모든 아이디어는 돈을 낼 구매자, 토론 속 근거, 실제 시장 공백을 보여 준 뒤, 아이디어를 무너뜨리려는 레드팀을 통과해야 했습니다.

검토한 스토리

25

정독

6

제안된 아이디어

12

살아남음

2/12

2개 살아남음

12개 중 2개 살아남음
2026년 10월 26일 월요일의 아이디어
#점수아이디어유형카테고리고통지불시기공백해자구현
1 6.6 대학을 위한 확장 가능한 구술시험 플랫폼AI가 흉내 낼 수 없는 평가 방식인 짧고 구조화된 구술시험(viva)을 학과 단위로 대규모 운영할 수 있게 해주는 소프트웨어와 워크플로입니다. 벤처 교육 768766
2 6.0 오픈 웨이트 모델 온프레미스 스타터 키트 서비스중견 기업이 몇 주 안에 온프레미스 오픈 LLM을 실제로 구동할 수 있도록, 컨설팅과 도구를 패키지 상품으로 묶어 제공합니다. 인디 AI 인프라 667647
탈락 · 10 · 6.0점 기준선 아래
5.9Inline PR annotations instead of review reportsScored 5.9, under the 6.0 bar.
5.9Pre-deploy blast radius and on-call routerThe supporting evidence is essentially one engineer who hand-built an internal tool, and stitching diff-reach analysis to PagerDuty ownership is a hard PagerDuty-Startup feature rather than a defensible venture company.
5.9LLM provider policy and privacy posture monitorScored 5.9, under the 6.0 bar.
5.3Continuous model swap advisor for LLM workloadsThis is the same product as the token-spend router candidate (re-evaluate models against your prompts, route to cheapest acceptable), and OpenRouter plus Artificial Analysis already supply most of it free.
5.2Contradiction-aware memory store for LLM agentsContradiction detection and decay are roadmap features Mem0 and Zep can add within quarters, and agent builders mostly stay on provider-native memory unless the pain forces migration, making this a feature underlying platforms will absorb.
탈락 5개 더 보기
5.2In-person exam workflow for handwritten STEM assessmentGradescope and Crowdmark already do scan-and-rubric grading of handwritten STEM exams at exactly this price point, leaving only marginal workflow tailwinds and no durable gap an incumbent can't close in one release.
5.0Token-spend router across frontier and open modelsCheapest-model-acceptable routing is the flagship feature set of OpenRouter, LiteLLM, and Portkey, and the 'quality-eval' differentiator is a feature Martian and the eval tools already bolt on — this is not a company.
4.8Benchmark suite for context management strategiesThe demand signal is one commenter wishing for this benchmark, the natural outcome is a published comparative report (freely consumed) or a Braintrust eval template, and a $5k one-time report to a handful of platform teams is not a company.
4.7Offline skin lesion triage while awaiting dermatologyToo weak on moat (3/10).
4.2Turn-key narrow classifier builder for image triageAutoML and Roboflow already train narrow classifiers from small labeled sets, and 'here's proof it beats GPT on your task' is a sales demo, not a product companies will pay $800/mo for.