
Web3 BD | Medical Student I help projects grow from scratch. Building on @syfx_ai | BD @pitchorialabs
Joined March 2024
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What are Go to Market (GTM)strategies?
These are plan and the method a project uses to introduce its product into the market. It is don't to attract users, customers, build a community and generate revenue.
Dash🔶 retweeted
Pi teaming up with Axis Robotics on physical AI is actually a solid move for the network.
Most crypto projects stay stuck in pure digital stuff or just farming hype. This one puts Pi into the robotics data side, helping generate the training data robots need to actually do things in the real world. Axis already has people collecting that data through browsers and phones, and now they’re working on technical integration with Pi so the whole thing can scale together.
For Pi that means real utility instead of just mining and holding. More reasons for the community to actually participate, more on-chain activity if data or contributions get recorded, and outside validation (Sible’s CEO even called Pi Ventures one of the more effective blockchain VCs right now because of deals like this).
It’s not a magic overnight pump, but it’s the kind of real world use case a lot of projects never get.
Good to see them pushing in that direction.
You aren't sure
How can I be sure that if I send you some $TWC tokens, you won’t sell them straight away?
I have talked about the first GTM strategy among the ones I posted earlier on LinkedIn check it out.
lnkd.in/p/eVQkRRdJ
Dash🔶 retweeted
What are Go to Market (GTM)strategies?
These are plan and the method a project uses to introduce its product into the market. It is don't to attract users, customers, build a community and generate revenue.
6. Token Incentive Alignment
This is for: DeFi Protocols, New Tokens and Projects with heavy liquidity.
Why?
Use of smart airdrops or liquidity mining help solve a project's cold start problems.
Dash🔶 retweeted
Your success in life has almost nothing to do with how many times you lose, but only with how much you win when you win.
So go big. You only have to get it right once.
Dash🔶 retweeted
One of the strangest things about venture capital is how much time investors spend trying to predict the future and how little time they spend checking their old predictions.
Every year, VCs publish their big predictions.
The future of AI. The next trillion-dollar market. The industries about to be disrupted.
Some of these predictions are genuinely insightful.
Most are forgotten within six months.
Here’s an idea.
Every VC who publishes their predictions for 2027 should first publish how their 2026 predictions turned out.
What did you get right?
What did you completely miss?
Which companies or markets did you think would explode that went absolutely nowhere?
And most importantly, did you actually invest based on those predictions?
Because there’s a big difference between predicting that AI will change everything and putting your own capital behind a specific company before everyone else figures it out.
I love a good market thesis.
But a thesis without accountability is basically a horoscope with a pitch deck.
And the venture industry already has enough people getting paid to sound smart.








