66analytics offers features such as real-time analytics, conversion tracking, heat maps, session recordings, and data ownership. This data visualization tool gives you a complete picture of your product—everything that marketing, UX, or product management teams ask for. - Source: dev.to / over 1 year ago

Looks like this is a fork of https://66analytics.com/? One of Altumcodes products? - Source: Hacker News / over 1 year ago

Last year I stumbled upon https://66analytics.com/ and liked it quite a lot. It is very light but covers quite a lot of stuff that I wanted to have. It’s a one time payment but only around $60 I think and does not have any limitations after that. I liked the one time payment idea and that I could just run it on a shared Hoster that I had already around. Source: over 4 years ago

This is just another managed version of https://66analytics.com/ I like that you state GDPR and other compliance but I am 100% sure it‘s not (just because 66analytics is claiming that, doesn’t mean it’s right. Have you checked anything back with a lawyer? - Source: Hacker News / almost 5 years ago

For anyone interested, I think this is just a hosted version of https://66analytics.com/. Source: about 5 years ago

Durable execution — the pattern implemented by Temporal, Inngest, Rivet Actors, and now Cloudflare Workflows — treats waiting as a continuation rather than a loop:. - Source: dev.to / 4 days ago

Two specific moves stand out in Duncan's account. The first is durable execution, via Temporal — Mercury replaced fragile cron-and-database state machines with workflow code whose failure semantics are platform-handled (replay, retry, timeout, cancellation). Mercury open-sourced its hs-temporal-sdk, which wraps Temporal's official Rust Core SDK via FFI and provides a Haskell-native API. The dovetail with Haskell's... - Source: dev.to / about 1 month ago

We picked Temporal as the first reference engine on purpose. Temporal has the strictest execution model we know of – a V8 sandbox, determinism constraints, replay-driven recovery. If our port contract holds up against that, easier engines – an in-memory test double, a BullMQ queue, or JSON-first platforms like Inngest or Restate – plug in through the same two interfaces. We're shipping Temporal first; the rest is... - Source: dev.to / about 2 months ago

The trick is to find whatever metadata channel the queue already gives you and use that and thankfully, almost every mature queue has one (probably because of this scenario). SQS has message attributes, Temporal has context propagators built into the SDK, and Hatchet (which we use to run our workflows) has a metadata field called additionalMetadata. - Source: dev.to / 3 months ago

A typical production stack for teams using Claude or Gemini as the reasoning layer includes an LLM provider API, an orchestration layer (n8n, Temporal, or a custom Python service), application infrastructure (a server running the orchestration code), and a data layer (a database for storing results). Each boundary introduces a failure point. When the LLM provider changes its rate limits, as OpenAI did repeatedly... - Source: dev.to / 4 months ago