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Improve your dating profile and get more matches on Tinder, Bumble & Co, it's possible! โ We offer powerful tools to analyze your profile for free, and determine which photos or descriptions to use. Our team also offers tips and tricks to make your profile perfect ๐ MyDatingReview is above all a community, not only to be analyzed by a team of dating experts, your profile is visible to the whole community that will give you their feedback and areas of improvement for your profile
GitHub MyDatingReviewNo MyDatingReview videos yet. You could help us improve this page by suggesting one.
MyDatingReview's answer:
Submit photos and descriptions to be reviewed
MyDatingReview's answer:
Real, Constructive Feedback โ Instantly Unlike many platforms that just show popularity scores, we provide meaningful insights on your photos and descriptions, based on criteria that matter (attraction, authenticity, confidence).
100% Anonymous, 100% Safe Get reviewed by a community โ anonymously. No usernames, no judgment, just valuable feedback. You stay in full control of your content.
Designed for Self-Improvement We donโt just score โ we guide. Youโll receive suggestions (like "lighting too low" or "expression unclear") so you can tweak and improve immediately.
Daily Free Credits & No Paywall to Get Started Every day you log in or vote on other profiles, you earn credits. Youโre not forced into a subscription to use the core features.
Premium Perks โ If You Want More Need expert-level reviews or in-depth stats on how your scores evolve? Our affordable premium plans unlock next-level features โ but only if you choose to.
MyDatingReview's answer:
It all started with a simple question: โWhy isnโt anyone matching with me?โ
Like many, our founder (Kevin ๐) was active on dating apps โ but getting few matches and even fewer replies. Friends gave mixed advice. Online tips were generic. And there was no real way to know what others truly thought of his profile.
That frustration led to an idea: ๐ง What if you could get honest, anonymous feedback on your profile from real people โ like a โreview systemโ for dating?
From that idea, MyDatingReview was born.
๐ We built a platform where users can anonymously review dating photos and bios based on criteria like: -Attractiveness -Confidence -Authenticity
๐ ๏ธ Over time, the platform evolved: -A scoring system that feels playful but useful -Smart suggestions powered by both community and AI -Premium tools for users who want expert insights and progress tracking -A mission to help people improve, not judge
Iโve tried a bunch of dating sites and apps, and it always felt like you never really know what youโre getting into. MyDatingReview gave me a way to read (and write) real feedback from real users โ not just paid promotions. It helped me avoid a few scams and actually find platforms that fit what I was looking for. Super useful, clean design, and I like that itโs community-driven. Definitely recommend if youโre tired of fake reviews.
I like the possibility to add some pictures to be rated by community. We can get some details on the score with detailed analysis. The main feature is free and you can use the entire website for free.
I use MyDatingReview website since few weeks now and I appreciate this tool ! When I submit a new picture, I get votes fastly and it's easy to see the best picture to use. The support is fast if you have a problem and I got some free credits by helping developpers on a bug discover. My Tinder profile is now better and I will continue to use this tool to improve my profile, not only on dating apps !
Based on our record, GitHub seems to be more popular. It has been mentiond 2472 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / about 6 hours ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / about 12 hours ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 10 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 12 days ago
Fallback chains โ og:title โ twitter:title โ- SSRF protection โ if you fetch user-supplied URLs, you MUST block
localhost, RFC-1918 ranges, and internal hostnames, or your preview endpoint is a proxy into your own infrastructure- Caching โ you do not want to re-fetch a URL on every render
- Rate limiting โ a public...
- Source: dev.to / 14 days ago
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