Office hours for students: how I run them and why they beat DMs

A weekly open hour for student questions: the format, the rules that keep it useful, what students bring that gets the best answers, and how a community turns one hour into shared knowledge.

Presenting KrishGyan
Presenting KrishGyan

Direct messages are where student questions go to die — too vague to answer, too private to help anyone else. The alternative that worked for TechVerse Enclave is office hours: one open hour a week, on a call, where anyone can bring a question and everyone can hear the answer.

The format

  • Same time every week, published in the community calendar.
  • A queue: post your question in the channel before the hour with what you tried.
  • Each question gets up to ten minutes; screen-share encouraged.
  • Answers are summarised in the channel afterwards, so the hour compounds.

Questions that get the best answers

"My RAG app returns the wrong chunk for this question; here is the query, the top three results and the chunking code" gets a real answer in five minutes. "How do I learn AI?" gets a reading list nobody reads. Teaching students to ask well is half the value of office hours — I wrote a student-side guide in how to ask a mentor for help.

Rules that keep it useful

  • No debugging someone's entire project; find the smallest reproducible piece.
  • No career questions without a specific decision attached.
  • Anyone can answer, not just the host. Second-years answering first-years is the point.

Why it beats DMs

One answer reaches thirty people. Students see how others phrase problems and what a good answer looks like. Quiet members learn by listening before they ever ask. And the mentor's time, which is the scarce resource, is spent once instead of thirty times.

For clubs and colleges

A visiting mentor can run a monthly office hour for a club remotely in exactly this format — it is one of the lowest-cost, highest-return arrangements a college can set up with a practitioner. I run these for student communities; details on the invite page.

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Pranjul Rathour
Pranjul Rathour
GenAI Engineer · Kanpur, Uttar Pradesh, India

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.

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Want this as a live session at your college?

Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges.

Pranjul Rathour, GenAI engineer in Kanpur