Postcard – Easy way to make a personal website

Hacker News

Today I'm launching Postcard! I started Postcard when I deleted most social media, but still wanted a way to keep in touch with friends and my network. When I worked at Webflow, it became clear to me that most website builders are way too complex for individual users. So, I drew inspiration from social media - where all you need is a couple photos and text fields to get a great site online. So, I think I’ve about achieved a site builder that even my Mom could use. The product seems simple, but there are many under-the-hood optimizations. There's caching, CDNs, custom domain support, TLS certificate issuance + management, dynamically-generated open graph images, image optimizations, email sending, full-text RSS feed, email reputations, and more. It also uses a couple new products to make the domain connection process easy. Let me know if you have any feedback or questions! PS - Rumor is that Twitter is shutting down Revue. If you want help transferring content and subscribers over to Postcard, just email me!

Visit product View on Hacker NewsNov 10, 2022

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting

91%91% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, email · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, users, way · Missing: mobile apps, ios, entrepreneurs

65%65% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: builder, users · Missing: plus, platform, intuitive

64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: subscribers · 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.

Incorrect prediction on native model

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