Filament – Fast data movement engine in Go

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Hi, I'm Leon one of the cofounders of Galaxy. We just open sourced Filament, our data movement engine. Its written in Go and Apache 2.0 licensed. We currently support a handful of API connectors, Postgres, MySQL, ClickHouse, Iceberg, and S3. We benchmarked Filament against a bunch of other open source data movement tools and results + the harness is available at https://github.com/galaxy-io/benchmarks . This is just our first minor release of Filament and there is a ton to build. We are excited to shape our roadmap around your feedback. If you are willing to give it a try any feedback would be greatly appreciated! Docs at https://filament.getgalaxy.io and a longer blog post on why we built it at https://www.getgalaxy.io/blog/introducing-filament

Visit product View on Hacker NewsSep 8, 2026

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Hacker NewsStrong engagement from HN community · Strong signals: excited, open source, clickhouse · Missing: https docs, just released, exist

83%83% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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