Use case: connection strings

Redact database URLs and webhooks before you ask AI for help.

Modern logs are full of copy-paste traps: Postgres URLs, Redis endpoints, Slack webhooks, Discord webhooks, Teams webhook URLs, bearer tokens, and private hosts. PasteShield gives developers a local cleanup step before sharing the useful context.

Try this sample View demo Get founder license

The current MVP runs locally in the browser. It does not upload pasted logs, custom terms, replacement maps, or cleaned output.

Raw incident note Risky to paste

DATABASE_URL=postgres://prod_user:prod_password@db.internal:5432/customer_app
Authorization: Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.payloadsignaturevalue
Slack alert: https://hooks.slack.com/services/T00000000/B00000000/XXXXXXXXXXXXXXXXXXXXXXXX
Owner: maya.chen@example.com

PasteShield output Useful context remains

DATABASE_URL=[DATABASE_URL_1]
Authorization: [BEARER_TOKEN_1]
Slack alert: [WEBHOOK_URL_1]
Owner: [EMAIL_1]

Best for Incident notes, CI logs, support escalations, contractor handoffs

Finds Database URLs, webhooks, bearer tokens, internal URLs, emails

Use before ChatGPT, Claude, GitHub issues, Slack, Reddit, Stack Overflow

The pain

Developers paste production context into AI tools because it works. The problem is that connection strings and webhook URLs often sit inside the same lines as harmless error messages.

The cleanup

PasteShield replaces risky values with stable placeholders, so the model or public thread can still reason about the shape of the issue without seeing the secret itself.

The wedge

This is a narrow technical pain with high urgency: one leaked database URL or webhook can matter immediately, which makes the founder license easier to justify.