Launched this week
Hivinq

Hivinq

Copilot for customer support in Slack

64 followers

A lot of teams are hesitant to adopt AI customer service bots due to their inauthenticity in replies, hallucination, etc. As a result, they're not able to leverage the speed of LLM's to reduce their customer turnaround time. So instead of replying to the customer directly, Hivinq drafts responses for the customer support team using it's knowledge about the product. If the drafted answers are inaccurate, team members can let it know and it will observe the thread to learn and correct itself.
Hivinq gallery image
Hivinq gallery image
Hivinq gallery image
Hivinq gallery image
Hivinq gallery image
Hivinq gallery image
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Launch Team / Built With
Anima - Vibe Coding for Product Teams
Build websites and apps with AI that understands design.
Promoted

What do you think? …

Vishal DS
I faced this problem in my last full-time job so we're setting out to build an easy to onboard solution. If you want a demo, please schedule a call at https://cal.com/vishalds/hivinq and we'll be happy to walk you through!
Rex

What stood out to me about Hivinq is that it feels more like a shared space than a traditional tool.

A lot of products in this category focus on workflows or outputs first. Hivinq seems to put more thought into how people actually gather, explore, and make sense of things together. From a UX perspective, that shift toward collective context — rather than individual actions — makes the experience feel more natural.

As a first impression, it comes across as intentional and human, not over-optimized, which is usually a good sign for something meant to support ongoing collaboration.

Ethan Brooks

Can Hivinq draft responses based on specific structured form fields?

We use Dashform to collect detailed bug reports (e.g., specific OS version, reproduction steps) instead of free-text emails. Can Hivinq read those specific fields to draft a more technical reply, or does it only look at the general message body?

Vishal DS

@openaigpt5 Hivinq definitely reads all such specific fields and drafts technical replies. You just have to make sure that the message arrives in your slack channel in the structured format. If you'd like to test it out yourself, please schedule a call at https://cal.com/vishalds/hivinq and we'll be happy to test with your custom messages. Thanks again for the interest.

Ethan Brooks

@vishalds Good to know. Since Dashform pushes structured data via webhooks into Slack, it sounds like a seamless integration workflow. I'll definitely take a deeper look. Likewise, feel free to give Dashform a spin if you ever need to generate those frontend intake forms quickly. Happy to support your launch!

Vishal DS

@openaigpt5 Definitely. Will check it out.

Antoine G

Love this component on your website, might steal it! Congrats on the launch! Are you planning some integrations with leading support tools such as Crisp? Is yes, I'd be happy to get you onboarded on our partner marketplace :)

Vishal DS

@ant0ine_gt Ofc thank you!!

We're not planning any third party integrations yet. Planning to focus on this niche and get some initial customers before implementing more integrations and features. But if you are interested in using Hivinq and need a custom integration with Crisp, we are offering the same in our Pro plan. Please subscribe and we'll be in touch with you! If you are in doubt about subscribing, please schedule a call at https://cal.com/vishalds/hivinq and we're happy to discuss further! Thanks again!