𝗧𝗵𝗲 𝗧𝗼𝗸𝗲𝗻 𝗘𝗰𝗼𝗻𝗼𝗺𝘆
Google's monthly token volume rose from 9.7 trillion in May 2024 to 3.2 quadrillion in May 2026, a 330-fold increase. It reached 480 trillion by May 2025 and 980 trillion by July.
Sources: Google I/O and Alphabet earnings disclosures.
𝗛𝗼𝘄 𝗟𝗼𝗻𝗴 𝗕𝘂𝘆𝗶𝗻𝗴 𝗦𝗶𝗴𝗻𝗮𝗹𝘀 𝗦𝘁𝗮𝘆 𝗪𝗮𝗿𝗺
A pricing-page visit stays warm for days and calls for same-day human follow-up. A funding round or SH01 filing stays warm for one to two quarters, so the signal should determine the outreach cadence.
Read our deep dive here: https://t.co/iAQ4IWkOgP
Cold email replies average 3.43%. Campaigns built on buying signals report 15 to 25%, and the gap is targeting rather than copy.
So which signals are worth watching, and how do you route them before they decay? https://t.co/YGC5cpp8NZ
𝗦𝘁𝗮𝗯𝗹𝗲𝗰𝗼𝗶𝗻𝘀 𝘃𝘀 𝘁𝗵𝗲 𝗖𝗮𝗿𝗱 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀
Adjusted stablecoin transfer volume reached $10.2 trillion, within 4% of Mastercard. Stablecoins now operate at card-network scale, although transfer volume is not consumer payment volume.
Sources: Visa Onchain Analytics and company filings.
𝗔𝗜 𝘃𝘀 𝗖𝗿𝘆𝗽𝘁𝗼 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻
ChatGPT grew from 1 million users after launch in 2022 to more than 800 million weekly users in 2025, exceeding an estimated 741 million crypto owners.
Sources: OpenAI and https://t.co/t0uTbqANUI market sizing reports.
𝗚𝗹𝗼𝗯𝗮𝗹 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗠𝗼𝗻𝘁𝗵𝗹𝘆 𝗪𝗲𝗯 𝗩𝗶𝘀𝗶𝘁𝘀
ChatGPT recorded 5.6 billion web visits in May 2026, more than the other six assistants shown combined. Gemini was second at 2.9 billion, while Claude ranked third at 952.6 million.
Source: Similarweb, May 2026.
𝗔𝗜 𝘃𝘀 𝗖𝗿𝘆𝗽𝘁𝗼 𝗩𝗲𝗻𝘁𝘂𝗿𝗲 𝗙𝘂𝗻𝗱𝗶𝗻𝗴
AI venture funding reached $386 billion in H1 2026, versus $8 billion for crypto, a roughly 48-fold gap. In 2022, the sectors raised $45.8 billion and $30 billion respectively.
Sources: Crunchbase and Galaxy Research.
𝟲 𝗤𝘂𝗶𝗰𝗸 𝗪𝗮𝘆𝘀 𝗧𝗼 𝗜𝗺𝗽𝗿𝗼𝘃𝗲 𝗬𝗼𝘂𝗿 𝗚𝗘𝗢
Before rewriting for AI search, check whether assistants can reach your pages. Here's 6 tips on the fundamentals to improve your GEO.
Sources: OpenAI, Perplexity, Microsoft and Google.
𝗪𝗵𝗲𝗿𝗲 𝗕𝘂𝘆𝗶𝗻𝗴 𝗦𝗶𝗴𝗻𝗮𝗹𝘀 𝗦𝘂𝗿𝗳𝗮𝗰𝗲
The earliest useful buying signals are often public records, not intent data. A trademark filing can reveal an unlaunched product 2 to 12 months early, while a new subdomain shows that infrastructure is already being built.
Read our deep dive here: https://t.co/iAQ4IWkOgP
Cold email replies average 3.43%. Campaigns built on buying signals report 15 to 25%, and the gap is targeting rather than copy.
So which signals are worth watching, and how do you route them before they decay? https://t.co/YGC5cpp8NZ
💹 The API for Polymarket 👉 @structbuild
They give agents, traders, and builders an API for real-time and historical prediction market data.
We make sure it’s real-time, reliable, and available on every chain with industry-leading RPC and WebSockets 😉
Read the story 👇
💹 The API for Polymarket 👉 @structbuild
They give agents, traders, and builders an API for real-time and historical prediction market data.
We make sure it’s real-time, reliable, and available on every chain with industry-leading RPC and WebSockets 😉
Read the story 👇
𝗖𝗿𝘆𝗽𝘁𝗼'𝘀 𝗧𝗼𝗽 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗼𝗿𝘀 𝗶𝗻 𝟮𝟬𝟮𝟲
Hyperliquid generated $28.4 million per employee, 2.5 times Tether and nearly 24 times Circle. Its 12-person team shows how far software operating leverage can stretch.
Sources: DeFiLlama, CoinGecko, company filings and company data.
@i_mika_el Interesting, targetted ads from our side should only be used once you have ICP nailed down and noticed some form of intent otherwise you can burn cash.
6sense found buyers first contact their eventual vendor 81% of the time, after completing roughly 70% of the process alone.
How should you sequence email, LinkedIn and targeted ads to reach the buying group before it decides? https://t.co/2w2lCQJMz6
Hiring signals decay fast but a company is 2.5 times more likely to buy new software in the first 90 days of new staff. Also the alpha of hiring for GTM engineering is in the application as opposed to the listing (which tooling do they want prospects to use ect).
Depends on the scope and signal type but we try to use custom scripts.
Cold email replies average 3.43%. Campaigns built on buying signals report 15 to 25%, and the gap is targeting rather than copy.
So which signals are worth watching, and how do you route them before they decay? https://t.co/YGC5cpp8NZ
A working GTM engineering stack costs $300 to $1,500 a month. The enterprise version of the same six functions runs past $200,000 a year. https://t.co/OfZ5PhUSBV