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Measured on six things
AI travel concierge that books places via text or LINE app
Security
41Security-header probe scores 2/12: no enforced HTTPS, no HSTS, no CSP, no frame protection, no referrer or permissions policy. SPF and DMARC are present. No SOC 2, ISO, or bug-bounty signals found.
Screenshots
1 / 1
About this app
Num is a new AI-powered travel concierge that works like texting a knowledgeable friend. Instead of scrolling through countless reviews and travel apps, you simply tell Num what you want in any language, and it responds with the one place that fits — then books it for you. The service is free for travelers and covers over 2.7 million places across 106 destinations in 39 countries. What sets Num apart is its commitment to trust. Ratings come only from verified guests, and no business can pay to rank higher in results. Places that have claimed their listings are clearly marked, while the rest are simply mapped. Num speaks 16 languages around the clock, so whether you're asking for "dinner tonight, somewhere romantic I can walk to" or "best massage near me," you'll get a real answer in your own words. The app works two ways: you can add Num on LINE for a zero-install experience, or put the app on your home screen in just two taps without going through an app store. Bookings are held ...
Key features
- 1AI concierge that answers in natural language across 16 languages and books directly in the same thread
- 2Verified-guest-only ratings with a strict no-pay-to-rank policy — businesses cannot buy placement
- 3Two zero-friction entry paths: LINE bot (@799pyrus) for no-install use, or two-tap home-screen install without an app store
Target customer profile
Drawn from the product itself, not from a survey.
Demographic
International leisure travelers aged 25-45
Pain points
Overwhelmed by endless search results and unreliable reviews on traditional travel platforms
Primary needs
Quick, trustworthy local recommendations and instant booking without app-switching
Demographic
Business travelers in unfamiliar cities
Pain points
Limited time to research, language barriers, need for reliable same-day bookings
Primary needs
Fast concierge service in any language with confirmed reservations and schedule management
Demographic
Local hospitality businesses (restaurants, spas, tour operators)
Pain points
High commission fees, difficulty reaching travelers, time spent on back-and-forth booking coordination
Primary needs
Free listing with pay-per-completed-booking model and qualified guest leads
Scout Review
Written by AI from measured evidence, scored out of 100.
Num is an AI travel concierge that works like texting a friend — you ask in your own words, it answers with one place and books it. The pitch is sharp and the anti-pay-to-rank stance is a genuine differentiator against TripAdvisor, Google Maps, and Yelp, all of which let money influence what you see. The landing page is well-crafted and the two entry paths (LINE bot or two-tap home-screen install) remove real friction. Pricing is honest: free forever for travelers, $8.98/mo for Plus, $28.98/mo for Pro, with the FAQ explicitly stating that paying never buys better places. Where Num stumbles is infrastructure. Mobile performance is 69/100 with an 8.2-second LCP — bad for a product whose core use case is 'ask from your phone on the street.' Security headers score 2/12 with HTTPS not enforced, which is a real gap for a booking platform. Accessibility is 91/100 with three fixable failures. The idea is strong and the positioning is clear; the plumbing needs work before the concierge can be trusted with a credit card.
Measure by measure
Usability
68Two low-friction entry paths (LINE or two-tap home-screen install), passwordless email sign-in, and a pricing FAQ that pre-empts real objections. Guides directory lacks visible search/filter in the fetched text.
Design
71Clean, confident landing page with a live chat mockup that actually demonstrates the product instead of stock screenshots. Guides directory is dense but well-structured. No app-store UI to judge — the web surface is the product.
Speed
55Desktop Lighthouse 94/100 is genuinely fast. Mobile is the problem: 69/100 with an 8.2s LCP — over three times the 'good' threshold. CLS 0 and TBT 137ms are clean, so it's a payload/render issue, not jank.
Security
41Security-header probe scores 2/12: no enforced HTTPS, no HSTS, no CSP, no frame protection, no referrer or permissions policy. SPF and DMARC are present. No SOC 2, ISO, or bug-bounty signals found.
Accessibility
68Lighthouse a11y 91/100 with three failing audits: prohibited ARIA attributes, insufficient color contrast, and non-sequential heading order. Ships a 10-language switcher and claims 16 languages. No published WCAG statement.
Growth
58Real, specific problem with a structural differentiator (verified-guest-only ratings, no pay-to-rank) and an aligned pay-per-booking model. Early stage — domain is ~0.2 years old — but the wedge is legible.
Improvement areas
- Security headers score 2/12 with HTTPS not enforced — critical gap for a booking platform handling user data
- Mobile Lighthouse performance 69/100 with 8.2s LCP — unacceptable for a phone-first travel concierge
- Guides directory (/guides/) lists 10,485 places across 227 guides with no visible search or filter UI
Design & Usability
Num's design does the one thing most travel sites fail at: it shows the product working. The homepage chat mockup — 'Just landed. Dinner tonight, somewhere romantic I can walk to?' answered in two blocks — communicates the concierge concept faster than any feature grid. Typography is disciplined, the ✦ motif is consistent, and the guides page at /guides/ presents 227 city directories with counted categories, which is dense but honest. Usability follows the same logic: two entry paths (LINE @799pyrus for zero-install, or a two-tap home-screen install that skips the app store entirely), passwordless email sign-in with a 15-minute link, and a pricing FAQ that answers the questions competitors dodge — 'Do I get better places if I pay?' gets a flat no. The weak spot is the guides directory: 10,485 places across 227 guides with no visible search or filter in the fetched content, which turns a useful resource into a scroll. Onboarding is genuinely fast; discovery inside the directory is not.
Speed & Security
Speed is a split verdict and the split matters. Desktop Lighthouse lands at 94/100 with CLS 0, TBT 137ms, and FCP 2.5s — that's a well-built page. Mobile lands at 69/100 with an LCP of 8.2 seconds, which is more than three times Google's 'good' threshold. Since Num's whole pitch is 'ask from your phone while walking to dinner,' the mobile number is the one that counts, and it's the one that's failing. No user complaints about lag surfaced in the collected evidence, so this reads as a payload/render issue rather than a systemic one — fixable, but currently real. Security is the sharper concern. The HTTP probe scores 2/12: HTTPS not enforced, no HSTS, no CSP, no frame protection, no X-Content-Type-Options, no Referrer-Policy, no Permissions-Policy. SPF and DMARC are present, and passwordless email-link auth is a reasonable session pattern, but a site that handles bookings and sends sign-in links without enforced HTTPS is leaving the front door propped. No SOC 2, ISO, or bug-bounty signals were found.
Accessibility & Growth
Accessibility sits at a solid-but-imperfect 91/100 on Lighthouse, with three concrete failures: prohibited ARIA attributes, insufficient color contrast, and non-sequential heading order. None are catastrophic; all are fixable in an afternoon. The multi-language story is the real strength — a 10-language switcher on the site and a product claim of 16 languages around the clock, which for a travel concierge is accessibility in the most literal sense. What's missing is a published WCAG conformance statement, which would turn 'we tried' into 'we committed.' Growth is a judgement on the idea, not the traction. Num names a real, specific problem: travelers drowning in review-scrolling and paid rankings, wanting one trustworthy answer. Its differentiator is structural, not cosmetic — verified-guest-only ratings, no pay-to-rank, and claimed-vs-mapped listing transparency. The business model (free for travelers, pay-per-completed-booking for hosts) aligns incentives in a way TripAdvisor's ad model structurally cannot. The honest limit: this wedge depends entirely on supply density and booking completion, and the domain is roughly 0.2 years old. The idea has room; the execution has a mountain to climb.
Conclusion
Num is trying to solve a problem everyone has felt: you're in a new city, you're hungry, and you're staring at 400 reviews that all say 'great food, slow service.' The answer — one trustworthy recommendation, booked in the same thread — is the right answer, and the no-pay-to-rank commitment is the kind of thing that only works if you actually mean it. The team appears to mean it. But a concierge is only as good as the house it works in, and right now the house has an unenforced HTTPS policy, no security headers worth mentioning, and a mobile page that takes eight seconds to load. None of that is unfixable, and none of it is unusual for a product this young. What matters is whether the next six months go into the booking flow or into the plumbing. The idea deserves the plumbing. Fix the headers, get the mobile LCP under three seconds, publish a security page, and Num has a real shot at being the thing people actually open when they land. Until then, it's a great pitch with a leaky roof.
Suggestions for improvement
- Enforce HTTPS site-wide and add HSTS, CSP, X-Content-Type-Options, and Referrer-Policy headers — the 2/12 probe score is the biggest fixable gap.
- Cut mobile LCP from 8.2s to under 2.5s: audit hero images, defer non-critical JS, and test on a throttled 4G profile, not desktop.
- Add search and filtering to the /guides/ directory — 10,485 places across 227 guides is unusable without a way to narrow down.
- Publish a security page and a WCAG conformance statement; both are cheap signals that build trust for a booking platform handling user data.
Alternatives comparison
Named competitors, point by point. Nobody paid to appear here or to be left out.
| Recommendation integrity (can businesses pay for placement?) | No — explicitly states no business can pay to rank higher; ratings only from verified guests | No — sponsored listings and paid placements influence visibility | No — rankings affected by ads and SEO rather than pure relevance | No — advertising packages affect business visibility and placement |
|---|---|---|---|---|
| AI conversational concierge (natural-language ask-and-book) | Yes — core product; ask in any of 16 languages, get one answer, book in the same thread | No — search-and-filter interface with AI trip planning features, not a conversational concierge | No — map-based search with Gemini integration, not a booking concierge | No — review and search platform with no AI concierge |
| In-thread booking and reservation management | Yes — books tables, tours, transfers; holds and confirms in the same conversation thread | Partial — bookings via partner integrations (Viator, TheFork) but not in a single thread | Partial — Reserve with Google for some restaurants; not a unified concierge thread | Partial — Yelp Reservations for restaurants; no tours, transfers, or unified thread |
| Global coverage and multi-language support | 2.7M+ places across 106 destinations in 39 countries; 16 languages around the clock | Massive global coverage; supports many languages but not real-time conversational | Near-universal global coverage; strong multi-language support | Primarily North America and select markets; limited global coverage |
| Pricing model for travelers | Free forever for travelers; Plus $8.98/mo, Pro $28.98/mo for higher plan limits; hosts pay per completed booking | Free to use; revenue from ads, sponsored placements, and booking commissions | Free to use; revenue from ads and local business promotions | Free to use; revenue from advertising packages sold to businesses |
TripAdvisor
A massive travel review and booking platform with millions of user-generated reviews, but recommendations can be influenced by paid placements and sponsored listings.
Google Maps / Google Travel
A ubiquitous mapping and local discovery tool with reviews and booking integrations, though rankings can be affected by ads and SEO rather than pure relevance.
Yelp
A popular local business review and discovery app, but primarily focused on North America and other select markets, with limited global coverage and no AI concierge.
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