Alternatives
Products that do what GoMask.ai does
Instant compliant test data for engineering teams
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Autonomous API testing platform for SQL server and Postgres
2022
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Trace, evaluate, and improve AI agents in production
30d ago · telerik.com
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- 20OA
Hi everyone! My name's Christian, and I'd like to share what we've built at OrgStack - a complete data validation platform for engineering teams: https://orgstack.io It's estimated that data quality issues cost US businesses over $600 billion per year[1]. Poor data quality is difficult to detect, and even more difficult to resolve. This eats up engineering resources and leads to outages in production infrastructure. Our goal is to make it easy for data and software engineering teams to manage data sources, receive critical alerts, and trace data-related incidents to their source.…
2020
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We built RapidFire AI, an open-source Python tool to speed up LLM fine-tuning and post-training with a powerful level of control not found in most tools: Stop, resume, clone-modify and warm-start configs on the fly—so you can branch experiments while they’re running instead of starting from scratch or running one after another. - Works within your OSS stack: PyTorch, HuggingFace TRL/PEFT), MLflow. - Hyperparallel search: launch as many configs as you want together, even on a single GPU - Dynamic real-time control: stop laggards, resume them later to revisit, branch promising configs in…
Sep 2025 · github.com
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Hi HN, for the past few months, we’ve been working on Ferrix AI (https://ferrix.ai/) As AI agents speed up engineering, deciding what to build has become the bottleneck. Developers got faster because agents fit into their workflow: tech design, code review, testing. They still make the key decisions, while AI handles mechanical work around them. At Ferrix, we are automating workflow for product managers to make product decisions efficiently. Agents handle the research synthesis, spec writing, and progress tracking, while PMs, designers, and engineers collaborate in a shared…
Jun 2026 · ferrix.ai
- 24PT
The idea is simple: AI agents need real-time data to be useful. But streaming real-time data into your data warehouse means you need the data warehouse to be up 24/7. This is expensive and wasteful. What if you could spin up an ephemeral data warehouse only when your agent needs it, and get real-time data at the same time? The solution: Polynya replicates your data into Iceberg, and gives your agent an ephemeral ClickHouse instance on demand. Polynya also provides persistent workspaces — collections of views that survive across sessions. So from your agent's point of view, it's a…
Apr 2026 · polynya.dev
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