Never Miss a Local Meetup Again! 🚀

This is a submission for the Runner H “AI Agent Prompting” Challenge

What I Built

I built a “Local Meetup/Club Discoverer” workflow using Runner H that automates the tedious and time-consuming process of finding new local interest groups an…


This content originally appeared on DEV Community and was authored by Seb

This is a submission for the Runner H "AI Agent Prompting" Challenge

What I Built

I built a "Local Meetup/Club Discoverer" workflow using Runner H that automates the tedious and time-consuming process of finding new local interest groups and events.

it solves is the challenge of staying informed about new and relevant community activities.

Demo

https://x.com/i/status/1941882936694804961

How I Used Runner H

Here's a breakdown of how Runner H's capabilities were leveraged:

Autonomous Web Navigation: Runner H was instructed to navigate directly to Meetup.com (and potentially other community forum URLs).

Dynamic Form Interaction: I leveraged Runner H's capacity to identify and interact with dynamic web elements. This included inputting search terms into the "interests" field, entering location data

Intelligent Data Extraction: Runner H was tasked with extracting specific data points from the search results, such as group/event titles, descriptions, dates, locations, member counts, and direct URLs.

Structured Output Generation: Finally, Runner H was directed to compile all the extracted, filtered data into a well-organized spreadsheet (e.g., Google Sheet).

Instructions to Replicate the Workflow:

To replicate this workflow, you would provide Runner H with a prompt similar to the one below.

Prompt for Runner H:

"Discover new local meetup groups and events.

Inputs:

  • Interests: [Comma-separated list of interests, e.g., "hiking, board games, coding meetups"]
  • Location: [City, State/Province, Country, or Zip/Postal Code, e.g., "Cape Town, Western Cape, South Africa"]
  • Radius: [Distance and unit, e.g., "25 miles" or "40 km"]

Workflow:

  1. Go to Meetup.com.
  2. For each specified interest, search for groups and events within the given location and radius.
  3. Identify groups or events that appear new or have recent activity (e.g., events posted or updated in the last 30 days, or upcoming events).
  4. Extract the following details for each relevant finding: Group Name / Event Title, Description, Date & Time (for events), Location, Number of Members / Attendees, Link to the Meetup.com page, and any relevant Tags/Categories.
  5. If possible, also search prominent local community forums (e.g., [mention specific forum names if known, otherwise general search]) for similar new group or event announcements and extract relevant details.
  6. Filter out irrelevant or inactive entries.
  7. Compile all collected data into a structured table, with columns for all extracted details, and indicate the source (Meetup.com or specific forum). "

Use Case & Impact

For Individuals Seeking Community:

Newcomers to a City: Helps quickly integrate into a new environment by finding relevant social and professional groups.

Hobbyists & Enthusiasts: Effortlessly discover new clubs or events for niche interests (e.g., "vintage camera repair," "Dungeons & Dragons campaigns") that might be hard to find otherwise.

For Community Organizers & Businesses:

Event Planners/Marketers: Gain insights into the local event landscape, identify popular interests, and discover potential collaboration opportunities.

Local Businesses: Understand community interests to tailor marketing efforts or identify potential target audiences for local promotions.

How it Improves Existing Processes:

Time Efficiency: Dramatically reduces the hours spent on manual searching across multiple platforms, freeing up users for more meaningful activities.

Comprehensive Discovery: Ensures a wider net is cast, increasing the likelihood of finding truly "new" or less-advertised groups and events that might be missed by casual browsing.

Reduced Friction: Lowers the barrier to entry for community engagement by making discovery effortless and presenting information in an immediately actionable format.

Proactive Engagement Instead of reactively searching when a need arises, users can proactively receive updates on new opportunities, fostering continuous community involvement.

Data-Driven Insights: The structured output provides a clear overview, enabling users to quickly assess and prioritize which groups or events to explore further.

This Runner H solution transforms a tedious process into an automated, insightful process, empowering individuals and organizations to connect with their local community more effectively and to better understand and engage with local interests.

Social Love

I post on X. https://x.com/directors_comp/status/1941882936694804961


This content originally appeared on DEV Community and was authored by Seb


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Seb | Sciencx (2025-07-06T15:49:27+00:00) Never Miss a Local Meetup Again! 🚀. Retrieved from https://www.scien.cx/2025/07/06/never-miss-a-local-meetup-again-%f0%9f%9a%80/

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