Turn your stale
alumni list into
your chapter’s
most powerful asset.
With just a roster of names and class year, we build a private database of your network, keep it current, and make every alum findable through AI-powered semantic search.
See the Amherst College HerdSearch page in action.
Do you actually know your own network?
Your roster is a dead spreadsheet.
Scroll it all you want. You can't ask it who became a partner at Sequoia.
LinkedIn alumni search is a maze.
Broken filters, no cross-chapter search, no way to ask in plain language.
Whatever you have is probably already out of date.
Members move, switch jobs, and scatter. Anything you maintain by hand goes stale. Ours refreshes itself.
Here's what full access to your network can do for you.
Get members hired.
You need a Partner at Bridgewater. A PM at Stripe. Someone who broke into biotech without a PhD. Ask in plain English and the right alum shows up. With a reason they match and a way to reach them.
J. Carter '12
Partner · Bridgewater
M. Patel '17
PM · Stripe
T. Okafor '19
Founder · Tessera Bio
A chapter that stays close.
New members see where every alum ended up and can reach them directly. The network stops being a name on a composite and starts being someone who picks up.
The composite, connected
9 members. 6 reachable introductions.
Win rush with receipts.
When a rushee asks where your members actually end up, don't describe the network. Pull it up live, search their industry, and show them three alumni they'd call tomorrow.
From a messy roster to a living network.
Upload your roster.
CSVs, Google Sheets, or your current alumni DB.
Encrypted end-to-end. Only your chapter can see it.
We enrich with current data.
Current roles, companies, cities, and paths, for every member, past and present.
Search in plain language.
Ask anything. Get a ranked list of members and alums who actually match.
The tech, laid out.
From a name and a class year to a complete profile.
- Five anonymized signal sources, queried in order. The waterfall stops as soon as confidence clears threshold.
- Works from inputs as thin as a name and a class year, no email, no LinkedIn URL required.
- Conflicting signals are scored and reconciled into one canonical record per member.
- Re-enriched annually, and on-demand when public signals shift, so the network doesn't drift with every graduation.
Plain-English questions, ranked with reasons.
- Semantic retrieval over a chapter-scoped index. "VCs in NYC" finds "investors in New York" without the exact words.
- Reranked with network signals: class year, chapter, career path proximity.
- Every result ships with a short why-this-match line, so you can trust the top of the list at a glance.
- Tuned for messy asks. No filters, no Boolean operators, no perfect spelling.
FAQ
LinkedIn isn't really searchable. Keyword filters, no plain-language questions, no ranking. We cover your full roster, keep it current, and actually answer what you ask.
A roster. Names and class years are enough. No email drive, no profile nags, no form-building weekend.
Public, anonymized sources, reconciled into one profile per member. Encrypted end-to-end. Only your chapter can see it.
No. The network stays current on public signals, not self-reporting.
We'll walk you through it on the call. Pricing scales with chapter size and what you need.