Analytics and monitoring decision
Private Location Intelligence API platform
A basic venue search + heuristic hourly profiles API is feasible for a single engineer in ~one week, but BestTime's live signals, global coverage density, and forecast quality depend on proprietary aggregated location data and operational plumbing that are hard to replicate.
Visit website↗Built by Mick.net - Maker: Document.Bot 🤖 BestTime.app 🎉, who ships 3 products in this index
$29/mo
$348/yr
Read off the official pricing page.
$100one-off32 h to build
$120/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 5 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Accept venue queries, return per-hour relative foot-traffic profiles and basic venue metadata
What it still won’t have
- BestTime's proprietary live busyness signals and global coverage density
- Refined forecasting models and peak detection tuned on their data
- Enterprise SLA, dedicated hosting, and packaged SDKs/tools
- Per-credit metered caching and CDN optimizations
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 5 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted minimal foot-traffic API using Postgres + Node.js (Express) + Redis for caching and Leaflet for the demo frontend. Scope: ingest OpenStreetMap POIs into Postgres; implement name and bbox/radius search endpoints; compute and store heuristic hourly profiles per venue (weekday/weekend) from configurable rules or an uploaded sample dataset; expose /venues/search, /forecasts?venue_id=, and /live?venue_id= (live endpoint should return 'not available' or a recent sampled value); include API key auth, request rate limiting, CDN-friendly JSON caching, error handling, and unit tests for each endpoint. Out of scope: building proprietary live-signal ingestion pipelines, large-scale ML forecasting models, SLA/enterprise billing. Provide Docker compose for local dev and a one-page README with deployment steps.
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score62
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productBestTime.app – Foot Traffic Data API
- official pricingBestTime Pricing
- official docsBestTime API Docs
Integrity checks
What held up, and what did not.
