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ApiTap

A billion rows on a 256 MB worker

A managed extraction engine that runs on a 256 MB worker — and every number is measured, not projected. → 1 billion rows in one endurance run (99.8% success) → 3.7x faster than Airbyte on identical 1.5M-row sync to BigQuery → 12x less memory · 6x less CPU → Configured by clicking, not by writing SQL or YAML Point ApiTap at an API or database — it lands in your warehouse, typed and deduped. 8 sources, 4 warehouses, free dedicated worker. No credit card.

Top comment

Hey Product Hunt 👋 A few years ago I got hit with a $1,000 Airbyte bill in a single month — just for moving 100GB of data. At $10/GB, every "let me sync this new source" suddenly became a business decision instead of an engineering one. That month is what made me start building ApiTap. What it is: A managed extraction engine that streams APIs and databases to your warehouse. Configured by clicking — no SQL, no YAML, no glue code. What's different: Built with Rust + Apache DataFusion. Every number on our landing is measured, not projected: → 1 BILLION rows in one endurance run (99.8% success) → 3.7x faster than Airbyte on identical 1.5M-row sync to BigQuery → 12x less memory · 6x less CPU → Runs on a single 256 MB dedicated worker What's live today: - Sources: GitHub, Stripe, Salesforce, Jira, Shopify, HubSpot, Postgres, MySQL - Warehouses: Postgres, BigQuery, ClickHouse, Snowflake - S3 coming soon Free dedicated worker to start — no credit card. I'd love your honest feedback on: 1. Is "configured by clicking" believable, or sounds too good? 2. Which source connector should I build next? 3. What's the one thing that would make you NOT trust this for production data? Solo founder, building in public. Will be here all day answering questions — happy to dive into the architecture, the benchmarks, or the journey. Thanks for checking it out 🙏

About ApiTap on Product Hunt

A billion rows on a 256 MB worker

ApiTap was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #65 on the daily leaderboard. A managed extraction engine that runs on a 256 MB worker — and every number is measured, not projected. → 1 billion rows in one endurance run (99.8% success) → 3.7x faster than Airbyte on identical 1.5M-row sync to BigQuery → 12x less memory · 6x less CPU → Configured by clicking, not by writing SQL or YAML Point ApiTap at an API or database — it lands in your warehouse, typed and deduped. 8 sources, 4 warehouses, free dedicated worker. No credit card.

On the analytics side, ApiTap competes within SaaS, Developer Tools and Database — topics that collectively have 560.6k followers on Product Hunt. The dashboard above tracks how ApiTap performed against the three products that launched closest to it on the same day.

Who hunted ApiTap?

ApiTap was hunted by ApiTap. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of ApiTap including community comment highlights and product details, visit the product overview.