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Source-First Search for Knowledge Work
Build a search product optimized for finding exact source documents instead of generic answers. The core value is intent-aware retrieval that prioritizes official policies, docs, trust centers, reference pages, and canonical sources, with optional summaries layered on top rather than replacing results.
Why this matters
You are often searching for something where one missing detail changes the outcome: a privacy policy clause, an integration guide, a trust page, or a language reference. General AI tools can give a convenient summary, but that is not enough when you need the actual document and need confidence that it is the right one. Regular search engines also fail by surfacing SEO pages or noisy results instead of the canonical source. The frustration is not lack of information; it is the time spent filtering unreliable layers between you and the original material. You would pay to get exact links faster and with fewer mistakes.
- · Built for Security reviewers, developers, IT buyers, compliance analysts, and technical operators who regularly need authoritative documents fast..
- · Most likely monetization: SaaS subscription.
The Pain · Narrative
You are often searching for something where one missing detail changes the outcome: a privacy policy clause, an integration guide, a trust page, or a language reference. General AI tools can give a convenient summary, but that is not enough when you need the actual document and need confidence that it is the right one. Regular search engines also fail by surfacing SEO pages or noisy results instead of the canonical source. The frustration is not lack of information; it is the time spent filtering unreliable layers between you and the original material. You would pay to get exact links faster and with fewer mistakes.
Score Breakdown
Market Signal
Go-to-Market
Individual security-conscious developers and technical compliance buyers who perform document-heavy searches multiple times per day.
~100K-300K active global users in the initial wedge
Hacker News launch
$15/month
25 paying users who perform at least 300 searches in the first 30 days and retain into month two
MVP Scope · 1–2 weeks
- Build a query classifier for document-seeking versus answer-seeking intent using simple rules and LLM labeling
- Connect two search APIs and normalize results into a single ranking format
- Create a ranking layer that boosts official docs, policies, and known canonical domains
- Ship a basic web UI with result list, source labels, and saveable domain boost/block rules
- Instrument search sessions to measure click-through on canonical sources versus generic pages
- Add citation-based answer summaries that only use clicked or top-ranked sources
- Launch a lightweight browser extension that forwards selected searches into the app
- Implement account billing and a capped trial plan
- Create presets for common workflows like vendor due diligence and developer docs lookup
- Run usability tests with 10 target users and tune ranking based on failed searches
Differentiation
Why This Might Fail
Self-rebuttal — the most important trust signal
- 1The target users may love the concept but still default to free incumbents because changing search habits is hard.
- 2Without a proprietary index, result quality may not consistently beat mainstream tools on enough queries to justify payment.
- 3Large AI assistants may add better direct-source retrieval and remove the main differentiation before the product gains traction.
Evidence Summary
How AI synthesized this insight — no verbatim quotes
Roughly ten comments centered on a clear split between finding documents and finding answers. Several users explicitly described needing exact links to policies, integration pages, and trusted references, while others criticized AI outputs for weak accuracy or source indirection. At the same time, multiple commenters praised products that combine search with optional summaries, suggesting strong demand for a source-first workflow rather than a chat-only experience.
Action Plan
Validate this opportunity before writing code
Recommended Next Step
Build
Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.
Landing Page Copy Kit
Ready-to-paste copy based on real Reddit community language — no editing required
Headline
Source-First Search for Knowledge Work
Sub-headline
Build a search product optimized for finding exact source documents instead of generic answers. The core value is intent-aware retrieval that prioritizes official policies, docs, trust centers, reference pages, and canonical sources, with optional summaries layered on top rather than replacing results.
Who It's For
For Security reviewers, developers, IT buyers, compliance analysts, and technical operators who regularly need authoritative documents fast.
Feature List
✓ Document-intent mode that detects policy, docs, trust-center, and reference lookups ✓ Canonical-source ranking with domain trust rules and SEO-page demotion ✓ Optional answer pane with citations linked to original documents ✓ Saved search boosts and blocks by domain ✓ Browser extension for one-click search redirection and result enhancement
Where to Validate
Share your landing page in r/HN · front_page — that's exactly where these pain points were discovered.
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