I built tarotpunk – the tech bro tarot deck

Hacker News

Hi HN, Introducing tarotpunk, the world’s first tech bro tarot deck. Telling your fortune on what’s missing for your startup, every step along the way. Align your strategy and intuition for the best course of action. SF is a place where fame, wealth, and status rule. Startups are rewarded for the risks most do not dare take, and yet, yields the worst character flaws that’s widely accepted. Every founder dreams to be a part of it, but the reality is, can most founders even handle the everyday before the glory? The moments when uncertainty takes over, burn rate makes you lose sleep, behind on shipping product, making customers mad, and juggling a team to go from zero to one. These are the moments where one’s character is tested the most. The artwork for tarotpunk is inspired by the 8 fatal flaws of San Francisco. You can see them across the images and in the deck. Ideas Guy – Always brainstorming, and never shipping Control Freak – Can’t delegate, and burns the team out Status Obsessed – Optimizes for clout, but never impact Brilliant but Lazy – Talent wasted on comfort Insecure – Operates from fear Closed Off – Does not let ppl in Greedy – Chases exits, and forgets people ⁉ No Usability – Builds genius no one understands Which one are you? Let tarotpunk tell you today. Website: tarotpunk.app Get a Free Reading: cards.tarotpunk.app Pre-order a tarotpunk deck: shop.tarotpunk.app

Visit product View on Hacker NewsJun 25, 2025

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

85%85% 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 · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, 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

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.

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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: reward · 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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