Opportunities › Privacy screening for document sharing › Proposed app
Clearpass
Check files for secrets, personal data and hidden content before you send them
- Score
- 44
- confidence 49
- Evidence
- 3
- items on the page
- Rivals
- 1
- named in sources
- First version
- 40 d
- estimate
- Type
- Mobile app
- PWA: installs on iPhone and Android
- Market since
- 2005
- Mature market · AI estimate
ScreensConcept
Mobile app: Users quickly scan and clean files before sending them, often on the go or away from a desk, with one-tap verification before sharing. Sample screens on a phone, in the proposed brand. Their numbers are sample data.
New check
3 files
- Q3-budget.xlsxScanned
- contract-draft.docxScanned
- handover.zip14 inside
- Scan locationThis device
About this appAI proposal
Clearpass checks files, folders and zip archives for secrets, personal data, metadata and hidden document content before you share them. Drop a file in, see what would leave with it, and make a clean copy. Scanning runs on your device, so file contents are not uploaded.
It is made for people who send documents every day but do not work in a terminal: office staff, HR, finance, legal and consultants. The material describes an open-source command-line tool for this job. Clearpass offers a visual report, plain explanations and a shared team policy.
Each finding shows where it sits in the file, why it matters and how to remove it. Teams set rules once, so everyone checks against the same list before sending.
- Tagline
- Know what a file says before it leaves your hands.
- Voice
- CalmPlainCareful
- Why this name
- Clear means you can see inside the file. Pass is the moment it goes out. Two plain words that say a file was checked.
In the first version
Members say which features they would use. It tells PWAS what people want; it changes no score.
Scan files, folders and archives
Drop in a document, a folder or a zip. Clearpass opens nested files and checks each one, including office files and PDFs.
No member yet
Secrets and credentials
Finds API keys, passwords and tokens left in documents, spreadsheets and config files, and shows the exact spot.
No member yet
Personal data detection
Flags names, emails, phone numbers and ID-like or card-like numbers so you can decide what stays.
No member yet
Metadata and hidden content
Reveals author names, edit history, comments, hidden sheets and text under shapes, then lists what to strip.
No member yet
Brand identityAI proposal
Check the name against trademark registers before using it.
Palette
#1E6B5CPine · primary#F6F3ECPaper · surface#1F2A2EInk · text#E0833AAmber · accent#B3372FBrick · data: high risk
Typography
Aa
Clearpass
ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789
Know what a file says before it leaves your hands.
PricingAI proposal
The material gives no competitor prices; the only competitor named is an open-source tool. These tiers are a starting point to test, not derived from market data.
Free
Free
- Single file scans
- Metadata and hidden content report
- Basic clean copy
Pro
$8 a month
- Folders and archives
- Secrets and personal data checks
- Unlimited clean copies
- Exportable reports
Team
$6 a month
- Price per seat
- Shared policy and rules
- Block or warn settings
- Admin activity summary
Would you pay Team · $6 a month?
Your answer tells PWAS which prices people accept. It changes no score.
No answers yet.
What it could be worthEstimate
What a software business making this much sells for today, from real deals. Pick a monthly revenue.
If it makes
Worth about
$194,000
Sale range $132,000 to $263,000
$120,000 a year in revenue
From 87 software businesses listed and sold on Empire Flippers in the last year, revenue vetted by the broker: they sell for about 19× their monthly revenue, most between 13× and 26×.
Measured on profit, the middle deal is 32× monthly net profit: about 2.7 years of profit.
An estimate, not an offer or financial advice. A real price depends on profit, growth, churn, how much of the work is the owner's, and the buyer.
How it would growAI proposal
How the product would reach new customers through its own use, and how the first ones would be found. A plan to test, not a result.
- Built-in loop
- Shared outputs. Users attach a short check report or a Checked with Clearpass note to files they send. Recipients see that the file was screened and can open the report link.
- Do they become customers?
- Recipients are often in other companies and may become buyers if they send files too. Test whether report views lead to sign-ups, and whether it is worth the effort for senders.
- First customers
- Small professional-services firms of 10 to 50 people, such as accounting or legal practices, where staff send client documents daily and have no data loss tooling.
- Where to reach them
- Direct outreach to office managers: Offer a free check of a sample outgoing folder and show what was found.
- Accounting and legal communities: Post short examples of hidden metadata found in everyday documents, in industry forums and groups.
- Open-source tool communities: Offer a visual option for colleagues who do not use command-line tools.
- First milestone
- Ten small firms in one profession run weekly checks, and five of them pay for the Team plan within 60 days.
Why people already pay for this
- VerifiedGitHub repository gained 395 stars in 52 days
- Public claimTool catches secrets, PII, metadata, and hidden document content before sharing
- Public claimSupports multiple file formats including office documents and PDFs
Tech stack
Every proposal builds on the same PWA base, installable from the browser on any phone or computer. Dashed boxes are what this app adds.
- AppNext.js and TypeScript
- PWAManifest and service worker
- UITailwind CSS
- Data and authSupabase Postgres
- PaymentsStripe
- EmailResend
- HostingVercel
- This app · In-browser file parsingClient-side libraries for office, PDF and zip filesScanning must run on the device, so parsing of documents and archives happens in the browser.
- This app · Background scanningWeb Workers with WebAssemblyLarge folders and archives need scanning without freezing the screen.
RisksAI inference
- CommercialA free open-source command-line tool already does this. Non-technical buyers must value a visual app and team policy enough to pay.
- TechnicalReliable parsing of many office and PDF variants in the browser is hard. Missed hidden content would give false confidence.
- TechnicalLarge archives may exceed browser memory limits on phones and low-end laptops.
- PlatformPWAs have limited access to the file system and share sheets on some devices, which can make the check step feel slower than a native app.
- DataPersonal data and secret detection will produce false positives and misses, which can annoy users or hide real exposure.
Everything marked AI proposal or AI inference was written by a model from the evidence on the opportunity page. The proposed name must be checked against trademark registers before it is used.