Future Vision
We orchestrate modules into a defensible system, not a pile of features. Copying a button won’t replicate our economics.
Scenario Forecasts
Pessimistic / Base / Aggressive scenarios, with assumptions you can recalc. Updated monthly with GA signals.
$1,000 Radar Challenge
Demonstrate a simpler, faster, more beneficial local-buying solution than Radar—win the prize.
We Bring Business Ideas to Life
We chose a limited, low-noise MVP in Shiraz to learn fast, fix fast, and tune module connections before any nationwide launch.
Because there is no national launch yet, national-scale metrics would be misleading. We anchor public web reporting to the current GA property (Jan–Today 2025), and report Android installs separately (approx. 40k, may be more/less).
Due to macro conditions, we accelerated an international launch path. Some data-first modules will be fully operational only after their data thresholds are met.
Methodology Over Marketing
We define success metrics per problem solved; publish ranges not single numbers; and keep a transparent calibration trail.
Data-First Gate Tests
Activation → Repeat/Retention → Unit Economics. Modules operationalize only after hitting their data thresholds.
Why You Choose Us
No paywall for ordinary users. Costs are on businesses; user adoption powers the flywheel.
Multi-source revenue portfolio. If one stream dips, others compensate—no single-point dependency.
Privacy-by-design. Consent-based data, KYC for payouts, and anti-abuse layers.
Systemic defensibility. The value comes from orchestration (Radar+Begir+Board+Pulino+Zoyan), not a single UI control.
A Connected System > A Pile of Features
Radar (local demand fulfillment) works with Begir (private RFQ), Board (consent-based ads), Pulino (user income), and Zoyan (operator assistant). We lock Radar in a city until supply thresholds are met, then the flywheel lights up: demand → reply → chat/visit → offline purchase/referral → consented behavior data → optimization → resilient revenue.
Facts and Numbers (Web • GA Jan–Today 2025)
≈ 94k
Active Users
≈ 112k
New Users
≈ 308k
Views
≈ 870k
Events
Android installs: ≈ 40k (approximate; reported separately for measurement hygiene).
Seller CPC/Session
Qualified views/chats/referrals to seller sites.
Board (CPC/CPA)
Consent-based targeting; lower budget waste, better ROAS.
Pulino (User Income)
Payout/revenue-share with KYC + anti-abuse.
B2B Analytics
Demand insights and operational dashboards.
Zoyan (Later)
Premium assistant subscription in advanced phase.
Account Top-Up
Live now for businesses with sites; strong acceptance.
Design logic: not dependent on one or two streams—each covers others. If one underperforms, the portfolio compensates. User adoption is the engine: more users → more supply → more interactions → platform + user revenue (Board/Pulino/…) + consented data → optimization and better ROAS → stronger word-of-mouth.
- Policies: No paywall for ordinary users. Business-paid, transparent value. Privacy-by-design.
- Funnel KPIs: RFQ → quote → offline purchase/referral (conversion, time-to-first-quote, seller SLA).
- Supply KPIs: leads → onboarding → activation → retention (ARPA, session-to-chat).
- Loyalty: cohort retention (D7/D30), depth of interaction (RFQ/Board/Pulino/Zoyan).
How We Report Under Low Data
Performance track (What/How): what we built and why; gate tests (Activation → Repeat/Retention → Unit Economics); data thresholds that trigger operational rollout.
Scenario track (Forecasting): conservative/base/aggressive scenarios with explicit assumptions (activation, seller participation, CPM/CPA, payout frequency, ARPU, SLA). We update monthly with new GA signals and keep a visible calibration history.
Judge Our Forecasts Without Historical Revenue — Stress-Test These
Don’t trust claims—stress-test the mechanism with only public info on our site.
Radar (Local Fulfillment)
- Is there any software worldwide that makes local buying/selling simpler, faster, and more beneficial than Mazzaneh Radar?
- Does it beat Radar on TTT, conversion, seller SLA/coverage (without higher overhead), and cost-to-serve—in practice?
Board (Advertising)
- What channel identifies and shows ads to true targets more precisely—with ≈ <5% budget waste?
- To reach the same feature awareness among real targets, what alternative stack and cost would be required elsewhere?
- Real target followers, persistent surface (posts/proofs over 6 months), geo/gender/job/interests/count/age filters, from millions down to a small remote shop?
- Broadcast important social messages to specific cohorts with the same control?
Pulino (User Earning)
- Which platform offers more earning options—especially from opportunities others never tapped?
- With upcoming additions that multiply income by interests/traits, is there a more personalized earning ecosystem?
My Closet & Taste Profiling
- Who solves fit/style uncertainty and the daily “what do I wear?” while transforming sell-through for fashion better than this approach?
Deep Analysis (For Businesses)
- Where else do you see consent-based, user-centric data stitched from day one to deliver operational insight of this depth?
Zoyan (Operator Assistant)
- Which assistant actually does work (follow-ups, first-line replies, reminders, prioritization, reporting) and for users handles ordering, My Closet, Radar coordination—then self-personalizes deeply over time?
- Have you seen marketing/acquisition rely this much on an operator assistant whose capability instantly expands as the platform grows?
$1,000 Mazzaneh Radar Challenge
If you can demonstrate a practical solution that is simpler, faster, and more beneficial than Radar for buyers, sellers, and society, we’ll pay $1,000.
Evaluation Criteria
- Time to Transaction (TTT)
- Conversion (request → quote → purchase)
- Seller SLA & geo/hour coverage (without costly overhead)
- Cost-to-Serve for local sellers
- Consent/Privacy & anti-abuse posture
- Portability across cities without brittle dependencies
FAQ: “Why trust your forecasts without historical revenue?”
Short answer: Don’t trust claims—stress-test mechanisms.
- We publish assumptions and show scenario ranges.
- We recalibrate monthly with GA-based signals.
- We invite public stress-tests of Radar, Board, Pulino, My Closet, Deep Analysis, and Zoyan.
- We run a $1,000 challenge on Radar.
- Need depth? We can proceed with a Data Room under NDA.