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ShareClean is a local-first Python CLI that cleans logs, stack traces, curl output, config snippets, URLs, and headers before you paste them into GitHub issues, tickets, Slack, or AI chats. It redacts passwords, API keys, tokens, cookies, connection-string credentials, emails, private IPs, and local paths while preserving debugging context. Unlike repository secret scanners, ShareClean protects text before it leaves your machine. No account, API key, telemetry, or network connection required.
Hi,I built ShareClean after noticing how often debugging output gets shared before anyone checks it for secrets.
A common example is a database URL like this:
DATABASE_URL=postgresql://app_user:[email protected]:5432/orders
Deleting the full line removes useful debugging context. ShareClean instead produces:
DATABASE_URL=postgresql://app_user:[REDACTED]@db.internal:5432/orders
The host, port, database name, and surrounding error remain available for troubleshooting while the password is removed.
It works on logs, terminal output, stack traces, curl output, config snippets, URLs, and headers. It can also be used through shell pipelines:
cat app.log | shareclean --report
This is not meant to replace GitHub Secret Scanning, Gitleaks, or TruffleHog. Those scan repositories and history. ShareClean is for the earlier moment: the text you are about to paste somewhere else.
Everything runs locally. No account, API key, telemetry, or network calls.
I would love practical feedback on fake examples where ShareClean either misses a risky value or redacts too much useful debugging context.
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About GitHub on Product Hunt
“Clean sensitive logs before you share them”
GitHub was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #25 on the daily leaderboard. ShareClean is a local-first Python CLI that cleans logs, stack traces, curl output, config snippets, URLs, and headers before you paste them into GitHub issues, tickets, Slack, or AI chats. It redacts passwords, API keys, tokens, cookies, connection-string credentials, emails, private IPs, and local paths while preserving debugging context. Unlike repository secret scanners, ShareClean protects text before it leaves your machine. No account, API key, telemetry, or network connection required.
GitHub was featured in Open Source (68.6k followers), Privacy (11.2k followers), Developer Tools (515.4k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 120.4k products, making this a competitive space to launch in.
Who hunted GitHub?
GitHub was hunted by Omar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Omar