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LoveWell
Analyse relationship chats. Rehearse hard talks.
LoveWell helps you unpack a real relationship situation—not receive generic advice. Analyse a chat or screenshot, choose a guide, find words for what matters, and rehearse a hard conversation. It separates facts from assumptions without predicting your partner.
Hi Product Hunt community — I’m Nik Shmytov, creator of LoveWell.
We’ve all been there: an ambiguous text message, two cancelled dinners in a row, a partner who suddenly pulls away, or an ex reaching out late at night. Your brain immediately enters cognitive overdrive—rereading old chats at 2 AM, crowdsourcing friends’ conflicting opinions, spiraling into worst-case assumptions, and dreading a confrontation.
I designed LoveWell to offer a calm, psychologically grounded third space for these noisy relational moments.
Instead of offering generic life-coach recipes or pretending to "read another person’s mind", LoveWell introduces a structured clarity workflow: • 4 Advisor Archetypes: Marla (wise friend for somatic grounding & emotional calming), Sam (direct logic & tactical clarity), Jin (sexologist-psychologist on attachment dynamics & boundaries), and Emma (dating coach for organic warmth without games). • 5 Situation Modes: Partner talks, new dating, ambiguous/ex connections, self-clarity, and chat reviews. • Difficult Conversation Trainer: Rehearse what you actually want to say against an interactive counterpart simulator (who might interrupt, evade, or get defensive) with live coach timeouts before the real conversation. • Privacy by Design: Client-side screenshot redaction (names and avatars masked locally in your browser) and zero storage of raw photos.
🔍 An honest note on current status: What you are exploring today is an interactive concept & product experience prototype—it is not yet connected to live AI model APIs.
Before rolling out production LLM endpoints, infrastructure, and acquiring costs, I wanted to bring the complete interaction architecture, psychological framing, and safety boundaries to the Product Hunt community to see what genuinely resonates and what needs tuning.
I would love your candid feedback: 1. Does the separation between verified facts and cognitive assumptions help de-escalate anxiety? 2. How does walking through the Trainer feel compared to rehearsing conversations only in your head? 3. Which advisor archetypes feel most grounded, and what would you want from the live API integration?
I’ll be in the comments all day—thank you for taking a look and sharing your thoughts!
About LoveWell on Product Hunt
“Analyse relationship chats. Rehearse hard talks.”
LoveWell was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #345 on the daily leaderboard. LoveWell helps you unpack a real relationship situation—not receive generic advice. Analyse a chat or screenshot, choose a guide, find words for what matters, and rehearse a hard conversation. It separates facts from assumptions without predicting your partner.
On the analytics side, LoveWell competes within Dating, Couples and Artificial Intelligence — topics that collectively have 493k followers on Product Hunt. The dashboard above tracks how LoveWell performed against the three products that launched closest to it on the same day.
Who hunted LoveWell?
LoveWell was hunted by Nikita Shmytov . A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LoveWell including community comment highlights and product details, visit the product overview.
Nikita Shmytov 
Hi Product Hunt community — I’m Nik Shmytov, creator of LoveWell.
We’ve all been there: an ambiguous text message, two cancelled dinners in a row, a partner who suddenly pulls away, or an ex reaching out late at night. Your brain immediately enters cognitive overdrive—rereading old chats at 2 AM, crowdsourcing friends’ conflicting opinions, spiraling into worst-case assumptions, and dreading a confrontation.
I designed LoveWell to offer a calm, psychologically grounded third space for these noisy relational moments.
Instead of offering generic life-coach recipes or pretending to "read another person’s mind", LoveWell introduces a structured clarity workflow:
• 4 Advisor Archetypes: Marla (wise friend for somatic grounding & emotional calming), Sam (direct logic & tactical clarity), Jin (sexologist-psychologist on attachment dynamics & boundaries), and Emma (dating coach for organic warmth without games).
• 5 Situation Modes: Partner talks, new dating, ambiguous/ex connections, self-clarity, and chat reviews.
• Difficult Conversation Trainer: Rehearse what you actually want to say against an interactive counterpart simulator (who might interrupt, evade, or get defensive) with live coach timeouts before the real conversation.
• Privacy by Design: Client-side screenshot redaction (names and avatars masked locally in your browser) and zero storage of raw photos.
🔍 An honest note on current status:
What you are exploring today is an interactive concept & product experience prototype—it is not yet connected to live AI model APIs.
Before rolling out production LLM endpoints, infrastructure, and acquiring costs, I wanted to bring the complete interaction architecture, psychological framing, and safety boundaries to the Product Hunt community to see what genuinely resonates and what needs tuning.
I would love your candid feedback:
1. Does the separation between verified facts and cognitive assumptions help de-escalate anxiety?
2. How does walking through the Trainer feel compared to rehearsing conversations only in your head?
3. Which advisor archetypes feel most grounded, and what would you want from the live API integration?
I’ll be in the comments all day—thank you for taking a look and sharing your thoughts!