Top all-time · #10115
Signifyd
Company blog · signifyd.com/blogsecuritybusiness
Signifyd is the company blog at signifyd.com, writing about security and business. Since 2011, 8 different Hacker News readers have linked it 23 times. It is still writing: the last post was on 2026-10-26, and you can follow it by feed.
Too few sampled comments (6) to say how often HN recommends it.?
Why HN links it
Mostly cited as a commerce fraud-prevention vendor and linked for job listings and a four-day-week post. The comments do not discuss the writing.
Summarised by Claude from a sample of 6 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Protect the entire customer journey with the only decision engine built for login, checkout, returns and appeasements, backed by a guarantee.
What Hacker News says?
Signifyd | Mid-level / Senior Software Engineer | San Jose | Onsite | Full-time Signifyd is a 115-person startup that was named one of the 50 most innovative Fintech companies of 2016 by Forbes, and our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time…
Comment linking /careers/?gh_jid=134954
on “Ask HN: Who is hiring? (February 2017)”Submitted The vicious cycle of reputation systems as a story · 4 points
HN discussionSignifyd | Backend Engineer, Data Scientist, Infrastructure Lead Engineer, Head of Product | San Jose www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single s…
Comment linking /careers/
on “Ask HN: Who is hiring? (December 2017)”Submitted Signifyd: fighting sock puppets is a cat and mouse game as a story · 2 points
HN discussionSignifyd | Backend Engineer, Machine Learning Engineer, DevOps Lead Engineer | San Jose www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all into a single score with a fe…
Comment linking /careers/
on “Ask HN: Who is hiring? (May 2017)”Submitted Show HN: Signifyd, an Anti Virus for Social Interaction as a story · 2 points
HN discussionSignifyd | Backend Engineer, Frontend Engineer, Infrastructure Lead Engineer, Security Engineer | San Jose, Belfast, OR Remote www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reduci…
Comment linking /careers/
on “Ask HN: Who is hiring? (January 2019)”Signifyd | Backend Engineer, Machine Learning Engineer, Infrastructure Lead Engineer, Security Engineer | Anywhere www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all in…
Comment linking /careers/
on “Ask HN: Who is hiring? (November 2018)”Signifyd | San Jose, CA | Backend Engineers | ONSITE or REMOTE (US-only) | Full-time | $100k-$150k + equity We're a growing team of engineers building systems that catch bad guys. Our mission is to make commerce safer for online retailers. To solve this problem, we're looking for world-class engineers who are eager to learn, adopt, and contribute to a reactive style of programming. Interested? We would love to hear…
Comment linking /careers/?gh_jid=44015
on “Ask HN: Who is hiring? (September 2016)”There are third party solutions to fraud that actually work, providing chargeback insurance. Essentially, they screen transactions; if any approved transactions are chargebacked, they refund you. A good start point is https://signifyd.com We dropped in this solution on our e-commerce about 5 years ago; fraud has been a non existent problem.
Comment linking /
on “Stripe is PayPal circa 2010”Signifyd | Belfast, Northern Ireland | Backend Engineer, Frontend Engineer, DevOps Engineer, Infrastructure Engineer https://www.signifyd.com/careers/belfast/ Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external…
Comment linking /careers/
on “Ask HN: Who is hiring? (July 2019)”Signifyd | Software Engineering Manager, Back End Engineer, Front End Engineer, Machine Learning Engineer, Data Scientist, Product Manager | San Jose www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with e…
Comment linking /careers/
on “Ask HN: Who is hiring? (February 2018)”Signifyd | Backend Engineer, Frontend Engineer, Infrastructure Lead Engineer, Security Engineer | San Jose OR Remote www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with external APIs and reducing it all…
Comment linking /careers/
on “Ask HN: Who is hiring? (December 2018)”Signifyd | Back End Engineer, Front End Engineer, Infrastructure Lead Engineer, Software Engineering Manager | San Jose OR Remote OR Belfast, UK www.signifyd.com Our engineers build systems that catch bad guys. Using all available payment, user, and machine data, we have to separate legitimate credit card transactions from fraudulent in under 400ms. That means doing just-in-time mash-ups of internal data with extern…
Comment linking /careers/
on “Ask HN: Who is hiring? (April 2019)”My company is hiring for a 4-day workweek with an 8-hour workday. There are several fully remote openings. We have openings across various departments in the UK, US, Mexico, Brazil - https://www.signifyd.com/jobs/ Here is a post about our adoption of the 4-day workweek: https://www.signifyd.com/blog/signifyd-adopts-four-day-workw... Disclaimer: I've worked here for a little over three years, and I believe this is on…
Comment linking /blog/signifyd-adopts-four-day-workweek/
on “Ask HN: Companies hiring for a 4-day workweek?”Yes. At $DayJob we have a similar process [e.g. Accept any card that passes the checksum, hand out rejections on a 24 hour delay after we've handled our fraud signals and processed the charge with the gateway] The credit card processors aren't particularly interested in handling this for you and you [the merchant] pay the price if you gave the processor stolen card numbers. Services like these: https://www.signifyd.…
Comment linking /pricing/
on “How Candy Japan got credit card fraud somewhat under control”Totally valid points and it's something we're building for everyday. We've already encountered a bunch of fraud early when our system was less developed. Luckily we caught all of those and have had time to grow / build a plan of attack. We'll never be able to eliminate fraud - but we can make it a pain in the a for a black-hatter to use SellSimple over the hundreds of alternative places. Few ways: 1. Escrow via Bala…
Comment linking /
on “EBay is about to increase its seller fees to 10%”https://www.signifyd.com/fearless-conversions/ They have a comprehensive customer ID system and let you adjust desired risk levels for various forms of fraud. Epic username btw lol
Comment linking /fearless-conversions/
on “Stripe is friendly to "friendly fraud"”