This insight was synthesized by AI from public community discussions. We do not display original user posts or comments verbatim—all content has been rewritten and aggregated. Verify before acting on it.
Researcher Integrity & Citation Risk Database
A searchable database that aggregates retraction records, replication failures, ethics violations, and integrity concerns for individual researchers and their publications. Integrated as a browser extension and API that flags potentially unreliable sources when researchers are reading papers or building literature reviews.
Why this matters
You are a graduate student or researcher building a literature review, and you have no easy way to know whether the studies you are citing come from researchers with a history of retractions, failed replications, or integrity concerns. You only discover these problems if you happen to encounter a critical blog post or news article, which is unpredictable. After investing weeks in a review, you may learn that key studies you cited were fabricated, undermining your entire work. You need a tool that proactively warns you when you are reading or citing work by researchers with documented integrity issues, integrated into your existing research workflow.
- · Built for Academic researchers, graduate students, systematic review authors, and science journalists who need to assess the credibility of cited work and its authors.
- · Most likely monetization: Freemium with premium features for institutions; API licensing for reference management tools.
The Pain · Narrative
You are a graduate student or researcher building a literature review, and you have no easy way to know whether the studies you are citing come from researchers with a history of retractions, failed replications, or integrity concerns. You only discover these problems if you happen to encounter a critical blog post or news article, which is unpredictable. After investing weeks in a review, you may learn that key studies you cited were fabricated, undermining your entire work. You need a tool that proactively warns you when you are reading or citing work by researchers with documented integrity issues, integrated into your existing research workflow.
Score Breakdown
Market Signal
Go-to-Market
PhD students and postdocs in psychology, behavioral economics, and biomedical fields who actively build literature reviews and are aware of the replication crisis
~100,000 PhD students and early-career researchers in replication-affected fields who would adopt a free tool; ~10,000 might convert to paid features
Launch on academic Twitter and open science communities, plus browser extension listings on Chrome/Firefox stores targeting researchers
Free browser extension; $9/month for premium API access and systematic review integration
1,000 browser extension installs within 30 days of launch with 20% weekly active usage
MVP Scope · 1–2 weeks
- Aggregate retraction data from Retraction Watch API and Crossref into a researcher-level database
- Build researcher profile pages with integrity timeline showing retractions, replications, and concerns
- Create basic search interface to look up researchers by name and ORCID
- Develop Chrome extension prototype that detects when user is viewing a paper page and shows integrity warnings
- Set up data pipeline to match researcher names across retraction databases and publication records
- Add replication failure data by scraping Data Colada and other replication blogs for named researchers
- Implement citation risk score algorithm weighting factors like retraction count, replication failures, and years since issues
- Build API endpoint for reference manager integration with JSON responses for author lookups
- Add alert system where users can 'watch' researchers and receive notifications of new integrity issues
- Create landing page with search functionality and launch on academic social media channels
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1Researchers flagged by the database may pursue legal action for defamation, especially in jurisdictions with strong personality rights, creating unsustainable legal costs for a startup
- 2Data sources are fragmented and inconsistent; aggregating integrity concerns requires subjective judgment about what constitutes a concern, leading to accuracy disputes
- 3Free alternatives like Retraction Watch and Wikipedia may provide sufficient information for most researchers, making it hard to justify a paid tier
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Approximately 5 commenters discussed the lack of consequences for researchers with documented fraud histories, noting they retain positions at prestigious institutions. Multiple commenters expressed personal betrayal after having promoted fraudulent research to their networks. The discussion highlighted that there is no centralized, easily accessible record of researcher integrity issues; information is scattered across blog posts, Wikipedia articles, and news stories, making it easy to unknowingly cite compromised work.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Validate
Promising signals, but needs confirmation. Create a landing page, collect email sign-ups, then decide.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Researcher Integrity & Citation Risk Database
Sub-headline
A searchable database that aggregates retraction records, replication failures, ethics violations, and integrity concerns for individual researchers and their publications. Integrated as a browser extension and API that flags potentially unreliable sources when researchers are reading papers or building literature reviews.
Who It's For
For Academic researchers, graduate students, systematic review authors, and science journalists who need to assess the credibility of cited work and its authors
Feature List
✓ Researcher profile pages aggregating retractions, replications, and integrity concerns from multiple sources ✓ Browser extension that overlays integrity warnings on PubMed, Google Scholar, and journal websites ✓ API for integration with Zotero, Mendeley, and other reference managers ✓ Citation risk scoring for literature reviews and systematic reviews ✓ Alert system for new integrity issues with previously cited works
Where to Validate
Share your landing page in r/HN · front_page — that's exactly where these pain points were discovered.
Sign up to unlock full deep analysis
GTM, MVP scope, why-it-might-fail, ActionPlan Copy Kit. Free signup grants 10 detail views/month.
Other opportunities in the same theme
Auto-clustered by AI from related discussions