading AI teams like Brex, Mercury, Opendoor, Flatiron Health, and hundreds of others. Now, its even better. Parse 2.0 is SOTA quality on RealDoc-Bench, our open source benchmark that measures agent success rate on real world docs that agents actually encounter in production. We trained Parse 2.0 on 1M+ pages of the hardest documents seen in production. Here’s how it stacks up: - #1 in healthcare, real estate, logistics, and financial services - 95.7% agent Q&A accuracy on 581 docs (next best: 92%) - 0.847 F1 on layout (next best: 0.759) Give it a try today and build production-ready document agents with Extend.

We’re partnering with @Samsung, @_GentleMonster_ and @WarbyParker on new intelligent eyewear. Here's a sneak peek at two designs from this fall's upcoming collections. #GoogleIO

The owner of crypto exchange Kraken has agreed to pay $600 million for Reap Technologies, a stablecoin-oriented provider of cross-border and business payments services. bloomberg.com/news/articles/…