Cycling through all six. Tap any point to stop.

Measured on six things

Search the public web, pick the right person, and get an AI-enriched profile with linked sources you can verify.

Security

HTTPS and HSTS are enforced and Stripe handles billing, but the header probe scores 5/12: no CSP, no frame protection, no DMARC, no Referrer-Policy. No SOC 2, ISO or security page published.

Screenshots

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DeepSearch

About this app

DeepSearch helps professionals find people online using publicly available information from the open web. Enter a name, add optional context like company or location, and get a structured profile built from LinkedIn pages, GitHub repos, articles, conference bios, social posts, and other indexed sources — each claim linked so you can verify before you act.

Key features

1Name search with company/location disambiguation and candidate matching to avoid name collisions.
2AI-enriched profiles aggregating LinkedIn, GitHub, X, articles, podcasts and conference bios with linked sources.
3Private lookups that never notify the subject, plus follow-up chat on any generated profile.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Recruiters (agency and in-house talent teams)

Pain points

Manually tab-hopping to research passive candidates; name collisions; slow pre-outreach prep

Primary needs

Fast candidate context, disambiguation, and verifiable sources before first contact

Demographic

Founders and investors preparing for meetings

Pain points

Scattered public info; limited time before calls; unclear credibility signals

Primary needs

Quick multi-source briefs on partners, founders, or investors with linked evidence

Demographic

Sales and business development professionals

Pain points

Generic outreach; weak prospect research; no unified view of a person's footprint

Primary needs

People-first prospecting, role/company context, and private lookups without alerting targets

Demographic

Journalists and analysts/operators

Pain points

Time-consuming verification; fragmented sources; need for auditability

Primary needs

Source-linked profiles, web mention discovery, and quiet, private research

Scout Review

Written by AI from measured evidence, scored out of 100.

DeepSearch is a well-presented, search-first people-research tool with a real idea behind it: compress a dozen browser tabs into one sourced, AI-summarized profile you can verify claim by claim. The landing page is polished and the value proposition is legible in seconds. The weaknesses are concrete: a paywall that blocks value before you see it, no free trial, a mobile LCP of 4.9s, a thin security header posture (5/12) with no published compliance, and a celebrity-demo homepage that reads more consumer than recruiter. It's early — domain registered mid-2026 — but the wedge is real and the category has room. Fix the paywall, tighten the headers, and ship team seats.

Measure by measure

Usability

Search-first flow is obvious and disambiguation via company/location is smart. But there's no free trial or demo, results are paywalled before you see value, and team workspaces are still 'on our roadmap.'

Design

Clean, modern landing page with a prominent centered search bar, consistent feature cards and strong type hierarchy. The celebrity 'Popular right now' cards and a cramped four-column footer undercut the professional research positioning.

Speed

Desktop Lighthouse performance is a solid 91/100, but mobile drops to 73 with a 4.9s LCP — slow enough to feel on a phone. CLS 0 and low TBT show the build is clean, just heavy on first paint.

Security

HTTPS and HSTS are enforced and Stripe handles billing, but the header probe scores 5/12: no CSP, no frame protection, no DMARC, no Referrer-Policy. No SOC 2, ISO or security page published.

Accessibility

Lighthouse accessibility lands at 95/100 with only one failing audit (unnamed buttons). Responsive layout and readable contrast are solid, though there's no WCAG statement and the site is English-only.

Growth

A real, specific problem (tab-hopping person research) with a genuine wedge: cross-web, source-linked, private lookups. Early stage (domain ~0.4 years), no team pricing yet, but the category has clear headroom.

Improvement areas

No free trial or demo — results are paywalled before users can evaluate output quality.
Thin security posture: 5/12 header checklist, no CSP/DMARC, no published SOC 2 or security page.
No team billing or shared workspaces; individual seats only despite recruiting-team target.

Design & Usability

DeepSearch's homepage is genuinely well-crafted: a bold 'Find anyone by name' headline, a centered search bar with a subtle 'add details' disambiguation link, and a tidy 2x3 feature grid that explains the value in seconds. The cracks show in the details — celebrity demo cards (Taylor Swift, Elon Musk, Beyoncé) feel like a consumer toy rather than a recruiter tool, and the four-column footer is a wall of tiny links. Usability is search-first and intuitive, and the company/location narrowing is a smart touch for name collisions. The friction is the paywall: you search, then hit 'pay to unlock results' before seeing any value, with no free trial or demo. Team workspaces are promised but not shipped.

Speed & Security

Speed is a tale of two devices. Desktop Lighthouse performance is an excellent 91/100, but mobile drops to 73 with a 4.9-second LCP — the first paint is heavy enough that phone users will notice. CLS of 0 and TBT of 91ms show the underlying build is clean, so this is a payload problem, not an architecture one. Security is the weakest dimension: HTTPS and HSTS are enforced and Stripe handles billing, but the header probe scores just 5/12. There's no Content-Security-Policy, no frame protection, no X-Content-Type-Options, no Referrer-Policy, and no DMARC record. No SOC 2, ISO 27001 or dedicated security page is published. For a tool that aggregates personal data, that's a thin security posture.

Accessibility & Growth

Accessibility is a strength: Lighthouse scores 95/100 with a single failing audit — buttons missing accessible names. The responsive layout and contrast hold up, though there's no WCAG conformance statement and the product is English-only. Growth is where the idea earns its keep. The problem is real and specific: professionals waste hours tab-hopping across LinkedIn, GitHub and Google to assemble a person's footprint. DeepSearch's wedge — cross-web aggregation, every claim source-linked, private lookups that never notify the subject, and follow-up chat — is a genuine differentiator against LinkedIn (siloed), LinkedIn Recruiter (expensive, LinkedIn-only), Clay (sales-enrichment, not person-first research) and raw Google (noisy). The category has headroom. The limit is execution: the domain is roughly four months old, there's no team billing, and the celebrity-demo positioning muddies who it's for.

Conclusion

If you're a recruiter, founder or analyst who already spends an hour a day tab-hopping, DeepSearch is worth a look — the source-linked profiles and private lookups are the right primitives. Go in knowing you'll pay before you see a result, mobile is slow, and there's no team plan yet. It's a promising early product with a clear idea and a short list of fixable flaws, not a finished platform.

Suggestions for improvement

Offer a free trial or a couple of free lookups so users see value before hitting the paywall.
Add CSP, frame protection, X-Content-Type-Options, Referrer-Policy and a DMARC record to close the 5/12 header gap.
Replace the celebrity demo cards with recruiter/founder-relevant example profiles to match the B2B positioning.
Ship team billing and shared workspaces — solo seats only is a blocker for agency recruiting teams.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	DeepSearch	LinkedIn	LinkedIn Recruiter	Clay	Google Search
Cross-web aggregation with linked sources	Yes — LinkedIn, GitHub, X, articles, podcasts, each claim source-linked	No — LinkedIn-only, siloed profile data	No — LinkedIn-centric sourcing and ATS	Partial — enrichment across sources, sales-oriented	Manual — raw results, no synthesis or linking
Private lookups (subject not notified)	Yes — searches private, subjects never notified	No — profile views can be visible	No — InMail and profile views visible	Mostly — enrichment without direct notification	Yes — searches are private
Pricing model	$7.99/wk, $19.99/mo, $39.99/qtr, $59.99/yr; 25 lookups/day cap	Free tier; Premium subscription tiers	Enterprise seat licensing, high cost	Tiered subscription with credit-based usage	Free
Follow-up chat on a profile	Yes — included on paid plans	No	No	Partial — AI research agents	No — AI Overviews only, not profile-scoped
Team / shared workspace	No — roadmap only; individual seats	Yes — company pages and team tools	Yes — built for teams with shared pipelines	Yes — shared workspaces and tables	No

The dominant professional network for people profiles and recruitment workflows, but research is siloed and heavily gated; DeepSearch aggregates public signals across the open web and links each claim to a source.

LinkedIn Recruiter

A purpose-built sourcing and candidate management suite for recruiters, but it's expensive and LinkedIn-centric; DeepSearch is a lighter, cheaper way to assemble a cross-web profile for pre-outreach research.

Clay

A powerful data enrichment and outbound prospecting platform aimed at growth and sales teams; DeepSearch is simpler and focused specifically on person-first public web research.

Google Search

The universal starting point for finding people online, but it's noisy and requires advanced operators and manual synthesis; DeepSearch compresses the same open-web search into a structured, AI-summarized profile.

Comparing options? See DeepSearch alternatives, scored side by side

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