An

An AI-powered swingers dating app

Hacker News

An AI-powered swingers dating app

Hi HN community, I’m excited to share Venus (TakeMeToVenus.com), a project we’ve been working on to foster more meaningful connections within ethical non-monogamy. Why we're building Venus? Non-monogamy is a rich tapestry woven through human history. To put it simply, humans love sex. From the polyamorous practices of ancient indigenous societies to the consensual multi-partner relationships in historical religious sects, loving more than one has always been part of our story. The free love movement of the 1960s reignited this flame, challenging societal norms and celebrating love in all its forms. Fast forward to today, and digital platforms have thrust non-monogamy into the spotlight, making it more visible and accepted than ever before. Yet amid this surge of easy access to others, we’ve lost sight of something essential: meaning. When you’re on Venus, it’s not about more connections, it’s about better connections (and better sex). 1. It's an evening social network Venus operates within a unique framework: it is open only from 7 PM to 11 PM every night. By limiting access to these hours, Venus encourages users to engage more intentionally. Research suggests that time constraints lead to more meaningful engagement. In the complex world of non-monogamous relationships, this focused timeframe helps you prioritize and invest in the connections that matter most. When the clock strikes 7 PM, Venus unveils The Lounge — an open space where all users can connect freely. Share photos, texts, and links with the community in a vibrant, communal atmosphere. 2. It's AI for meaningful conversations At the heart of successful non-monogamous relationships lies trust and understanding — not just between primary partners but among all connections. Venus leverages cutting-edge AI to enhance these crucial elements. Our AI assistant provides smart profile summaries, offering a sneak peek into the values and fantasies of couples or singles who catch your eye. Venus will even help you choose the best profile photo, ensuring you and your partner give the best first impressions. When you’re ready to send a message, Venus AI offers personalized conversation starters based on user profiles. Venus is world where everyone looks their best, shared desires are openly shared, and conversations are both intellectually stimulating and irresistibly sexy. 3. How to join Venus Quality connections thrive in a quality community. Venus operates on an invite-only basis, with each new user receiving three invites. To get an invite code, ask around. Someone you know may already be on Venus. You’ll likely find Venus users on Instagram, Reddit, and at lifestyle events. If you can’t get access to an invite code, you may join our waitlist for future updates here: TakeMeToVenus.com

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
87%87% 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 · Strong signals: user, new, single · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, users, way · Missing: mobile apps, ios, entrepreneurs
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
37%37% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · 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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