InnMind

InnMind

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⚡️Empowering Web3 builders: Fundraising + PMF + Traction. 🌍Bridging Startups, VCs, and Service Providers in the Web3 realm.

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Treat the deck as a diagnostic for the economic engine, not a script.

We saw a Web3 infra startup pitch for 6 months. Zero term sheets. Same team. Same tech. We cut 4 slides and rewrote the hook around money saved. Result: 3× more investor calls in 3 weeks. Story + framework 👇

$10M is a solid war chest, but how much of that is allocated to actual user acquisition versus just 'product scaling'? In Web3, the 'intuitive' hurdle is usually GTM, not just tech. Founders: if you're eyeing a similar round, make sure your data room is bulletproof first.

Investor attention keeps shrinking. 2022: ~3:40 per deck 2024: ~2:47 2026: ~2:14 78% never reach slide 6. Your deck is a sorting tool, not a storybook. How to win slides 1–3 👇

Why is it that everyone talks about transparency but 99% of founders still can't explain their own emission curves or VC sell-pressure? On-chain logic is the only way to kill the hype and see real traction. If this maps token lock-ups vs. actual movement, it's a game changer.

Solid raise, especially with a16z and Coinbase in the mix. But for the founders watching this: how much of that $8.5M is already earmarked for actual GTM vs. just engineering? Raising is the start, not the finish. What's your play for capturing early AI user traction now?

Is the design really what’s holding you back, or is it the structure? A pretty deck won't save a weak narrative. If you need a framework that actually converts VCs, try using a battle-tested template first. It saves you the 'joki' cost and keeps your data secure.

Impressive reach for a single day, but how are you planning to convert those 110k impressions into a qualified investor pipeline? Since you're diving into the deck today, make sure your traction slide clearly connects this hype to actual PMF. Don't waste the momentum.

Ease of launch is great, but how are these founders managing the math? Removing heavy lifting on the tech side is step one, but if the tokenomics are broken, no launchpad can save the cap table. Are they using actual modeling tools or just guessing emissions?

How many founders waste 6 months building a 'ghost' product before realizing nobody gives a damn? Validation is about selling the problem, not the code. If you can't close $10k with 3 slides, no amount of features will save you. This is the ultimate GTM masterclass.

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