A CodeMyVibe case study · a real client report, published with permission

CodeMyVibe is a one-person consultancy (me, Shakur). Seylou Bakery & Mill is a bakery in Washington, DC, thinking about opening a second location. Their current shop and mill sit in Shaw, a neighbourhood near the centre of the city — when this report says "Shaw" or "the mill", that home base is what it means. What follows is the report I built for them, free, to answer one question: how far can one person with AI tooling and only free public data get at site selection? The report speaks to the owners as "you" — that voice is left intact, so you can read it exactly as the client did. Their private financials have been removed.

Why this report exists

Seylou is a bakery and flour mill in Shaw, Washington, DC. They mill their own grain, their mornings are packed, and in the summer of 2026 the owners were weighing where to open a second location — with their Swedish cardamom buns as the star. I had a question I could not put down: how far could one person with AI tooling get in finding that place, using only their sales history and free public data?

So I built the answer and gave it to them, free. What you are reading is that actual report — the same one the owners received — with one change: their private numbers (revenue, rent, lease terms) have been removed or replaced with percentages, because those belong to them, not the internet. Everything else is real: the 541 addresses, the scoring, the maps, the honest dead ends.

The method underneath is simple to state and picky to execute. A point-of-sale export shows when and what a business actually sells; the US Census, the LODES jobs data, OpenStreetMap and Google Places show who lives, works and trades around every street; an H3 grid ties the two together and scores every cell within a morning's drive. The report speaks to the owners as "you" throughout — I have left that voice intact, because a case study you can read as the client read it beats a sanitized summary.

— Shakur, CodeMyVibe

We found you 541 doors.
We can't tell you which one.

A door here means a shop space that might hold your second bakery — some advertised for rent right now, others officially empty or recently closed, availability still to confirm. Free data found 541 of them and measured the street around each one. It cannot pick the winner. This page shows what it found, where it stops, and what finishing the job would take.

Reading as a business owner rather than a bakery-curious browser? The same analysis exists for any local business with a till and a question about where to open next — codemyvibe.com.

2,003properties we started from
541worth your time
327advertised for rent as of 30 July 2026
133with the owner named
$0spent on paid databases — all costs here
The whole report in five lines
  1. We found 541 doors that could hold a second bakery — some advertised for rent today, some officially registered empty, some recently closed food businesses worth a call — and measured the street around each one.
  2. Every input was free public data: the client's own sales export, the US Census, federal jobs data, OpenStreetMap and Google Places. No paid database, no listings licence.
  3. 89% of this bakery's revenue arrives before 3pm — so the ranking rewards streets that are awake in the morning, not streets that are busy at dinner.
  4. The best few doors score so close together that data alone cannot pick the winner. Only counting real people at the door can.
  5. Want to start looking? Walk 19th Street NW, Pennsylvania Ave. SE and Connecticut Ave NW — three shopping streets in central Washington — at 8am. Most of the top doors are on them.

Everything below is the evidence for those five lines.

Three things this whole report assumes.
• "Shaw" is your home base — the current shop and mill.
• The mill stays put, and the new place is rented, not bought. It gets a morning delivery from the mill (bread, dough, or flour — your call), which is why every door here is within a morning drive.
• The new place keeps your timings: morning-led, with the cardamom buns as the star. All numbers come from your own records (sources in the footnote at the very end). If you are imagining different hours or a different format, say so — the ranking would change.
Your requirements

What you told us matters, and how far data can check it

Four things you named as what a second location must be. For each: how much of it this report can verify, and where only a walkthrough or a measurement can.

A second-generation space — plumbing, electrical, HVAC (heating and cooling) and cafe fit-out already in place, ideally with equipment

84 of 541 doors previously held a food business — filter the table with “prior food fit-out”.

Our nearest proxy: the door previously held a food business. That proves prior food fit-out was possible there, not that the equipment survives — only a walkthrough settles that.

Under a 20-minute drive from Shaw at baking hour

423 of 541 doors sit within an estimated 20-minute drive of the mill.

Estimated from straight-line distance until real drive times are measured; a bridge or one-way system can break the estimate.

A street that is already awake in the morning

119 of 541 doors have at least half the surrounding street trading by 9am.

Share of nearby food and retail open by 9am, from opening-hours data — a proxy for morning footfall, not a count of it.

Part one

Why do mornings decide everything for a bakery?

89% of your shop's money arrives before 3pm. Here is your own till, hour by hour:

08
11%
09
16%
10
16%
11
15%
12
13%
13
10%
14
8%
15
5%
16
2%
17
2%
18
1%

So when we judge a street, we ask one question first: is it awake in the morning? A street can be packed at dinner and empty at 8am. Near your own mill, Le Diplomate opens at 11:30. Tatte is selling coffee at 7:00. Same block, opposite businesses. Only one of them is on your side of the day.

One honest caveat: part of that 89% is your own closing times. But even on days you stay open to 4 or 5, the afternoon brings in about a tenth. Mornings are your business.

Part two

How far does free public data get you?

We pulled three free lists. One: the city's official register of empty buildings. Two: every food business that closed within reach of your mill (we used 42 km in a straight line as "within reach"). Three: every shop currently listed for rent on the free listing websites, gathered by hand on 30 July 2026. Most of it is useless to you. So we filtered:

On the District's register
2,003
every vacant and blighted property
Shop-type premises
205
stores, small retail, small offices
Shop-sized and locatable
180
under 8,000 sq ft, matched to a street address
Closed food units added
+82
former restaurants and cafes across DC, Maryland and Virginia
On the market today
+402
live lease listings, gathered by hand from free sites on 30 July 2026
Within reach of the mill
541
and not so close they eat Shaw's trade

What survives is 541 addresses worth a look — three different kinds of lead, told apart honestly in the table below. Then we measured what surrounds each door: how many people live and work within a kilometre, what share of the street is trading by 9am, how many well-rated bakeries are already there, what else pulls people onto the block, and how far it sits from Shaw.

Start here. These are the doors the data cannot split — every one sits within three points of the top, which this report treats as a tie. Tap any door for its full measurements. The other 541 minus these, sortable, searchable and downloadable, are in The evidence further down.

Two cautions before you read a single rank: inside this band, rank order is presentation, not evidence — treat these as one shelf. And sq ft on register rows is the assessor's plot size, not a unit size; area cost comes from nearby home rents — never budget from it. Published asking rents, where they exist, are in each door's details. The small source label on every row: on market is a live listing, register an officially empty building whose availability is unverified, closed unit a former restaurant worth a call.

133 of them even come with the owner's name from city records. No listings website gives you that. It is a starting point for reaching whoever holds the keys — often a company rather than a person, and the record carries no phone number, which is why report one includes making those calls.

That is substantial value from free data alone. It is not enough to choose a door.

Part three

Where does free data stop?

We gave every door a score from 0 to 100, built from 6 measurements of the street and the door itself:

People nearby
31%
how many people live and work within a kilometre
Awake by 9am
19%
the share of the street's shops open by 9am
Can afford it
12%
whether nearby incomes support a $9 loaf
Good neighbours
19%
small well-rated independents that pull daily trade
Room for a bakery
9%
fewer well-rated bakeries already there scores higher
Previously a food business
10%
a door that already held one likely carries plumbing, venting and fit-out — the cheapest build-out there is
The five ingredients of every score, and how much each one counts. The shares are our stated judgement, not fitted to data — and they are the same for every door.

The best door scores 74. The 25th scores 63. Most neighbours on the list are less than one point apart.

3 doors are effectively tied for first place. Free data cannot break that tie.

747063 3 of the top 25 sit inside the tie band #1 · 325 Pennsylvania Ave. SE#2 · 303 Pennsylvania Ave. SE#3 · 1367 Connecticut Ave NW#4 · 1345 Connecticut Ave NW#5 · 1347 Connecticut Ave NW#6 · 2020 14th St N Ste 150#7 · 229 Pennsylvania Ave. SE#8 · 4948 Fairmont Ave#9 · 1801 L Street NW#10 · 1310 N Courthouse Rd#11 · 1820 L Street#12 · 4101 Reservoir Rd NW#13 · 2001 M Street NW#14 · 1200 19th Street NW#15 · 1120 20th Street NW#16 · 1140 19th Street NW#17 · 400 1st St SE#18 · 1145 19th Street NW#19 · 607 Pennsylvania Ave SE#20 · 1234 19th Street NW#21 · 2303 14th Street NW#22 · 2250 M St NW#23 · 1020 19th Street NW#24 · 209 Pennsylvania Ave. SE#25 · 7715 Woodmont Ave best 25th
Each dot is one address, ranked best to 25th. The shaded band covers three points: scores that close are closer than our data can reliably tell apart, so we call them a tie.

Tap any dot to see which door it is.

That is not a flaw. It is the honest limit: free data describes the street, not the door. (We double-checked that the tie is real and not our own math.) Four things it cannot see:

1. Which doors are really available

The 327 rows marked "on market" were live listings on 30 July 2026, each with a link. The other 214 are leads, not listings: an empty building on a register, or a closed restaurant. Some are already taken. Finding out which means calling — about 5.3 working days of phone time for the full list.

Report one fixes this for the doors that matter: we verify the ten shortlisted doors the same week we measure them, and hand you a list where "available" has a date on it.

2. Who actually walks past at 8am

This is the number that decides everything, and nobody sells it cheap. For this report we used a stand-in: the share of nearby shops that are open by 9am. That is good enough to compare neighbourhoods. It is not good enough to bet a lease on. Report one replaces the stand-in with real measurement:

To be clear: none of this counting has happened yet. It is what report one delivers, and there are three ways to do it — you choose:
• Data only. We buy Google's hour-by-hour busyness data for all ten doors (about $100, included). Cheapest, but nobody has checked whether that data matches reality on these streets.
• Data plus a spot-check (recommended). The same data, plus real people counted at three doors with a clicker and our one-page sheet. The counting can be done by your team during hours you already staff, or by a counter we hire and supervise for approximately $300, billed at cost. Either way, the counts test whether the data can be trusted; if it fails that test, we report the failure and build no forecast on it.
• Professional counts. A commercial service measures visits directly, at approximately $1,000 per month, engaged only with your written approval. The most accurate option; usually justified only if the inexpensive data fails its check.
Unless you direct otherwise, we proceed with the second option.
The full method, step by step (for the curious — nothing below changes the box above)
  1. Collect Google's busyness data at all ten doors and at your Shaw shop (the anonymised phone-activity measure from the box above), the same way, by hour and weekday. About $100 for the set. On its own this ranks streets by trading activity. It is not a people count.
  2. Count real people at three doors — with the clicker in your team's hands. Outside Shaw, and outside two of the candidates on different kinds of street — and if a programmed destination (piers, events, tourism) stays on your list, it is automatically one of the two, counted twice: once on a normal weekday and once on an event day, because a place like that trades in two modes and a single count would flatter or slander it. Two hours each on a weekday morning — the hours your decision actually trades on — and a Saturday repeat at Shaw. We write the protocol (below, in plain sight); your people hold the clicker, because Shaw's pavement is already staffed by you at exactly those hours, and a capture rate this personal should be counted by the people who own it. While they count, whoever is at the counter asks each walk-in one question: did you come to us on purpose, or were you passing? Customers answer their baker more honestly than they answer a stranger with a lanyard. That number matters as much as the count.
  3. Test whether the index actually tracks the counts. Three points is thin, but it answers the only question that matters: does a street scoring twice as high on the index really have twice the people on it? If it does not, we tell you the method failed and we do not build a forecast on it. That outcome is a legitimate result of report one: you would have paid to find out something worth knowing rather than to be handed a confident wrong number. To be precise about what passing proves: it is necessary, not sufficient — three points can expose a broken index, they cannot certify a good one.
  4. Talk to whoever is leaving the space you want. Where a candidate has a sitting or departing tenant, that conversation is the cheapest due diligence there is: their experience of the landlord, the block and the morning trade, for the price of a coffee. You make the visit — a fellow shopkeeper talks to a baker more honestly than to a consultant — and we supply the question list in writing so nothing gets forgotten in the moment.
  5. Full visit counts, optional. Placer.ai and similar measure visits directly rather than inferring them. From about $1,000 a month. Same rule: if we buy them, we buy them for Shaw too. Worth it only if report one says the cheap index is not good enough and you still want the answer.

Steps one to four are inside report one — the data, the protocols, the question lists, and every hour of analysis. The counting hours and the tenant conversation are yours: about six to eight staff-hours — real hours, not free ones, and we will not pretend otherwise; they are the only labour this engagement asks of you, and the counting happens at your own counter during hours you already staff. Step five is not included, and we would ask before spending it. The full protocol — window, hours, rules — goes to you in writing before any money moves, so there is something to hold both of us to afterwards.

If you choose the spot-check, here is the whole counting method on one card. The full version arrives in writing before you pay anything. Tool: any $12 hand clicker, or tally marks on the sheet we send. When: the same two weekday windows at every door — 7:30 to 9:30am — plus one Saturday 8 to 10am at Shaw. What counts: people passing on your side of the street, either direction, in 15-minute blocks — not cars, not the far pavement. At Shaw only: every walk-in gets the doorway question, two tick-boxes. Then: photograph the sheets and send them — keep the originals, because they go into the final workbook, with the chain from tally to model documented, and we re-count one window ourselves on the joint site morning as a spot-check. The arithmetic, the calibration test and the honest verdict are our job. If a candidate door is one you were visiting anyway — and you told us you walk the streets — the count costs you nothing but the clicker.

3. What the rent really is

55 listed units publish a real asking rent. You will see it under the address in the table. Everywhere else, our "area cost" column is an estimate based on nearby home rents, because shop rents are not published for free. The estimate can tell you which areas are pricier. It cannot tell you what a specific unit costs. Do not budget from it.

4. The list leans towards DC — and we tested whether that is fair

304 of these addresses are in DC, 143 in Maryland, 94 in Virginia. DC publishes better data than its neighbours, so to keep that from deciding the answer we swept the suburbs deliberately: twenty-six suburban markets, from Bethesda and Silver Spring to Reston, the Kentlands, College Park and National Harbor, all measured with the same instruments.

The result: the close-in streets still win. Only 4 outer-suburb doors reach the top 150, none the top 25 — and the few that appear get there as former food premises (the fit-out already exists), not because their streets compete on morning trade. Suburban retail is built around car parks, and few of those streets are awake by 9am. The suburbs are on this list and ranked fairly; they are simply behind. Bethesda is the strongest suburban showing.

Washington DC
addresses we can see304
people living there0.70M
vacancy register + closed units + live listings
Montgomery & Prince George's, MD
addresses we can see143
people living there2.01M
no register — closed units and live listings only
Arlington, Alexandria & Fairfax, VA
addresses we can see94
people living there1.59M
no register — closed units and live listings only
The shape of this list is set by which government keeps a register, not by where the good sites are.

What we still cannot see: units marketed only through brokers' paid networks, and deals that never reach a website. More hand-searching can shrink that gap. It costs hours, not money.

Part four

The one number that would settle it

Of every 100 people who walk past your current shop, how many come in and buy? That is called your capture rate, and no one has ever measured it. You already have half of it: your till records exactly how many sales you ring up a day. The missing half is a simple count of people walking past.

With that rate, any door on this list gets a real revenue estimate: people passing that door × your capture rate × your average sale. That is the calculation the whole exercise exists to make possible. It matters because a lease gives you no feedback for five years — this number is the only feedback you can get before signing.

One honest warning, and it works against us. Many of your customers do not "walk past" at all — they come to your shop on purpose. Fans travel to you. Those fans make your capture rate look higher than a new door could match, because a new door starts with your baking — the buns included — but not your fans. The fix is simple: while your team counts, they also ask each customer one question — "did you come here on purpose, or were you passing?" We subtract the on-purpose visits before using the rate anywhere else. Until then, treat every forecast here as a best case.

Try it — an illustration, not a forecast

The two sliders are the two things no one has measured yet: how many people pass your current shop, and how many pass the new door. Drag them and watch how much the answer changes. That swing is why we say measure first.

7.0% of passers-by buy
(210 sales ÷ people passing your shop)
×
3,000 passing the new door
×
$15.00 average sale (illustrative)
=
$2,700 to $4,500 a day, roughly — and the width of that range is the point

Say the current shop takes $3,200 a day (an illustrative figure — in the client's edition, every number in this sum except the two sliders comes straight from the till). Measure the two and the sliders become facts — and every door on the list gets a number instead of a rank. Two notes: the answer shows as a range because we treat the rate as roughly ±25% until it is really measured. And people come to your shop on purpose, which flatters the rate — the doorway question in report one measures that and subtracts it.

Two data notes: the calculator above runs on round illustrative figures — the client's real till numbers are removed from this public edition, and the mechanics are identical either way. And our copy of the sales record ends 9 November 2025 — before the cardamom buns launched, so the real average sale is probably higher than any figure it contains.

Nobody can do this sum without you. Your broker has listings but not your sales. A footfall company has crowds but not your conversion. The missing half lives in your till — which is also why your team holds the clicker. Our job is to design the count and turn it into an answer.

Part five

What would it take to stop guessing?

The report the client received ended here with a priced offer: four more weeks of paid work, in two stages, to close the gaps free data leaves. The prices were theirs to see, not the internet's — but the gaps are worth publishing, because they are the honest answer to "how far does free data get you?"

For scale: the typical unit on this list asks about $6,200 a month in rent (1,867 sq ft at $40 per sq ft per year, before service charges and renovation). A lease means paying that every month for years — measuring first costs a few weeks of that rent, once, before anything is signed.

The case for measuring is narrow and factual: today, nobody — we, a broker, or the owners — can tell which of the tied top doors earns the most. The four weeks exist to close that gap.

Six gaps in today's free report — and the deliverable that closes each

The gap today: we cannot see what is available
Units on the market

Across DC, Montgomery County and Northern Virginia alike.

The gap today: we do not know who walks past at 8am
The morning street, measured

Google's hourly busyness data at all ten doors, plus real clicker counts by your team at three of them. The counts check that the Google data can be trusted.

The gap today: our cost column is a residential stand-in
Real asking rents

From a broker, against the actual unit.

The gap today: the top doors are indistinguishable
A revenue forecast per door

Your capture rate and your average sale, given as a range.

The gap today: we assume how far people travel
Will it steal from Shaw?

How much of the new shop's trade is new money, and how much just walked over from your current shop. Worked out from your customer postcodes.

The gap today: we assume the bread can get there
The operating test

The bake-hour delivery rehearsal happens during report one: you drive the mill-to-door run with our stopwatch sheet before any modelling starts. Report two adds loading, staffing and holding checks on the joint walk.

Our commitment. If the numbers show that no door covers its rent, we will state that plainly and deliver the full analysis anyway — the fee pays for the work, not for a favourable answer. Your market stalls already earn as much per day as the shop, with no lease at all. If staying with stalls is the stronger business, that will be our written recommendation.

One thing to hold on to: the capture rate comes from a single shop, so it is a starting point, not a law. Every forecast comes as a range, with its assumptions written down, and we sanity-check it against your two farmers-market stalls where we can.

Part six

Four weeks

  1. 1
    Listings live

    Availability across all three jurisdictions, and the counting protocol lands with your team — Shaw's count is the measurement that makes everything after it possible.

  2. 2
    Ten doors measured

    Ten doors you and we agree on — the tie at the top means our ranking does not get to choose them alone. Brokers approached for real asking rents on the same ten, and you drive the mill-to-door delivery run at baking hour, using your own vehicle and usual route — recording the last fifty feet at every door: where the van can legally stop, how far the bread is carried, and what is in the way at 6am. A door that fails the kerb fails the shortlist before anyone models it.

  3. 3
    You decide here

    Weeks one and two stand on their own. If they have not earned the rest, stop — you keep the data and pay nothing further.

  4. 4
    Three doors modelled

    You pick the three with us, from what week two showed. Full cost-and-revenue models as a spreadsheet you keep - every formula and assumption shown, including what happens if things go worse than expected, all checked against your own sales records. Each door also receives an in-person practical check — loading, parking, kitchen ventilation, and how bread from the mill reaches it by 7am — during a joint site visit.

Two reports, two decisions. Report one is a complete deliverable: which units are real, what they cost, and which streets are busy at 8am. Report two is a separate commission made only after reading report one. Structuring the work this way — a decision gate after the cheap measurements, before the expensive models — is the part of this method that travels to any business.
The evidence

The 541 addresses, as far as we can rank them

All 541 addresses, ranked from best (rank 1) downwards, as far as free data allows. Remember: the top doors are effectively tied, so treat the top of this list as a group, not a podium. The "source" column tells you how solid each row is: on market means a live listing on 30 July 2026, with a link. register means an officially empty building, availability unverified. closed unit means a former restaurant worth a call, nothing more.

60 shown · tap a door for its details See these doors on the map ↓

— the first 60 by score are shown; filtering or sorting searches everything. Or download all 541 rows as a spreadsheet — every column, every source, every link, for your accountant to take apart.

Score ranks the surroundings, not the unit. Sq ft is the listed unit size on on-market rows and the assessor's plot size on register rows — a rough guide only there. Morning is the share of nearby food and retail open by 9am; rows marked thin had too few venues nearby to read confidently. Asking rents are the advertised base rent per sq ft per year; service charges and taxes come on top, and figures that fail a sanity check are hidden here (the raw values stay in the downloadable spreadsheet). Area cost is a band derived from residential rents — do not budget from it. You will notice the best doors often carry the most rival bakeries: that is not a contradiction — the ground that already supports six good bakeries is the ground that can support a seventh, and the score discounts competition without letting it veto a street that earns its rank on everything else. 123 addresses within 1.5km of your Shaw shop were held back as too close to your own trade.

#11 · 1820 L Street, Washington, DC #12 · 4101 Reservoir Rd NW, Washington, DC 20007, USA #13 · 2001 M Street NW, Washington, DC #14 · 1200 19th Street NW, Washington, DC #15 · 1120 20th Street NW, Washington, DC #16 · 1140 19th Street NW, Washington, DC #17 · 400 1st St SE, Washington, DC 20003, USA #18 · 1145 19th Street NW, Washington, DC #19 · 607 Pennsylvania Ave SE, Washington, DC #20 · 1234 19th Street NW, Washington, DC #21 · 2303 14th Street NW, Washington, DC #22 · 2250 M St NW, Washington, DC #23 · 1020 19th Street NW, Washington, DC #24 · 209 Pennsylvania Ave. SE, Washington, DC 20003, USA #25 · 7715 Woodmont Ave, Bethesda, MD 20814, USA #26 · 309 H St NE Washington DC 20002 #27 · 2120 L Street NW, Washington, DC #28 · 1999 K Street NW, Washington, DC #29 · 2722 Georgia Ave NW Washington DC 20001 #30 · 1413-1415 22nd St NW, Washington, DC #31 · 1150 18th Street NW, Washington, DC #32 · 10 Center St, Bethesda, MD 20814, USA #33 · 4924 St Elmo Ave, Bethesda, MD 20814, USA #34 · 2101 L Street NW, Washington, DC #35 · 2130 P Street NW, Washington, DC #36 · 1850 M Street NW, Washington, DC #37 · 1828 L Street NW, Washington, DC #38 · 2121 K Street NW, Washington, DC #39 · 420 H St NE Washington DC 20002 #40 · 8804 Old Georgetown Rd, Bethesda, MD 20814, USA #41 · 5504 Greentree Rd, Bethesda, MD 20817, USA #42 · 313-315 Pennsylvania Avenue, Washington, DC #43 · 2020 K Street NW, Washington, DC #44 · 1333 New Hampshire Avenue NW, Washington, DC #45 · 2206 14th St NW Washington DC 20009 #46 · 637 Pennsylvania Ave. SE, Washington, DC #47 · 633 Pennsylvania Ave SE, Washington, DC #48 · 1251 Wisconsin Ave NW, Washington, DC #49 · 4445 Wisconsin Ave NW, Washington, DC 20016, USA #50 · 7776 Norfolk Ave, Bethesda, MD 20814, USA #51 · 516 C St NE Washington DC 20002 #52 · 3123 M St NW Washington DC 20007 #53 · 3125 M St NW Washington DC 20007 #54 · 1900 Pennsylvania Avenue NW, Washington, DC #55 · 2600 Georgia Ave NW Washington DC 20001 #56 · 409 8th St SE Washington DC 20003 #57 · 1228 31st Street NW, Washington, DC #58 · 3060 M St NW, Washington, DC #59 · 1222 Wisconsin Ave NW Washington DC 20007 #60 · 3800 Reservoir Rd NW, Washington, DC 20007, USA #61 · 3015 M Street NW, Washington, DC #62 · 3246 Prospect St NW Washington DC 20007 #63 · 4905 Fairmont Ave, Bethesda, MD 20814, USA #64 · 1054 31st St NW, Washington, DC #65 · 1214 Wisconsin Ave NW, Washington, DC #66 · 4906 St Elmo Ave, Bethesda, MD 20814, USA #67 · 1227 Wisconsin Ave NW Washington DC 20007 #68 · 4531 Wisconsin Ave NW, Washington, DC 20016, USA #69 · 2826 Georgia Ave NW Washington DC 20001 #70 · 4513 Wisconsin Ave NW, Washington, DC 20016, USA #71 · 1065 Wisconsin Avenue, Washington, DC #72 · 1200 3rd Street NE, Washington, DC #73 · 5014 Connecticut Ave NW, Washington, DC 20008, USA #74 · 5018 Connecticut Ave NW, Washington, DC 20008, USA #75 · 4700 Wisconsin Ave NW, Washington, DC 20016, USA #76 · 5010 Connecticut Ave NW, Washington, DC 20008, USA #77 · 5014 Connecticut Ave NW #j, Washington, DC 20008, USA #78 · Located In, At Veteran's Park, 4827 Fairmont Ave, Bethesda, #79 · 1736 Connecticut Ave NW Washington DC 20009 #80 · 4611 41st St NW, Washington, DC 20016, USA #81 · 411 8th Street, Washington, DC #82 · 625 H Street NE, Washington, DC #83 · 1128 North Irving Street, Arlington, VA #84 · 1666 Connecticut Avenue NW, Washington, DC #85 · 5312 Connecticut Ave NW, Washington, DC 20015, USA #86 · 644 H Street, Washington, DC #87 · 7900 Norfolk Ave, Bethesda, MD 20814, USA #88 · 2300 Wilson Blvd, Arlington, VA #89 · 4844 Cordell Ave, Bethesda, MD 20814, USA #90 · 4862 Cordell Ave, Bethesda, MD 20814, USA #91 · 7700 Old Georgetown Road, Bethesda, MD #92 · Johnson Center, Fairfax, VA 22030, USA #93 · 4477 Aquia Creek Ln, Fairfax, VA 22030, USA #94 · 707 H St NE Washington DC 20002 #95 · 7450 Wisconsin Avenue, Bethesda, MD #96 · 3347 M St NW, Washington, DC #97 · 4500 Patriot Cir, Fairfax, VA 22030, USA #98 · Eagle Bank Arena, 4500 Patriot Cir, Fairfax, VA 22030, USA #99 · 705 H St NE, Washington, DC #100 · 555 13th Street NW, Washington, DC #101 · 7710 Woodmont Avenue, Bethesda, MD #102 · 1048 Wisconsin Ave NW, Washington, DC #103 · 1800 K Street NW, Washington, DC #104 · 3299 K Street NW, Washington, DC #105 · 1220 Pennsylvania Avenue SE, Washington, DC #106 · 82 I St SE, Washington, DC 20003, USA #107 · 1235 Pennsylvania Ave SE Washington DC 20003 #108 · 1732 Wisconsin Ave NW Washington DC 20007 #109 · 7401 Woodmont Avenue, Bethesda, MD #110 · 507 11th St SE Washington DC 20003 #111 · 1208 Pennsylvania Ave SE Washington DC 20003 #112 · 1533 Wisconsin Ave NW Washington DC 20007 #113 · 918 H St NE Washington DC 20002 #114 · 44 M St NE, Washington, DC #115 · 5436 Westbard Ave, Bethesda, MD 20816, USA #116 · 822 H St NE, Washington, DC #117 · 5428 Westbard Ave, Bethesda, MD 20816, USA #118 · 5507 Connecticut Ave NW, Washington, DC 20015, USA #119 · 5540 Connecticut Ave NW, Washington, DC 20015, USA #120 · 777 H St NE, Washington, DC #121 · 2017 S St NW Washington DC 20009 #122 · 5504 Connecticut Ave NW, Washington, DC 20015, USA #123 · 1776 I Street NW, Washington, DC #124 · 1729 Connecticut Ave NW Washington DC 20009 #125 · 5532 Connecticut Ave NW, Washington, DC 20015, USA #126 · 5534 Connecticut Ave NW, Washington, DC 20015, USA #127 · 4235 Wisconsin Ave NW, Washington, DC #128 · In The Arucola Restaurant, 5534 Connecticut Ave NW, Washingt #129 · 4306 Georgia Ave NW, Washington, DC #130 · 1808 I Street NW, Washington, DC #131 · 1721 Wisconsin Ave NW Washington DC 20007 #132 · 2005 18th St NW Washington DC 20009 #133 · 2011 S St NW Washington DC 20009 #134 · 1729 Wisconsin Ave NW Washington DC 20007 #135 · 5027 Connecticut Ave NW, Washington, DC 20008, USA #136 · 5029 Connecticut Ave NW, Washington, DC 20008, USA #137 · 5035 Connecticut Ave NW, Washington, DC 20008, USA #138 · 1123 H Street, Washington, DC #139 · 1400 Irving Street NW, Washington, DC #140 · 225 Pennsylvania Ave SE, Washington, DC #141 · 7316 Wisconsin Avenue, Bethesda, MD #142 · 1815 Columbia Rd NW Washington DC 20009-2005 #143 · 3118 Mount Pleasant St NW Washington DC 20010 #144 · 1121 Florida Ave NE Washington DC 20002-7103 #145 · 209 Pennsylvania Ave SE Washington DC 20003 #146 · 4422 Georgia Ave NW, Washington, DC #147 · 2218-2220 18th Street, Washington, DC #148 · 145 N Street NE, Washington, DC #149 · 531 8th St SE Washington DC 20003 #150 · 2218 18th St NW Washington DC 20009 #151 · 7550 Wisconsin 7550 Wisconsin Avenue, Bethesda, MD #152 · 1801 Pennsylvania Avenue NW, Washington, DC #153 · 2102 18th St NW Washington DC 20009-2331 #154 · 7501 Wisconsin Avenue, Bethesda, MD #155 · 1358 H St NE Washington DC 20002 #156 · 7500 Old Georgetown Road, Bethesda, MD #157 · 1363 H St NE Washington DC 20002 #158 · 1366 H St NE Washington DC 20002 #159 · 1370 H St NE Washington DC 20002 #160 · 1244 H St NE Washington DC 20002-4445 #161 · 1322 Florida Ave NE Washington DC 20002 #162 · 1336 H Street NE, Washington, DC #163 · 3407 Connecticut Ave NW, Washington, DC 20008, USA #164 · 1385 H St NE, Washington, DC #165 · 3433 Connecticut Ave NW, Washington, DC 20008, USA #166 · 1794 Columbia Rd NW, Washington, DC #167 · 3411 Connecticut Ave NW, Washington, DC 20015, USA #168 · 2222 18th St NW Washington DC 20009 #169 · 330 N Washington St, Alexandria, VA #170 · 5241 River Rd, Bethesda, MD 20816, USA #171 · 3309 Connecticut Ave NW, Washington, DC 20008, USA #172 · 3930 Georgia Ave NW, Washington, DC #173 · 3901 Fairfax Drive, Arlington, VA #174 · 1502 East Capitol St NE Washington DC 20003 #175 · 3321 Connecticut Ave NW, Washington, DC 20008, USA #176 · 3417 Connecticut Ave NW, Washington, DC 20008, USA #177 · 3501 Connecticut Ave NW, Washington, DC 20008, USA #178 · 1 Inventa Place, Silver Spring, MD #179 · Healey Family Student Center, 3700 O St NW, Washington, DC 2 #180 · 3420 Connecticut Ave NW, Washington, DC 20008, USA #181 · 4100 North Fairfax 4100 North Fairfax Drive, Arlington, VA #182 · 3311 Connecticut Ave NW #1302, Washington, DC 20008, USA #183 · 4000 Wisconsin Avenue NW, Washington, DC #184 · 8605 Cameron Street, Silver Spring, MD #185 · 3174 Mount Pleasant St NW Washington DC 20010 #186 · 1661 Kilbourne Pl NW Washington DC 20010 #187 · 4874 Massachusetts Ave NW, Washington, DC 20016, USA #188 · 3800 Lee Hwy, Arlington, VA #189 · 1300 East-west Hwy, Silver Spring, MD #190 · 4849 Massachusetts Ave NW, Washington, DC 20016, USA #191 · 3921 14th St NW Washington DC 20011 #192 · Parking Lot, 4866 Massachusetts Ave NW, Washington, DC 20016 #193 · 4820 Yuma St NW, Washington, DC 20016, USA #194 · A, 10400 Old Georgetown Rd, Bethesda, MD 20814, USA #195 · 2424 18th Street NW, Washington, DC #196 · 10400 Old Georgetown Rd, Bethesda, MD 20814, USA #197 · 1747 Pennsylvania Avenue NW, Washington, DC #198 · 3107 Georgia Ave NW Washington DC 20010 #199 · 950 North Glebe Road, Arlington, VA #200 · 8455 Fenton Street, Silver Spring, MD #201 · 301 North Street NE, Washington, DC #202 · 2000 14th Street, Arlington, VA #203 · 4300 Wilson Blvd, Arlington, VA #204 · 108 S Washington St, Alexandria, VA #205 · 218 Cedar St NW, Washington, DC #206 · 1212 H St NE Washington DC 20002 #207 · 4418 Macarthur Blvd NW, Washington, DC 20007, USA #208 · 104-116 East Fairfax Street, Falls Church, VA #209 · 1210 H St NE Washington DC 20002 #210 · 4502 Chesapeake River Wy, Fairfax, VA 22030, USA #211 · 800 North Capitol 800 North Capitol Street NW, Washington, D #212 · 1300 H Street NE, Washington, DC #213 · 901 North Stuart Street, Arlington, VA #214 · 19NINETEEN Clarendon Boulevard, Arlington, VA #215 · 1771 North Pierce Street, Arlington, VA #216 · 4250 North Fairfax Drive, Arlington, VA #217 · 3522 12th St NE Washington DC 20017 #218 · 2001 Clarendon Blvd, Arlington, VA #219 · 3609 Georgia Ave NW Washington DC 20010 #220 · 3622 Georgia Avenue, Washington, DC #221 · 3900 Wisconsin Ave NW, Washington, DC #222 · 191 W Broad St, Falls Church, VA #223 · 7612 Georgia Ave NW Washington DC 20012 #224 · 125 East Annandale Road, Falls Church, VA #225 · 5018 Connecticut Ave NW Washington DC 20008 #226 · 7616 Georgia Ave NW Washington DC 20012 #227 · 1411 H St NE Washington DC 20002 #228 · 4849 Connecticut Ave NW, Washington, DC 20008, USA #229 · 4631 41st St NW Washington DC 20016 #230 · 1424 G St NE Washington DC 20002 #231 · 1750 Pennsylvania Avenue NW, Washington, DC #232 · 5335 Westbard Avenue, Bethesda, MD #233 · 615 North Washington Street, Alexandria, VA #234 · 3218 Georgia Ave NW Washington DC 20010 #235 · 3414 11th St NW Washington DC 20010 #236 · 10223 Old Georgetown Rd, Bethesda, MD 20814, USA #237 · 3215 Georgia Ave NW Washington DC 20010 #238 · 10257 Old Georgetown Rd, Bethesda, MD 20814, USA #239 · 3200 Georgia Ave NW Washington DC 20010-2511 #240 · 4707 Chase Ave, Bethesda, MD #241 · 2611 South Clark 2611 South Clark Street, Arlington, VA #242 · 3308 Georgia Ave NW Washington DC 20010 #243 · 3609 14th St NW Washington DC 20010 #244 · 10257 Old Georgetown Rd #1901, Bethesda, MD 20814, USA #245 · 2600 Crystal Drive, Arlington, VA #246 · 3302 Georgia Ave NW, Washington, DC #247 · 7708 Georgia Ave NW Washington DC 20012 #248 · 10219 Old Georgetown Rd, Bethesda, MD 20814, USA #249 · 7920 Woodmont Ave, Bethesda, MD #250 · 7929 Norfolk Ave, Bethesda, MD #251 · 7832 Wisconsin Ave, Bethesda, MD #252 · 8551 Connecticut Ave, Chevy Chase, MD 20815, USA #253 · 200 Kentlands Blvd, Gaithersburg, MD #254 · 6931 Arlington Road, Bethesda, MD #255 · 3829 14th St NW Washington DC 20011-5403 #256 · 316 Kentlands Blvd., Gaithersburg, MD #257 · 4858 Cordell Ave, Bethesda, MD #258 · 301 Florida Avenue NE, Washington, DC #259 · 4128 Georgia Ave NW Washington DC 20011 #260 · 209 Kentlands Blvd, Gaithersburg, MD #261 · 2101 Wisconsin Avenue, Washington, DC #262 · 4856 Cordell Ave, Bethesda, MD #263 · 4132 Georgia Ave NW Washington DC 20011 #264 · 7329 Georgia Avenue, Washington, DC #265 · 701 Newton Pl NW Washington DC 20010 #266 · 7303 Georgia Ave NW, Washington, DC #267 · 500-540 John Carlyle Street, Alexandria, VA #268 · 7327 Georgia Avenue, Washington, DC #269 · 55 M Street SE, Washington, DC #270 · 402 West Broad Street, Falls Church, VA #271 · 1414 Pennsylvania Ave SE Washington DC 20003 #272 · 5400 Wisconsin Avenue, Chevy Chase, MD #273 · 5400 Wisconsin Avenue, Chevy Chase, MD #274 · 4801 Massachussetts Avenue, Washington, DC #275 · 809 Virginia Ave SE Washington DC 20003 #276 · 4511 Patriot Cir, Fairfax, VA 22030, USA #277 · 2319 Wisconsin Ave NW, Washington, DC #278 · 3606 14th St NW, Washington, DC #279 · 719 N West St, Alexandria, VA #280 · 1458 Park Rd NW, Washington, DC #281 · 1634 16th St SE Washington DC 20020 #282 · 811 Virginia Ave SE Washington DC 20003 #283 · 5580 Vincent Gate Terrace, Alexandria, VA #284 · 3532 Georgia Ave NW Washington DC 20010 #285 · 4400 Jenifer Street NW, Washington, DC #286 · 3553 Georgia Ave NW Washington DC 20010 #287 · 1501 Harry Thomas Way NE, Washington, DC #288 · 2300 N Pershing Dr #2C, Arlington, VA 22201, USA #289 · 1511 Marion Barry Ave SE Washington DC 20020-5634 #290 · 4633 41st St NW Washington DC 20016-1831 #291 · 4710 Bethesda Ave, Bethesda, MD #292 · 5225 Wisconsin Avenue NW, Washington, DC #293 · 1631 North Capitol St NE Washington DC 20002-2107 #294 · 2750 Gallows Way, Merrifield, VA #295 · 4800-4850 Rugby Avenue, Bethesda, MD #296 · 2831 Gallows Road, Falls Church, VA #297 · 3726 12th St NE Washington DC 20017 #298 · 2400 Wisconsin Ave NW, Washington, DC #299 · 5300 Wisconsin Avenue NW, Washington, DC #300 · 1750 H Street NW, Washington, DC #301 · Hampton Roads And Pilot House, 4401 Patriot Cir, Fairfax, VA #302 · 2408 Wisconsin Ave NW Washington DC 20007 #303 · 2600 Virginia Avenue NW, Washington, DC #304 · 3617 12th St NE, Washington, DC #305 · 5416 Wisconsin Ave, Chevy Chase, MD #306 · 1812 North Moore 1812 North Moore Street, Arlington, VA #307 · 3733 12th St NE # C-1 Washington DC 20017-2520 #308 · 9401 Key West Ave, Rockville, MD #309 · 8011 New Hampshire Avenue, Hyattsville, MD #310 · 333 John Carlyle Street, Alexandria, VA #311 · 1223 Marion Barry Ave SE Washington DC 20020-6907 #312 · 409 3rd Street SW, Washington, DC #313 · 4415 14th St NW Washington DC 20011 #314 · 1319 Marion Barry Ave SE Washington DC 20020-6909 #315 · 1225 Marion Barry Ave SE Washington DC 20020-6907 #316 · 4839 Del Ray Ave, Bethesda, MD #317 · 4839 Del Ray Ave, Bethesda, MD #318 · 1280 Union Street NE, Washington, DC #319 · 10141 Colesville Road, Silver Spring, MD #320 · 1510 Clarendon Blvd, Arlington, VA #321 · 10101 Colesville Road, Silver Spring, MD #322 · 8000 Wisconsin Avenue, Bethesda, MD #323 · 2300 N Pershing Dr, Arlington, VA 22201, USA #324 · 2201 N Pershing Dr, Arlington, VA 22201, USA #325 · 2450 Crystal Drive, Arlington, VA #326 · 750 17th Street NW, Washington, DC #327 · 3508 Connecticut Ave NW, Washington, DC #328 · 494 Elden St, Herndon, VA #329 · 1102-1106 8th Street SE, Washington, DC #330 · 2317 Wisconsin Ave NW, Washington, DC #331 · 494 Elden Street, Herndon, VA #332 · 2208 Wisconsin Ave, Washington, DC #333 · 1950 N. Lynn St., Arlington, VA #334 · 5211-5223 Wisconsin Avenue NW, Washington, DC #335 · 8190 Strawberry Lane, Falls Church, VA #336 · 5415 Friendship Blvd, Chevy Chase, MD #337 · 10715 Colesville Road, Silver Spring, MD #338 · 6011-6035 Wilson Blvd, Arlington, VA #339 · 7250 Woodmont Avenue, Bethesda, MD #340 · Rogers Hall, 4400 Aquia Creek Ln, Fairfax, VA 22030, USA #341 · 1811 Rhode Island Ave NE Washington DC 20018 #342 · 5100 Nicholson Lane, Kensington, MD #343 · 7733 Alaska Ave NW Washington DC 20012 #344 · 6981 Hechinger Drive, Springfield, VA #345 · 110 S Pitt St, Alexandria, VA #346 · 1801 Monroe St NE, Washington, DC #347 · 8301 Leesburg Pike, Vienna, VA #348 · 12119 Rockville Pike, Rockville, MD #349 · 4635 Nannie Helen Burroughs Ave NE Washington DC 2 #350 · 311 Maple Avenue, Vienna, VA #351 · 1927 Rhode Island Ave NE Washington DC 20018 #352 · 1716 Rhode Island Ave NE Washington DC 20018 #353 · 200 Stovall Street, Alexandria, VA #354 · 2025 Fulton Place, Reston, VA #355 · 5441 Macarthur Blvd NW, Washington, DC 20016, USA #356 · 122 C Street NW, Washington, DC #357 · 5797 Leesburg Pike, Falls Church, VA #358 · 2026 Rhode Island Ave NE Washington DC 20018-2835 #359 · 3923 12th St NE, Washington, DC #360 · 2100 Rhode Island Ave NE Washington DC 20018 #361 · 234 15th St NE Washington DC 20002 #362 · 174-188 Rollins Ave, Rockville, MD #363 · 5125 Macarthur Blvd NW, Washington, DC 20016, USA #364 · 1535 Alabama Avenue SE, Washington, DC #365 · 5108 Macarthur Blvd NW, Washington, DC 20016, USA #366 · 5105 Macarthur Blvd NW, Washington, DC 20016, USA #367 · 6255 Old Dominion Dr, Mc Lean, VA #368 · 8219 Leesburg Pike, Vienna, VA #369 · 8219 Leesburg Pike, Vienna, VA #370 · 5100 Macarthur Blvd NW, Washington, DC 20016, USA #371 · 1924 Martin Luther King Jr Ave SE Washington DC 20 #372 · 16650 Georgia Ave, Olney, MD #373 · 4930 Nannie Helen Burroughs Ave NE Washington DC 2 #374 · 5416 Georgia Ave NW Washington DC 20011-3910 #375 · 4811 Georgia Ave NW Washington DC 20011 #376 · 921 Kennedy St NW Washington DC 20011 #377 · 5427 Georgia Ave NW Washington DC 20011-3909 #378 · 5216 Wilson Blvd, Arlington, VA #379 · 1200 Kennedy St NW, Washington, DC #380 · 5735-5815 Eastern Ave, Hyattsville, MD #381 · 754 Elden St, Herndon, VA #382 · 7475 Huntsman Blvd, Springfield, VA #383 · 1582 Rockville Pike, Rockville, MD #384 · 1040 Elden Street, Herndon, VA #385 · 5284 Randolph Road, Rockville, MD #386 · 5812 Georgia Ave NW # 1 Washington DC 20011 #387 · 4300 Connecticut Avenue NW, Washington, DC #388 · 440 1st Street NW, Washington, DC #389 · 4401 Connecticut Avenue NW, Washington, DC #390 · 5808 Georgia Ave NW Washington DC 20011 #391 · 2025 Benning Rd NE # B Washington DC 20002 #392 · 9835 Georgetown Pike, Great Falls, VA #393 · 157 Rollins Avenue, Rockville, MD #394 · 4801-4831 1st Street, Arlington, VA #395 · 3524 Connecticut Ave NW Washington DC 20008 #396 · 11305-07 Georgia Ave, Wheaton, MD #397 · 333 Hawaii Ave NE, Washington, DC #398 · 15231 & 15261 Hall Rd, Bowie, MD #399 · 2418 Martin Luther King Jr Ave SE Washington DC 20 #400 · 8525 Chevy Chase Lake Terrace, Chevy Chase, MD #401 · 1099 Elden St, Herndon, VA #402 · 5201 Georgia Ave NW Washington DC 20011-3923 #403 · 2412 Martin Luther King Jr Ave SE Washington DC 20 #404 · 4614 14th St NW Washington DC 20011 #405 · 4630 14th St NW Washington DC 20011 #406 · 5119 Georgia Ave NW Washington DC 20011 #407 · 2633 Connecticut Avenue NW, Washington, DC #408 · 715 Kennedy St NW Washington DC 20011 #409 · 4622 14th St NW Washington DC 20011 #410 · 9400 Main Street, Fairfax, VA #411 · 227 E Diamond Ave, Gaithersburg, MD #412 · 495 And Baltimore-washington Pkwy, Greenbelt, MD #413 · 1590 Rockville Pike, Rockville, MD #414 · 2224 Town Center Drive SE, Washington, DC #415 · 1919 Benning Rd NE Washington DC 20002 #416 · 206-300 N Frederick Ave, Gaithersburg, MD #417 · 11020 & 11050 Fairfax Blvd, Fairfax, VA #418 · 5716 Columbia Pike, Falls Church, VA #419 · 15400 New Hampshire Ave, Silver Spring, MD #420 · 6875 New Hampshire Avenue, Takoma Park, MD #421 · 16220 Frederick Road, Gaithersburg, MD #422 · 15509 New Hampshire Avenue, Silver Spring, MD #423 · 3240 Duke St, Alexandria, VA #424 · 7000-7034 Commerce St, Springfield, VA #425 · 1601 Montello Ave NE Washington DC 20002 #426 · 11147 Veirs Mill Road, Wheaton, MD #427 · 4600 Minnesota Ave NE Washington DC 20019 #428 · 11219 Grandview Ave., Silver Spring, MD #429 · 13975 Connecticut Avenue, Silver Spring, MD #430 · 5223 Georgia Ave NW Washington DC 20011 #431 · 3030 Potomac Avenue, Arlington, VA #432 · 4818-4890 Boiling Brook Pkwy, North Bethesda, MD #433 · 3410 Olney Laytonsville Road, Olney, MD #434 · 9506 Main Street, Fairfax, VA #435 · 10201-10621 Martin Luther King Jr Hwy, Bowie, MD #436 · 2001 Bunker Hill Rd NE Washington DC 20018 #437 · 6911 Telegraph Road, Alexandria, VA #438 · 1011-1029 East Gude Drive, Rockville, MD #439 · 2379 Rhode Island Ave NE Washington DC 20018 #440 · 5521 Colorado Ave NW, Washington, DC #441 · 2400 Minnesota Ave SE, Washington, DC #442 · 804 Kennedy St NW Washington DC 20011-2914 #443 · 5827 Dix St NE Washington DC 20019-6966 #444 · 7511 Greenbelt Rd, Greenbelt, MD #445 · 3112 Rhode Island Ave NE Washington DC 20018 #446 · 2335 Pennsylvania Ave SE Washington DC 20020 #447 · 201-225 Gorman Ave, Laurel, MD #448 · 2337 Pennsylvania Ave SE Washington DC 20020 #449 · 10076 Darnestown Road, Rockville, MD #450 · 7500-7585 Annapolis Rd, Hyattsville, MD #451 · 16921 Melford Boulevard, Bowie, MD #452 · 1820 Benning Rd NE Washington DC 20002 #453 · 555 E Street SW, Washington, DC #454 · 1060 Brentwood Road NE, Washington, DC #455 · 10338 Main St, Fairfax, VA #456 · 10300 Willard Way, Fairfax, VA #457 · 8913 Brookville Road, Silver Spring, MD #458 · 9105 All Saints Road, Laurel, MD #459 · 308 Compton Ave, Laurel, MD #460 · 1501 Rockville Pike, Rockville, MD #461 · 5315 East Capitol St SE Washington DC 20019 #462 · 50 Watkins Park Drive, Upper Marlboro, MD #463 · 12168 Central Avenue, Mitchellville, MD #464 · 5240 Port Royal Road, Springfield, VA #465 · 5855 Ager Rd, Hyattsville, MD #466 · 5834-5918 N Kings Hwy, Alexandria, VA #467 · 4415 Bowen Rd SE Washington DC 20019-5615 #468 · 4410-4418 Powder Mill Rd, Beltsville, MD #469 · 2334 Iverson Street, Hillcrest Heights, MD #470 · 3401 Laurel Fort Meade Road, Laurel, MD #471 · 6201 Leesburg Pike, Falls Church, VA #472 · 6201 Arlington Blvd, Falls Church, VA #473 · 8621-8629 Lee Highway 8625 U.s. 29, Fairfax, VA #474 · 5541 Nicholson Ln, Rockville, MD #475 · 3175 Brinkley Road, Temple Hills, MD #476 · 3499 South Jefferson Street, Falls Church, VA #477 · 10103 River Road, Potomac, MD #478 · 2000 Fenwick St NE, Washington, DC #479 · 4501 Van Buren Street, Riverdale, MD #480 · 1401 Okie Street NE, Washington, DC #481 · 1701 H Street, Washington, DC #482 · 1800 Chain Bridge Rd, Mclean, VA #483 · 400 E Street SW, Washington, DC #484 · 8255-8377 Snouffer School Road, Gaithersburg, MD #485 · 4816 Macarthur Blvd NW Washington DC 20007 #486 · 18236 Contour Road, Gaithersburg, MD #487 · 13490 Coppermine Rd, Herndon, VA #488 · 11520-11564 Rockville Pike, Rockville, MD #489 · 6163 Oxon Hill Road, Oxon Hill, MD #490 · 7731 Annapolis Rd, Lanham, MD #491 · 2425-2511 North Harrison Street, Arlington, VA #492 · 15100 Frederick Road, Rockville, MD #493 · 2537 Bladensburg Rd NE Washington DC 20018-1420 #494 · 14300 Layhill Road, Silver Spring, MD #495 · 4290 Chain Bridge Road, Fairfax, VA #496 · 1501 Southern Avenue, Oxon Hill, MD #497 · 5845 Richmond Hwy, Alexandria, VA #498 · 9001 Mchugh Drive, Lanham, MD #499 · 8001 Braddock Road, Springfield, VA #500 · 11700 Parklawn Drive, Rockville, MD #501 · 5504 Baltimore Ave, Hyattsville, MD #502 · 9430 Annapolis Rd, Lanham, MD #503 · 5516 Baltimore Ave, Hyattsville, MD #504 · 6401 Shiplett Blvd, Burke, VA #505 · 8511 Landover Road, Landover, MD #506 · 28 Bureau Drive, Gaithersburg, MD #507 · 4001 S Capitol St SW, Washington, DC #508 · 1478 North Point Village Center 1478 North Point Village Cen #509 · 6009 Oxon Hill Road, Oxon Hill, MD #510 · 6701 Loisdale Road, Springfield, VA #511 · 14707 Baltimore Blvd., Laurel, MD #512 · 2638 12th St NE Washington DC 20018 #513 · 94 West Montgomery Avenue, Rockville, MD #514 · 5225 Indian Head Hwy, Oxon Hill, MD #515 · 1370 Lamberton Drive, Silver Spring, MD #516 · 822 Rockville Pike, Rockville, MD #517 · 10800 & 10820 Rhode Island Ave, Beltsville, MD #518 · 11221 New Hampshire Avenue, Silver Spring, MD #519 · 8733 Cooper Road, Alexandria, VA #520 · 9300 Lottsford Rd, Glenarden, MD #521 · 403 Redland Blvd, Rockville, MD #522 · 13600 Baltimore Avenue, Laurel, MD #523 · 3801 International Drive, Silver Spring, MD #524 · 7609 Fordson Road, Alexandria, VA #525 · 2918 Martin Luther King Jr Ave SE Washington DC 20 #526 · 2920 Martin Luther King Jr Ave SE Washington DC 20 #527 · 655 Lebaum St SE Washington DC 20032 #528 · 10200 Lake Arbor Way, Mitchellville, MD #529 · 6211 Dix St NE Washington DC 20019-2880 #530 · 3115 Martin Luther King Jr Ave SE Washington DC 20 #531 · 15606 Emerald Way, Bowie, MD #532 · 13820 Old Columbia Pike, Silver Spring, MD #533 · 13800 Outlet Drive, Silver Spring, MD #534 · 815 Rockville Pike, Rockville, MD #535 · 7001 Martin Luther King Jr Hwy, Hyattsville, MD #536 · 9780-9786 Fairfax Blvd, Fairfax, VA #537 · 2900 Belcrest Center Drive, Hyattsville, MD #538 · 18501 North Frederick Ave., Gaithersburg, MD #539 · 5031 Garrett Avenue, Beltsville, MD #540 · 1800 Half Street SW, Washington, DC #541 · 14201 Baltimore Avenue, Laurel, MD #1 325 Pennsylvania Ave. SE, Washington, DC 20003, / #2 303 Pennsylvania Ave. SE, Washington, DC 20003, / #7 229 Pennsylvania Ave. SE, Washington, DC 20003, 1+ #3 1367 Connecticut Ave NW, Washington, DC / #4 1345 Connecticut Ave NW Washington DC 20036 / #5 1347 Connecticut Ave NW Washington DC 20036 / #9 1801 L Street NW, Washington, DC3+ #6 2020 14th St N Ste 150, Arlington, VA 22201, USA / #10 1310 N Courthouse Rd, Arlington, VA 22201, USA6+ #8 4948 Fairmont Ave, Bethesda, MD 20814, USA8 Your mill, Shaw
Tap any point for its address (or hover, with a mouse).

— needs internet for the close-up tiles; the picture above always works

lowerhigher numbered ● top ten (+ means several doors together) ○ your mill◇ the door you mentioned

Map © CARTO, data © OpenStreetMap contributors

The money

What did this report cost to produce?

Short answer: about a tank of gas in API calls, and zero dollars in data licences. The itemised ledger is below. The client-facing edition ended with a priced two-stage offer here — measure first, model second — which is between them and us; the structure of that offer is described in Parts five and six.

No data licence was bought and no listings feed was subscribed to; the lease listings were gathered by hand from free public listing sites. The only real spend was measurement — Google's mapping and business-data APIs, used to geocode addresses and read what surrounds each door.

Measurement APIs (counts, opening hours, competitor checks — every query, whole engagement)≈ $89
Geocoding 710 candidate addresses≈ $4
Measured 6am drive times for the top doors (63 routes)≈ $1
Data licences · listings feeds · footfall data$0
Basemap tiles (OpenStreetMap / CARTO)$0
Spent so far — absorbed by us, not billed≈ $93

What anything past free would cost — the paid data this method reaches for only when the free layer fails its checks:

Deeper listings sweep of Crexi, LoopNet and Showcase (CoStar-owned sites; by hand, so it is added hours inside a stage, not a licence)$0 data cost
Google's hour-by-hour busyness data for a ten-door shortlist≈ $100
Professional visit-counting data (e.g. Placer.ai — counts visitors via phone data) (only if the cheap Google data fails its check)≈ $1,000/month
Want this for your business?

Everything on this page came from one person, AI tooling, a till export and free public data. If you run a local business — a bakery, a gym, a clinic, a coffee shop — and you are weighing where to open, expand or move, the same analysis can be built around your numbers in about two weeks.

Start at codemyvibe.com — or read the questions below first.

Questions & answers

Frequently asked questions about this case study

What data was used, and what did it cost?

Five sources, all free: the bakery's own Square till export (their data, shared with us), the US Census American Community Survey, the Census Bureau's LODES block-level jobs data, OpenStreetMap, and Google Places. The only spend was a few dollars of Google API measurement calls, itemised above. No listings feed, footfall product or data licence was bought.

Is this a real report or a marketing mock-up?

Real. This is the working document delivered to the owners of Seylou Bakery & Mill in August 2026, published with their knowledge. The only edits are privacy ones: their revenue, rent and lease figures are removed or expressed as percentages, and the priced offer at the end is omitted.

Why can't the data pick the winning location?

Because free data describes the street, not the door. It can count who lives and works nearby and what share of a street trades by 9am, but it cannot see who actually walks past a specific door at 8am, what a specific unit really rents for, or whether a "vacant" building is truly available. The top doors score within three points of each other — inside the method's honest margin of error — so the report says "tie" instead of inventing a winner.

Does this method work for businesses that aren't bakeries?

Yes, with one substitution: the morning-trade measure exists because this client earns 89% of its revenue before 3pm. A dinner restaurant would weight evening openness instead; a gym would weight commuter flows. The pipeline is the same — your sales history defines when you need a street to be alive, and public data measures which streets are alive then.

What would the paid follow-up have added?

The two things free data cannot deliver: verified availability and real asking rents for a ten-door shortlist, and a measured capture rate — real people counted at real doors — turning the ranking into per-door revenue forecasts. Structured as two reports with a decision gate between them, so the client pays for the expensive modelling only after the cheap measurements have earned it.