Restaurant Group New Location Permit Feed | Real-time Expansion Intelligence

If an entrepreneur "adopted" this product today, here's the realistic math.

Fermi summary

If you sign 40 CRE brokers and equipment dealers at $380/mo, that's $182k ARR - but you're fighting CoStar's shadow with a 13% shot of getting there in year one, and you'll be negative cash until month 18.

Market size (TAM)

$58.0M

~14,500 US businesses that sell B2B into expanding restaurant chains (CRE brokers focused on restaurant/retail, equipment dealers, regional food distributors, POS/tech vendors) × ~$4,000 avg annual subscription

Year-1 ARR range

$62k - $510k

midpoint $182k

Gross margin

87%

Investment to production

$51k

Data pipeline (permit ingestion, normalization, multi-county alert engine): $22k. Auth/billing/API delivery layer: $12k. Outbound sales and

Probability of success

13%

P(reaching mid case in 12 months)

Expected take-home Y1

$-30400

probability-weighted, after investment

Go-to-market motion

Outbound email + LinkedIn targeting commercial real estate brokers and regional restaurant equipment reps → 20 demos/month → 3 closes/month at ~$380/mo avg MRR per seat.

Key risks

Municipal permit digitization is inconsistent - hundreds of US counties still file paper permits or use non-machine-readable formats, leaving coverage gaps that gut the product's reliability in mid-size markets where restaurant expansion is heaviest
The permit signal arrives late in the decision cycle - by the time a permit is filed, equipment vendors and brokers have usually already been engaged, so the feed is historical confirmation rather than actionable early intelligence
CoStar, Placer.ai, and Black Box Intelligence already sell location expansion signals to this exact buyer set at scale with sales teams and brand trust that a new data feed cannot easily overcome on price alone

Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.