Send short messages on postcards for $2.00

Hacker News

Hey HN, I'm excited to share my quarantine side project. www.postanote.app I've always loved sending and receiving mail from people I care about. That unexpected surprise of finding something personal in a sea of bills and marketing junk was always a highlight. However, the time required for putting together a card kept me from doing it as often to as I'd like. I had to go buy a postcard (1-2$), go home and write it, then go to the post-office, buy a stamp($0.35), and mail it. I wanted to build a simple site to make this process easier and reduce it down to the only element that matters: The message. I wanted to avoid sign-ups and all that bs. I just want to make it feel like an express checkout lane. I also wanted the price to be competitive, so I set it at 2 bucks flat. I used the JAMStack. Front-end is made in Svelte (Can't recommend enough) and hosted on Netlify. The backend is on Firebase Functions, and I use firestore as the database. Payment processing is done using Stripe. Hope you like it. If you do, please support it on Product Hunt. Just launched today! https://www.producthunt.com/posts/post-a-note-app

Visit product View on Hacker NewsAug 10, 2020

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Actual performance

3points

1comments

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, using · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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.

Correct prediction on native model

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