SaaS Metrics
Product Positioning & Context
Criblist turns SF apartment hunting into a swipeable deck. Set your budget, neighborhoods, and must-haves, then browse live rentals from Craigslist and local property managers. Context.dev powers the extraction and source data. Keep the good ones.
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is SF Apartment Finder?
SF Apartment Finder is a digital product or tool described as: Tinder for live SF rentals from across the web
Where did SF Apartment Finder originate?
Data for SF Apartment Finder was aggregated directly from the Product Hunt community ecosystem, representing raw developer and early-adopter sentiment.
When was SF Apartment Finder publicly launched?
The initial public indexing or launch date for SF Apartment Finder within our tracked developer communities was recorded on July 26, 2026.
How popular is SF Apartment Finder?
SF Apartment Finder has achieved measurable traction, logging over 186 traction score and facilitating 10 recorded discussions or engagements.
Which technical categories define SF Apartment Finder?
Based on metadata extraction, SF Apartment Finder is categorized under topics such as: Design Tools, API, GitHub.
What are some commercial alternatives to SF Apartment Finder?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Navige, which offers overlapping value propositions.
How does the creator describe SF Apartment Finder?
The original author or development team describes the product as follows: "Criblist turns SF apartment hunting into a swipeable deck. Set your budget, neighborhoods, and must-haves, then browse live rentals from Craigslist and local property managers. Context.dev powers t..."
Community Voice & Feedback
Great one.. hope it show how the neighborhood stats as well, let say safety, crime rate, family oriented etc.. good wishes with this..
the swipe-and-keep format is a great fit for this, apartment hunting really is just a matching problem dressed up as a spreadsheet. one thing I'd want to know before trusting it: does Criblist re-check that a listing is still live before showing it to me, or is there a chance I keep something that already got rented out an hour earlier? SF listings move fast
How do you plan to handle sourcing and data consistency from Craigslist, given their historical issues with scraper bots and varying listing quality?
Nice work Yahia. I will try to integrate Context.dev for Commercial Real Estate again.
As a student, the struggle is real. How often do you find listings that aren't duplicated across multiple sites?
It would be super helpful to see a map view alongside the swipe deck so I can visualize where each listing sits relative to my target neighborhoods and commute. Maybe a small toggle in the corner to switch between card stack and map mode. Would make narrowing down the geography way easier without losing the quick-browse feel.
A commute-time filter would be huge. Plug in where you work and it shows you listings under your max door-to-door time on Muni or BART, not just the rent number. Right now I still have to mentally cross-check every place against how long it'll actually take me to get to the office.
Hey Product Hunt 👋
Apartment hunting in San Francisco has a painfully specific loop:
Open Craigslist
Open five property manager websites
See the same listing twice
Lose the good one
Start another spreadsheet
Repeat
So we built Criblist.
Tell it your budget, bedroom count, preferred neighborhoods, and the things you refuse to compromise on. Criblist searches live inventory across Craigslist, Brick + Timber, RentSFNow, Mosser, and J. Wavro, then gives you one clean, personalized deck.
Pass. Keep. Open the original listing. Move on.
We built Criblist on top of Context.dev:
The HTML API fetches live listing pages
The Extract API turns messy rental websites into structured inventory
The Brand API keeps every source recognizable
We also made a deliberate choice not to pad the results. If nothing genuinely matches what you asked for, Criblist tells you instead of showing you a bunch of irrelevant apartments.
It’s completely free, requires no login, and is fully open source.
If you’re looking for an apartment in SF right now, reply with:
Budget / bedrooms / two neighborhoods / one dealbreaker
We’ll run your search and share the best match Criblist finds 👀
Apartment hunting in San Francisco has a painfully specific loop:
Open Craigslist
Open five property manager websites
See the same listing twice
Lose the good one
Start another spreadsheet
Repeat
So we built Criblist.
Tell it your budget, bedroom count, preferred neighborhoods, and the things you refuse to compromise on. Criblist searches live inventory across Craigslist, Brick + Timber, RentSFNow, Mosser, and J. Wavro, then gives you one clean, personalized deck.
Pass. Keep. Open the original listing. Move on.
We built Criblist on top of Context.dev:
The HTML API fetches live listing pages
The Extract API turns messy rental websites into structured inventory
The Brand API keeps every source recognizable
We also made a deliberate choice not to pad the results. If nothing genuinely matches what you asked for, Criblist tells you instead of showing you a bunch of irrelevant apartments.
It’s completely free, requires no login, and is fully open source.
If you’re looking for an apartment in SF right now, reply with:
Budget / bedrooms / two neighborhoods / one dealbreaker
We’ll run your search and share the best match Criblist finds 👀
Discovery Source
Product Hunt Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.