Stringers
Mobile App · iOS · written 11-6
D
DlandTables: Aviso Restaurante (fr store name Alerte Restaurant / us store name Dining Alerts) · Alban Combaud

A French developer's Disney table-alert app hit #7 on Armenia's Top Grossing travel chart, but it hasn't really taken off yet

What it is A reservation-alert tool for restaurants at Disney parks (Paris, Florida, California, Tokyo). You pick a restaurant, date, and party size; when someone cancels, it pushes a notification or emails you, and you book on Disney's site yourself. Subscription is weekly, €3.99 a week.

Why it's getting attention Strictly speaking, it hasn't taken off yet. It has bounced around the Top Grossing travel charts of low-barrier small countries like Armenia and Mexico, most likely pushed up by a handful of subscriptions (inferred). The underlying demand is real: popular restaurants fill up 60 days in advance, and the only option is to watch for cancellations.

CHow you could follow it Don't build another Disney table alert. Take its playbook (weekly pricing, one SEO page per bookable item across multiple languages, comparison pages that name competitors) and apply it to "can't get in" scenarios nobody is watching: popular campgrounds, trendy restaurants, visa appointments. Then recruit local travel bloggers to demo it and bring in users.

C grade: the pricing and SEO playbook is worth studying, but DlandTables itself has only about 2,700 users after two years, and the App launch hasn't moved the needle. Paris already has DLP Tables with creator-driven word of mouth; the US has an app with thousands of ratings plus a permanently free competitor. Following this path in that market isn't worth it. Few people know about it yet
Data (updated daily) · launched 2026-10-14 · US store rating 0 · charted in 11-08 of 3 stores
iOS · best category chart rank · by store
10020010-2810-3111-0311-0511-0837 AM168 Japan196 Brazil
BrazilJapanAM
Data 2026-10-28 → 2026-11-08 (12 days, 12 observations). Lower rank is higher; gaps mean it wasn't charted that day
iOS · rating count · US store
Number of ratings 0
Data day 2026-10-29, only 1 days so far. Apple doesn't give download counts, so rating growth is the proxy

DlandTables helps people going to Disney watch for restaurant openings. You pick a restaurant, date, and party size, and when someone cancels, it notifies you. It started as a website built by French solo developer Alban Combaud 2024 years ago, and the iPhone app only came out in Oct 14. In Nov 4 it reached #7 on Armenia's App Store travel Top Grossing chart and also charted in Mexico, Brazil, Japan, and the US. But as of today it has zero ratings, and it has never charted in France, its home market. A few subscriptions can buy those ranks, so they don't mean it's taken off. This business is also already crowded.

A table you can't book

The about page explains the origin: you plan a trip to Disneyland Paris and want to book Bistrot Chez Rémy (the Ratatouille-themed restaurant) or Auberge de Cendrillon in the Cinderella castle, but every slot is full for the next 60 days. "We went through it too, and DlandTables comes from that frustration."

Fully booked restaurants aren't completely out of reach. Someone always cancels, and the freed slot goes back into Disney's reservation system, so whoever refreshes first gets it. The problem is nobody can refresh nonstop. In August 2024, dlandtables.com first appears in web archives, built to do that watching for you: it checks at intervals, emails you when a matching slot opens, and you book on Disney's official site. It doesn't book for you and doesn't guarantee a table.

Two years later, the site says "2,700+ travellers", "1,100+ alerts created", "800,000+ slot checks" (dlandtables.com, 11-06). For a personal project, that counts as a success; as a business, the numbers are still small.

What it is

  • What it watches: Disneyland Paris, Walt Disney World in Florida, Disneyland California, and recently Tokyo, which the site added.
  • How it alerts you: app push notifications and email. The Oct 21 launch blog states the reasoning plainly: slots go fast, and a push shows on your lock screen so you don't have to wait to open your inbox.
  • How it charges: there's no free plan anymore; the site says "the old free plan is no longer available." Premium is €3.99/week (5 alerts) or €49.99/year (15); Premium+ is €4.99/week (10 alerts) or €59.99/year (30). The US store uses the same numbers in dollars, the UK in pounds, and Japan charges ¥600/week and ¥7,800/year (about page, 11-06).
  • Languages: 8 in total: French, English, Spanish, German, Dutch, Italian, Portuguese, and Japanese.

The most interesting part of the pricing is the weekly billing. A Disney trip is about a week long, and nobody wants to pay monthly to book one table. €3.99 a week sits right at the "a coffee's worth for this trip" price point, while competitors charge per alert (DLP Tables starts at €6 per priority alert) or monthly (MouseWatcher from $19/month). Weekly subscriptions auto-renew by default, so people who forget to cancel after the trip will pay a few more weeks (inferred).

How much it grew

MetricSources
Armenia travel Top Grossing chart10-28 #11, slid all the way to 11-03 #123,11-04, then bounced back to #7,11-06 #25App Store Armenia store
Mexico travel Top Grossing chart10-30 #85, slid down to 11-06 #155App Store Mexico store
US / Brazil / JapanUS store charted only on 10-29 (#158); Brazil #108→#142; Japan first charted on 11-06 at #110App Store, by store
France / UK / GermanyNever chartedApp Store by store, as of 11-06
Rating0 stores in total, 0 new per dayApp Store,10-28 → 11-06

An app that jumps from #123 to #7 on a single day means its chart only sees a trickle of purchases, and one €49.99 annual subscription is enough to push it into the top ten. Japan 11-06 is its first time charting, and the timing lines up with the website adding Tokyo and showing yen prices (inference). Whether the Armenian payments come from locals or from tourists using a foreign-store account can't be told from the outside.

The more accurate read: there are a few real payments, but no sign of it taking off.

Where users come from

Mostly search. The site has a page for each of 233 restaurants and attractions, each with menus, prices, how to book, and how to set alerts, multiplied across 8 languages. There's also a set of guides (when to book, what to do when fully booked, how to pick a character meal), plus 4 comparison pages naming rivals directly: "DlandTables vs DLP Tables", "vs MouseWatcher", and each rival's "alternatives" page, all published in Oct 20. Search its brand name and nearly everything that comes up is its own pages; almost nobody else mentions it.

In each store it uses a local name: "Alerte Restaurant" in France, "Aviso Restaurante" in Mexico, "Alerta de Mesa" in Brazil, "レストラン空き通知" in Japan, "Dining Alerts" in the US. It's low-cost ASO that one person can do, targeting the search terms users type in their own language.

After the app launched, it put download buttons on the website homepage and the about page, and removed the free plan, pushing older users toward the app and paid tiers.

No TikTok videos about it turned up, and X, Reddit, and review sites don't index it. The only mention I could find is one post in a Disneyland Paris Facebook group titled "Does the Dland Table app work for booking Disneyland Paris tables?", with the body behind a login wall.

Who it's competing with

This space is already saturated. The US has two parks with established player communities, Paris has long-running local services, and new ones have kept appearing from 2025 to 2026.

ProductFormScaleHow it differs from DlandTables
DLP TablesWebsite, live since 2022 years agoClaims to have helped users find 831,828 tablesParis only, English and French only, no app; first alert free, then €6/alert or €15/month. Its Paris word of mouth is strong.
MagicTableiOS / Android, 2022-125,824 US ratings averaging 4.8 stars, claims 100k+ usersAlso has app push notifications and a free first alert, mainly focused on the two US parks
StakeoutiOS,2021-09US: 7,003 ratingsPush plus SMS, mostly US users
MouseDiningWebSeveral review sites call it the most popularThe first 6 alerts are free, then $9/month or $90/year
MouseWatcherWebReview sites call it the most popular paid alertFrom $5/alert or $19/month, English only, covers Hong Kong and Aulani
Thrill DataWeb, from 2019Covers all four Disney resortsUnlimited free alerts, undercuts every paid option on price
DreamTable, ParksPaliOS,2025–2026331 and 1 ratingsNewly launched App
Park Drop, SupaPark, MouseNotifier and othersWeb, 2024–2026Not verifiedEveryone's writing "2026 best Disney reservation reminder" articles, all chasing the same search traffic

In Paris, DLP Tables has something DlandTables doesn't: other people vouching for it. On May 8, English travel creator @chloedisneydreaming posted a video opening with "Have you heard of DLP Tables? This site is the secret trick for getting last-minute restaurant reservations at Disneyland Paris", 34k views; on May 25, Spanish creator @pardeplanes posted "there's a much smarter way to eat at Disneyland Paris", 23k views. Several Spanish Disney travel agency accounts also posted videos on 9 and October teaching people to use it (TikTok). All of this was organic, not bought by DLP Tables.

DlandTables' pitch of "push alerts in Paris too" holds up against DLP Tables, but MagicTable and Stakeout already have apps, and they're just weak in Paris. Its comparison page happens to leave out MagicTable.

What to learn from it

  1. A one-time need, priced weekly. Reservations, ticket grabs, visa appointments, popular campsites, concert refunds: these are needs where you want it now and don't after. A small weekly charge is cheaper than monthly, lowers the paywall, and auto-renewal captures extra revenue.
  2. One page per venue, multiplied by languages. 233 restaurants × 8 languages, filled from a template by one person, targeting long-tail queries like "[restaurant] fully booked".
  3. Comparison pages that name the competitor. People searching "DLP Tables alternatives" already know what they want and only need a reason to switch. These pages convert the most directly.
  4. A local name for each store. Rewriting store titles per country costs almost nothing.

None of these four moves is new on its own. What's rare is one person combining them on a very narrow need.

If it were you

C. Worth learning from, not worth chasing Disney reservations. The need is real and the pricing is smart, but after two years DlandTables has only gathered a couple thousand users, and its app hasn't scaled either. Paris already has DLP Tables with built-in creator word of mouth, the US has apps with several thousand ratings, and Thrill Data is a free option that's permanent. Another Disney reservation alert would struggle to find a spot.

Who it's for: indie devs who can write scrapers, do programmatic SEO, and are willing to pick a "fully booked" scenario nobody is watching yet. Examples: popular national park campsites, Michelin or trendy restaurant reservations, visa and driving test appointments, train ticket refunds in a given country.

Who it's not for: people who want to build yet another Disney reservation alert, or who plan to differentiate with "we also have app push".

How to do it:

  1. Find a scenario where slots sell out 60 days ahead but people keep cancelling every day, then check whether people on Reddit or Facebook groups ask "is there a tool that watches for openings".
  2. Speed of catching openings is the only real moat for this kind of product. Get faster than existing competitors first, then think about everything else.
  3. Price like DlandTables: charge per trip, weekly subscription or one-time payment, not only monthly.
  4. Web first, app later. The web captures SEO, and the app just delivers alerts faster.

How to get users: programmatic SEO as the base, one page per bookable venue and one set per target language. Then copy DLP Tables rather than DlandTables: find travel creators and travel agencies for the destination and have them demo "what to do when it's fully booked" in short videos. That's the piece DlandTables lacks.

When to do it before: the Disney angle has no window left, it's already sold out. For other scenarios, launch two to three months before the local peak season opens bookings, when search and demand start to surface.

Signs we misjudged: if in three months DlandTables is holding steady in the top 100 of the France or UK travel Top Grossing charts with ratings in the dozens to hundreds, that would mean "multiple languages + weekly subscription + app" can actually take users from DLP Tables in Paris, and then it's worth a closer look. Conversely, if it still has zero ratings and only flickers on small-country charts, the lesson is: winning in this category depends on word of mouth and speed of catching openings, not on pricing or page count.

iOS store page ↗

Research notes: competitor table, acquisition evidence, full research report
Competitors
NameWhereLaunchedScaleHow it differs from this one
MagicTable: Mouse WatcheriOS2022-12-11US store: 5,824 ratings, 4.8 stars; claims 100k+ users; charted in ar / mx / pe Travel Top Grossing at #21–46Also has app push, plus a free first alert; mainly covers two US parks, weak in Paris; DlandTables' comparison page doesn't mention it
StakeoutiOS2021-09-22US: 7,003 ratingsApp-only, push + SMS, mostly US users
DLP TablesWeb2022 years agoClaims to have found 831,828 tables; Spanish and English creators promote it organically on TikTok (2–30k views per video)Paris only, English and French only, no app, first alert free, €6/alert or €15/month; its Paris word of mouth is the strongest
MouseWatcherWebMany years (unverified)Review sites call it the most popular paid alertFrom $5/alert or $19/month, no app, English only, broader coverage (Hong Kong, Aulani)
MouseDiningWebMany years (unverified)Review sites call it the most popular6 free alerts, then $9/month or $90/year, mostly US
Thrill DataWeb2019130+ park data siteUnlimited free alerts, covers WDW / DLR / DLP / TDR
DreamTable: Mouse WatcheriOS2025-09-03331 ratingsNewly launched similar apps, mostly US
Park Drop / SupaPark / MouseNotifier / Reserve the Magic / ThemeParkIQ / ParksPalWeb2024–2026Not verifiedAll compete for "best Disney dining alert" style searches, mostly US-focused
Disney's official app / Tokyo official booking siteBig-company features——Booking only, no alerts for openings
Where users come from
  • Confirmed SEO (programmatic restaurant pages + competitor comparison pages): 233 restaurant / event pages × 8 languages, guide articles, 4 vs / alternatives comparison pages (2026-10-20 published); searching the brand name in Exa returns almost only its own pages
  • Confirmed Store ASO (localized names by store): fr Alerte Restaurant / mx Aviso Restaurante / br Alerta de Mesa / jp レストラン空き通知 / us Dining Alerts (appstore.app_name)
  • Confirmed Moving legacy web users to the app: download buttons on the homepage and about page; 10-21 published an app launch blog post; free tier removed
  • Inferred Community word of mouth (FB groups): a Facebook Disneyland Paris group post titled "Does the Dland Table app work…"; body behind a login wall, not read
  • Inferred AI assistant entry point (Muse connector): the privacy policy mentions an optional Muse OAuth connector; which platform it is remains unverified
  • Inferred TikTok / X / Reddit / press / ads: TikHub, x-radar, Exa and Brave found nothing; the Meta ad library did not track it

DlandTables (ios_6817578849): Disney restaurant table-availability alert app

Regions checked: our appstore database scanned all regions (115 stores); it has only appeared in the Travel Top Grossing category charts for am / mx / us / br / jp, with focus on fr (the developer's home and core market) and us. As of today: 2026-11-06.

Bottom line

It hasn't actually taken off yet. This is a small site (dlandtables.com) built by French indie developer Alban Combaud starting August 2024, originally only alerting for Disneyland Paris restaurant openings, and it only added native iOS / Android apps in 2026-10-14. The "Top Grossing" ranks on the data card come from very low-bar small-country Travel category charts (Armenia, Mexico, Brazil, plus Japan and the US for a single day each), where a few subscriptions are enough to chart, so they don't show real traction. It has never charted in the home French store. Its iOS rating count is still 0 as of today. The space is crowded with a dozen-plus similar products, and apps like MagicTable and Stakeout have rating counts above 5,000. Its differentiation comes down to three things: weekly subscription priced per "trip", 8 languages, and Disneyland Paris as its home turf. These make sense, but they haven't turned into growth yet.

1. What the data actually says

DateStoreChartsRankSource
10-28 → 11-06am (Armenia)Travel Top Grossing11→16→23→29→37→39→123→7→18→25appstore.chart_rank
10-29usTravel Top Grossing158 (that day only)Same as above
10-30 → 11-06mxTravel Top Grossing85→103→77→96→116→125→139→155 (steadily falling)Same as above
11-05 → 11-06brTravel Top Grossing108→142Same as above
11-06jpTravel Top Grossing110Same as above
Allfr / gb / de—Never chartedSame as above
  • Rating count: 0 in every store, with 0 new per day (appstore.app_day, 10-28 → 11-06). The Apple lookup 11-06 shows the current version as 1.3.0 (released 11-05), rating 0 (itunes lookup, fr store).
  • How to read this: the Armenia Travel Top Grossing chart jumped from 123 to 7 in a single day. That means the app only gets a few sales a day, so one €49.99 annual subscription is enough to push it into the top ten. Its Mexico ranking keeps sliding, and the US chart showed it for only one day. Japan 11-06 first charted at the same time the site added Tokyo Disney Resort and listed yen prices separately (¥600/week, ¥7,800/year). The timing fits, but this is inference, not verified.
  • Scale claims: the homepage says "2,700+ travellers, 1,100+ alerts created since 2024, 800,000+ availability checks" (dlandtables.com homepage, read 2026-11-06). For comparison, the similar DLP Tables homepage says "831,828 tables found for our users" and MagicTable says "over 100,000 people". DlandTables has about 2,700 users over two years in total, a very small base.
  • The recall scoring says it "already has real subscription revenue and is picking up momentum." That is optimistic. The accurate version is "some real paying users, no sign of momentum yet."

II. Competitors (look at the same category first)

This has been done to death. The US parks have a crowd of established players, Paris has long-running local services, and in 2025–2026 a new batch arrived (Park Drop, SupaPark, ParksPal, DreamTable...).

NameFormLaunchedScaleHow DlandTables differs
MagicTable: Mouse Watcher(Velocity Raptor,getmagictable.com)iOS / Android2022-12-11US iOS store: 5,824 ratings, 4.8 stars; claims 100k+ users; Travel Top Grossing #21–46 in ar / mx / pe (appstore library, 11-06)It also has an app with push notifications and a free first alert, focused mainly on the two US parks. DlandTables' comparison page doesn't mention it, and its main pitch, "we're the only ones with app push," doesn't hold against this one.
Stakeout(Wildcard Software)iOS2021-09-22US store: 7,003 ratings (iTunes lookup)App-only, push + SMS, mainly US users
MouseDiningWebSeveral years (exact year unverified)Several reviewers call it "the most popular free / paid alert tool" (seconddadtotheright.com, wdwprepschool.com)6 free alerts, $9/month or $90/year; mainly US
MouseWatcherWebYearsCalled "the most popular paid alert tool" (seconddadtotheright.com); covers Paris, Tokyo, Hong Kong, AulaniFrom $5 per one-off or from $19/month, no app, English only. DlandTables wrote a dedicated comparison page targeting it.
DLP Tables(dlptables.com)WebAlready around 2022 years ago (a Reddit r/disneylandparis thread from 2022 has people recommending it)Claims to have found 831,828 tables; Spanish and English influencers promote it on TikTok unprompted, e.g. @chloedisneydreaming with a 34k-view video, @pardeplanes with a 23k-view video (TikHub); there is a usage guide on crepesandcastles.comParis only. First alert free, priority alerts €6 each or €15/month. No app. It is DlandTables' direct rival in Paris and the real leader in that market.
Thrill DataWebStarted park data in 2019Covers WDW / DLR / DLP / TDR, unlimited free alertsFree, and it squeezes every paid option on price
DreamTable: Mouse Watcher(Evergreen Apps)iOS2025-09-03331 ratingsNew app-based competitors
ParksPal: Wait & Dining AlertsiOS2026-06-171 ratingsNewcomers
Park Drop, SupaPark, MouseNotifier, Reserve the Magic, ThemeParkIQWebLaunched gradually in 2024–2026Not verifiedAll publishing "best dining alert 2026" SEO content, competing for the same search traffic as DlandTables
Disney officialBig-company features——The official Paris app has no table-availability alerts (DlandTables wrote a guide, "Official app or alert service?", to address this). The official Tokyo reservation site lets you book but not get alerts.

III. Growth levers (where users come from)

  1. SEO, confirmed, the main engine. The site has 233 restaurant / event pages, each with menu, prices, booking and alert info; 8 languages (fr / en / es / de / nl / it / pt / ja); a batch of guides (when to book, what to do when fully booked, character dining, Disney Village); 4 comparison pages, "DlandTables vs DLP Tables", "vs MouseWatcher", plus each rival's "alternatives" page, all dated 2026-10-20. An Exa search for "DlandTables" returned 30 results that were almost all its own pages, so the on-site content is thorough but there is little external mention.
  2. Store ASO, confirmed. The same app uses different localized names by store: fr "Alerte Restaurant", mx "Aviso Restaurante", br "Alerta de Mesa", jp "レストラン空き通知", us / am "Dining Alerts" (appstore.app_profile). A cheap way to capture long-tail search terms in each country.
  3. Moving old web users to the app, confirmed. After the app launched, the homepage and about page got download buttons; 10-21 published the blog post "DlandTables arrive sur iPhone et Android"; the free plan was also discontinued ("the former free plan is no longer offered"), pushing old users toward paid tiers and the app.
  4. Community word of mouth, small. A post in the Facebook Disneyland Paris group (group 1243811412973236) is titled "Does the Dland Table app work for booking Disneyland Paris tables?", showing real users asking, but the body is behind a login wall and wasn't read, unverified. There is also an Instagram account @dlandtables (follower count not visible without login).
  5. Not found. A TikTok search for "dlandtables" returned no relevant videos and no official account (TikHub, 11-06); local X corpus has 0 posts in the past year (x-radar); Reddit, media and review sites (wdwprepschool, parkdrop rankings etc.) don't list it; the Meta ad library didn't track it (the library only covers listed advertisers, so no result doesn't mean no ads).
  6. Other leads. The privacy policy mentions an optional "Muse connector" (OAuth, can read/write alerts and purchases), which looks like an entry point into an AI assistant / chat app, possibly to route users from an AI assistant. Which platform it is remains unverified.

IV. Why it (has or hasn't) taken off

  • The need is real and one-off: popular restaurants are fully booked 60 days ahead (about page), and cancelled slots have to be watched for. Parents will pay a little for a trip.
  • The money comes from its pricing: €3.99/week (5 alerts) fits a "one-week trip," while rivals charge €6 per alert or from $19/month. Weekly plans with auto-renewal mean some people forget to cancel after the trip, which is a hidden revenue source.
  • It targets the Paris niche that US players neglect, plus multiple languages: Disneyland Paris visitors come heavily from the UK, Spain, the Netherlands, Germany and Italy. DLP Tables only offers English and French, and MouseWatcher only English.
  • But the scale is still small: about 2,700 users over two years; no influencers, no media, no ads. Paris influencer traffic is taken by DLP Tables, and influencers who promote DlandTables do so on their own initiative.
  • "App push" as a selling point was already taken by MagicTable and Stakeout, though those two are not strong in Paris.

5. Differentiation

  • What it does have: (1) weekly subscriptions, cheap, matching a "single trip"; (2) 8 languages plus localized app names per store; (3) Paris, the two US parks and Tokyo in one account; (4) a native app with push in Paris (DLP Tables has no app).
  • Why it hasn't taken off yet: it hasn't yet. These differences are clearly explained on its SEO comparison pages, but they haven't turned into visible volume. The speed of catching openings, the factor that would actually separate it, is not publicly reported. Paris word of mouth and influencers sit with DLP Tables, and the US market has MagicTable, Stakeout, MouseDining and the free Thrill Data.

6. What to take away

  • "One-off need + weekly subscription" pricing: for travel, event and ticket-hunting tools, use a weekly price like €3.99/week in place of monthly billing to lower the barrier to paying, with auto-renewal adding some extra revenue.
  • Programmatic SEO that builds "one page per restaurant × 8 languages" plus "vs / alternatives" pages that name competitors directly. A solo builder can copy this for any vertical need around monitoring, restocking or refunds.
  • Create a localized app name for each store to capture long-tail search terms in each country.

7. Visibility and copycats

  • Visibility: few people know about it yet. No TrustMRR listing, no revenue posts, and X / Reddit / media mentions are 0; only one Facebook group post mentions it.
  • Copycats: none specifically copying it. The category was already crowded, and newer entrants ParksPal, DreamTable, Park Drop and SupaPark aren't copying it.

VIII. Unknowns

  • Actual paying users and revenue; whether the Armenia chart reflects real local users or VPN / cross-store accounts.
  • Alert frequency and success rate, and how it compares with DLP Tables and MagicTable on speed.
  • Which platform the Muse connector is linked to, and how much traffic it could bring.
  • Whether it runs Google / Meta ads (our library doesn't cover it).
  • Android install count (not in the googleplay library).

Sources

This article was written by AI from public data and the data we collect daily. Numbers are sourced, and inferences are labeled.