Alternatives
Products that do what Basecut does
Kill your seed script.
- 1PN
We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
2022 · postgresml.org
- 2AT
A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022
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- 7NO
Hey HN, we're Evis and Nick and we're excited to be launching Neosync (https://www.github.com/nucleuscloud/neosync). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big…
2024 · github.com
- 8PS
Hey HN! Lev here, author of PgDog (https://github.com/pgdogdev/pgdog). I’m scaling our favorite database, PostgreSQL. PgDog is a new open source proxy, written in Rust, with first-class support for sharding — without changes to your app or needing database extensions. Here’s a walkthrough of how it works: https://www.youtube.com/watch?v=y6sebczWZ-c Running Postgres at scale is hard. Eventually, one primary isn’t enough at which point you need to split it up. Since there is currently no good tooling out there to do this, teams end up breaking their apps…
2025 · github.com
- 9PS
Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…
Feb 2026 · github.com
- 10PR
2024 · github.com
- 11DT
I built DDL to Data after repeatedly pushing back on "just use production data and mask it" requests. Teams needed populated databases for testing, but pulling prod meant security reviews, PII scrubbing, and DevOps tickets. Hand-written seed scripts were the alternative slow, fragile, and out of sync the moment schemas changed. Paste your CREATE TABLE statements, get realistic test data back. It parses your schema, preserves foreign key relationships, and generates data that looks real, emails look like emails, timestamps are reasonable, uniqueness constraints are honored. No setup, no…
Jan 2026
- 12SP
This is a MVP for Serverless Postgres. 1/ It uses Fly.io[0], which can automatically pause your database after all connections are released (and start it again when new connections join). 2/ It uses Oriole[1], a Postgres extension with experimental support for S3 / Decoupled Storage[2]. 3/ It uses Tigris[3], Globally Distributed S3-Compatible Object Storage. Oriole will automatically backup the data to Tigris using background workers. I wouldn't recommend using this in production, but I think it's in a good spot to provoke some discussion and ideas. You can get it running…
2024 · github.com
- 13SD
SnapQL is an open-source desktop app (built with Electron) that lets you query your Postgres database using natural language. It’s schema-aware, so you don’t need to copy-paste your schema or write complex SQL by hand. Everything runs locally — your OpenAI API key, your data, and your queries — so it's secure and private. Just connect your DB, describe what you want, and SnapQL writes and runs the SQL for you.
2025 · github.com
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Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…
2024
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Hello HN! My name is Paras and I am building this project called Slashbase. It's an open-source collaborative IDE for databases in browser. Connect to your database, browse data, run a bunch of queries or share queries within your team, right from your browser. Works with two types of databases: PostgreSQL and MongoDB. It's written in Golang and Nextjs React Framework and runs as a single binary. Features: - Cloud based: Setup on your server. Works in browser. - Easy to use: with minimal interface it is simple to use. - Collaborative: Works with your teams. Easy sharing queries within team.…
2022 · github.com
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Mar 2026 · oseifert.ch
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Hi HN, we're excited to share our open source tool with the community! We previously posted here with the tagline “real-time events for Postgres” [0]. But after feedback from early users and the community, we’ve shifted our focus to working on tooling for manual database changes. We've consistently heard teams describe challenges with the way manual data updates are handled. Seemingly every engineer we spoke with had examples of errant queries that ended up causing significant harm in production environments (data loss/service interruptions). We’ve seen a few different approaches to how…
2023 · github.com
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https://github.com/denvaar/pgdiff I cobbled together various programs into a bash script to compare how data changes between two points in time. My idea was basically to have a `git diff` but for data inside postgres. I wanted a util like this to help get to know a new code base: Interact with an app and watch how the data changes. You run the script with a given key (anything) before interacting with an app, then run it again with the same key to see the data diff. I'm not much of a bash scripter, as you can probably see from the script, but it was a fun and useful tool…
2021
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Hello HN! Keeping Elasticsearch or Algolia in sync with Postgres is a pain when your data spans multiple tables. Traditional CDC tools like Debezium capture table-level events but don’t help when you need to index a full entity composed of related records. That's why I built PG-Capture. PG-Capture lets you define a schema as complex as you need, aggregate table-level events, and reconstruct structured objects spanning multiple tables. It then publishes them as meaningful domain-level events to any queue (RabbitMQ, SQS, etc.). PG-Capture does NOT replace Debezium, it works on top of it (or…
2025 · pg-capture.onrender.com
- 24CS
We now write most of our code with agents. For a while, PRs piled up, causing review fatigue, and we had this sinking feeling that standards were slipping. Consistency is tough at this volume. I’m sharing the solution we found, which has become our main product. Continue (https://docs.continue.dev) runs AI checks on every PR. Each check is a source-controlled markdown file in `.continue/checks/` that shows up as a GitHub status check. They run as full agents, not just reading the diff, but able to read/write files, run bash commands, and use a browser. If it finds…
Feb 2026 · docs.continue.dev
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