Invest in Dolmapp
Transit accuracy, where it breaks.
Commuters don’t fail because they’re disorganized. They fail because bus and minibus information is incomplete, delayed, or wrong. Dolmapp is building a local-first routing and guidance layer for Istanbul—starting with the minibus network where uncertainty is highest.
Route semantics
Direction-aware stop order
Decision support
Board / alight guidance
Pricing clarity
Fare estimate included
Thesis
The hardest layer is the most valuable.
The “generic transit app” category is crowded, but accurate minibus guidance is not. When information quality improves, commuters save time, cities reduce friction, and a defensible data layer emerges.
Why this category matters
$900M signal
Moovit’s acquisition underscores the strategic value of transit + mobility data and commuter attention.
City scale (Istanbul)
15.7M people
A single city large enough to justify a specialized, high-accuracy transit layer.
Daily transit intensity
600k/day (rail)
High ridership suggests high-frequency, high-stakes decisions where timing accuracy matters.
The market problem
People can’t locate buses when it matters.
At the stop, the question is simple: “Is my bus coming, and which one is actually going my way?” Today, commuters stitch together guesses: route names that match but directions that don’t, live maps that lag, and informal lines missing from official feeds.
Uncertainty compounds
Information delay
You walk too early or too late.
Direction ambiguity
You board the wrong side of a line.
Missing informal routes
The best option isn’t shown at all.
A day in the city
1
Crowded stop. No clarity.
Three lines pass. Two look similar. Nobody can confirm the direction.
2
You pick based on vibes.
You board, then realize the route name matches but the direction doesn’t.
3
You walk more than planned.
Wrong stop, wrong side of the road, wrong transfer timing.
4
You arrive… but stressed.
It works, but only because you improvised the whole way.
The investment question: can we turn this daily ambiguity into a productized, defensible data layer?
The solution
Dolmapp turns uncertainty into a plan.
We don’t just show lines. We guide the actual decision: which minibus is correct, which stop is best to board, and when to move. The core advantage is route semantics—direction and ordered stops—so suggestions match how minibuses actually run.
Direction-aware suggestions
Prefer the direction where your destination comes after your origin—based on ordered stops.
Board / alight guidance
Highlight the best stops to get on and off, not only the line number.
Fare estimate included
Give a distance-based estimate so riders prepare before boarding.
Local-first data layer
Start with Istanbul and go deep, building a dataset and routing logic optimized for the city.
Market analysis
A city-scale wedge, then repeatable playbook.
Istanbul is large enough for a city-specific product. The broader opportunity is a repeatable approach: take the hardest local layer (informal routes, weak feeds, messy stop names), build a verified dataset + routing logic, then expand to adjacent cities with similar complexity.
Bottom-up sizing (transparent)
SAMIstanbul commuters who use buses/minibuses weekly × a small annual value per commuter.
SOMStart with minibus riders: highest ambiguity, highest value for better guidance.
ExpansionRepeat in other high-density cities where informal routes exist and official data is thin.
Internal dataset (routes)
340 routes
Computed directly from the bundled Istanbul minibus dataset shipped with this product build.
Internal dataset (stop entries)
9,284 stops
Stop entries across directions, computed from the bundled ordered-stop dataset.
Why this category matters
$900M signal
Moovit’s acquisition underscores the strategic value of transit + mobility data and commuter attention.
Reuters: Intel buys Moovit for ~$900M (2020)City scale (Istanbul)
15.7M people
A single city large enough to justify a specialized, high-accuracy transit layer.
TurkStat via Anadolu Agency: Istanbul population ~15.7M (2024)What’s defensible
The data layer becomes the product.
The moat isn’t a generic UI. It’s a dataset with ordered stops, direction semantics, and routing heuristics tuned to the reality of how minibuses operate. That unlocks consumer trust, then B2B licensing and operational tools.
Monetization paths
Consumer premium
Advanced guidance, saved trips, faster discovery, and reliability signals.
Data/API licensing
Structured routes + stop order + scoring exposed for partners and operators.
City dashboards
Coverage gaps, route ambiguity hotspots, and performance insights.
Live tracking partnerships
Expand real-time availability route-by-route; monetize integrations.
Replace these with validated traction metrics (retention, MAU, coverage, live tracking adoption) as the product scales.
Commuter reality
The problem is emotional—and measurable.
These are anonymized, illustrative excerpts from commuter interviews. Replace with verified quotes as the product ships at scale.
“I lose time twice—waiting, then walking because I guessed the wrong stop.”
Office commuter (Kadıköy)
Weekday mornings
“The line name matches, but the bus goes the other way. I only learn after I’m already on it.”
Student commuter (Üsküdar)
Transfers + minibuses
“If I knew the right minibus and when it’s coming, my whole day would feel less chaotic.”
Shift worker (Bakırköy)
Timing-sensitive
Competitive matrix
Dolmapp vs. Moovit (and why specialization wins)
Moovit is an Israel-based mobility app and one of the best-known incumbents in transit routing. Dolmapp competes by going deeper on the hardest local layer: minibuses where official data is thin and the cost of choosing wrong is minutes you don’t get back.
Purpose-built for Istanbul minibus/dolmuş routing
Dolmapp
Moovit
Dolmapp is optimized for local line behavior and stop ordering; Moovit is multi-city and multi-modal.
Direction-aware ranking (destination after origin on stop order)
Dolmapp
Moovit
Stop-order logic is central to Dolmapp’s suggestions; other apps may not model informal routes the same way.
Board / alight guidance (best stop suggestions)
Dolmapp
Moovit
Dolmapp emphasizes where to get on/off, not only which line.
Fare estimate for informal transit
Dolmapp
Moovit
Dolmapp includes estimates tuned to local tariff logic where available.
Works when official real-time feeds are missing
Dolmapp
Moovit
Dolmapp can operate on curated stop/route datasets and inference; real-time requires integrations.
Global coverage and multi-modal trip planning
Dolmapp
Moovit
Moovit is a global incumbent; Dolmapp wins on depth in a single city segment.
Data layer as a licensable product (API / dashboards)
Dolmapp
Moovit
Both can support B2B offerings; Dolmapp’s differentiation is local accuracy and route semantics.
| Capability | Dolmapp | Moovit | Notes |
|---|---|---|---|
| Purpose-built for Istanbul minibus/dolmuş routing | Dolmapp is optimized for local line behavior and stop ordering; Moovit is multi-city and multi-modal. | ||
| Direction-aware ranking (destination after origin on stop order) | Stop-order logic is central to Dolmapp’s suggestions; other apps may not model informal routes the same way. | ||
| Board / alight guidance (best stop suggestions) | Dolmapp emphasizes where to get on/off, not only which line. | ||
| Fare estimate for informal transit | Dolmapp includes estimates tuned to local tariff logic where available. | ||
| Works when official real-time feeds are missing | Dolmapp can operate on curated stop/route datasets and inference; real-time requires integrations. | ||
| Global coverage and multi-modal trip planning | Moovit is a global incumbent; Dolmapp wins on depth in a single city segment. | ||
| Data layer as a licensable product (API / dashboards) | Both can support B2B offerings; Dolmapp’s differentiation is local accuracy and route semantics. |
“Partial” indicates availability varies by city, data access, and mode coverage. This is a product-level comparison intended for context, not a claim about any company’s quality.
Primary incumbent reference: Moovit (Israel-based). Sources: Reuters: Intel buys Moovit for ~$900M (2020).
Projections (illustrative)
A model you can interrogate.
Strong consumer retention; partnerships start; monetization split across B2C + B2B.
Assumptions
Monthly active commuters
65k → 260k (3 yrs)
Paid conversion (consumer)
0.8% by year 3
B2B contracts
1 → 5 (3 yrs)
Blended ARPA (annual)
$0.70 → $1.60
Replace assumptions with audited actuals when available. This is a planning tool, not guidance.
2026
MAU
65k
Revenue
$240k
Gross margin
74%
Burn
$480k
2027
MAU
150k
Revenue
$720k
Gross margin
79%
Burn
$680k
2028
MAU
260k
Revenue
$1.7M
Gross margin
82%
Burn
$820k
3-year shape
Users / Revenue / Burn
2026
2027
2028
Users
Revenue
Burn
Investment opportunity
Clear use of funds. Clear milestones.
This section is intentionally structured like a memo. Replace placeholders with your current round details and verified traction.
Round
Seed / pre-seed (TBD)
Target raise
$1.0M – $2.5M (TBD)
Use of funds
Coverage + live tracking + growth
Runway
18–24 months (target)
Milestones (example)
Expand and verify minibus coverage; reduce ambiguity on top corridors
Ship live tracking where available, with clear reliability signals
Improve routing ranking; measure time saved per trip and retention
Pilot B2B licensing (API / dashboards) with 2–3 partners
Not investment advice. Details are placeholders until a formal deck and diligence package is shared.
Call to action
Invest in a calmer commute.
If you’re evaluating mobility infrastructure, consumer transit, or data products, Dolmapp is building a city-level accuracy layer where incumbents stay generic.
Contact: invest@dolmapp.com
What you get
Full investor deck (market, strategy, roadmap)
Dataset + routing methodology overview
Go-to-market and monetization plan
3-scenario financial model (editable)
This page is informational and not an offer to sell securities.
Sources referenced on this page: Reuters: Intel buys Moovit for ~$900M (2020) · TurkStat via Anadolu Agency: Istanbul population ~15.7M (2024) · Türkiye Today: Marmaray daily avg ~600k; total 1.226B since 2013
© 2026 Dolmapp
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