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AI Research Search with Verified Citations
Build a research search tool that combines exact paper retrieval, access-status detection, and AI-assisted claim tracing into primary sources. The strongest signal is repeated dissatisfaction with publisher search and the clear productivity gain users report when AI helps them navigate citation chains.
これが重要な理由
You are trying to verify a technical claim or locate a specific paper, and the current process is messy. One tool is better for discovery, another for PDFs, and a third for understanding how a result connects back to prior work. Even when you know the author and title, native library search can flood you with irrelevant results. AI can help, but generic assistants are not dependable enough when you need traceable sources. What you really want is a single interface that finds the exact paper, shows whether you can access it, and walks you through the evidence chain without forcing you to juggle tabs and guess which citation is trustworthy.
- · Researchers, graduate students, analysts, and technical professionals who frequently need to find, verify, and download scholarly papers fast.向けに構築。
- · 最も可能性の高い収益化モデル: Freemium。
痛み · ナラティブ
You are trying to verify a technical claim or locate a specific paper, and the current process is messy. One tool is better for discovery, another for PDFs, and a third for understanding how a result connects back to prior work. Even when you know the author and title, native library search can flood you with irrelevant results. AI can help, but generic assistants are not dependable enough when you need traceable sources. What you really want is a single interface that finds the exact paper, shows whether you can access it, and walks you through the evidence chain without forcing you to juggle tabs and guess which citation is trustworthy.
スコア内訳
市場シグナル
市場投入
Independent researchers and graduate students in computer science and adjacent technical fields who search for papers several times per week.
~100K heavy users globally in the initial niche
SEO long-tail
$19/month
25 paying users and 200 weekly active users completing at least 3 verified paper retrievals each within 30 days
MVPの範囲 · 1～2週間
- Ingest metadata from Crossref and one open scholarly dataset into PostgreSQL
- Build title-author-DOI exact match search API with relevance tuning
- Create a simple web UI for search results and access-status labels
- Add paper detail pages with outbound links to open copies when available
- Instrument analytics for search success rate and click-through to full text
- Add LLM-based claim-to-source tracing using abstract and reference metadata
- Render citation paths visually from result to prior sources
- Implement saved searches and export to BibTeX and CSV
- Launch a browser extension that adds 'find verified source' to selected text
- Recruit 20 beta users and measure exact-match retrieval satisfaction
差別化
失敗する可能性がある理由
自己反論 — 最も重要な信頼のシグナル
- 1Search quality may not surpass free incumbents enough to change entrenched behavior.
- 2Without broad full-text access, users may still need to leave the product too often, weakening retention.
- 3LLM-based source tracing could occasionally hallucinate links, and even rare errors may destroy trust in a research workflow.
エビデンスの概要
AIがこのインサイトをどのように統合したか — 逐語的な引用はありません
The most repeated practical complaint was poor search and retrieval inside publisher systems, especially for exact paper lookups and filtering. Several commenters also described strong value from AI when it helps locate primary sources and follow citation chains. Together, that suggests a commercially relevant need for a tool that combines high-precision paper search with transparent, citation-grounded AI assistance.
アクションプラン
コードを書く前に、この機会を検証しましょう
推奨する次のステップ
開発する
強い需要シグナルを検出。本物の課題と支払い意欲を確認 — MVPの開発を始めましょう。
ランディングページ文案キット
実際のRedditコメントから抽出したコピー、そのまま貼り付けられます
見出し
AI Research Search with Verified Citations
サブ見出し
Build a research search tool that combines exact paper retrieval, access-status detection, and AI-assisted claim tracing into primary sources. The strongest signal is repeated dissatisfaction with publisher search and the clear productivity gain users report when AI helps them navigate citation chains.
ターゲットユーザー
対象：Researchers, graduate students, analysts, and technical professionals who frequently need to find, verify, and download scholarly papers fast.
機能リスト
✓ Exact-match paper finder using title, author, DOI, and fuzzy metadata reconciliation ✓ AI claim-to-primary-source tracing with visible citation paths ✓ One-click detection of accessible full text, author copies, and open versions ✓ Saved research trails and exportable citation bundles
どこで検証するか
r/HN · front_page にランディングページのリンクを投稿しましょう — そこがこの課題が発見された場所です。
同じテーマの他の機会
AIが関連する議論から自動クラスタリング