
PropQwik
Turn property listings into presentation-ready decks
What it does
PropQwik is a Chrome extension for commercial real estate professionals that simplifies how property data is turned into client-ready presentations. It extracts structured property data from commercial real estate listing platforms, including pricing, area, broker information, and images, and converts it into presentation-ready outputs. This helps brokers and CRE teams reduce manual work, maintain consistency, and focus more on clients and deal execution.
Does the same job
all alternatives →- 7Y77 Year old launches SaaS platform today. Seeks feedback2023 · propbox.co · ▲520
Richard Montgomery ([email protected]). I believe PropBox is the first advertising platform to facilitate a home seller and buyer to directly negotiate and close real estate transactions within the platform and zero commissions entirely online. Looking for feedback to continuously improve the product.

- FAFilterQL – A tiny query language for filtering structured data2025 · github.com · ▲77
Hey all, I just released v2.0.0 of FilterQL, a query language and TypeScript library. This version adds support for Operations, which allow you to transform the data after filtering. If you think this would be useful in a project you're working on, give it a try and let me know what you think!
- IBI built an extension for analyzing rental properties in Zillow2022 · homescope.io · ▲67
Hey everyone, I build a Chrome Extension for real estate investors to be able to easily calculate the cash flow of a rental property right within Zillow. As an aspiring real estate investor, I found spreadsheets and proprietary online calculators like Bigger Pockets to be complicated or slow. With Homescope, you can bring this within your workflow and estimate your operating expenses instantly.

PropWise — Free Prop Firm ToolsJun 2026 · propwise.site · ▲310 free trading calculators built for prop firm traders
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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