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Disclaimer: NOT FINANCIAL ADVICE. The information in this channel is provided for education and informational purposes only, without any express or implied warranty of any kind. https://www.simplicitygroup.xyz
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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
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: 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
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: 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: 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
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 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
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
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
Two Logos Are Not A Partnership:
Crypto loves to use partnerships for marketing, but two logos blasted on a post are not a real partnership.
· Three tests before any deal: do the ICPs actually overlap, is there an integration that creates new revenue rather than visibility, and does the outreach match how the other side buys
Examples of Good Partnerships:
· Securitize x BlackRock: BUIDL passed 2.5bn dollars in AUM and paid over 100m in on-chain dividends, and Securitize turned the relationship into a 47m round led by BlackRock.
· Legion x Kraken: Kraken reserves up to 20 percent of every sale for Legion, and the first sale, Yield Basis, raised 2.5m dollars at a 200m FDV.
Full article here: https://simplicitygroup.xyz/blog/two-logos-are-not-a-partnership
Two Logos Are Not A Partnership:https://simplicitygroup.xyz/blog/two-logos-are-not-a-partnership
We outlined our GTM approach for Digital Asset Businesses:
• Five phases run as a loop: discovery, market penetration strategy, brand growth strategy, then execution on both. Rush discovery and every downstream decision compounds the error
• Four arenas to penetrate, each on its own timeline and stakeholder: ecosystem, partnerships, clients, and capital
• Warm intros beat cold outreach by roughly 10x on reply rate, and that ratio is what makes a small team's pipeline look like a much larger team's
Article Link: https://x.com/SimplicityWeb3/status/2079203209890201973
Swap your name for a competitor's in your positioning statement. If it still reads fine, you do not have a position.
What our article covers
∙ Three frameworks that work in combination: Dunford maps the components, Moore writes the 17-second statement, Ries and Trout choose the category
∙ Hyperliquid, Pendle and Ondo each created a subcategory they were structurally first in rather than fighting for "best L1" or "best DEX"
Article link: https://simplicitygroup.xyz/blog/positioning
GTM Campaign Highlight: Backpack Friday Points
• Backpack pays points every Friday based on that week's trading volume, with ranks that reward frequent repeat trading over a single whale-sized trade, all pointing at a confirmed 25% community token allocation.
• 650,000+ KYC-verified users by October 2025, up from 500,000 in March 2024, and $363B in lifetime volume by January 2026.
Why it worked:
A weekly payout gives traders a reason to come back every seven days, so the reward builds a habit; a one-off airdrop pays once and the activity leaves with it.
Most teams do not have a customer problem; they have an ICP problem.
What our article covers
∙ Forrester: a clearly defined ICP drives 68 percent higher account win rates and roughly 3x sales productivity
∙ Lenny Rachitsky's finding across 30+ B2B founders: winning ICPs use three attributes, no more (how Gong, Snyk and Canva did it)
Article link: https://x.com/SimplicityWeb3/status/2076603304570757145
Bit late on this one, but what happened to Bonk is a simple case of misaligned incentives, where the protocol opted for rewarding malicious behaviour with $20M instead of penalties.
Our Co-Founder Alex talks about what happened exactly, and why DAOs are bad in most cases, and why they should be designed with care in cases where they're good (like Bonk).
Read here: https://x.com/Alex_Fatuliaj/status/2075994201137840498
Dollar Shave Club Launch Video: GTM Campaign Highlight
• Launched with a 90-second YouTube video that cost $4,500, mocking overpriced razor brands and pitching blades at $1 a month
• 12,000 orders in the first 48 hours; 3.2 million subscribers and a $1bn cash exit to Unilever by 2016
It worked because the video was the positioning statement: it named the enemy, the buyer and the alternative in 90 seconds
This shows that businesses should spend on sharpening the message, not amplifying it; a position that clear distributes itself.
