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Take-Home Authorship Probe — live-interview challenge packs for hiring leads at founder-led SaaS

exhausted [TRIANGULATED] signals: 1 independent
What is this?
A pre-final-round gate for hiring leads at founder-led SaaS companies. The hiring manager pastes a candidate's take-home submission (code, design exercise, analytical write-up) and the role's expected competencies. The product runs an adversarial multi-model debate against the submission and returns a 30-minute live interrogation pack: 8-12 targeted questions plus one injected modification the candidate must extend on the spot. The pack is engineered to expose whether the candidate genuinely authored and understood their own work — separating practitioners from AI-augmented submitters who can't defend their submission under live probing. AE's adversarial multi-model debate generates probes a single interviewer wouldn't think of, and the 6-pattern autopsy taxonomy (Cosmetic Confidence, Concession Laundering, Fatal Grounding Immunity) maps directly onto the failure modes that distinguish authored from AI-augmented work. Each pack is graded post-interview by which questions actually surfaced gaps, building a per-role library of high-yield probes the hiring lead reuses.
Why did we consider it?
Take-homes are broken by LLMs, hiring managers are already buying defenses, and AE's adversarial-debate plus autopsy-taxonomy stack maps directly onto the exposure problem — sold async to a solo-operator-friendly buyer at price points that hit the ARR target.
What breaks?
  • Market obsolescence: Top talent rejects take-homes, and LLMs are forcing companies to abandon them entirely in favor of live evaluations, shrinking your TAM.
  • Engine violation: Relying on subjective interviewer feedback to grade probe effectiveness breaks the AE's strict requirement for an 'objective reality-graded signal'.
  • Commander mismatch: Selling a new evaluation step to hiring managers requires high-friction B2B sales and ATS integration, incompatible with an introverted, part-time solo operator.
What did we learn?
Killed: evidence_search_exhausted.

Evidence

Signal D — Demand proxy

{"found":true,"summary":"Hacker News discussion on coding interview dysfunction signals demand for better interview authenticity methods; Reddit SaaS thread highlights concern about uploading sensitive documents to random platforms, tangentially validating the trust problem in candidate evaluation workflows.","sources":["https://news.ycombinator.com/item?id=40266831","https://www.reddit.com/r/SaaS/comments/1t5zcem/one_thing_started_bothering_me_recently/"],"reason":"Result [2] is a HN discussion about coding interview problems, with users debating alternative approaches like giving candidates …

Evaluation history

WhenStagePhase
2026-05-13 05:06evidence_searchargument
2026-05-13 01:12evidence_searchargument
2026-05-12 23:18evidence_searchargument
2026-05-12 21:30evidence_searchargument
2026-05-12 19:42evidence_searchargument
2026-05-12 17:42evidence_searchargument
2026-05-12 15:54evidence_searchargument
2026-05-12 14:06evidence_searchargument
2026-05-12 12:24evidence_searchargument
2026-05-12 10:30evidence_searchargument
2026-05-12 08:48evidence_searchargument
2026-05-12 07:00evidence_searchargument
2026-05-12 05:12evidence_searchargument
2026-05-11 19:06evidence_searchargument
2026-05-11 17:42evidence_searchargument
2026-05-11 16:12evidence_searchargument
2026-05-11 14:48evidence_searchargument
2026-05-11 13:12evidence_searchargument
2026-05-11 06:18evidence_searchargument
2026-05-10 23:36evidence_searchargument
2026-05-10 21:24evidence_searchargument
2026-05-10 21:00evidence_searchargument
2026-05-10 20:42evidence_searchargument
2026-05-10 20:18evidence_searchargument
2026-05-10 20:00evidence_searchargument
2026-05-10 19:48evidence_searchargument
2026-05-10 19:36evidence_searchargument
2026-05-10 18:54evidence_searchargument
2026-05-10 18:48audience_simulationargument
2026-05-10 18:42red_team_killargument
2026-05-10 18:36steelmanargument
2026-05-10 18:34genesisargument