str-pricer — launch kit

1-liner

Airbnb dynamic-pricing recommendations. Heuristic-based, transparent, $29/listing/mo.

Tweet hook

PriceLabs: $20/listing/mo + setup. Beyond: $59/listing/mo.

Both ML-driven, opaque. Hosts can't QA the recommendation.

Built a transparent rule-based pricer. Cheaper, simpler, host-readable.

Math 🧵

Reddit

• r/AirBnB: "Transparent dynamic pricer (open math)"
• r/airbnb_hosts: "Why your dynamic-pricing tool feels random"

Cold-email ICP

Airbnb hosts with 1-50 listings; STR property managers.

Cold-email template

Subject: explain your dynamic pricing

Hi {first} — your {N} listings on Airbnb.

PriceLabs and Beyond are great but the recommendation feels black-box.
Built a transparent rule-based pricer: anchor + seasonality multiplier +
urgency discount. You see exactly why.

$29/listing/mo. Cheaper than the ML tools, plus you can QA the output.
Free first month. Reply for setup.

SEO content

1. "PriceLabs alternatives 2026"
2. "Airbnb pricing math — what most tools hide"
3. "Seasonality + urgency: the two levers that matter"

str-pricer

Short-term-rental dynamic-pricing recommendation engine for Airbnb / Vrbo hosts. Heuristic-based, deliberately simple, transparent.

Pricing

• $29/mo per listing
• $99/mo for up to 5 listings
• $499/mo for property managers (up to 50 listings)

vs PriceLabs ($20/listing/mo) + Beyond ($59/listing/mo) — competitive on price, simpler integration.

Run

cd C:\openclaw-products\str-pricer
python -m venv .venv
.\.venv\Scripts\activate
pip install -e .

strpricer night --base 180 --comp-median 215 --comp-occupancy 0.72 \
                 --seasonality 1.3 --lead-days 4 --gap-nights 1

Roadmap

• AirDNA integration for comp data
• Airbnb API to push the rate (or operator-CSV-export workflow)
• ML add-on (XGBoost trained on hosts' own historical data)
• Multi-listing dashboard
• Holiday + event calendar integration