Live listing aggregation
Build a listing deck from live rental sources instead of browsing static results, so the set reflects what is currently available.
criblist is a rental search tool for San Francisco and New York City that turns live listings into a swipeable deck. Filter by budget, bedrooms, neighborhoods, and must-haves, then save or act on listings.
Criblist is a rental search product for San Francisco and New York City that turns live listings into a swipeable deck. The homepage positions it as a way to reduce the time spent hunting across rental sites by presenting active results in a cleaner, more focused format.
Users start by choosing a city and entering search preferences such as bedroom count, monthly budget, neighborhoods, and must-haves. Criblist then builds a deck from live sources so renters can review, save, and act on listings from one workflow.
Build a listing deck from live rental sources instead of browsing static results, so the set reflects what is currently available.
Choose between San Francisco and New York City as the search location, with the homepage explicitly surfacing those two markets.
Filter by bedroom count, monthly budget, neighborhoods, and must-haves before generating the deck.
Review results in a swipeable deck format designed for faster triage than a standard list view.
Use the deck to save listings and act on the ones you want to pursue, based on the product description.
Pull from multiple live SF sources shown on the homepage, including Craigslist, Brick + Timber, RentSFNow, Mosser, J. Wavro, Rentals Inc., Rentals in SF, Landmark SF, and Relisto.
For renters who want to narrow a search quickly, criblist lets them set basic criteria like bedroom count, budget, and neighborhood before viewing current matches.
For people comparing available rentals in San Francisco or New York City, the product brings live listings into one deck so they can review options without switching between sites.
For renters who prefer a faster review process, the swipeable presentation makes it easier to move through listings and identify promising ones.
For users who already know their priorities, must-haves help shape the deck before it is built, reducing noise in the initial results.
For renters who want to move from browsing to action, the product description indicates they can save listings and act on them from the deck.
Criblist appears to be a rental search tool for San Francisco and New York City listings. From the homepage, users specify location, bedroom count, monthly budget, neighborhoods, and must-haves before building a deck of live listings.
The homepage shows controls for San Francisco and New York City, but the rendered description specifically says it turns live San Francisco and New York City listings into a clean deck you can swipe, save, and act on.
You can filter by city, bedroom count, monthly budget, neighborhoods, and must-haves, then generate a listing deck from live sources.
The source text supports a swipeable deck and actions to save and act on listings, but it does not document the full set of downstream actions or account features.
The pricing page at /pricing currently returns a 404 in the collected source, so pricing details are not available from the provided evidence.
ClayHog is an AI search visibility platform for tracking brand presence in ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews from one dashboard.
Grok is a free AI assistant developed by xAI, engineered to prioritize truth and objectivity while offering advanced capabilities like real-time information access and image generation.
qbrin is an enterprise AI search and governed agent platform that turns company knowledge into cited answers and can abstain when evidence is missing.
Octen is a search infrastructure for AI apps needing live web context, structured answers, and retrieval tools via API, SDKs, Skills, MCP, and CLI.
Scite is an AI research platform for finding papers, checking citation context, and getting answers grounded in scholarly literature and patents.
AI-driven wiki aggregator created to enhance user experience on Wikipedia by streamlining knowledge consumption.