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InterviewLoop: track AI rules in tech interviews

Record how each company runs technical interviews in the AI era, so candidates stop guessing

Problem
Technical interviews are no longer uniform: some companies allow AI assistance, others interrupt candidates and ask them to switch approaches, and tolerance for AI varies widely. Candidates piece together fragments from forums and group chats, never knowing how a target company actually interviews, whether AI is allowed, or what interviewers care about.
Solution
A structured interview intel base: candidates submit rounds, AI tool rules, evaluation focus, and outcomes by company and role; the system aggregates a company-level comparison view and anonymizes new submissions. Filter by role and region to prepare purposefully.
Users
Software engineers job-hunting or seeking a first job, new grads, and career switchers
MVP
Structured submission form by company and role; company-level rules comparison page; anonymization and moderation queue; role and region filters; subscribe to updates for followed companies
Revenue
Free basic browsing, subscription for comparisons and alerts; data licensing to training programs
Why now
Generative AI just disrupted interview standards, company rules are messy and changing fast, and existing interview-sharing platforms haven't structured this; cold start needs only a small seed of reports, runnable by one person

Source discussions · 3

  1. Hacker NewsAsk HN: What do your technical interviews look like today? (Nov 2026)4↑ 2
  2. Hacker NewsShow HN: Receipts, agent skills that make PRDs and metrics cite their evidence2↑ 0
  3. Hacker NewsAsk HN: Skills expected for junior to mid-level DevOps/infra roles in the US?1↑ 0
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