This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).

Product upvotes vs the next 3

Waiting for data. Loading

Product comments vs the next 3

Waiting for data. Loading

Product upvote speed vs the next 3

Waiting for data. Loading

Product upvotes and comments

Waiting for data. Loading

Product vs the next 3

Loading

PictaBase

Visual image database for teams outgrowing standard folders

Replace dumb photo folders with a relational visual database. PictaBase is built for deadline-driven teams (film, real estate, agencies) who need strict metadata search without vendor lock-in. Your data writes to portablemeta.json sidecars directly in S3. The stack: React 19, PHP 8.4, and direct-to-S3 uploads. For this 24-hour launch sprint, our goal is to battle-test the architecture under real load. Please stress test the foundation and report any bugs via our website's support system!

Top comment

Hey makers — Chris here.

I spent 30 years cutting motion pictures and television. Every production taught me the same lesson: continuity photos aren't decorative — they're working records. The reshoot is Tuesday, the actor has a scar that has to match last Thursday's scene, and if you can't find the right reference photo in 90 seconds, the production is paying for your file system.

I built PictaBase because I needed a visual database, not a media library. It's the tool I wish I'd had on set — and the same pain shows up in real estate, construction documentation, insurance, archives, and any team that relies on photos as working records.

A few things I'm proud of technically:

- Pixel-blind server. Image bytes go browser → S3 directly via presigned POST. Zero bytes touch my infrastructure.

- No lock-in. Every tag, note, and AI label is written as a `.meta.json` sidecar in your own bucket. If PictaBase disappears tomorrow, your data is yours in standard JSON.

- Real engineering discipline. 287 backend PHP files at PHPStan Level 8, 488 PHPUnit tests, strictly typed React frontend. The codebase has been through two adversarial AI security review passes and a dedicated pre-launch efficiency audit.

- An LTD built to survive beyond launch day. Egress is controlled via CloudFront with project-scoped signed cookies; the cost model was built before the deal was priced.

Try it free — no credit card. The 250 MB Free Tier has zero feature gating. Break it, poke at it, audit the API.

Product Hunt today only: Use code phearly30 for 30% off any LTD tier.

I'll be in the comments all day. Find a real bug, report it, and I'll send you an extra LTD code on the house.

Thank you to everyone voting today — it genuinely means a lot.

— Chris (IMDb: https://www.imdb.com/name/nm0174749)

About PictaBase on Product Hunt

Visual image database for teams outgrowing standard folders

PictaBase was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #102 on the daily leaderboard. Replace dumb photo folders with a relational visual database. PictaBase is built for deadline-driven teams (film, real estate, agencies) who need strict metadata search without vendor lock-in. Your data writes to portablemeta.json sidecars directly in S3. The stack: React 19, PHP 8.4, and direct-to-S3 uploads. For this 24-hour launch sprint, our goal is to battle-test the architecture under real load. Please stress test the foundation and report any bugs via our website's support system!

On the analytics side, PictaBase competes within Developer Tools, Database and Graphic Design — topics that collectively have 516.9k followers on Product Hunt. The dashboard above tracks how PictaBase performed against the three products that launched closest to it on the same day.

Who hunted PictaBase?

PictaBase was hunted by Chris Conlee. 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 PictaBase including community comment highlights and product details, visit the product overview.