Find anyone you've ever met, the way you actually remember them
You know the person you need. You just can't find them. "The fractional CFO I met at that dinner in Austin." "Someone at Stripe, or who used to be at Stripe." "The investor who mentioned she was looking at healthcare AI." Public information tools can't answer questions like these. They know job titles, not how you know someone. Goodword searches everything you've captured: your connections, your groups, your notes, your meetings, your messages.
Type into the search bar the way you'd ask a friend. Goodword figures out what you mean and returns people, groups, notes, and reminders in one ranked list.
How it works
Search in plain language. No filters to configure. Queries like these all work:
"founders in New York who raised recently"
"people I went to school with who now work in venture capital"
"ex-Google product managers"
"people I know at McKinsey"
"designers I've worked with"
"the note about the Denver conference"
Goodword searches a person's whole history, not just their current job. Someone who left Figma two years ago still shows up for "people at Figma," marked as past so you know the difference. Search understands "ex-," "former," and "alumni" and filters accordingly.
Every result tells you why it matched. A small label on each result ("Works at Figma," "Studied at MIT," "Ex-Google") shows the exact reason that person surfaced, so you can trust the list without clicking into every profile.
Your notes and groups are searchable too. If you wrote "met at Sarah's wedding, kids the same age, exploring a startup idea" on a contact, searching "startup idea wedding" finds them. That level of detail doesn't exist in any public profile. It's yours, and now it's searchable. Groups come back as well: search "fundraise" and you get the investors in your network, the group you built for the raise, the notes where fundraising came up, and the reminder you set to send that deck.
Filter by real attributes. Company size, industry, seniority, and funding stage all work as search criteria: "seed-stage founders," "senior marketers at mid-size companies."
Turn results into action. From any search you can:
Save the results as a group. Search once, keep the list forever.
Share the results as a group. Send the list to someone else, no Goodword account needed on their end (see the Groups article).
Open any person and draft outreach from their profile with full relationship context.
What people use it for
Build your investor pipeline from people you already know. Before your raise, search "seed investors in my network" and save the results as a group. Then ask AI chat to draft custom outreach for each person in the group, each message built from your shared history, ready to edit and send. You'll find warm paths you forgot existed, and warm intros close where cold emails don't.
Find your next client inside your existing network. Your best engagements come from people who already know your work. Search "founders who raised recently," "CEOs I've worked with," or "ex-colleagues who are now operators" and you have a call list of people who would take your call today. When a prospect mentions their company, search the company name. You may already know their board member.
Answer "who do you know in ___?" in thirty seconds. That question is half your pipeline. Search "people in fintech," "CMOs in my network," "e-commerce founders," then save it as a group and share the link so the asker can browse and request intros themselves.
Find who you know in a city before you travel. "People I know in Nashville" turns a work trip into three coffees. Run it before you book the flights, not after you land.
FAQ
Do I have to learn a search syntax? No. Write what you'd say out loud. Goodword's AI interprets it (company, role, location, seniority, past vs. present) and builds the query for you.
What does Goodword actually search? Everything you have connected: your LinkedIn connections and DMs, email and calendar contacts, Granola meeting notes, Luma events, imported CSVs, and every note you've written or Goodword has captured. The more sources you connect, the better search gets.
Why did someone show up for a company they don't work at anymore? That's intentional. Past affiliations are often exactly what you're looking for ("ex-Stripe"). The match label on the result tells you whether it's a current or past match. To search only past employees, say so: "former Stripe employees."
Can I search by when I met someone? You can ask Goodword's chat things like "who did I connect with on LinkedIn in 2023" or "my newest LinkedIn connections."
Can I save a search? Save the results as a group, and turn on the group's auto-update. New people who match the criteria get added automatically. That's better than a saved search: it maintains itself.
Someone I know isn't showing up. Why? They're probably not in a connected source yet. Check that LinkedIn (or the source you know them from) is connected in Settings → Integrations, or add them manually. Newly added contacts can take up to 24 hours to appear in Goodword.
Next: connect one more data source. Every source you add makes every search better. Then see Your daily Goodword for where search fits in your routine.