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Launch HN: Inkeep (YC W23) – Copilot for Support (think Cursor for help desks)

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Re: Launch HN: Inkeep (YC W23) – Copilot for Support (think Cursor for help desks)

#51
post #44

We've been a customer for the past year ( https://speakeasy.com/docs ). I was honestly highly skeptical about putting a RAG powered search in front of our documentation site instead of what we were using (FlexSearch / Nextra). Have been delighted to be proved wrong. The learning I've had is that whilst the majority of queries go through standard search patterns (i.e. users search for something that's covered by docum…

best way to frame the customer-facing AI: guided tutorials on-demand that can translate between user terminology and product lingo.

Strong agree. I increasingly feel like this is one of the major benefits of AI.

Re: Launch HN: Inkeep (YC W23) – Copilot for Support (think Cursor for help desks)

#52

This is the first time I've seen someone use two instances of "x for y" where x is another product and y is the actual thing they do

The first one (Copilot) is quickly becoming a generic term, so one could argue that there's only one instance (Cursor) of that pattern.

Re: Launch HN: Inkeep (YC W23) – Copilot for Support (think Cursor for help desks)

#54

How is this different/unique than the thousands of other competitors that pretty much promise the same thing? sorry if it sounds dismissive of your product, but that's my first impression, and probably a lot of other ppl's too, so would be good to get a good answer...

I'm not associated with them but was browsing their docs and spotted this:

https://docs.inkeep.com/faqs/comparisons

Might help.

Re: Launch HN: Inkeep (YC W23) – Copilot for Support (think Cursor for help desks)

#58
We (at PostHog) have a very unique implementation of Inkeep in our community forums[1], and it's been a lot of fun working on a custom solution with the Inkeep team.

Our ultimate goal was to make our experience explicitly not feel like you're talking to AI.

So rather than trying to intercept questions from being posted to our forums, we trigger Inkeep _after_ a question is posted. If we're able to find an answer with a high degree of confidence, our "AI user" (Max) will show an answer within about 30 seconds.

The OP can then provide feedback that we're using to train further answers.

If the answer is marked as helpful, we display the answer publicly (and disclaim it as an AI response)[2]. If the answer is marked as _unhelpful_, the answer only shows to the OP and we review the feedback to figure out how we can improve (ie: do our docs need to be improved so Inkeep has better source material?).

It's been fun getting creative with the Inkeep team on a solution that worked for our specific use case. I'm planning on rolling out Inkeep more broadly in other areas of our site as we verify that our highly confident answers are genuinely useful to our users.

IMO Inkeep has been the first AI solution that hasn't sucked – and that's high praise coming from me!

[1] posthog.com/community [2] https://posthog.com/questions/autocapture-event-bubbling

Re: Launch HN: Inkeep (YC W23) – Copilot for Support (think Cursor for help desks)

#59
post #37

Earlier quoted context omitted.

Feel free to correct me on that, but here's my understanding. The comprehensive support products cover four main sub-products: 1. FAQ/Knowledge bases with search functionality. 2. Conversational mediums and agent notifications (e.g., live chat widget, messenger support). 3. Ticket management systems and agent management, which is the core of Zendesk/Intercom. This is the most difficult to operationalize as it require…

are you implying that a custom implementation service for enterprises is a good business?

that's the reality of the post-LLM Customer Support business.
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