tinh
A private voice journal that turns daily habits into on-device pattern analysis.
Tagline
Your voice, your patterns.
Private trigger tracking for people who hate spreadsheets.
The offline symptom detective on your phone.
Quantify habits without ever leaving your device.
The private quantified-self journal for people who want insight without spreadsheet labor.
The app’s core value is not just journaling; it’s reducing the friction between spontaneous daily logging and useful pattern discovery. This differentiates it from manual tracking tools and appeals to users who hate structured forms.
The alternative to habit trackers that make you tap through menus and still miss the real story.
The landing page repeatedly contrasts tinh with form-heavy trackers, and the voice-first flow is clearly designed to beat checkboxes and rigid templates on speed and consistency.
The symptom and trigger detective that works entirely offline on your device.
Privacy is a first-class feature here, not a compliance footnote. The no-cloud, no-server, airplane-mode promise is a strong wedge for users tracking sensitive health data who are wary of mainstream wellness apps.
Primary user
Health-conscious iPhone user who already experiments with diet, supplements, sleep, and exercise and wants a frictionless daily log
ICP #1
Biohacker or quantified-self enthusiast tracking sleep, caffeine, workouts, and supplements
Pain
They collect scraps of data across Notes, Apple Health, and memory, but never get a clean habit-to-outcome map they can trust.
Why this solves
tinh is built specifically for rapid daily capture plus structured categorization and correlation, so the user can log in seconds and actually discover patterns instead of just storing anecdotes.
ICP #2
Person managing recurring migraines, anxiety, or brain fog
Pain
They can’t remember what they ate, took, or did on the days symptoms spiked, so every trigger hunt turns into guesswork.
Why this solves
tinh lets them record tiny voice notes throughout the day and later correlate them with outcomes like migraines, anxiety, and focus without the burden of a formal diary.
ICP #3
Privacy-focused Apple ecosystem user with sensitive health data
Pain
They want to journal health details but don’t trust cloud-based apps that sync notes, voice data, and personal patterns to a server.
Why this solves
tinh keeps transcription, NLP, storage, and analysis entirely on-device, which directly addresses the fear of exposing highly personal lifestyle and symptom data.
Strengths
- +The privacy claim is concrete and unusually strong: on-device transcription, NLP, ML, and storage with no cloud or server.
- +The product flow is easy to understand because it is framed as three steps: record, categorize, discover patterns.
- +The page shows specific outputs like a correlation heatmap and matrix, which makes the promise feel tangible instead of abstract.
Weaknesses
- −The audience is too broad at first glance; it reads like a journaling app, a health tracker, and a quantified-self tool at the same time.
- −There is no sharp proof of accuracy or usefulness, so the correlation claims feel aspirational without trust-building evidence or examples.
- −The page does not explain why voice is meaningfully better than text for this use case beyond speed.
- −There is no pricing or conversion clarity beyond "founding member pricing at launch," which weakens purchase intent.
- −The landing page lacks real-world use cases or testimonials that would help skeptical users believe the habit-to-outcome analysis.
Fix these
- Choose a primary wedge, such as migraine trigger tracking or quantified-self logging, and build the headline and above-the-fold copy around that use case.
- Add a concrete before-and-after example showing how a week of notes revealed one specific pattern, with actual sample entries and an outcome chart.
- Include trust proof: a short technical explanation of on-device processing, plus a screenshot or diagram showing no cloud architecture.
- Show a side-by-side comparison against Bearable, Day One, and Apple Journal to make the speed and privacy advantages obvious.
- Add pricing transparency or at least a clear founding member offer so early-access visitors know what they are signing up for.
Drop-in replacement copy
Headline
Track habits by voice.
Private on-device pattern detection for your daily life.
Log in seconds, not minutes
Tap once, speak naturally, and tinh turns your note into structured entries without making you fill out forms. That makes daily tracking realistic when you are busy, tired, or dealing with symptoms.
Keep your health data local
Transcription, categorization, storage, and correlation analysis all happen on your iPhone and Mac. Nothing is sent to a cloud server, so sensitive notes stay private by default.
See what actually correlates
tinh builds a local lifestyle database over time and surfaces patterns between habits and outcomes like energy, focus, migraines, and anxiety. It is designed to turn scattered notes into something you can use.
Learn your vocabulary
When you correct a category, tinh adapts to your words and habits. That means the app gets more useful the more you use it instead of staying generic forever.
FAQ
How is this different from Apple Journal or Day One?
Those are great for journaling, but tinh is built for fast voice capture plus structured health pattern analysis. It is trying to answer a different question: what tends to happen before a good or bad day?
Does anything leave my device?
No. The app is designed to run entirely on iPhone and Mac, including transcription and analysis. If privacy is the main reason you hesitate to track sensitive habits, that is the point.
How accurate is the categorization?
It starts with automatic categorization and improves when you correct it. The goal is not perfect AI theater; it is getting to a useful local dataset you can trust over time.
Who is this for?
People who already care about sleep, supplements, food, exercise, symptoms, or quantified-self tracking and want a faster way to capture the day without spreadsheet labor.
Can I export my data?
Yes. There is local export from Settings, so you can keep a copy of your notes and patterns outside the app whenever you want.
I built tinh: a private voice journal that turns quick notes into habit patterns on-device. Tap once, talk for 10 seconds, and it sorts meals, supplements, sleep, activity, symptoms. Then it shows what actually correlates with energy, focus, migraines, anxiety.
tinh is a journaling app for people who care about health data and privacy. Transcription, categorization, storage, correlation analysis — all on iPhone and Mac. No cloud. No server. Airplane mode works.
Most habit trackers fail because logging is annoying. Voice is different. You can capture a note in 5 seconds while making coffee, after a workout, or when a migraine starts. That tiny reduction in friction is the whole product.
I kept seeing the same problem in self-tracking: people have data everywhere and insight nowhere. So tinh does 3 things: record fast categorize automatically detect correlations locally Less journaling theater. More signal.
If you’ve ever stared at a symptom flare-up and thought “what changed?”, you already know the pain. The food, the supplements, the sleep debt, the stress — all gone from memory by dinner. tinh keeps the day in tiny voice notes so you can actually review it later.
The moment a health tracker feels like admin, people stop using it. tinh is for the opposite: tap, talk, done. No forms. No checklist fatigue. No exporting to Sheets because the app never found the pattern.
Example: "Coffee at 9, intense workout, skipped lunch, headache by 3." On-device, tinh turns that into: - caffeine - activity - meal gap - symptom Then over time it shows whether that combo keeps happening before low-energy days.
Not a mood diary. Not a note dump. A local lifestyle database. You log with your voice, tinh learns your vocabulary, then it surfaces heatmaps for focus, anxiety, migraines, energy. The point is simple: find the pattern before your memory does.
The nicest feedback so far: people said it felt like “finally the app I meant to use every day.” That’s the whole bet. If logging takes less effort than opening Notes, people will do it. If it stays private, they’ll trust it with real data.
People testing tinh didn’t ask for more charts. They asked for faster capture, better categorization, and a way to keep everything local. So that’s the product: speed first, privacy first, insight second.
Angle: private quantified-self logging
Most self-tracking tools fail for one boring reason: logging is too annoying. If you want people to track meals, sleep, supplements, symptoms, and workouts, you can’t make them tap through 12 fields first. So I built tinh around a simpler idea: tap once, speak for a few seconds, and let the phone do the rest. It transcribes on-device. It categorizes on-device. It stores everything on-device. Then it looks for correlations between habits and outcomes like energy, focus, migraines, and anxiety. Not because charts are cool. Because memory is unreliable. And because privacy matters when the data is this personal. The goal is not more journaling. The goal is less friction and more signal.
Angle: privacy-first health data
Health data is one of the few categories where “just sync it to the cloud” is a bad default. A lot of people want to track symptoms, supplements, food, sleep, and mood. They do not want that data sitting on someone else’s server. That’s why tinh is built to run entirely on iPhone and Mac. No cloud transcription. No server-side NLP. No hidden sync layer. The app is basically a private local lab for your daily life. You speak a quick note. It gets structured locally. Over time, the app surfaces what tends to happen before good days and bad days. For people managing migraines, anxiety, fatigue, or just trying to understand their own habits, that matters. If the product can’t be trusted, it won’t be used. If it’s too slow, it won’t be used. If it’s not private, many people won’t even try it.
Angle: voice-first beat forms
I think voice is underrated for personal tracking. Not because it’s trendy. Because it’s the fastest way to capture messy reality. When you are walking, cooking, driving, leaving the gym, or in the middle of a symptom flare-up, a form is friction. A voice note is not. That’s the core of tinh: - one tap to record - automatic transcription - automatic categorization - local pattern detection The app is aimed at people who already care about self-experimentation, but hate the admin work that usually comes with it. The interesting part is not the note itself. It’s the accumulation. Once enough notes exist, you can actually see whether coffee, sleep, workouts, supplements, or meal timing line up with energy and symptoms. That’s the kind of insight I wanted from tracking tools for years, and never got without spreadsheets.
No visuals for this kit yet.
Tagline
Private voice journaling for pattern hunters
Description
Tap once, speak a quick note, and tinh turns it into structured habits and local correlations. Everything runs on your device, so your health data stays private.
Maker's first comment
I built tinh because I kept failing at self-tracking for the same reason everyone does: the logging part is too slow. I wanted something I could use in the real world, not only when I had time to sit down and fill out a form. The turning point was realizing voice solves the capture problem. A 5-second note after coffee, after a workout, or when a symptom starts is realistic. Once the notes are there, the app can do the boring work: transcribe, categorize, and look for patterns locally. I also wanted the privacy story to be real, not marketing. All transcription, storage, and analysis happen on-device. Nothing is uploaded. If you care about your health data, that should be the default. If you try it, I’d especially love feedback on the correlation views, the speed of capture, and whether the categorization feels accurate enough for daily use.
Pinned maker comment
Would love feedback on two things: whether the voice-first flow is actually faster than your current tracking method, and whether the correlation views are useful enough to keep you logging daily.
Meta
Hypothesis: voice logging beats habit forms.
If people can log meals, supplements, sleep, and symptoms in 5 seconds, they’ll actually do it. tinh turns quick voice notes into on-device categories and correlations for energy, focus, migraines, and anxiety. Built for privacy-first iPhone users who want signal, not admin.
Google Search
Private symptom tracker on iPhone
Search hypothesis: people looking for migraine trigger tracking, symptom journaling, or quantified self tools want a faster and more private alternative to cloud apps. tinh is an offline voice journal that structures daily notes and finds habit-to-outcome patterns on-device.
Reddit Promoted
I got tired of tracking in spreadsheets.
So I built a voice journal that records quick health notes, categorizes them locally, and looks for correlations without sending anything to a server. It’s aimed at people tracking sleep, supplements, migraines, anxiety, or energy who want a faster workflow than forms and spreadsheets.
Subreddits
r/SideProject
Show the product as a hard-won answer to self-tracking friction, with a short demo and privacy angle.
Rules: Must be a project you built; be transparent; avoid pure promotion; include what you learned.
r/indiehackers
Founding story: why voice-first self-tracking exists, what failed before, and what users are responding to.
Rules: Share process and lessons; no spammy sales language; engagement matters more than link dumping.
r/microsaas
Niche app for quantified self and symptom tracking, with a very specific workflow and offline privacy.
Rules: Keep it focused; explain who it’s for; show the micro-SaaS angle clearly.
r/EntrepreneurRideAlong
Build-in-public updates on how early users react to voice journaling and what messaging converts.
Rules: Be honest; show progress; ask for feedback and advice rather than just promotion.
r/QuantifiedSelf
Pattern discovery for people who already track habits, symptoms, supplements, and energy but hate manual logging.
Rules: Contribute genuinely to the self-tracking discussion; avoid low-effort marketing; be specific about methodology.
Communities
Post a detailed use case around migraine or energy pattern detection, then ask for critique on the correlation approach and capture workflow.
Share a build log with before/after screenshots, then ask which pain point is strongest: privacy, speed, or trigger detection.
Launch with a technical post focused on on-device transcription and local analysis, not the health angle alone.
Cold outreach template
Hey {firstName} — saw you mentioned {context}. I built tinh, a private voice journal that logs meals, supplements, sleep, and symptoms on-device, then looks for patterns. If you want, I can send you a 30-second demo and a free early-access code.
Product Hunt timing
Launch on Tuesday or Wednesday at 12:01am Pacific, after you have 20-30 warm supporters lined up and a landing page that shows one concrete pattern example. You want maximum day-one momentum while US and Europe are both awake.
Indie Hackers post ideas
- 01I built an offline voice journal for migraines and energy tracking — here's why
- 02Why I stopped trying to make habit tracking forms work
- 03What early users actually wanted from a private self-tracking app
Competitor alternatives
Current tone of voice
Minimal, confident, privacy-forward, and slightly manifesto-like, exemplified by lines like "Quantify yourself with your voice. And only your voice." and "Nothing ever leaves your phone."
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