The Intersection of Technology and Fundraising Tactics

So, let's make this concrete between us.

What happens if the most painful, inefficient parts of raising money get rebuilt with the same tech founders are already great at using?

Then we're not talking tweaks.

We're talking overhaul.

And the starting line, at least from what I'm seeing day to day, is AI and discovery.

Who you even pitch and why.

Right.

The old play was brute force, a giant untargeted list of VCs and a prayer.

I'm guessing you did the spreadsheet marathon too.

Oh, absolutely.

I burned a whole weekend on 200 names, convincing myself an investor's thesis from one tweet from three years ago meant something actionable, brutal.

Now these AI tools say they don't just find investors.

They surface the right ones.

Portfolios, check size.

But also the language they use in interviews.

Not just titles.

Intent.

Exactly.

Instead of a cold roll call, you get a ranked list of people who repeatedly back your shape of company.

That flips how the first note lands.

You're offering relevance, not just asking for time.

My worry is data quality.

Is this just a fancy scrape of LinkedIn and Crunchbase, or is it surfacing non-obvious links? Garbage in, garbage out.

The entry-level products, mostly what you described.

The stronger ones layer semantic analysis on top.