The Free Framework We Use to Protect Your LP Data
How we ship faster, break less, and protect your LP data better than platforms charging 500x more by using a free framework from the guy who runs Y Combinator.
How LP Blueprint runs its platform, and why it matters for your data
There’s a guy named Garry Tan. He runs Y Combinator, the startup accelerator that launched Airbnb, Dropbox, Stripe, and over 4,000 other companies.
He’s one of the most respected eng minds in Silicon Valley. He made a framework for how small technical teams should build software without breaking things. He published it publicly. We use it, and so can you.
Here’s what it means in plain English for you as a fund manager:
Every change to our platform goes through a checkpoint before it goes live. No one on our team, including us, can push an update directly into the live product. Every single change, no matter how small, goes through a review and approval step first. It’s sort of like a wire transfer that requires two signatures.
Why does this matter for your LP data? Because the alternative is what happens at most startups, someone makes a change at 11pm, pushes it live, and suddenly your data’s f****** up and nobody knows why. We’ve built a system where that physically cannot happen.
This discipline is also why, when we had a data integrity issue, yesterday, March 30, where one data source was contaminating another, we caught it, owned it publicly, and retracted the article within 3 hours.
No spin. No silence, no b*******.
We filed a P1 bug report, documented the exact code path that failed, and are building the engineering gate that should have caught it before it ever reached publication. The pipeline failed. We didn’t hide it.
If you received that article and acted on those figures, I'm sorry. The data was wrong and it had your name attached to it. That's on us, not you.
We were already mid-build on our entity resolver when this happened. The incident surfaced the gap faster than our build schedule did.
One workstream at a time. Our team doesn’t run parallel changes simultaneously. This prevents two people from accidentally overwriting each other’s work, one of the most common ways SaaS platforms quietly f*** up data without anyone noticing.
The result: Today our team shipped 9 updates, ran a clean data backfill, onboarded 3 customers, and classified 719 LP entities, all before 1pm, with zero production incidents and full ability to reverse any change if something goes wrong.
Most LP data platforms you’re paying $15,000–$50,000 a year for don’t have this.
We do, at $99/month. That’s not a coincidence. We did this as a process decision. And if you want to run the same discipline inside your own IR operation, Garry’s framework is sitting there waiting for you, completely free.
While we’re on the topic of free resources:
If you’re a newer fund manager still building your LP outreach infrastructure, two things worth bookmarking right now:
First, this list of 20 databases and LP lists covers free and low-cost ways to source Family Offices, LPs, and FoFs. It’s a solid starting point before you need the firepower of our Vault.
Second, VC Conf is happening today. It has a free live stream, 100+ VCs, angels, LPs, and Family Offices in Zoom breakout rooms. If you’re raising or want to get in front of allocators without buying a plane ticket, it’s worth a few hours of your time.
Neither of these replace a real data infrastructure. But if you’re early on your own fundraising journey, they’re a good place to start.