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Processing
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Vvvv
Pure Data
TouchDesigner
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Geod.app
Placer.ai
Buxton
Esri ArcGIS
Tango Analytics
Kalibrate Location Intelligence
Geod helps expansion teams at multi-location brands formalize site selection and apply it at scale. Define criteria, weights, and thresholds once, then score pins or batches of candidates with explainable briefs and one-click PDF reports. The platform maps drive-time trade areas, aggregates census and POI data, quantifies competition and cannibalization, and cites sources and timestamps, delivering a consistent, auditable process that replaces ad-hoc spreadsheets.
OpenFrameworks
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Geod.app's answer:
Geod is the only site selection platform built around explainability and auditability from day one.
Most tools in this space either produce opaque "AI scores" that can't survive CFO scrutiny, or require expensive consultants to interpret. Geod takes the opposite approach: every score is a transparent weighted linear model where each componentโdemographics, competition, traffic patternsโis visible, adjustable, and cited with its data source and vintage.
Teams define their own criteria instead of accepting a vendor's black-box formula. The output is a committee-ready brief that makes the decision rationale explicit and defensible, not a number that requires a sales rep to explain.
Geod.app's answer:
Current alternatives force a painful tradeoff:
Consultants and brokers produce one-off site packages that cost $5-15K per location and can't scale with a growing pipeline. Enterprise platforms like SiteZeus or Buxton require six-figure annual contracts, lengthy onboarding, and often deliver scores no one can fully explain. DIY approaches with Excel and ad hoc data pulls are slow, inconsistent, and hard to defend in committee.
Geod sits in the gap. It's self-serve, priced for mid-market teams ($295-995/month), and designed around how site decisions are actually reviewed and approved. Teams get consistent, auditable output without enterprise complexity or consultant dependency.
The key differentiator is transparency. When a site goes to committee, stakeholders can see exactly why it scored the way it did and challenge specific assumptions rather than accepting or rejecting a black-box number.
Geod.app's answer:
Expansion and real estate teams at multi-unit restaurant and retail chains in the 30โ500 location range.
These teams are growing fast enough to need a repeatable process but aren't large enough to justify $100K+ enterprise contracts or dedicated analytics staff. They're often led by a VP of Real Estate or Director of Development who is evaluated on new
store performance and needs defensible analysis to present to leadership.
Secondary audiences include franchise development teams evaluating territory density, commercial real estate brokers who advise multi-unit tenants, and PE-backed portfolio companies rolling up regional chains.
Based on our record, OpenFrameworks seems to be more popular. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This reminds me of OpenFrameworks [0], which provides very similar framework style functionality like Nannou but for C++. [0]: https://openframeworks.cc/. - Source: Hacker News / 5 months ago
Zach Lieberman https://x.com/zachlieberman does his work in C++ with https://openframeworks.cc/. - Source: Hacker News / over 1 year ago
Not exactly VJ, but could be used for it. https://openframeworks.cc. - Source: Hacker News / over 2 years ago
- openFrameworks https://openframeworks.cc/ C++. - Source: Hacker News / over 2 years ago
Vulkan is sort of a post-API API. It seems to be designed specifically with high performance render pipelines in mind, and "end users" should interface with it through an intermediary layer. Ie, you might prefer bgfx[0], cinder[1] or openframeworks[2]. 0: https://github.com/bkaradzic/bgfx 2: https://openframeworks.cc/. - Source: Hacker News / over 2 years ago
Processing - C++ and Java programming at the speed of thought.
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