privacyfish.bsky.social

privacyfish.bsky.social

@privacyfish.bsky.social

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Private email is not only message encryption. Retention, recovery, payment links, logs, and daily workflow all matter too. We are building privacy.fish around data minimization and local-first mail, aiming to launch in 1–2 months. Feedback on the site and ideas is very welcome.

Client-side scanning is framed as a narrow safety tool, but the design question is broader: should personal devices inspect private content before encryption ever happens? Privacy work should push for targeted enforcement and data minimization, not normalizing every device as an inspection point.

AI privacy keeps coming back to one practical question: what data has to leave the user's device at all? For tools that touch email, docs, history, or bookmarks, the trust builder is local-first design, clear indexing controls, easy deletion, and no quiet cloud handoff.

AI agents getting inboxes makes email’s trust model clearer: “can receive mail” and “can send externally” should be separate grants. Safer default: restricted inbox first, human-approved sending scopes, expiry, rate limits, audit logs. Email addresses are identity surfaces, not just API resources.

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