Amazon S3 Reviews

GhostMyData Reviews

1. Rocky Kathuria

   · Founder & CEO at GhostMyData · 3 months ago
   Finally a privacy service that actually removes your data from 1,500+ brokers

   I built GhostMyData because I was tired of finding my personal information — home address, phone numbers, family members — plastered across dozens of data broker sites. After trying other services, I realized most only cover a fraction of brokers and charge premium prices for basic scans. GhostMyData scans 1,500+ data broker sites, sends legally-backed CCPA deletion requests on your behalf, and tracks every removal to completion. The automated removal pipeline handles everything from opt-out form submissions to verification that your data was actually taken down. We also offer family plans so you can protect your entire household under one subscription, and our daily privacy digest keeps you informed without email overload. The whole platform is designed around transparency — you see exactly what was found, what's been removed, and what's still in progress.

   🏁 Competitors: Incogni, Delete Me, Privacy Bee, Optery, Kanary

   👍 Pros:    Scans 1,500+ data broker sites automatically|Sends legally-backed ccpa/state privacy law deletion requests|Automated opt-out form submissions for major brokers|Family plan protects up to 5 household members|Real-time removal tracking with verification|Free scan with 3 trial removals, no credit card required

   👎 Cons:    Some brokers require manual identity verification steps|Annual billing only (no monthly option yet)

Amazon S3 mentions (214)

• Document Generation for Developers: Security, Compliance, and Build-vs-Buy Decisions for the Template-Plus-Data Pipeline

  TLS at the API boundary encrypts the payload in transit, but your application is responsible for what happens to the document after the response arrives. If you're writing the rendered PDF to disk, a message queue, or cloud storage, that persistence layer needs its own encryption at rest. An unencrypted file sitting in an Amazon S3 bucket with overly permissive ACLs falls outside what the API provider's TLS covers. - Source: dev.to / about 2 months ago

• Dynamic Looping Comes to AWS SAM

  SAM CLI generates the SAMCodeUriServices mapping so that each collection value resolves to its own build artifact. At package time, those paths become Amazon S3 URIs. I don't need to manage any of this. - Source: dev.to / about 2 months ago

• AIP-C01 last-minute revision: exam traps, memory hooks, and quick notes

  Fine-tuning adapts an FM to a specific use case with proprietary training data. Titan, Cohere, and Meta models support fine-tuning via Amazon Bedrock. Text models need labelled prompt-completion pairs; image models need Amazon Simple Storage Service (Amazon S3) paths linked to descriptions. Secure training data with Amazon Virtual Private Cloud (Amazon VPC) + AWS PrivateLink. - Source: dev.to / 2 months ago

• Why AWS Certified GenAI Developer stands apart from other AWS certs

  You need to understand vector stores for semantic and hybrid search using Amazon OpenSearch Service and Amazon Simple Storage Service (Amazon S3). Prompt caching helps reduce costs by reusing previously processed prompts. Amazon Bedrock Prompt Management simplifies the creation, evaluation, versioning, and sharing of prompts to help you get the best responses from foundation models. Flow orchestration with Amazon... - Source: dev.to / 3 months ago

• Fine-Tuning 14B SLMs for 3GPP Root Cause Analysis on Amazon SageMaker

  All fine-tuning used Amazon SageMaker Training Jobs — no instance provisioning, no SSH, no manual teardown. You provide a training script and an S3 dataset path, specify the instance type, and SageMaker handles the rest. - Source: dev.to / 4 months ago

GhostMyData mentions (0)