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Hay.chat VS cppq

Compare Hay.chat VS cppq and see what are their differences

Hay.chat

Hay processes refunds, updates orders, and resets passwords, not just answers questions about them. Open-source customer support automation you can train in plain language.

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0 reviews
Pricing
Open source Paid Free trial €50 / Monthly
Alternatives Is it good?
cppq

Simple, reliable & efficient distributed task queue for C++

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0 reviews
Alternatives Is it good?
Jaah
Jaah is Just Another Agentic Harness, for production-grade AI-generated code. Coding agents write the code. Jaah makes it production-grade. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

Website, pricing, platforms and company facts side by side.

Hay.chat
cppq
Website hay.chat github.com
Pricing
Open source Paid Free trial €50 / Monthly Official pricing
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Platforms
Shopify Zendesk Hubspot WhatsApp Web Chat Stripe WooCommerce Email +5
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Company Startup from Portugal · 1 - 9 employees · 2025 —
Listed in
Customer Support AI Chatbots Help Desk Solutions Customer Service Live Chat AI Chatbot Platforms & Tools AI Tools Chatbots +6
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About Hay.chat and cppq

In their own words, as submitted to SaaSHub.

Hay.chat
cppq

Hay handles your support tickets end to end. Most AI tools just chat about the problem or point your customer to an FAQ article. Hay resolves the query itself. It plugs into Shopify, WooCommerce, Zendesk, Stripe, HubSpot and the rest, then takes care of the stuff that buries support teams:...

Read more about Hay.chat

No description of cppq yet.

Features and specs

What each product offers, as listed by its team.

Hay.chat 14 features
cppq 5 features
  • Pricing model
    Based on resolved customer queries. Resolutions are bundled into a flat monthly fee. This way, your bill stays predictable when ticket volume spikes. No per-seat charges. No surprise AI surcharges. Tiers from €50 to €2,725.
  • Free trial
    Generous 30 day trial, with no credit card required. Connect your store, run real tickets, see whether it works on your data before you pay anything.
  • Deployment
    Use the managed EU version, or self-host on your own infrastructure. Same code either way.
  • Licence
    Source-available under the Hay Community Licence v1.0 (similar to Elastic License 2.0 and n8n's Sustainable Use License).
  • AI architecture
    Built on the Model Context Protocol. Hay takes real actions in your connected systems. It processes the refund and looks up the order instead of explaining how the customer should do it themselves.
  • Hallucination control
    Every reply is verified against your documentation before it's sent. If confidence drops, the conversation routes to a human with full context.
  • LLM support
    Model-agnostic. Run on OpenAI, Anthropic, Mistral, Llama, DeepSeek, or whichever model fits your cost and quality requirements. No lock-in.
  • Channels
    WhatsApp, Instagram, web chat, email. The places your customers already message you.
  • Setup
    Hay learns from your existing support docs. You guide it with plain-language playbooks. No engineers required.
  • Human handoff
    Built-in escalation with full conversation context. Your team picks up where Hay left off, customer doesn't have to repeat themselves.
  • White-label
    Your branding, your tone, your domain. Customers see your business, not Hay.
  • Data residency
    EU hosted. Matters when your customers, or your DPO, are based there.
  • Compliance
    GDPR-ready. EU hosting plus source-available code means your security team can audit how data flows.
  • API access
    REST API for everything Hay does. Build on top, automate around, integrate with whatever isn't already a native plugin.
  • Lightweight C++ implementation
    cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
  • Redis-backed reliability
    Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
  • Inspired by proven design (asynq)
    The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
  • Native integration for C++ projects
    For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
  • Open source and inspectable
    Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

  • Limited maturity and battle-testing
    Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
  • Smaller community and ecosystem
    Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
  • Documentation gaps
    As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
  • C++ build and dependency complexity
    Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
  • Fewer built-in features and tooling
    cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

Analysis

An editorial look at what each product does well and who it suits.

Hay.chat
cppq

Overall verdict

  • Hay.chat appears to be a customer messaging/live chat and support tool designed to help businesses communicate with website visitors and customers in real time, but detailed independent reviews and widespread user feedback are limited, so it's best evaluated through a hands-on trial against your specific needs.

Why this product is good

  • Offers real-time chat functionality for engaging website visitors and customers
  • Likely includes features aimed at streamlining customer support and communication
  • May provide a more affordable or simpler alternative to larger, more complex chat platforms
  • Could integrate with common business tools depending on its feature set

Recommended for

  • Small to medium-sized businesses looking for a straightforward live chat solution
  • Startups wanting an affordable customer communication tool
  • Teams that need basic chat support without extensive enterprise features
  • Businesses willing to test the platform directly due to limited third-party reviews

Overall verdict

  • cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.

Why this product is good

  • Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
  • Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
  • Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
  • Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
  • Good fit for projects already using Redis, minimizing the need for additional infrastructure
  • Straightforward API for enqueueing and processing background jobs in C++ applications

Recommended for

  • C++ developers needing a background job/task queue without adopting a heavyweight message broker
  • Projects already using Redis as part of their infrastructure
  • Small to medium-sized applications requiring asynchronous task processing
  • Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
  • Developers familiar with asynq (Go) looking for a similar pattern in C++
  • Prototyping or hobby projects where a minimal task queue solution is sufficient

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Hay.chat
cppq
100% 100%
Customer Support
0% 0%
100% 100%
Live Chat
0% 0%
100% 100%
Customer Service
0% 0%
100% 100%
Chatbots
0% 0%

Questions & Answers

As answered by people managing Hay.chat and cppq.

Who are some of the biggest customers of your product?

Hay.chat's answer

We're early. We're working with a small group of pilot partners across European e-commerce and SaaS, but we don't publish their names without permission. If you're evaluating Hay, this is the moment to talk to us. You'll get the founders on the call instead of an SDR. And you'll shape what we build next.

What makes your product unique?

Hay.chat's answer

Most AI customer service tools answer questions. They sit on top of your knowledge base, summarise docs, deflect tickets. The customer still waits for a human to do the actual work: process the refund, look up the order, update the account.

Hay does the work. It's built on the Model Context Protocol, an open standard that lets AI tools talk to other systems. So Hay plugs directly into Shopify, WooCommerce, Stripe, Zendesk, HubSpot, and the rest of your stack. When someone asks for a refund, Hay processes it. When they ask where their order is, Hay checks the carrier and replies. No ticket gets queued for a human to close later.

It's also source-available, EU-hosted, and you can read the code. Self-host if you want. Audit how decisions get made. Nothing's hidden.

Why should a person choose your product over its competitors?

Hay.chat's answer

A few honest reasons.

Pricing. The industry's converging on roughly $1 per resolution (Intercom Fin, Gorgias, HubSpot Breeze are all in that range), even though the underlying inference costs a few cents. Hay bundles resolutions into flat monthly tiers from €50 to €2,000, with overages between €0.01 and €0.20. Your bill stays predictable as your AI gets better.

EU hosting. We run on infrastructure in the EU. With AI Act enforcement landing in August 2026 and most US-headquartered competitors still routing data through the US, this matters more than it used to.

Transparent code. You can read how Hay makes decisions. You can self-host if you'd rather keep everything in-house. Most alternatives are closed boxes.

Setup. Plain-language playbooks instead of node-based flow builders. You teach Hay the way you'd onboard a new team member.

What we won't claim: that we're cheaper than every competitor, or that nobody else takes actions. Both have changed. But the full combination still hasn't shown up elsewhere: pricing predictability, EU hosting, source-available code, and action-taking AI.

How would you describe the primary audience of your product?

Hay.chat's answer

Mostly European e-commerce companies between 15 and 50 people, doing €2M to €8M in revenue, handling 1,500 to 3,000 support tickets a month. They're usually on Shopify or WooCommerce, often with Zendesk or a shared inbox.

Two or three people on the support team, with a founder or Head of Support making the buying call.

They've usually tried one of two things. A basic chatbot that deflected without resolving, which made customers angrier. Or Intercom or Gorgias at per-resolution pricing, which gave them sticker shock as volume grew.

B2B SaaS teams of similar size also use Hay for billing questions, password resets, and account changes. Our first paying customer is a Norwegian B2B SaaS, so that segment is real even if e-commerce is the bigger market.

What's the story behind your product?

Hay.chat's answer

We kept running into the same pattern in customer support. About 80% of every team's tickets are repetitive (where's my order, how do I get a refund, can you reset my password) and 20% are the complex cases that drive loyalty and revenue. The Pareto principle, basically.

The existing tools all attacked the wrong end. They either hid the 80% behind a chatbot that couldn't resolve anything, or they charged enterprise prices that only made sense if you already had enterprise volume. The AI side was mostly black boxes too. Opaque models, mystery pricing, your data going somewhere you couldn't see.

We thought there was a clearer path. Build it on MCP so it could take real actions across the systems support teams already use. Keep the code transparent. Host in the EU. Price it so the bill doesn't punish you for growing.

That's Hay. Still early, still being shaped by the teams using it.

Which are the primary technologies used for building your product?

Hay.chat's answer

The stack: Frontend: React with TypeScript, TailwindCSS, Zustand for state. Backend: Node.js with Express, PostgreSQL, Redis for caching and real-time, Bull for job queues. Infrastructure: Docker, Kubernetes, GitHub Actions. EU-hosted on DigitalOcean. Integrations: Built around the Model Context Protocol. 177 actions across nine integrations including Shopify, WooCommerce, Zendesk, Stripe, HubSpot, plus channel connectors for WhatsApp, Instagram, web chat, and email. Models: Hay is model-agnostic. It runs on OpenAI, Anthropic, Mistral, Llama, DeepSeek, and others. No lock-in to one provider. Licence: Source-available under the Hay Community Licence v1.0, structurally similar to Elastic License 2.0 and n8n's Sustainable Use License.

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