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SecretDrop is a zero-knowledge secret sharing tool for developers. Files are encrypted in the browser using AES-256-GCM before they ever reach the server.
The server stores only encrypted blobs and can never read your content, filenames, or passwords.
Upload files, set a password, share a link.
No accounts required for recipients.
Free tier available, no credit card needed.
PostgresML
SecretDrop.devSecretDrop.dev's answer:
True zero-knowledge encryption that happens entirely in the browser using only the Web Crypto API โ no third-party crypto libraries, no server-side access to your data. It's as simple as upload, set password, share link โ but with enterprise-grade cryptography underneath.
SecretDrop.dev's answer:
SecretDrop is an early-stage product โ there's no public customer list to share. It's built for and used by indie developers, freelancers, and small agencies.
SecretDrop.dev's answer:
The real competitor is "paste it in Slack." Vault is heavy, enterprise tools are expensive and require setup. SecretDrop gives you zero-setup, encrypted-by-default sharing with a free tier โ no accounts for recipients, no credit card, no infrastructure to manage.
SecretDrop.dev's answer:
Developers, freelancers, and small dev teams who need to share API keys, .env files, and credentials quickly and securely without spinning up a Vault instance or paying for enterprise tooling.
SecretDrop.dev's answer:
Built by a dev agency founder in Germany who got tired of watching teammates share database credentials and API keys over Slack every week. Not because they didn't care about security โ because there was no frictionless alternative. SecretDrop was built to fill that gap.
SecretDrop.dev's answer:
React 19, Vite 6, Tailwind CSS 4, and shadcn/ui on the frontend. NestJS 11 with TypeScript on the backend. Astro 5 for the landing page. Supabase for auth, database, and storage. Web Crypto API (AES-256-GCM, PBKDF2) for all encryption. Polar for billing.
Based on our record, PostgresML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The web service supports generating embeddings from OpenAI and Ollama AI models. It also provides a fallback for users without access to AI models running on a remote server through PostgresML. - Source: dev.to / over 1 year ago
That's outside of the database, though. This is more like what I had in mind -- I just found it: https://postgresml.org/. - Source: Hacker News / about 2 years ago
Some excellent tools were created to represent these tasks "naturally" in SQL and even let most of the computation happen inside the database. PostgresML is a great example. It's built above PostgreSQL and provides a set of functions that allow you to train and use machine learning models with SQL. Here's how you can train a classification model for the classic handwritten digit recognition problem:. - Source: dev.to / over 2 years ago
PostgresML | You know Postgres. Now you know machine learning โ PostgresML. - Source: dev.to / over 2 years ago
You can swap in almost any open-source model on Huggingface. HuggingFaceH4/zephyr-7b-beta, Gryphe/MythoMax-L2-13b, teknium/OpenHermes-2.5-Mistral-7B and more.If you haven't seen us here before, we're PostgresML, an open-source MLOps platform built on Postgres. We bring ML to the database rather than the other way around. Source: over 2 years ago
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