Kelviq vs Rocky

Kelviq is the all-in-one revenue infrastructure platform built from the ground up for SaaS and AI companies. As a Merchant of Record, Kelviq takes full liability for global sales tax (VAT, GST), fraud, and regulatory compliance — letting AI startups sell in 100+ countries without ever registering for a foreign tax ID. It supports subscriptions, usage-based billing, feature entitlements, and one-time purchases through a single API. The AI-specific angle is real-time metering: Kelviq can track every token, API call, compute unit, or active user with zero reported latency. This is critical for AI products where costs spike unpredictably and customers need granular visibility into what they're being charged for. Pricing is 2.9% + 40¢ per transaction (up to $5K/month volume) or 3.5% + 40¢ thereafter, with no monthly fees — competitive with Stripe + a separate tax tool. Built by the team behind ParityDeals (a price localization tool with proven market fit), Kelviq launched to #1 on Product Hunt today with 430 upvotes. The founders' experience running a SaaS business internationally gives them genuine insight into the pain points they're solving.

Rocky is a Rust-based SQL transformation engine that brings software engineering discipline to data pipelines. Where tools like dbt gave data teams a version-controlled workflow, Rocky goes further: type-safe compile-time SQL, column-level lineage visualization, git-style branches for isolated testing, and a built-in AI intent layer that stores your purpose as metadata alongside the code. The branching feature is the standout — you can create a branch, run it against an isolated schema, inspect the results, then drop or promote. The column-level lineage shows the full downstream blast radius before you ship a change, tracing any single column back through every aggregation and join to its source. This is the kind of visibility that prevents the "who broke the revenue dashboard" post-mortems that happen in every data team. The AI intent layer is genuinely novel: it stores what a model is supposed to do as metadata, so AI can later explain models, auto-update them when upstream schemas change, and generate tests based on the original intent. Rocky integrates with Dagster via an official plugin and supports DuckDB for local development with no credentials required. With Hacker News coverage and a Rust-native architecture, it's positioned as the data pipeline tool for engineering-forward teams who are tired of YAML-based transformations.