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sakalsiz

2 karma · joined April 11, 2015

x.com/sakalsiz YC Badge: 0xa10fe4f705a8b0b6468dab96229d73acfed8287e
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sakalsiz··on Show HN: Public Apache Iceberg datasets via a REST catalog
You should combine this with a Trino Docker config.
sakalsiz··on Show HN: Open-Source TypeScript Framework for AI Agents – VoltAgent
Voltagent’s UI is stunning. Do you have plans to add nocode action types. Sometimes it is easier to start with nocode and switch to coding when necessary.
sakalsiz··on Show HN: VoltAgent – Open-Source Observability-First TS AI Agent Framework
The UI is sick.
sakalsiz··on Show HN: Peaka – Seamlessly access your SaaS tools and databases together
We depend on the underlying systems' performance. However, we have cache options. Once you enable cache for tables, it performs like a data warehouse.
sakalsiz··on Show HN: Peaka – Seamlessly access your SaaS tools and databases together
Thanks for the comments and nice words. Very happy to see testimonials in our launch at HN!
sakalsiz··on Show HN: Peaka – Seamlessly access your SaaS tools and databases together
If we can access the underlying system, we usually create connectors in a few days. We always take connector requests and are happy to learn your needs.
sakalsiz··on Show HN: Peaka – Seamlessly access your SaaS tools and databases together
Hi HN! We’re very excited to showcase Peaka to the HN community. After building several startups, I noticed how much time, effort, and $$$ teams were investing in building and maintaining their data stacks. This inspired us to challenge the status quo and make your data accessible - especially for small teams.

With Peaka, you can aggregate all your data sources (SaaS tools, databases, APIs) in just a couple minutes. Peaka provides a single SQL interface to access your data, and YES, you can also even join data across different data sources. We believe we’ve created the most intuitive way of accessing your data sources.

Here’s how it works: Simply create a new project and add your first data source by just entering credentials or signing in (i.e. Hubspot), and you’ll see your data in tabular view instantly. Then, you can connect other sources like PostgreSQL, MongoDB, Stripe, or Google Analytics (and many more!) and integrate your favorite BI tool like Metabase, Superset, or Looker Studio.

Teams use Peaka as an alternative to ETL + Data Warehouse. Some teams use it as an embedded data management backend for their product to access their users’ data. Peaka is totally accessible via API, too.

Excited to hear your thoughts and feedback.

Here’s a quick video I just created for you. https://www.loom.com/share/ceb729acf7a14f4bb500b83e12695d5a This is a doc how to connect Peaka to Metabase. https://docs.peaka.com/bi-tools/metabase#metabase-on-premise...

sakalsiz··on Amazon S3 Tables – managed Iceberg tables optimized for analytics
It's a big win for Iceberg over other open table formats. Most of the recent available data technologies are far superior to proprietary platforms. The only problem is convenience. People don't have enough knowledge and expertise to set them up correctly. This is a big step for easier set-up.