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Дописи каналу
We recently signed a GameFi project for a tokenomics audit that we immediately ran through our modelling tool.
Even with a low FDV of $10M, their token never really recovered because they simply don't have enough users that would buy the token.
Few solutions:
1. Launch at an even lower FDV
2. Wait until you have more users
3. Take lessons from the trenches and pump token price up similar to a memecoin with real utility
You'll see what we went with later.
Check the tool out in the mean time: https://tokenomics.simplicitygroup.xyz/
| 2 | TOKENOMICS TOKENOMICS TOKENOMICS
There is some hubbub on the streets that utility tokens are slowly making a come back.
From BTC holding $75k (now $85k) despite FOMC, Clarity Act, Iran war and oil impacting macro markets globally, to the remaining 8 people in crypto getting increasingly tired of pure pump and dumps (from memecoins to MegaETHs and Arcs), it's clear money is flowing into Bitcoin as arguably the only asset (besides gold) that isn't a pile of garbage.
But, money flows, and will likely continue to flow down into other blue chips and new utility tokens that are backed by real product.
If you're launching a token or considering it, we're offering quick free audits over a 15 min call - you pitch me, I point out red flags, and you decide if you want to solve them yourself or with our help. DM @Alex_Simplicity | 130 |
| 3 | Just because you identified an ideal customer profile (ICP), doesn't mean they'll buy from you right now. You need to also find a trigger.
Most define an ICP via the following:
- Industry
- Employee count
- Location
- Company stage
- Job titles, etc.
But they do not explain why a buyer acts now. A proper ICP also defines the trigger.
e.g. imagine you're selling payments infra:
🟡 Decent ICP: blockchain SMBs in the UAE market
🟢 Better ICP: blockchain SMBs in the UAE market that just hired a new CFO
Then you can personalise your outreach to talk about problems the old CFO faced and how you can solve them. | 228 |
| 4 |  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. | 417 |
| 5 |  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 | 388 |
| 6 |  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. | 350 |
| 7 |  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. | 329 |
| 8 |  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. | 320 |
| 9 |  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. | 371 |
| 10 |  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. | 336 |
| 11 |  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 | 317 |
| 12 |  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. | 315 |
| 13 |  Global Al Assistant
Monthly Active Users | 297 |
| 14 |  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 | 299 |
| 15 |  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 | 395 |
| 16 | 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 | 1 |
| 17 |  Немає тексту... | 423 |
| 18 |  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 | 449 |
| 19 |  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 | 435 |
| 20 |  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 | 395 |
