
Introd
Your Network is Your Networth
You probably have 1,000+ connections.
But how many would actually take your call?
That question is why we started building Introd.
🧠 What we’re building
Introd is a relationship intelligence engine.
It maps your network, scores relationship strength (TrustRank), and finds the best path to any introduction—not just the obvious one.
Because here’s the truth:
The intro that changes your life is usually 2–3 hops away
You just can’t see it.
📉 The problem nobody talks about
Your network is quietly decaying.
Relationships lose ~15% strength per year without contact
That “strong connection” from 2 years ago? Probably cold now
Most founders only realize this when they need something
That’s when intros don’t land.
🔗 What actually works (from our data)
We’ve seen this across hundreds of founders:
Cold outreach → ~2% response rate
Weak warm intro → ~20–30%
High TrustRank intro → 60–70%+
Same person. Same pitch.
Different path → completely different outcome.
🤖 Where AI comes in
We’re building an AI Chief of Staff for your network.
It:
Surfaces who you should reach out to
Finds the strongest intro paths
Nudges you before relationships decay
Drafts intro messages for you
All running quietly in the background.
🚀 Why I’m sharing this
We’re building Introd in public.
That means:
Sharing what works (and what doesn’t)
Breaking down real fundraising + networking tactics
Showing how AI can actually be useful in day-to-day work
If you’re a founder, investor, or operator—this stuff compounds.
🙏 If this was useful
If you’re into:
Better networking (not fake LinkedIn advice)
Fundraising playbooks that actually work
AI tools that save time instead of wasting it
Consider supporting the build ☕
Or just follow along—I’ll keep sharing everything.
About
Introd connects people to investors, customers, and hires to help their business grow.

1 Comment
The interesting tension is whether relationship strength can actually predict intro outcomes, rather than just make the network easier to visualize. Curious what progress you’re seeing with Introd so far — are early users getting more successful warm intros, or is proving that correlation still the harder part?