๐ง๐ต๐ฒ ๐ง๐ผ๐ธ๐ฒ๐ป ๐๐ฐ๐ผ๐ป๐ผ๐บ๐
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.
๐๐ผ๐ ๐๐ผ๐ป๐ด ๐๐๐๐ถ๐ป๐ด ๐ฆ๐ถ๐ด๐ป๐ฎ๐น๐ ๐ฆ๐๐ฎ๐ ๐ช๐ฎ๐ฟ๐บ
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
๐ฆ๐๐ฎ๐ฏ๐น๐ฒ๐ฐ๐ผ๐ถ๐ป๐ ๐๐ ๐๐ต๐ฒ ๐๐ฎ๐ฟ๐ฑ ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐
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.
๐๐ ๐๐ ๐๐ฟ๐๐ฝ๐๐ผ ๐๐ฑ๐ผ๐ฝ๐๐ถ๐ผ๐ป
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.
๐๐น๐ผ๐ฏ๐ฎ๐น ๐๐ ๐๐๐๐ถ๐๐๐ฎ๐ป๐ ๐ ๐ผ๐ป๐๐ต๐น๐ ๐ช๐ฒ๐ฏ ๐ฉ๐ถ๐๐ถ๐๐
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.
๐๐ ๐๐ ๐๐ฟ๐๐ฝ๐๐ผ ๐ฉ๐ฒ๐ป๐๐๐ฟ๐ฒ ๐๐๐ป๐ฑ๐ถ๐ป๐ด
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.
๐ฒ ๐ค๐๐ถ๐ฐ๐ธ ๐ช๐ฎ๐๐ ๐ง๐ผ ๐๐บ๐ฝ๐ฟ๐ผ๐๐ฒ ๐ฌ๐ผ๐๐ฟ ๐๐๐ข
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.
๐ช๐ต๐ฒ๐ฟ๐ฒ ๐๐๐๐ถ๐ป๐ด ๐ฆ๐ถ๐ด๐ป๐ฎ๐น๐ ๐ฆ๐๐ฟ๐ณ๐ฎ๐ฐ๐ฒ
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
๐น The API for Polymarket ๐ @structbuild
They give agents, traders, and builders an API for real-time and historical prediction market data.
We make sure itโs real-time, reliable, and available on every chain with industry-leading RPC and WebSockets ๐
Read the story ๐
๐น The API for Polymarket ๐ @structbuild
They give agents, traders, and builders an API for real-time and historical prediction market data.
We make sure itโs real-time, reliable, and available on every chain with industry-leading RPC and WebSockets ๐
Read the story ๐
๐๐ฟ๐๐ฝ๐๐ผ'๐ ๐ง๐ผ๐ฝ ๐ฅ๐ฒ๐๐ฒ๐ป๐๐ฒ ๐๐ฒ๐ป๐ฒ๐ฟ๐ฎ๐๐ผ๐ฟ๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฒ
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