A solo participant produces less surface area — fewer features, a smaller demo — than a team of four with the same hours available, purely because there are fewer hands. Scoring them identically on raw scope isn't quite fair, but scoring generously just for being solo isn't fair to the teams either.
A workable approach
- Keep the same rubric and weights for everyone — don't create a separate, softer bar for solo entrants.
- Weight 'depth of execution on a smaller scope' as a legitimate strength within the existing execution criterion, rather than inventing a bonus category.
- If solo participation is common at your event, consider a separate solo-hacker prize category instead of adjusting the main rubric.
What not to do
Silently mentally adjusting scores for solo participants without a stated rule creates exactly the inconsistency a rubric exists to prevent. If you're going to account for team size, make it an explicit, published rule.
See innovation vs execution: how I weigh a rubric.
GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU Kanpur) and BYTEBATTLE (MeetKats).
Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. Email pranjulrathour41@gmail.com.
