Summaries Launch
I built Summaries because I’ve always wanted to stay up to date with tech, startups, or current events in my city, but reading tons of page-long newsletters every day just wasn’t realistic or enjoyable.
I either skipped them entirely or let them pile up and fell behind. So I built a tool that:
- Sends concise email digests on your schedule
- Lets you create anonymous email aliases (random or custom)
- Makes blocking senders and enforcing unsubscribes effortless
Of course, it’s not just for newsletters. It works with any email sent to your alias.
The goal is simple: stay informed without sacrificing focus. I’d love your feedback. What’s your biggest frustration with email right now? What feature would you like to see?
Clear pain point. Newsletter overload is real.
A few security and privacy questions I’d think about for a product like this:
• Are incoming emails stored long term, or summarized and then discarded?
• Is mailbox content encrypted at rest and in transit?
• If you generate summaries with third-party LLM APIs, are emails ever retained or used for model training?
Since this tool sits between users and their inbox, trust is everything. A simple, transparent data retention policy and clear boundaries around AI processing will matter a lot.
Concept is strong. If you keep it privacy-first and predictable, it could become a daily habit tool.
Hey Nautillo, thanks for the feedback!
Incoming emails are currently stored indefinitely, so you can always re-read them. You are right that having the option to automatically discard them after a specified time would be a good thing to have.
Mailbox content is currently encrypted only in transit. However, I'm planning an option to add encryption for full privacy (although it's an open question now how to summarize the email in such a case, there is a trade-off).
Summaries use only well-known, paid LLM providers and opt out of using the data for training. And Summaries also doesn't use them for any kind of training.
Btw, personally, I'm a fan of privacy-friendly apps; for example, the web uses Posthog in cookieless mode without any kind of identification of users, but to have at least the bare analytics data available.