The moment it happens
Spot VIP registrants from their answers
Slack tells you when a registrant looks like an investor or founder, based on what they wrote.
- Runs
- The moment it happens
- Apps
- Luma
- AI
- Yes, uses the built-in AI allowance
- Access
- calendar API key
Send this to your assistant
Create a ClickRuntime automation: when someone registers on Luma, have AI sort their answers into investor, founder, student or other, and message me in Slack about investors and founders.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Event organizers who use Luma often add questions to the registration form: company, role, what do you want to learn. With a hundred registrants that is a wealth of information, but nobody reads it all. The investor, the potential customer or the speaker's biggest fan is hiding in the list, and the host only finds out when they meet at the door, or never.
When someone registers, Luma sends an event to ClickRuntime. The built-in AI reads the answers to your registration questions, decides whether the person looks like a high-value guest according to the criteria you describe, and, if so, sends a notification. You hear about an interesting registrant while there is still time to reach out.
It suits community managers, founders hosting dinners and sponsors who want the right people in the room.
What you get out of it
The right guests are noticed
A decision-maker at a target company who registers in the morning can be invited to a private pre-event dinner by afternoon. Without the alert, they would pass through unnoticed. Those relationships often shape the whole event.
Hosts spend time on people, not spreadsheets
Reading every registration answer is slow work. Letting the AI read them all and flag the exceptions leaves you with a short list of people worth a personal message. That frees up time for real conversations.
Sponsors and partners get better introductions
Knowing who is attending lets you introduce sponsors to the people they came to meet. That makes the event more valuable and makes sponsors more likely to return. That makes your next sponsorship conversation easier.
Criteria stay consistent
The same description of a high-value guest is applied to every registrant, so the first and the last are judged by the same standard. Human reviewers tire and apply rules inconsistently.
Capacity decisions improve
For events with limited seats, you can see who deserves one before the event fills up. That helps you manage approvals with a clear idea of who you want to attend.
How it works
What happens, step by step
When a guest registers for one of your Luma events, Luma tells ClickRuntime straight away.
AI reads the guest's registration answers and labels them as an investor, founder, student or other.
If the guest looks like an investor or founder, a message appears in your #events Slack channel with their name, email and answers.
Everyone else is left out, so the channel only shows the guests worth a closer look.
Before it runs live
- Connect Luma
- Paste your automation's link into the other app's webhook settings
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Act only on the items that match your own rules, and skip the rest
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Luma steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_event, ai, notify
@on_event
def handle(event):
body = event.json or {}
if body.get("type") != "guest.registered":
return {"skipped": True}
g = body["data"]
answers = "\n".join(f"{a.get('label')}: {a.get('value_text') or a.get('answer')}" for a in g.get("registration_answers") or [])
label = ai.generate(f"Registration answers:\n{answers[:1500]}",
system="Classify this person as exactly one word: investor, founder, student or other.",
max_output_tokens=5).text.strip().lower()
if label in ("investor", "founder"):
notify.slack(f"⭐ {label.title()} registered for {g['event']['name']}: {g.get('user_name')} ({g.get('user_email')})\n{answers}",
channel="#events")
return {"label": label}FAQ
Common questions
How do I tell it what a high-value guest is?
Does it work if I only ask for name and email?
Where does the notification go?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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