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What Made It VS Code Effects

Compare What Made It VS Code Effects and see what are their differences

What Made It

Evidence-first AI detection for images, PDFs, and digital media. Inspect multi-channel forensic signals, C2PA Content Credentials, and metadata with transparent limitations.

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Code Effects

Code Effects is the fastest and most intuitive .NET business rules engine trusted by government entities and Fortune 500 corporations all over the world

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Jaah
Jaah is Just Another Agentic Harness, for production-grade AI-generated code. Coding agents write the code. Jaah makes it production-grade. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

What Made It
Code Effects
Website whatmadeit.com codeeffects.com
Pricing
Official pricing
Official pricing
Platforms
Google Chrome Safari Web iOS +1
—
Company 2026 2009
Listed in
AI Detection Content Moderation Image Recognition AI Video Moderation Image Moderation +3
Business & Commerce Business Management Business Process Management

About What Made It and Code Effects

In their own words, as submitted to SaaSHub.

What Made It
Code Effects

Evidence-First AI Content Authenticity & Digital Provenance Most AI detectors act as black boxes: you upload an image, and they return a single, unverified percentage. When models disagree or when images are compressed by social media, users are left guessing. What Made It? takes a forensic...

Read more about What Made It

Code Effects Software is the developer of state-of-the-art business rules engine that combines an incredible performance of rule evaluation with revolutionary web interface, allowing the end-users to author and manage their corporate business rules with no knowledge of programming languages or IT...

Read more about Code Effects

Features and specs

What each product offers, as listed by its team.

What Made It 5 features
Code Effects 5 features
  • Multi-Signal Evidence
    Evaluates visual diffusion patterns, container metadata, and C2PA credentials independently instead of a single black-box score.
  • Data Privacy & Security
    Zero file retention. Uploaded files are processed in ephemeral encrypted pipelines, immediately discarded, and never used to train AI.
  • C2PA Provenance Forensics
    Cryptographic manifest inspection verifying authentic camera hardware signatures (Leica, Sony) vs. AI generators (DALL·E, Midjourney).
  • Client-Side Tools
    100% private browser tools for PDF document tampering, frame-by-frame video deepfake checks, and EXIF metadata extraction.
  • Supported Formats & Pricing
    JPEG, PNG, WebP, PDF documents. Freemium with 3 free scans per day (no signup required) and Pro plan at $19/month.
  • No-code rule builder
    Provides a visual, English-like rule editor that allows business users without programming skills to create and modify complex business rules and decision logic.
  • .NET integration
    Designed specifically for .NET environments, allowing seamless embedding into C# and VB.NET applications, which is beneficial for teams already invested in the Microsoft technology stack.
  • Rule compilation to native code
    Rules are compiled directly into .NET assemblies rather than interpreted at runtime, which can result in faster execution performance compared to some interpreted rule engines.
  • Customizable UI components
    Offers embeddable rule editor controls that can be styled and integrated into existing applications, giving developers flexibility in how end-users interact with the rule authoring interface.
  • Reduces developer dependency
    By enabling business analysts to author and update rules directly, it can reduce the need for constant developer involvement when business logic changes, potentially speeding up time-to-market for rule changes.

Possible disadvantages

  • Limited platform scope
    Being tightly coupled to the .NET ecosystem limits its usefulness for organizations using other technology stacks like Java, Python, or Node.js, reducing its overall market flexibility.
  • Learning curve for setup
    While the rule editor is designed for business users, the initial setup, integration, and configuration within a .NET application often requires significant developer expertise and time investment.
  • Niche market presence
    Compared to larger, more established business rules engines and decision automation platforms, Code Effects has a smaller user base and community, which can mean less third-party support, tutorials, and shared resources.
  • Pricing transparency
    Detailed pricing information is not always readily available publicly, which can make it harder for prospective customers to quickly assess cost-effectiveness compared to competitors.
  • Scalability for complex enterprise needs
    For very large-scale, multi-platform, or highly complex enterprise decisioning needs, it may lack some of the advanced features, integrations, and scalability options found in more comprehensive decision management suites.

Analysis

An editorial look at what each product does well and who it suits.

What Made It
Code Effects

No analysis of What Made It yet.

Overall verdict

  • Code Effects is a specialized business rules and workflow automation engine for .NET developers, well-suited for organizations needing to embed complex, dynamic business logic into applications without hard-coding rules. It's a solid choice for enterprises with .NET-based systems that require frequent rule changes managed by non-developers, though its niche focus and licensing costs may not suit every team.

Why this product is good

  • Provides a visual rule-building interface that allows business users, not just developers, to create and modify business logic
  • Deep integration with .NET framework, making it a natural fit for organizations already invested in the Microsoft technology stack
  • Reduces developer workload by separating business rule maintenance from core application code
  • Supports complex conditional logic and workflow automation for various industries
  • Offers rule versioning and management features that help maintain compliance and auditability

Recommended for

  • .NET development teams looking to implement dynamic business rules engines
  • Enterprises needing to empower non-technical business users to adjust logic without code deployments
  • Companies in regulated industries requiring auditable and versioned business rule changes
  • Organizations seeking to reduce time-to-market for business logic updates
  • Software vendors building configurable, rule-driven applications for clients

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
What Made It
Code Effects
100% 100%
Image Recognition
0% 0%
0% 0%
Business Management
100% 100%
100% 100%
Content Moderation
0% 0%
0% 0%
Business & Commerce
100% 100%

Questions & Answers

As answered by people managing What Made It and Code Effects.

What makes your product unique?

What Made It's answer

What Made It? is built on an evidence-first, transparent philosophy. Unlike typical AI detectors that act as black boxes spitting out a single untrusted percentage, What Made It? evaluates three independent evidence channels separately: visual diffusion micro-patterns, container EXIF/XMP metadata, and cryptographic C2PA Content Credentials. Furthermore, it provides dedicated 100% private, client-side browser tools that execute directly on your device with zero file uploads.

Why should a person choose your product over its competitors?

What Made It's answer

  1. Consensus Over Guesswork: We cross-examine signals across multiple independent model architectures to eliminate single-detector false positives.
  2. Uncompromising Privacy: Files are processed through ephemeral encrypted pipelines and immediately discarded — never retained, sold, or used to train AI models.
  3. Hardware-Level Provenance: We inspect C2PA manifests to verify authentic hardware camera signatures (Leica, Sony, Nikon) versus AI generator assertions (DALL·E, Midjourney, Firefly).
  4. Multimodal & Document Integrity: Beyond images, we inspect PDF contracts for internal revision tampering and video clips for frame-by-frame deepfake flickering.

How would you describe the primary audience of your product?

What Made It's answer

Our primary audience includes: - Journalists, fact-checkers, and OSINT researchers verifying viral media and synthetic deepfakes. - Legal, HR, and compliance professionals auditing contracts, invoices, and resumes for digital alterations. - Photographers, digital artists, and publishers proving authentic camera capture and protecting copyright provenance. - Privacy-conscious professionals who require rigorous digital authenticity checks without uploading sensitive files to external servers.

What's the story behind your product?

What Made It's answer

As generative AI exploded, content verification became an opaque guessing game dominated by proprietary black-box detectors that frequently contradicted one another with no explanation. We founded What Made It? on a foundational principle: a conclusion is useful only when you can inspect how it was reached. We set out to build an open, verifiable evidence platform that separates visual signals from file metadata and cryptographic provenance, delivering clarity rather than false certainty.

Which are the primary technologies used for building your product?

What Made It's answer

  • Cloudflare Workers & Global Edge Runtime for ultra-low latency, zero-retention data processing.
  • Next.js & React with client-side Web Workers and WebAssembly for private, on-device container parsing.
  • C2PA (Coalition for Content Provenance and Authenticity) cryptographic manifest decoders and X.509 certificate validators.
  • Multi-model deep learning ensembles for diffusion artifact detection and video temporal frame analysis.

Who are some of the biggest customers of your product?

What Made It's answer

  • Independent investigative journalists and fact-checking newsrooms
  • Legal and compliance teams verifying digital contracts and invoices
  • Professional photographers and media agencies adopting C2PA hardware credentials
  • OSINT researchers and forensic media analysts
  • Privacy-first creative agencies and freelance professionals

User comments

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