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PSFuturemail – Write a letter and forget it until it arrives

Hacker News

PSFuturemail – Write a letter and forget it until it arrives

I wanted a way to write letters to my future self and actually forget about them until they arrive. Existing options didn't quite work for me. While Gmail lets you schedule emails, seeing those drafts every time was tempting, breaking the surprise. FutureMe has moved to a paid model, and most alternatives either lack encryption, feel limited, or don’t allow editing after scheduling. So I built PSFutureMail. It's a simple web app where you can write a letter and choose a delivery date anywhere from days to decades in the future. Letters are private and encrypted by default. You can edit or delete them at any time before delivery. Attachments are supported as well. There's also an option to publish letters anonymously so that others can read them. The core idea is to make it easy to write something to your future self in the best possible way. Would love feedback: https://www.psfuturemail.com

Visit productView on Hacker NewsMar 25, 2026
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Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, email · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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