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78点数
r/webdev
SaaS subscription with tiered plans (individual investigator vs. team/enterprise)
Build

Web Article Date Verification SaaS for Investigators

A SaaS tool that automatically verifies the true publication and modification dates of web articles by aggregating multiple independent signals—Wayback Machine snapshots, search engine first-seen dates, CMS metadata forensics (WordPress post IDs, JSON API dates), RSS feed archives, and backlink first-seen data—into a single verification report with a confidence score. Targeted at professional investigators, journalists, and legal researchers who need to detect backdated or modified articles.

上昇 +81%5 チャネル30日間の言及傾向: latest 1, peak 6, 30-day series
Redditで見る
発見 2026年10月9日

これが重要な理由

You are a professional investigator who encounters suspicious news articles that look fabricated or backdated to benefit a client. The publication and modification dates shown on the page are meaningless because anyone with CMS access can set them to whatever they want. To verify the real date, you have to manually check multiple fragmented sources—archive snapshots, search engine caches, WordPress post IDs, RSS feed history—each requiring technical knowledge you may not have. There is no single tool that aggregates these signals into one report, so you spend hours piecing together evidence and still worry you missed something. You need a reliable, easy-to-use tool that produces a professional verification report you can stand behind.

  • · Professional investigators, forensic researchers, journalists, and legal professionals who need to verify the authenticity of web article publication dates for evidence or reporting purposes.向けに構築。
  • · 最も可能性の高い収益化モデル: SaaS subscription with tiered plans (individual investigator vs. team/enterprise)。

痛み · ナラティブ

You are a professional investigator who encounters suspicious news articles that look fabricated or backdated to benefit a client. The publication and modification dates shown on the page are meaningless because anyone with CMS access can set them to whatever they want. To verify the real date, you have to manually check multiple fragmented sources—archive snapshots, search engine caches, WordPress post IDs, RSS feed history—each requiring technical knowledge you may not have. There is no single tool that aggregates these signals into one report, so you spend hours piecing together evidence and still worry you missed something. You need a reliable, easy-to-use tool that produces a professional verification report you can stand behind.

スコア内訳

課題の強さ8/10
支払い意欲7/10
構築のしやすさ6/10
持続性6/10

市場シグナル

30日間の言及傾向ピーク: 6
Sparkline: latest 1, peak 6, 30-day series
対象チャネル
front_pageselfhostedmarketingDaytradingSideProject

市場投入

正確なターゲットユーザー

Private investigators and legal researchers who verify online evidence for court cases or client disputes

推定ユーザー数

~30,000 licensed private investigators in the US alone, plus tens of thousands of legal researchers and journalists globally

主要な獲得チャネル

SEO long-tail targeting searches like 'verify article publish date' and 'check if article was backdated', supplemented by investigator community forums

価格アンカー

$39/month or $15 per individual verification report

最初のマイルストーン

50 paying users within 60 days of launch, with at least 30% returning for a second report

MVPの範囲 · 1~2週間

1週目
  • Build core URL analyzer that fetches page HTML and extracts datePublished, dateModified, and JSON-LD metadata
  • Implement WordPress-specific forensics: detect post IDs from shortlink tags and body classes, query /wp-json API for real creation dates
  • Integrate Wayback Machine API to fetch earliest available snapshot date for a given URL
  • Create simple web UI with URL input field and basic results display showing extracted signals
  • Deploy MVP to a staging environment and test against 20 known backdated and legitimate articles
2週目
  • Add search engine first-seen date integration via Google/Bing API or web scraping of cache data
  • Implement RSS/Atom feed archive checking for historical publish timestamps
  • Build confidence scoring algorithm that weighs multiple signals and produces a verdict (verified/mismatched/insufficient data)
  • Add PDF report export with all evidence sources listed in investigator-friendly format
  • Set up landing page with pricing and launch on investigator-focused communities and forums
MVP機能: Automated multi-signal date verification report with confidence score · CMS-specific forensics (WordPress post ID analysis, JSON API date extraction, shortlink detection) · Wayback Machine and search engine first-seen date integration · PDF report export suitable for legal/investigative documentation · URL monitoring for ongoing changes to tracked articles

差別化

既存のソリューション
Wayback Machine (Internet Archive)
当社のアプローチ
There is no unified, user-friendly tool that automatically aggregates multiple independent web-forensic signals (archive snapshots, search engine first-seen, CMS metadata analysis, backlink history, feed archives) into a single verification report with a confidence score.

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

  1. 1Usage frequency may be too low for a monthly subscription model—investigators might only need date verification a few times per case, making it hard to justify ongoing payments versus one-time alternatives.
  2. 2Free tools like Wayback Machine plus manual checks may be 'good enough' for most users, especially if they are technically inclined or have developer colleagues to consult.
  3. 3API costs from multiple data providers (search engines, archive services, backlink databases) could make each verification report expensive, squeezing margins if users expect low prices.

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

Approximately 10 commenters confirmed that CMS date metadata is trivially fakeable and cannot be trusted as evidence. Multiple users independently recommended checking multiple independent sources—Wayback Machine, search engine caches, RSS feeds, WordPress post IDs, and backlink first-seen dates—but noted this requires significant technical knowledge and manual effort. One commenter confirmed the WordPress post ID technique worked well for their investigation, and the original poster asked for simplified explanations, underscoring the gap between available technical methods and accessible tools for non-developer professionals.

1 1 件の投稿を分析5 5 チャネルAI · AIが統合 · 逐語的ではありません

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

Web Article Date Verification SaaS for Investigators

サブ見出し

A SaaS tool that automatically verifies the true publication and modification dates of web articles by aggregating multiple independent signals—Wayback Machine snapshots, search engine first-seen dates, CMS metadata forensics (WordPress post IDs, JSON API dates), RSS feed archives, and backlink first-seen data—into a single verification report with a confidence score. Targeted at professional investigators, journalists, and legal researchers who need to detect backdated or modified articles.

ターゲットユーザー

対象:Professional investigators, forensic researchers, journalists, and legal professionals who need to verify the authenticity of web article publication dates for evidence or reporting purposes.

機能リスト

✓ Automated multi-signal date verification report with confidence score ✓ CMS-specific forensics (WordPress post ID analysis, JSON API date extraction, shortlink detection) ✓ Wayback Machine and search engine first-seen date integration ✓ PDF report export suitable for legal/investigative documentation ✓ URL monitoring for ongoing changes to tracked articles

どこで検証するか

r/r/webdev 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。

サインアップして詳細な深掘り分析をアンロック

GTM、MVPスコープ、失敗する理由、ActionPlanコピーキット。無料サインアップで月10件の詳細ビューが利用可能です。

Report & PRDBUSINESS

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よくある質問

誰がこのペインを感じていますか?
Professional investigators, forensic researchers, journalists, and legal professionals who need to verify the authenticity of web article publication dates for evidence or reporting purposes.
これは本物のビジネスチャンスですか?
このビジネスチャンスは、Pain Spotterの総合指標(ペインの強さ、支払意欲、技術的実現可能性、持続可能性)で78/100のスコアを獲得しています。エンジニアリングの時間を割く前に、さらに検証を行ってください。
どのように検証すべきですか?
ターゲット層と5回の顧客発見の会話を行い、ウェイトリスト付きのランディングページを公開し、開発前にリンク元の投稿で最近のアクティビティを確認してください。