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Project A (Faladdin)

AI fortune-telling and astrology app: tarot, horoscopes, coffee-cup readings, palmistry, and live chat readers.

HQ AEPayments revenuecatSite faladdin.com
Consumer
Data as of 2026-06-14

Overview

aggregated · editorial
TL;DR: Project A industrialized an existing paid ritual, Turkish coffee fortune telling, by removing the human teller: marginal cost per reading collapsed toward zero while willingness to pay stayed intact, and 72 days of tracked charge data show roughly $283k gross across 55,463 micro-charges averaging $5.10.(as of Jun 2026)
Category
Consumer
Payments
revenuecat
HQ
AE

Financials

TrustMRR · est. modeling
Monthly recurring revenue
MRR history accumulates from our daily snapshots. TrustMRR has no history API.

Funding & investors

not yet sourced
Funding data coming soon

Rounds, investors, valuation and capital-efficiency metrics aren't sourced for Project A (Faladdin) yet. We never estimate funding: every figure here carries its citations.

Traffic & SEO

not yet sourced
Traffic data coming soon

Domain rating, organic keywords, backlinks and channel mix light up once a traffic provider is wired in.

Pricing & monetization

not yet sourced
Structured pricing coming soon

We capture pricing as structured tiers, comparable across competitors, rather than scraping a screenshot. Project A (Faladdin)'s tiers haven't been modeled yet.

Competitive landscape

not yet sourced
Competitor set coming soon

A category model places Project A (Faladdin) against its peers on pricing, take-rate and estimated ARR.

Social & community footprint

not yet sourced
Community footprint coming soon

Follower counts and growth across platforms appear once social APIs are connected. We deliberately omit any named individuals.

The TeardownHQ playbook

premium · editorial
TeardownHQ editorial25 min readv1

How the founder turned a coffee-cup ritual into a 50M-download fortune machine

Project A (Faladdin): automating a culturally embedded paid behavior instead of inventing a new one

  • 01Executive Summary
  • 02Part 1: The Product
  • 03Part 2: The Founder
  • 04Part 3: Market & Strategy
  • 05Part 4: Growth & Financials
  • 06Part 5: The Replicable Playbook
  • 07Sources
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Executive Summary

Project A, listed on TrustMRR under that name and identifiable from listing metadata as Faladdin, works because it did not create demand. It automated a payment that already existed. Turkish coffee fortune telling is a centuries-old ritual where a human reader interprets coffee grounds for money. The company first built a marketplace that connected human tellers to customers, then replaced the teller entirely with templated, AI-assembled readings. The founder described the move directly: a self-driving Uber, remove the driver, keep the vehicle.1 That single substitution collapsed the marginal cost of a reading from a human's 15 minutes to approximately zero, while the customer's willingness to pay and emotional attachment stayed intact. Everything else, the ad-supported free tier, the $5.99 weekly subscriptions, the astrology re-skin for Western markets, is monetization layered on top of that one compression.

The evidence is unusually concrete for a consumer app. Press coverage from 2019 and 2020 documents 15M then 20M+ downloads, roughly 1M readings per day, 5M monthly actives, and about $5M annual revenue with 60% from ads.12 The company site now claims 50M downloads.3 Local TrustMRR charge data, tracked via RevenueCat since March 28, 2026, shows $282,971 in gross charges over 72 days (March 30 to June 9, 2026) across 55,463 charges, an average charge of $5.10, with daily gross rising 71% from the first half of the window to the second. That history is gross charge volume, not audited recurring revenue.4 The owner has the asset listed for sale at $5M, roughly 5.1x the listing's last-30-day revenue figure, with ad revenue explicitly excluded from the tracked numbers.5

The operating pattern a founder can copy this week is not "build an astrology app." It is: find a ritual people already pay humans for, intermediate it with a marketplace to learn the format, then automate the supply side once you know exactly what the output artifact must look like.

Thesis componentEvidenceConfidenceOperator implication
Demand pre-existed; no category creation neededFortune telling is an established paid service in Turkey; tellers earned above minimum wage; dedicated fortune-telling cafes operate in Istanbul (Rest of World, 2020)Verified (third-party reporting)Automate existing spend before inventing new spend
Marketplace-first sequencing taught the output formatBinnaz app: human tellers scaled 1 to ~1,000 between 2010 and 2019, 2M+ downloads, before Faladdin launched in Jan 2017Verified (founder interviews, two outlets)Run the manual version until you can spec the artifact, then automate
Automation collapsed marginal cost while price heldReadings assembled from ~6,000 pre-written fortune fragments by ~30 contributors, later fed to OpenAI models; ~1M readings/day servedSelf-reported (founder, in third-party press)Template plus light personalization beats full generation for cost control
Micro-priced, high-frequency monetization55,463 charges in 72 days at $5.10 average; weekly plans priced at $5.99 and $9.99 on the App StoreLocal TrustMRR data plus verified App Store pricingPrice at impulse level; let frequency, not ticket size, build revenue
Localization as translation of format, not featuresCoffee-cup symbolism rewritten as astrology for the US; "tree in your cup" becomes "Mercury retrograde" (founder, 2020)Self-reportedPort the ritual's grammar, not its surface, when crossing cultures
Business still works in 2026Gross daily charges rose from ~$2,900/day to ~$4,960/day across the 72-day window; 10,052 active subscriptions shown on the listingLocal TrustMRR dataThe pattern survived eight years and an AI hype cycle

Footnotes

  1. Rest of World, 2020: https://restofworld.org/2020/faladdin-turkey-coffee-fortune/ 2

  2. Tech Company News, 2019: https://www.techcompanynews.com/meet-faladdin-free-artificial-intelligence-fortune-telling-app-15-million-users/

  3. Faladdin official site: https://faladdin.com/en

  4. Local TrustMRR raw revenue-history snapshot (gross charge data, not audited MRR): /home/algernon/teardownhq-hermes/osint-work/trustmrr_revenue_history/snapshots/20260609T213016Z/raw/project-a.json

  5. TrustMRR listing for Project A: https://trustmrr.com/startup/project-a

6 more sections: the full teardown, sourced and dated.

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