knowdencyWhat is Knowdency?
Know what your dependencies are actually doing.
Explain it like I'm not a developer
Imagine you're building an app or website. Instead of writing every single piece of code yourself, you use thousands of small pre-built "ingredients" that other people published — a login button someone built, a way to format dates, a chart library. Modern software is built almost entirely this way.
The catch: each of those ingredients depends on other ingredients, which depend on more ingredients — so one project can quietly pull in hundreds of pieces of code nobody on the team ever personally looked at or chose. Any one of them could be abandoned, could have a known security hole, or could be controlled by just one burned-out volunteer. Most teams have no easy way to see any of this. They just install everything and hope for the best.
Knowdency is a health inspection for that invisible supply chain.
Point it at a project and it maps out every package your app actually depends on (including the hidden, indirect ones), grades each one for risk, and tells you exactly what to fix first — instead of drowning you in sixty warnings nobody has time to read.
The analogy
You wouldn't build a restaurant menu from ingredients you've never inspected. Software teams do this every day, hundreds of times over, without realizing it.
Every package your app depends on is like a supplier feeding your kitchen. Most restaurants know their suppliers. Most software teams don't — the chain is ten layers deep and invisible by default.
When a package turns out to have a security hole, it's exactly like a food recall — except restaurants get a phone call, and software teams usually find out only after something breaks.
Knowdency is the label on the box: what's inside, how fresh it is, and whether anything in it should worry you — before it ever reaches a customer.
In practice
Maya's app is three weeks from launch. She pastes her repo into Knowdency out of curiosity and finds a payment-adjacent package that hasn't been updated in two years and has an open critical CVE. She swaps it out before a single customer's card ever touches it.
Maya
Solo founder, pre-seed
Devraj inherits a five-year-old codebase after an acquisition. Instead of a six-week manual audit, he gets a ranked risk list in minutes — three things to fix this sprint, fifty-seven things that can wait.
Devraj
Engineering manager, 40-person team
A new CVE drops for a popular logging library. Instead of asking every team "are we affected?" over Slack, Priya searches once and sees exactly which of the company's 30 services touch it — and what breaks if they rip it out.
Priya
Security lead, mid-size SaaS
Why this matters, in business terms
You don't need to read code to understand this market — you just need to know that every piece of modern software is built the same risky way, and almost nobody is checking.
Every company that ships software — a two-person startup or a bank — builds on the same foundation of borrowed, third-party code. That foundation breaks constantly: a widely-used library gets hacked, a maintainer disappears, a license changes overnight. When it happens, it's not a rare event — it's a recurring, predictable cost of doing business that almost nobody budgets for or catches early.
Regulators and enterprise customers increasingly require a "software bill of materials" before they'll sign a contract. Security incidents traced back to a third-party package make headlines every year. The market has already decided this needs to be checked — today it's checked with clunky, expensive enterprise tools built for security specialists, not for the founder or engineering manager who actually needs the answer in five minutes.
We start where the existing tools fail: speed and clarity. Paste a repo, get a visual map and a plain-English verdict in seconds — not a 40-page PDF a specialist needs a week to interpret. Easy in the door for an individual developer, natural to expand into teams once they're hooked on "I can just check this myself now."
Every scanned project makes the next answer faster and smarter. Over time this becomes less "a tool you run" and more "the map that's always already drawn" — a live, continuously-updated picture of risk across a company's entire codebase, the natural expansion from one repo to an entire engineering org.
Illustrative impact
Modeled on realistic team behavior, not measured production numbers yet — the kind of impact this class of tool is built to produce.
6 weeks → 4 minutes
Time to a full dependency risk audit
vs. a manual review by a security team
89%
Of scanned projects had at least one high-risk package nobody knew about
based on early pilot scans
3.2×
Faster incident response when a new CVE drops
"which of our repos does this touch" answered in one search
94%
Of pilot users acted on the top recommendation within a week
vs. typical <20% action rate on generic security reports
Figures above are hypothetical, directional estimates for illustration — not audited production metrics.