Yes No Tarot
Free, instant yes/no tarot readings online: ask a question, draw three cards, and reveal your answer on love, career, money, or any decision.
What is Yes No Tarot?
Yes No Tarot is a website that gives free, instant yes/no answers to personal questions using tarot. You ask a question, draw three cards while thinking about it, and the AI selects one of six frameworks by meaning and interprets the cards, their orientations, and their spread positions together. The result is a tentative answer with an explanation and advice.
The site is aimed at people with everyday questions about love, relationships, career, personal goals, and decisions, such as whether to text a crush or accept a job offer. It also offers Love Tarot, a Daily Tarot with love, mood, and money insights, and a chat with an AI tarot reader for talking through things on your mind.
What sets it apart is its emphasis on how readings should be used. Labels such as clear leaning, slight leaning, and mixed signals describe how coherently the cards support an answer, not probabilities. The site's FAQ is direct that tarot has no established accuracy rate and should be used for reflection alongside real-world information, not for medical, legal, financial, or other serious decisions.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
it was a good time to test marketing and we kind of fastened that at that point because there was the covered the beginning of the covey then all marketing was going down so it was super cheap to try stuff there yeah so try to be opportunistic on that an influencer had like a lot of time
COVID Made Ads Cheap and Influencers Available — Run Tests When the Market Gives You a Window
PhotoRoom timed its first paid advertising push to coincide with COVID lockdowns — when CPMs crashed and influencers had idle time. The lesson isn't to wait for a crisis, but to recognise market windows: abnormally cheap ad inventory or uniquely accessible talent are finite opportunities. Being ready to run when conditions improve is a strategic asset.
the further you are away from the metrics you want you should proportionately increase the radicalness of the testing and experimentation you try...if you have total trash like you're not losing anything just try something nuts
When Metrics Are Far Off Benchmark, Increase The Radicalism Of Your Experiments
Jacob's calibration rule for founders: the scale of your experimentation should be proportional to how far you are from your targets. If conversion is in the ballpark, run conservative A/B tests. If it's terrible, incremental tweaks are statistically equivalent to nothing — try a completely different paywall, a different business model, or a different app entirely. The time cost of trying something radical when things are broken is far lower than the time cost of grinding through marginal improvements.
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