Products

Neosync

Open source data anonymization platform for Developers

neosync.dev Source★ 430MITData & Analytics / Data Integration & Warehousing

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None yet
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Public revenue
Undisclosed
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Entry price
Free
No monthly subscription pricing
Creators
Nick Zelei
No social account linked
Launched
2y ago
2023-12-08 · Est.

Traffic

Monthly visits

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Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Product HuntLaunch

    Open source data anonymization platform for Developers

    Jan 28, 2025 · 22mo agoLaunch page

  • Launched on Show HN (13 pts · 5 comments)Launch

    Open-Source Data Anonymization for Developers — Hey HN, we're Evis and Nick from Neosync ( ). Since we last introduced Neosync on HN 4 months ago, we’ve made a lot of progress and we’re…

    Sep 17, 2024 · 2y agoLaunch page

  • Launched on Show HN (246 pts · 44 comments)Launch

    Neosync – Open-Source Data Anonymization for Postgres and MySQL — Hey HN, we're Evis and Nick and we're excited to be launching Neosync ( ). Neosync is an open source platform that helps developers anonym…

    May 22, 2024 · 2y agoLaunch page

  • Launched on Show HN (4 pts · 1 comments)Launch

    Neosync – Open Source Data Replication and Anonymization — Hey HN, we're Evis and Nick, we're excited to be launching Neosync on HN! Neosync is an open source data replication and anonymization pro…

    Dec 8, 2023 · 2y agoLaunch page

Third-party reviews & case dossiers

Acquisition breakdowns, engineer reviews & open-source metrics
Show HN
2023-12-08Source
Post excerpt:
Hey HN, we're Evis and Nick, we're excited to be launching Neosync on HN! Neosync is an open source data replication and anonymization project that helps developers create safe, anonymized test data and sync it across all environments for high-quality local, stage and CI testing. This is how it works: 1. You select a job type. Today we support data sync jobs
Show HN
2024-05-22Source
Post excerpt:
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 ver
Console.dev
2024-06-20Source
What engineers like:
Anonymizes data based on analyzing the source. Generates realistic synthetic data based on your schema. Configurable mapping and transformation to control how data is represented in the anonymized / synthesized form. Can provide representative subsets of real data for use in test rather than needing a full copy of the huge prod database. Open source so can be run independently.
Trade-offs & limitations:
Needs more database support - currently Postgres, MySQL, MongoDB. Large cloud warehouses like BigQuery or ClickHouse are missing.
Best suited for:
Developers who need to anonymize and synthesize data for testing purposes
Show HN
2024-09-17Source
Post excerpt:
Hey HN, we're Evis and Nick from Neosync ( https://www.github.com/nucleuscloud/neosync ). Since we last introduced Neosync on HN 4 months ago, we’ve made a lot of progress and we’re excited to be launching several new features. As a reminder, Neosync is an open source platform that helps developers anonymize production data, generate synthetic data, subset i

Open Source & Self-Hosting

GitHub · MCP / Skill
Last commit 2026-03-28
GitHub Stars
★ 430
Forks
65
License
MIT
Primary language
JavaScript

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Search

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Traffic data: Vaneform

Pricing

Public pricing: Open SourceRaw source text; structured plans are extracted after website capture.

Pages & changes

Tracked since 2025-01-28

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    Changes

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    Questions & evidence

    What is Neosync and what platforms does it support?
    Neosync is catalogued under Data Integration & Warehousing: Open source data anonymization platform for Developers. Supported platforms: Web.
    Is Neosync open source?
    Neosync has a public repository (https://github.com/nucleuscloud/neosync) under the MIT license, recording 430 GitHub stars.Source

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