Se

Send a letter for $1.55

Hacker News

Send a letter for $1.55

Sending mail online is not simple, it should be simple. Why would you send a letter in today's age? A few use cases: - You can be completely anonymous. ex: You have a neighbor who puts trash on the curb 2 weeks early... they need to know - You might have to and its a PITA if it's something you otherwise never do because you need paper, stamp, printer, ink, envelope, mailbox. ex: legal, banking, government, etc. - Lodge a complaint or make a request. This one has been fun for me. I've written Michael Dell asking him to support his alma mater and provide additional NIL money for the Texas Longhorns. I've also written a random developer at Apple stating how horrific iOS 26 has been. Make your voice heard! https://mappymail.com is meant to be simple, cheap, and as private as you'd like. - Simple: Start typing an address or just drop a pin. - Cheap: You can get a single page letter out for $1.55. - Private: You don't need to have an account, provide a return address, sender name, or even give an email if you don't want to. Once your letter is sent, we remove the blob from our server. Would love to hear any feedback or answer questions!

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Actual performance

2points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: apple, email, single · Missing: mac, agents, macos
59%59% 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
47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · 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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