Case study · shipped internal product

AGI House — the attendee research engine

A static ops console that scored and briefed real AGI House hackathon attendees — people explorer, Firecrawl-sponsored event report, and founder-impact timelines — lifted from the repository and running here on anonymised fixtures.

The problem

AGI House runs dense founder/engineer dinners and hackathons. Selecting who to admit, brief sponsors, and later measure “did this community actually elevate companies?” required more than spreadsheets: multi-role scoring over an enriched applicant working set, a dated event briefing artifact, and longitudinal elevation research with explicit estimation labels.

How it worked

01
Intake
Applicants land in a working-set JSON the People UI reads.
02
Deep research
Step flags track profile research + detailed scoring completion.
03
Role scores
scores_v2 vectors for founder / eng / research / PM / investor / media.
04
Event report
Hackathon briefing with sponsors, people embed, projects, company chart.
05
Impact
Founder timelines + company ROI over post-event elevations.

Live interface (lifted)

Framed viewport shows the real HTML/CSS/JS. Controls work against anonymised local JSON — no network calls required for data.

app/people.html open ↗

What it produced — counted volumes

Each figure is a separate denominator. Do not merge them into one “people researched” headline.

applicants_working_set312People UI working setlen(applicants.json)
applicants_with_scores_v2200Scored in working setcount scores_v2 present
applicants_step_8_1_and_8_2_complete202Deep research + detailed score flagstruthy step flags
report_attendees_with_company_data250One-event company-data chartagi_house_report.json → companies_chart
founders_impact_records165Impact explorer rowslen(founders-impact.v1.json)
founders_impact_distinct_company_ids122Distinct company ids in impactunique company.id-new
events_catalog20Events in product cataloglen(events.json)
companies_ui_json151Companies UI filelen(companies.json)
projects25Hackathon projects filelen(projects.json)
full_enriched_db_objects13,733Private full corpus — count only, not shippedstream count Full-enriched-DB.json
final_2023_hack_db_objects2,391Private 2023 hack DB — count only, not shippedstream count Final_2023-hack-DB.json

What was hard / what it got wrong

Real vs reconstructed

Provenance: PROVENANCE.md