We built a free token modelling tool to let you simulate your token price based on some tokenomics and buy pressure inputs.

It runs a Monte Carlo simulation and showcases price, revenue, buy/sell pressure, emissions, and other useful data.

Try it out here: https://tokenomics.simplicitygroup.xyz/
Video how-to: https://www.youtube.com/watch?v=dy0aFYTV_lQ

Over 2,000 investors have invested in a crypto round since January 2025, yet only around 250 have done five or more deals.

We our sharing our internal tool that we've used to help our clients raise $2M+ in the last 3 months.

Our Investor Matchmaker Tool helps:

🟢 Benchmarks against 2,500+ announced rounds: median, percentiles, where your target.

🟢 Finds the 12 most suitable lead targets, funds that have priced rounds in your category, ranked by recency and size fit.

🟢 Suggests the strongest 15 follow-on targets.

Try it: investor-match.simplicitygroup.xyz
Full walkthrough: simplicitygroup.xyz/blog/crypto-investor-matching-tool

GTM Engineering Explained

GTM engineer is a role that did not exist in 2022. Now LinkedIn carries more than 3,000 open roles, up 205% in a year but what is GTM engineering?

We explore:
∙ What is GTM engineering?
∙ The economic implications that allowed GTM engineering to become established.
∙ What the future holds for GTM engineering.

Read the full article here: https://simplicitygroup.xyz/blog/what-is-gtm-engineering

The GTM Engineering Tech Stack, Layer by Layer

A working GTM engineering stack costs from $300 to $1,500 a month. An enterprise version of the same six functions costs more than $200,000 a year.

So what explains the gap, and which tools actually belong in each layer?

We explore:
∙ The six layers of a GTM engineering stack, and the tools that dominate each one.
∙ Real August 2026 pricing, and the drawback every tool tries to hide.
∙ Three working stacks, from bootstrap to enterprise.

Read the full article here: http://x.com/SimplicityWeb3/status/2087196283916198219

GTM Engineering: Data Enrichment

A single data provider verifies an email for 55 to 70% of a B2B list. Chaining three or four in sequence takes that to 92%.

So how do you build a contact database that reaches your whole market?

We explore:
∙ Why the build starts with the ICP definition, not the list.
∙ What waterfall enrichment actually costs, per email and per phone number.
∙ Why coverage is regional, and how fast contact data decays.

Read the full article here: https://x.com/SimplicityWeb3/status/2087875055241805914

GTM Engineering: Signals and Routing

Cold email replies average 3.43%. Campaigns built on buying signals report 15 to 25%. So which signals are worth watching, and how do you route them before they decay?

We explore:
∙ The public-record signals almost nobody watches: SH01 filings, Form Ds, certificate transparency logs and trademark applications.
∙ Why the tools named inside a job advert tell you more than the job title does.
∙ How to route each signal to the right lane before it goes cold.

Read the full article here: https://x.com/SimplicityWeb3/status/2089326564265635874

GTM Engineering: Outbound

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?

We explore:
∙ Why filtering protects the 0.3% spam complaint ceiling and gives segment tests trustworthy data.
∙ How 6 to 8 weeks of team-led LinkedIn content makes multi-threaded outreach familiar before the ask.
∙ Why targeted ads come third, after email and LinkedIn show which accounts deserve paid frequency.

Read the full article here: https://x.com/SimplicityWeb3/status/2091852729408774376

Cryptos 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.

GTM Engineering: 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://x.com/SimplicityWeb3/status/2089326564265635874

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.

AI vs Crypto Venutre 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.

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 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 Crypto.com market sizing reports.

Stablecoins vs 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.

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://x.com/SimplicityWeb3/status/2089326564265635874

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.