u/versasius

I’ve been building a GTM Strategy system designed to go beyond the usual “define your ICP and post on LinkedIn” AI advice.

It takes context about your startup and works through positioning, ideal customers, acquisition channels, messaging, launch strategy, and an actionable GTM plan.

Before I turn it into a paid product, I want to test it with 10 real founders.

What you get:
→ A GTM strategy built specifically around your startup
→ ICP + positioning recommendations
→ Recommended acquisition channels
→ Messaging and launch approach
→ Prioritized actions for getting your first/next customers

Cost: Free.

What I need in return is honest feedback: what was useful, what was generic, what was wrong, and what you’d actually implement.

If you’re building or planning to build something right now and want to participate, comment “GTM” or DM me.

First 10 founders only.

Hey Base builders,

I’m working on Agaemon, the public release of AgentOS Kernel.

The idea is simple:

>AI proposes. Policy decides. Accounts execute.

As more teams experiment with AI agents that can prepare transactions, call contracts, manage protocol workflows, or trigger operational actions, there is a missing trust boundary:

Before an AI agent can move assets or call a contract, what proves that the action is actually allowed?

Agaemon is focused on that layer.

It is not an agent framework, wallet provider, relayer, or generic smart account. It sits between agent intent and EVM execution, turning proposed actions into policy-gated, capability-constrained, reviewable execution packages.

Right now the proof is Base Sepolia testnet. No mainnet readiness claim, no live-funds claim, no “autonomous trading” framing.

What we are looking for:

• Protocol developers who want an AI-agent execution review layer
• Teams building agent workflows that need policy gates before execution
• Base projects that want a testnet integration
• Builders who want us to create an adapter or proof flow for their protocol
• Anyone thinking about how AI agents should safely interact with contracts

A good first integration could be something narrow:

• treasury action review
• protocol parameter update proposal
• rewards or payout workflow
• allowlisted contract call
• agent-generated transaction batch
• operator-reviewed execution package

The goal is not to give an AI model unchecked wallet authority.

The goal is to let agents propose useful onchain actions while deterministic policy, capability limits, and verifier evidence decide what can actually proceed.

If you’re building on Base and want Agaemon integrated with your protocol, drop the protocol name and the workflow you’d want tested.

Happy to build the first few integrations publicly on Base Sepolia and share the proof artifacts.

Hi 👋 everyone,

I’m 34M from Pune and entrepreneur currently building products at the intersection of artificial intelligence, blockchain, and autonomous agents.

Over the past few months I’ve been focused on developing projects around AI agents, smart contract automation, decentralized infrastructure, and real-world business applications rather than just chasing hype.

My strength is on the technical side like designing systems, building products, and turning ideas into working software. I’ve built open-source AI 🤖 agent policy framework MVP for blockchain protocols.

Where I need help is business development.

I’m looking for someone who genuinely enjoys networking, partnerships, customer discovery, fundraising conversations, and opening doors. Someone who understands both AI and blockchain (or is actively learning) and wants to help shape a company from the ground up.

If you’ve been wanting to work on ambitious AI + blockchain products but don’t have a technical co-founder, we might complement each other well.

If this sounds interesting, send me a DM with a bit about yourself, what you’ve worked on, and why this space excites you.