Most AI support tools ask you to rip out your helpdesk first. Ify works on top of Freshdesk, Zendesk, Salesforce, or HubSpot and gets to work across email, chat, WhatsApp, Slack, and more. The part that usually stalls an AI support rollout is "our docs aren't good enough." Ify solves that by building its own knowledge base: it scrapes your site and docs, generates SOPs from release notes and past ticket resolutions. Built for support teams who want something live now.
We built Ify because every AI support tool we looked at asked for the same trade: rip out your helpdesk, spend weeks migrating, then maybe get an AI agent that's actually useful.
Ify skips that. It works directly on top of Freshdesk, Zendesk, Salesforce, or HubSpot — so you keep what you have and just add the part that resolves tickets. If you don't have a helpdesk yet, it can run standalone too.
The thing we spent the most time on isn't the chat widget or the automations — it's the knowledge base. Almost every team we talked to had messy or incomplete docs, and that's usually what kills an AI support rollout before it starts. So Ify builds its own: it scrapes your site and docs, turns release notes and past resolved tickets into SOPs, and keeps learning from what your team resolves manually.
We're in private beta right now, working closely with early SMB and mid-market support teams to get this right before we open it up further. If you're curious how it'd fit with your current stack, or you've hit the "our docs aren't good enough for AI" wall yourself, I'd love to hear about it in the comments.
Would really appreciate any feedback, questions, or just tell us what you'd want an AI support agent to actually do.
No per-user pricing makes sense here. If AI is resolving the ticket, I’d rather pay around resolved work — with escalations + AI cost included. Seats are a weird proxy for value now.
Congrats on the launch, @karthik_veluswamy1 and @ify team Not having to switch helpdesks is a breath of fresh air, and letting the AI learn directly from past tickets fixes the biggest headache with messy docs.
what happens if two old tickets have different solutions for the same issue—how does it know which one is right?
@karthik_veluswamy1@irsh1985@praveen_raj8 Congratulations, this is amazing that you are solving a problem that most customer support facing teams finds it difficult to solve.
Curious -
1) Does it replace the need to have a knowledge base like notion, confluence or would this be on top of these knowledge base.
2) What do you see as a single source of truth from a knowledge base perspective.
Congrats Karthik, Irshad & team🙌
Support agents which work across knowlege, action & channel layer is amazing, especially without the need to replace existing systems!
Congrats Karthik, Irshad and team! The “don’t rip out your helpdesk” approach is such a practical way to bring AI into support teams. I especially like how Ify turns existing docs, release notes, and resolved tickets into useful SOPs. That’s often the real blocker, not the chat widget itself. Wishing you a great launch!
Curious. How does this differ from something like a Fin or so?
Congrats Karthik and team Konnectify- I see where "Ify" comes from! Love the approach of working on top of the existing helpdesk instead of forcing teams to migrate. The bigger insight for me is the knowledge layer, especially turning past resolutions, release notes and messy documentation into something the AI can actually use. That feels like where a lot of support AI implementations succeed or fail. Will this also migrate data from past resolutions?
Wishing you a great launch. Excited to see where you take Ify! 🚀
What’s one feature you built because customers kept asking for it—and what surprised you about how they use it?
I've sold many similar products over the last decade and this is impressive. Worth checking out for sure.
Adding a quick note on the technical side of why we built ify this way:
When we set out to build this, one thing became clear very quickly:
AI is only as good as the context behind it — and support documentation is almost never perfect.
A lot of a team’s real tribal knowledge doesn’t live in pristine docs. It’s buried inside resolved tickets, Slack threads, release notes, and agent workarounds.
Instead of forcing support teams to clean up or rewrite their documentation before they can use AI, we built ify to continuously map, absorb, and turn that scattered historical context into usable SOPs.
The goal is for the AI to understand not just what the documentation says, but how the support team actually solves problems.
I’d love to hear from the technical and support folks here:
What’s the trickiest support query or workflow you’d still be hesitant to hand off to an AI agent today?
About ify on Product Hunt
“Resolution AI that works on top of your existing helpdesk”
ify launched on Product Hunt on August 26th, 2026 and earned 113 upvotes and 29 comments, placing #10 on the daily leaderboard. Most AI support tools ask you to rip out your helpdesk first. Ify works on top of Freshdesk, Zendesk, Salesforce, or HubSpot and gets to work across email, chat, WhatsApp, Slack, and more. The part that usually stalls an AI support rollout is "our docs aren't good enough." Ify solves that by building its own knowledge base: it scrapes your site and docs, generates SOPs from release notes and past ticket resolutions. Built for support teams who want something live now.
ify was featured in Email (36.8k followers), Customer Communication (12.8k followers) and Artificial Intelligence (477k followers) on Product Hunt. Together, these topics include over 129k products, making this a competitive space to launch in.
Who hunted ify?
ify was hunted by Kevin William David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how ify stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kevin William David
Hey Product Hunt 👋,
We built Ify because every AI support tool we looked at asked for the same trade: rip out your helpdesk, spend weeks migrating, then maybe get an AI agent that's actually useful.
Ify skips that. It works directly on top of Freshdesk, Zendesk, Salesforce, or HubSpot — so you keep what you have and just add the part that resolves tickets. If you don't have a helpdesk yet, it can run standalone too.
The thing we spent the most time on isn't the chat widget or the automations — it's the knowledge base. Almost every team we talked to had messy or incomplete docs, and that's usually what kills an AI support rollout before it starts. So Ify builds its own: it scrapes your site and docs, turns release notes and past resolved tickets into SOPs, and keeps learning from what your team resolves manually.
We're in private beta right now, working closely with early SMB and mid-market support teams to get this right before we open it up further. If you're curious how it'd fit with your current stack, or you've hit the "our docs aren't good enough for AI" wall yourself, I'd love to hear about it in the comments.
Would really appreciate any feedback, questions, or just tell us what you'd want an AI support agent to actually do.
Regards,
Karthik - Founder @ ify