Temporal Reviews

Gmail Reviews

1. marksachintha

   · CEO at ShiftX · about 3 years ago
   Best Email Service I have ever used.

   🏁 Competitors: Slack, Microsoft Outlook, Mattermost

   👍 Pros:    No need email hosting|Can create groups/channels like slack

   👎 Cons:    Doesn't work with outlook
2. Phil_is_ill01

   over 5 years ago
   Great user interface, and ease of use. Not sure about the privacy though.

   Very happy with its offers, it has a full suite of tools. Also the user experience is great. I am not sure about the privacy though. I am not confident enough to use it for sending and receiving confidential documents.

   🏁 Competitors: Mailfence, ProtonMail

   👍 Pros:    Huge storage space|Mobile app|Easy to use|Organisation

   👎 Cons:    Security|Privacy|Data protection and security
3. Marta Garcia

   over 6 years ago
   Not good mail in terms of privacy and security

   I used to use Gmail until 4 months ago. I was really happy with this mail, it is easy to handle and, being a Google member, there are many tools available to use. However, I started to learn about the security and privacy offered by Google, which is NONE. We are selling our information and personal data to a technological giant and, many times, we are not even aware of it.

   This is why I deleted all but one of my Google-related accounts. As most people are still not aware of this, when working or contacting certain people for the first time, it is essential to do it through Gmail.

   Today, there are a few alternatives to solve this lack of privacy. After doing an intensive search and reading comments, I decided to get an account with Mailfence and, honestly, I'm very happy with their service. It's an easy to use email, with end-to-end encryption, digital signatures, calendar, document saving capabilities, ... I really recommend it for all those who are starting in the world of privacy and security. The best thing is that you can create a free account and, if you are happy with the service or need more storage space, you can switch to a paid account.

   I hope my opinion helps everyone, especially those who are thinking about whether it is really worth giving all our information in exchange for a free email.

   🏁 Competitors: Mailfence

Temporal mentions (16)

• Your Agent Bills While It Waits. Here's the Fix.

  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 / 3 days ago

• Compiler as Custodian

  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 / 30 days ago

• How we turned our workflow editor into a real SDK

  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

• Three days debugging a missing trace

  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

• Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership

  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 / 3 months ago

Gmail mentions (0)