
Enhance.Dating· Dating profile optimizer
AI tools that fix a dating profile that isn't working
What is Enhance.Dating?
Enhance.Dating is a dating profile optimizer.
Enhance.Dating helps people figure out why a dating profile gets no matches, then fix it. Photo selection: upload all your photos; each one is scored on expression, light, framing and background, then ranked. You see which to lead with, which drag the profile down, and why. Bio builder: instead of a blank page, a few questions; your answers become a text that sounds like you, not a template. Profile review: the whole profile, first analysed by AI in minutes, then reviewed in writing by real people from the audience you want to reach. Message help: works with what you bring, the other person's profile or a conversation that went quiet. No canned lines. Interface and AI answers in 20 languages. The first try needs no payment.
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All of our main competitors are around the $80 price point. We believe our product is just as good as theirs. However our price didn't really reflect that. What are prices if not information about how something is valuable?
Prices signal quality — a low price relative to competitors devalues your product
The product team at Lose It! pushed for the price increase, not just the revenue team. Their reasoning: price is the only signal a prospective user has about relative quality. When Lose It! charged half the price of competitors, it implicitly communicated an inferior product regardless of actual feature parity. Pricing parity with competitors is a brand statement, not just a monetisation choice.
I was tasked with writing an email each day by noon that just had three bullets — and up to two sub-bullets within each. Just an email that said: here are the three things that you should be focused on that happened the day before. And then suddenly dashboards become absolutely irrelevant frankly.
The Best Executive Dashboard Is 3 Bullet Points in a Daily Email
Disney+ President Michael Paull found dashboards overwhelming and disconnected — too much data showing the same patterns without surfacing what mattered. Taylor Wells solved it with a daily 3-bullet email that synthesized the previous day's key signals and anomalies. The format forced prioritization: only insights that would change a decision made the cut. For small apps, the same principle applies — pick 3 metrics that actually drive action, ignore the rest.
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