Launched this week
Reflct
The journaling habit you'll actually keep
133 followers
The journaling habit you'll actually keep
133 followers
Most journaling apps give you a blank page and wish you luck. Reflct gives you a mirror. Every evening, answer three guided questions from 120+ rotating prompts. Log your mood in one tap. Then let AI do what humans can't - connect the dots across weeks and months of entries to reveal patterns in your mood, energy, and thoughts you'd never notice alone. Free to start. No credit card required.
Reflct
Hey Product Hunt 👋 I'm Mark, a solo builder.
I built Reflct because I genuinely couldn't stick to journaling. Every app I tried either gave me a blank page (intimidating) or required twenty minutes of deep reflection I didn't have energy for at 10pm. I wanted something that fit into real life, quick, guided, and actually useful over time.
So I built it. Three questions every evening, under two minutes.
The AI isn't gimmicky. It genuinely analyzes your entries over weeks and surfaces patterns you wouldn't notice yourself. Things like "your mood consistently drops mid-week" or "you feel most settled when you protect your evening routine." Stuff that takes a therapist months to observe, surfaced automatically.
What's live today:
Free tier:
120+ guided questions across 8 categories
Mood tracking with a visual heatmap
Voice entries (speak instead of type)
Streak tracking
AI acknowledgment after every reflection (a quiet personal response to what you just shared)
Genuinely useful without ever paying
Pro at $7.99/month adds:
AI weekly summaries every Sunday
Deep pattern detection at 20+ entries
AI monthly mood narrative
Full-text search across all entries
Unlimited history
Question swapping with preference learning
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I'd love honest feedback, especially from anyone who has tried journaling and quit. That's exactly who I built this for.
Happy to answer anything 🙏
Support email for any question or if you would like to help out and report any bugs: support@reflct.co
Hey Mark, this is one of the more thoughtful launches I've seen today.
The under two minutes constraint is what makes this work. Most journaling apps ask too much, and users bail. You've removed that friction in a way that feels deliberate.
The AI surfacing patterns over time is also the kind of feature that could easily feel gimmicky but doesn't here. That's harder to pull off than it looks.
One copy thought a concrete example in the hero could do a lot of work. Something like "Notice your mood dips every Wednesday; fix it before it compounds" makes the outcome feel real, especially for someone who's already quit three other journaling apps.
Curious what prompt types drive the most retention, I work with SaaS founders on messaging and positioning, so I'm always trying to understand what keeps users coming back at the product level. Would love to know what you're seeing.
Reflct
@copywizard Thank you, this means a lot! The hero example point is valid and I'm revisiting that section this week. On prompt types and retention, Reflct is actually still learning this itself. Every question has a difficulty weight and every category builds a preference profile as users interact with them. Over time the app surfaces what resonates for each person specifically. Once there's enough data behind that I'll have a much more precise view on that.
Feel free to reach out at support@reflct.co, would be curious what you see on the messaging side too.
Told
The '120+ rotating prompts' detail is interesting — do people actually exhaust those or does novelty wear off around week 3 regardless? The real problem with journaling apps isn't the blank page, it's that reflection feels like homework after a long day. Three guided questions might lower the barrier enough, but I'd be curious whether the AI pattern-matching is what retains users or just what sells them on signing up. The mood-over-time angle is genuinely useful if the insights surface something surprising — most people quit when the feedback loop feels obvious.
Reflct
@jscanzi
These are exactly the right questions and honestly I don't have complete answers yet, it's too early for real retention data.
But here's my thinking on each: On exhausting 120+ questions, probably not the point. The variety isn't there to prevent repetition forever, it's there to prevent the "same question every day" fatigue that kills habit in week one. After that the habit either forms or it doesn't, independent of question novelty.
On reflection feeling like homework, well, this is the real problem you're naming and the one I think about most. The two minute constraint is an attempt to solve it but you're right that it's an attempt, not a proof. The acknowledgment at the end of each entry is the other piece, making it feel like something happened rather than just another task completed.
On whether AI patterns retain or just sell, I suspect you're right that patterns sell the signup. What actually retains is probably the acknowledgment loop and the streak. The patterns are a reason to come back after week three when the habit is fragile. Whether that's enough I'll know in about 30 days. The surprising insight point is where I think the real retention lives. Obvious feedback gets ignored. Something you didn't expect about yourself is worth coming back for. Ask me again in a month, I'll have real data by then.
I'm exactly the person you built this for—I've quit journaling many times because of that intimidating blank page. Does the AI 'acknowledgment' after each entry feel like a real conversation, or is it more of a summary?
Reflct
@linapok
It's closer to acknowledgment than conversation. It reads the emotional weight of what you wrote and responds
to that, not just the content. Deliberately quiet, one short note, then lets you rest.
Still actively improving this part. But the goal was always to make you feel heard rather than start a dialogue.
@embico Deliberately quiet’—love that phrase. As a maker also focused on 'invisible' tools for focus, I think that’s a brilliant design choice. Feeling heard without the social pressure is exactly what an evening routine needs. Good luck with the launch!
I like the approach of AI reflecting rather than advising — with data this personal it is the safer path. But I am curious where the line is. When the AI sees mood dropping for several weeks in a row does it just surface that or does it suggest a next step?
Reflct
@klara_minarikova
Really good question and it's something I thought hard about while building this. Right now Reflct surfaces the pattern and stops there. So if your mood has been dropping for several weeks, it will name that clearly in your weekly summary or pattern detection. Something like "your mood has trended downward over the past three weeks, most noticeably mid-week."
The next step is intentionally left to you, the user. My reasoning: for data this personal, unsolicited advice can feel intrusive or even patronizing. "Your mood is low, here's what to do" assumes the AI knows your context, your life, your reasons. It doesn't. That said, I've had a few people suggest a softer version of this, not prescriptive advice but something like "others in similar patterns have found X helpful." That's a direction I'm genuinely considering.
The line I want to hold: Reflct should always feel like a mirror that occasionally points something out, never a coach telling you what to do.
Still figuring out exactly where that line sits.
Thanks for mentioning this 🙏
@embico Thanks for such a thoughtful answer. The peer-based approach sounds like a good middle ground — it shows options without the AI pretending to know the context. A mirror that occasionally mentions what worked for others, that I would want to try.
How does Reflct’s AI ensure the privacy and security of sensitive journal entries while processing them to identify long-term emotional and behavioral patterns?
Reflct
@mordrag
For AI features, Reflct uses Anthropic’s API. Only the data needed for each feature is sent (e.g. that week’s entries for your summary, or the last few weeks for patterns), never your full journal. Anthropic doesn’t use your content to train their models, and your entries aren’t read by humans for training or review (per their stated policies). Reflct doesn’t sell or share your data; you can export or delete it anytime from Settings. Full details are in the Privacy Policy.
I treat this as an ongoing priority and I’m open to ideas on how to improve safety and transparency when AI processes user input. If you have suggestions, I’d love to hear them.
Thank you!
Would be cool if you added a feature where after a journal entry, it pulls up a random journal entry you made a while ago to show you how your entry / mood has evolved over time. - This would also match the name "Reflct".
Great idea though! Wishing you the best with this 🍃
Reflct
@minhajulll This is a genuinely great idea and honestly you're right that it fits the name perfectly. "On this day a year ago you wrote..." is something I've seen done poorly in other apps but the way you're describing it, tied to mood evolution and not just nostalgia, is actually meaningful. Seeing that you were anxious about something that no longer affects you at all is a powerful moment of perspective. Adding this to the roadmap. Thank you for the kind words.