Enjour is a personal energy journal. Log food, thoughts, and relaxation with a quick energy rating before and after. Each log takes under 30 seconds. No calorie counting. No macro targets. Just one question: did this give me energy, or take it? AI powered by Anthropic Claude surfaces patterns in your own data. What boosts your energy. What drains it. Why the same meal can leave you energised one day and flat the next. Free on iOS. Android coming soon.
I can login an entry with in 15-20 seconds. Would love to see how my patterns emerge!
What needs improvement
None so far, I’m still exploring the app.
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Maker
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Hey PH! I am Rishi, the solo developer behind Enjour. Built this because I kept getting generic wellness advice that never explained why my energy
was so inconsistent. Would love your honest feedback — what is missing, what is confusing, what would make you log daily. Happy to answer anything!
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How does it handle delayed effects? For example, sweets give a quick lift, but the crash ( feeling sleepy, tired) comes an hour later, after you've already logged the boost. Curious whether that later dip can also be logged
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Maker
@alieksia Great question! You can log multiple entries — one right after the sweets (the lift) and another an hour later when the crash hits. Each entry captures your energy at that moment, so over time Enjour's AI starts connecting the dots — sweets → short boost → crash pattern. The 'before energy' of your next entry is essentially your crash. The more you log, the clearer the pattern becomes!
The pre/post energy rating framing is genuinely smart, it sidesteps the obsessive tracking trap most wellness apps fall into. Curious how Claude handles surfacing patterns when the dataset is still small.
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Maker
@zekio0r2 Thanks — that tension was the core design question. Most apps optimize for data completeness; we optimize for the moment right after eating/activities, when the signal is freshest and honest.
On small datasets: Claude looks for directional patterns rather than statistical significance. Even 5–7 entries can surface something like "your energy dips consistently after wheat-heavy lunches" — not because the sample is large, but because the contrast is sharp. The model flags it as a tentative pattern, not a conclusion, so you're nudging curiosity rather than creating false certainty.
The real unlock happens around 3–4 weeks of consistent logging. That's when cross-day rhythms start showing up — things like "Friday evenings always tank your Saturday morning energy." We surface those as questions, not answers.
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love how quick the logging is, 30 seconds is real not a marketing line. caught a pattern my morning coffee actually drains me after 90 minutes which i never would have noticed on my own.
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Maker
@remziyedin3h8y thank you for your comment. The 90-minute coffee window is exactly the kind of thing no one notices without data. Really glad Enjour caught it for you!
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Maker
@remziyedin3h8yThank you! The 90-minute coffee window is exactly the kind of thing no one notices without data. Really glad Enjour caught it for you!
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Maker
Quick update for anyone who tried the app earlier — food logging has been completely rebuilt in v1.2.0, just shipped today.
You now just type the dish name and AI breaks it into ingredients automatically. Type "masala dosa, filter coffee" and it figures out the full ingredient breakdown for each dish. Supports multiple dishes at once, per-dish portion sizes, and cooking methods.
No more tapping through grids of ingredients. Just type what you ate.
Would love honest feedback from anyone who gives it a try.
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Maker
Thank you @nicole_hynek for the support on launch day — really appreciate it!
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Maker
Enjour - Now available in guest mode — no sign-up needed. Open the app, start logging immediately, see your energy patterns.
How does it handle delayed effects? For example, sweets give a quick lift, but the crash ( feeling sleepy, tired) comes an hour later, after you've already logged the boost. Curious whether that later dip can also be logged
@alieksia Great question! You can log multiple entries — one right after the sweets (the lift) and another an hour later when the crash hits. Each entry captures your energy at that moment, so over time Enjour's AI starts connecting the dots — sweets → short boost → crash pattern. The 'before energy' of your next entry is essentially your crash. The more you log, the clearer the pattern becomes!
@rishi_raj_mohta Thank you, that makes sense
The pre/post energy rating framing is genuinely smart, it sidesteps the obsessive tracking trap most wellness apps fall into. Curious how Claude handles surfacing patterns when the dataset is still small.
@zekio0r2 Thanks — that tension was the core design question. Most apps optimize for data completeness; we optimize for the moment right after eating/activities, when the signal is freshest and honest.
On small datasets: Claude looks for directional patterns rather than statistical significance. Even 5–7 entries can surface something like "your energy dips consistently after wheat-heavy lunches" — not because the sample is large, but because the contrast is sharp. The model flags it as a tentative pattern, not a conclusion, so you're nudging curiosity rather than creating false certainty.
The real unlock happens around 3–4 weeks of consistent logging. That's when cross-day rhythms start showing up — things like "Friday evenings always tank your Saturday morning energy." We surface those as questions, not answers.
love how quick the logging is, 30 seconds is real not a marketing line. caught a pattern my morning coffee actually drains me after 90 minutes which i never would have noticed on my own.
@remziyedin3h8y thank you for your comment. The 90-minute coffee window is exactly the kind of thing no one notices without data. Really glad Enjour caught it for you!
@remziyedin3h8y Thank you! The 90-minute coffee window is exactly the kind of thing no one notices without data. Really glad Enjour caught it for you!
Quick update for anyone who tried the app earlier — food logging has been completely rebuilt in v1.2.0, just shipped today.
You now just type the dish name and AI breaks it into ingredients automatically. Type "masala dosa, filter coffee" and it figures out the full ingredient breakdown for each dish. Supports multiple dishes at once, per-dish portion sizes, and cooking methods.
No more tapping through grids of ingredients. Just type what you ate.
Would love honest feedback from anyone who gives it a try.
Thank you @nicole_hynek for the support on launch day — really appreciate it!
Enjour - Now available in guest mode — no sign-up needed. Open the app, start logging immediately, see your energy patterns.
https://apps.apple.com/us/app/enjour/id6785255903