Site PhotoLog

ByAGD Studio

For professionals in security, logistics, and field services requiring authenticated proof of work.

Overview · Full Intel report in progress

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What is Site PhotoLog?

Site PhotoLog is a documentation utility designed to generate verifiable photographic evidence for professional field use. It automatically embeds secure time, location, and user-defined metadata into images to ensure data integrity and professional reporting.

Current Momentum

v1.0

No release notes available.

AI-powered deep analysis surfacing high-signal insights. Still in beta, accuracy improves daily. For informational purposes only.

Competition

Rivals identification in progress

7-Day Rank Pulse 🇺🇸

Utilities

No ranking data

Utilities ProductivityGrossing

Rating Pulse 🇺🇸

Gathering signals...

What makes this app unique?

How Is The App's Momentum Right Now?

What Are The Key Features?

Automatic Data StampingStandard

Imprints photos with company details, secure timestamps, location addresses, and user identity.

Verifiable Time & LocationStandard

Utilizes secure world clock synchronization and device GPS to prevent tampering with metadata.

Professional CustomizationStandard

Allows users to configure branding details once for consistent application across all captured media.

How much does it cost?

Free

Who Built It?

AGD Studio

★★★★★

(47)

Developing AI-driven health utilities and niche professional platforms designed to simplify complex data for health-conscious users and specific communities.

Portfolio

Apps

Free 3Paid 4

Health & Fitness29%

Business29%

Books14%

Who is AGD Studio?

AGD Studio has established a distinct position by blending AI-powered nutritional analysis with niche B2B and community-focused networking tools. Their current strategic trajectory shows a heavy pivot toward health-tech gamification, using interactive mechanics to lower the friction of manual food and activity tracking. The studio's primary moat is its privacy-first architecture, opting for local data storage in its fitness utilities to differentiate from cloud-heavy competitors. A key signal to watch is their high-frequency update cycle, suggesting a rapid iterative approach to refining AI scoring models in the health category.