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IndeskAI
Support Faster, Serve Better, Keep Customers Coming Back
Support faster, serve better, and keep customers coming back with InDesk’s powerful solutions driven by AI and automation.
Support teams are overwhelmed.
While working on AI automation projects for a client, I kept seeing the same issues repeatedly:
* huge ticket backlogs
* slow response times
* agents wasting time reading long ticket threads
* repetitive replies written manually
* support managers struggling to maintain quality while scaling
Most AI tools I saw weren’t solving the real workflow problems either.
They usually offered:
* one AI model
* one generic prompt
* limited customization
* black-box behavior
* expensive setups that smaller teams couldn’t properly control
So I started building Indesk AI to make support AI more flexible, practical, and cost-effective.
The goal isn’t to replace support agents.
The goal is to reduce repetitive work so agents can focus on actual customer problems.
IndeskAI was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #153 on the daily leaderboard. Support faster, serve better, and keep customers coming back with InDesk’s powerful solutions driven by AI and automation.
On the analytics side, IndeskAI competes within Customer Success — topics that collectively have 6.2k followers on Product Hunt. The dashboard above tracks how IndeskAI performed against the three products that launched closest to it on the same day.
Who hunted IndeskAI?
IndeskAI was hunted by Navneet Raikwar. 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.
For a complete overview of IndeskAI including community comment highlights and product details, visit the product overview.
Navneet Raikwar