TinyCard – A minimalistic & functional e-Card site, like tinyletter

Hacker News

My brother just had his 39th birthday and as we live in different cities I sent a present to him directly from the shop (it was a gym bag for those who are curious). The shop didn't let me add a postcard or anything personal to the package so I went looking for an easy/fast eCard service that I considered aesthetically pleasing. It was a very frustrating search. I thought of creating it with Figma but didn't feel like spending more time building a postcard design (also I wanted it to open in a cool way!!). So I created an app :D (cue Rick & Morty "lets-build-an-app" guy) This was created with the sentiment how tinyletter (RIP) offered a functional/minimal solution to bloated software.

Visit product View on Hacker NewsFeb 25, 2026

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Actual performance

4points

3comments

Did not reach leaderboard

Launch Intel predictions

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

79%79% 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.

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

66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

61%61% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% 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 · Missing: arr, mrr, revenue

11%11% 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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