Does this affect extensions that know every website you visit even if it doesnt need to know, and has nothing to do with the extension’s functionality? (ie the ones that Similarweb buys)

For those unaware, what is uBO and how would it affect most extensions?

uBO (uBlock Origin) is a popular open source ad blocker. There is a change coming to the way Google Chrome and some other browsers host extensions called manifest v3, which for (stated) security and privacy purposes limits a lot of the functionality that makes ad blockers work the way they do. There are workarounds but they are suboptimal. This has been an ongoing fight for years and there are plenty of accusations that Google is doing this because they want to cripple ad blockers since they make so much money from advertising. Firefox has explicitly stated they will not force these changes on extension developers, and thus a lot of people have been threatening to move to Firefox whenever Google finally makes this change for real.

Maybe it’s a telling sign of the new wave of HN users, but I’m genuinely surprised to read that you don’t know what uBlock is..

I'm happy youngsters still use this ol' forum

It’s good that we are still getting Youngbloods who see the superiority of text in communications rather than one sided talking head videos.

"uBO" is an abbreviation of "uBlock Origin".

Shockwaves? yawns it doesnt affect me, my bank account, my family, my health or my happiness. Who cares?

The only way there'd be shockwaves is if it turned out to be Theo de Raadt.

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 from Inkeep but I've seen and used their product.)

I'm not sure how they do it but the answer quality and the UI is meaningfully better than all the other "chat with your docs"-type products I've tried.

In other words the promised outcome isn't very original but they've nailed the execution.

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 requires process architecture, SLA management, etc.

4. Orchestration and workflow management, which can be done inside #3, though some products are available as well.

Most new post-LLM startups target #2 but face platform risks as they rely on companies covering #1, #3, and #4 (e.g., Zendesk, Intercom, Gorgias).

I feel InKeep doing some combination of #2 but emphasising that you can support client whenever they are (ie Github, Discord, Slack) instead of asking them to submit tickets in the website widget.

Another issue for AI support startup is the verticalization/horizontal trap. Most LLMs require solid tuning per client, especially for enterprises like us. Startups often avoid this initially, opting for a more horizontal general path (e.g., AI support for Shopify merchants). This is where enterprise players are more beneficial. Thus companies like ServiceNow, Zoom, and Oracle offer products for support and implementation services.

Neat business imo.

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.

give the playground a shot and let me know what you think.

we answer 250k+ customer-facing questions/mo today for teams who really care about quality (Anthropic, Clerk, Pinecone, Postman) - we're brining that same care and high bar to our copilot for support teams.

the generative UI and conversational aspect is quite different than other copilots we've seen.

We use them at getstream.io, the RAG on SDKs is way ahead of other platforms in this space.

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

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

Might help.

That’s not a bug. Thats a feature. When I request desktop view in my iphone, it should just treat me as a desktop user. I know its buggy. I know its a horrible experience but I just wanna see what its like.

Now I wont even check it out because I didnt get that first impression on my phone. I will just forget it.

Just my 2c

Really sorry to hear your first impression wasn't great @altdataseller It has to do with limitations around performance/memory. In some instances, loading large documents in multiple iframes at the same time could cause mobile safari to crash. We have plans on how to address this, but we thought that seeing as frontend responsive testing is most likely going to be done on a Desktop-like device, we would prevent possibly crashing your mobile browser and show you a video walkthrough of how it works on desktop. Happy to chat more about this offline if you want: hello@viewport-tester.com

You are basically asking a $1m question. And expecting someone to answer it for free.

And you aren’t even sharing your product with us.

I am not helping a random person with such an open ended question without at least knowing what this tool is. So share the tool.

Otherwise good luck finding what you need.

The problem is I don't trust all those SaaS reviews in sites like G2, TrustRadius, Gartner etc. A lot of them are paid, and incentivized. Heck, I personally wrote a few nonsense ones just to get free gift cards. But I know some people give our free credits or discounts if you write a review for them.

Even a lot of "free" reviews on Reddit are secretly posted by the company, or someone who got paid by the company.

[UPDATE] Just tried the tool. 7 of the 8 bullet points your tool gave me was also given to me by Claude. I think both are using similar data sources, so I fail to see what differentiates this tool

Hi this is Roman, the co-founder Andrei mentioned in the post.

I agree with you, a good chunk of these reviews come about through incentivizing people and not all of them are organic in nature. However, many are genuine and even the ones that are from people receiving some sort of credits do contain some very interesting things. But I get your point, would be better if there was no carrot in front of their faces urging them to leave a positive review.

Also we do not take them at face value but instruct the model to distill out the essence of what is mentioned when analyzing the user feedback and formulate a response based on patterns embedded in the findings across multiple reviews.

Curious on what you got as a response from Claude - can you share the prompts with me?

I tend to ignore positive reviews in general as they can be bought. Negative reviews are more reliable in identifying any common pattern of problems with a particular product. I guess this tool will be helpful in that case.

Unfortunately those are the same people in charge of buying decisions in big companies…

If you're not paying, you're the product.

If you're paying, you're also the product.

You’re right, this is probably true quite often.

Take payroll companies. Their customers pay a lot for the service and in all but one case I’m aware of, the customers’ data is being sold.