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Amoli
Your photos become a living journal — all on your phone
Amoli reads your photo library with a 3.7 GB AI model that runs entirely on your iPhone — every photo gets a written reading, faces become named people, themes become threads. Ask it about your own past. No account, no server, no upload. Ever.
Hi Product Hunt — solo developer here. 👋
Amoli started with a simple observation: my photo library already holds my much of my life — eight years, multiple countries, travel — and I couldn't ask it anything. Search found dogs and beaches. It couldn't tell me what that winter in Milan felt like.
So I built a journal that reads. Amoli runs Gemma 4 E4B — a 3.7 GB vision-language model — entirely on your iPhone, and works through your library one photograph at a time, writing what it finds: who's there, where it seems to be, what was happening. Faces you name once become people it knows. Themes become threads it follows across years. And then you can ask — "when were we in Kobe?", "what did we do that spring in 2024?" — and it answers in prose, from your own photos, with the photos on the page.
The defining constraint I made is that there is no server. No account, no upload, no analytics — not a privacy policy, an architecture. The model lives on the phone; your photos, your words, and everything Amoli writes never leave it. Deleting the app deletes everything.
The requirements are high: it needs a recent iPhone (the model is large by design), the first launch downloads ~3.7 GB over Wi-Fi (a few minutes on decent internet), and reading a big library takes some evenings on the charger — mine read 14,000 photos at about one every six seconds.
After a 14-day full trial, the ongoing AI work is a subscription — but nothing already made is ever taken back: every reading, thread, and conversation stays open, search works forever, filing new photos stays free. The principle is "your memories are always yours; only new intelligence pauses."
I spent launch week chasing a GPU bug through my own family's phones (the full war story is will be on Hacker News today), so ask me anything — about on-device inference on iOS, the privacy architecture, or why a photo journal should write prose. I'll be here all day.
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About Amoli on Product Hunt
“Your photos become a living journal — all on your phone”
Amoli was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #143 on the daily leaderboard. Amoli reads your photo library with a 3.7 GB AI model that runs entirely on your iPhone — every photo gets a written reading, faces become named people, themes become threads. Ask it about your own past. No account, no server, no upload. Ever.
Amoli was featured in Privacy (11.3k followers), Photography (143.3k followers) and Artificial Intelligence (477.4k followers) on Product Hunt. Together, these topics include over 139.4k products, making this a competitive space to launch in.
Who hunted Amoli?
Amoli was hunted by kevin ehmka. 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.
Want to see how Amoli stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
kevin ehmka