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☕ Building Introd in Public: The Hidden Layer of Your Network

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.

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Introd
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    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?