Launched this week
SeaTicket
Al agent that resolves issues across all your channels
207 followers
Al agent that resolves issues across all your channels
207 followers
Software teams are drowning in a sea of fragmented issues across GitHub, Discourse and emails. Valuable feedback is often buried under noise. SeaTicket transforms community support by syncing these into a single workspace. What makes it different? Full Context: Bring related issues and documents when solving an issue. AI Agents: Built-in agents autonomously suggest resolutions using existing documents and previous issues. Stop digging for context. Start resolving.
Bridging a support ticket to actual GitHub context is the right call. Most ticket tools stop at tagging; getting the agent to trace a user report to a code path changes the quality of the response entirely. We've built similar plumbing in-house and the context assembly is the hard part. How does the agent handle cases where one symptom maps to multiple possible root causes?
SeaTable
@anand_thakkar1 In SeaTicket, we first define a search tool that, upon receiving a query, identifies relevant issues and documents, followed by a re-ranking process using a large language model (LLM). This approach guarantees that the search results are highly accurate.
When presented with an issue, the AI agent will invoke the search tool multiple times with different queries until it believes it has gathered sufficient information to address the issue. Therefore, if the AI model is sufficiently powerful, it can reason about the answer even if one symptom can correspond to multiple potential root causes.
Bringing full context into the resolution flow is the right call. Most support tools surface the ticket but not the relevant prior issues or docs. We've dealt with this fragmentation problem building customer-facing workflows. How does the context retrieval work under the hood? Is it vector search over your issue history, or do you use a graph structure to connect related threads?
SeaTable
@retain_dev In SeaTicket, we utilize both keywords and vectors to identify relevant issues, followed by re-ranking using an LLM. This approach ensures that the search results are highly accurate.
Congrats on the launch. The cross-channel context piece is very real, especially when GitHub, Discourse and email all describe the same issue slightly differently.
The bit I am curious about is where you draw the line between suggesting a resolution and taking action. For example, when the agent has enough confidence, does it only draft the reply, or can it also update GitHub state, close/merge linked issues, or send the customer response? And if it can act, do you model approvals or audit per workspace/customer?
SeaTable
@blah_mad For changing state and assign labels, it can be done without approvals. For response, it is better for a manual review and approve.
SeaTable
Hey Product Hunt! 👋
I’m Daniel Pan, Co-founder of Seafile, and I’d like to introduce SeaTicket, which came from a problem we lived with for years.
Through years of community support, we saw how scattered channels turn into lost context and slower teams. So, we built SeaTicket for teams that are tired of losing things, whether that’s time, context, or the trust of the users they’re trying to help.
With SeaTicket, your team finally gets to:
🧠 Focus on solving, not searching
spend your energy on the problem in front of you, not hunting for context across tools
⚡ Move faster without more people
handle more issues, at higher quality, without growing your headcount to match
🔁 Get smarter with every issue you close
your past work actively improves how you handle future problems
👥 Keep everyone on the same page
support, engineering, and product working with full shared context, no handoff friction
🤝 Build real trust with your users
give them visibility, consistency, and fast answers instead of silence
The result: less chaos, more clarity, and a support experience your users actually appreciate.
Try SeaTicket for free with no credit card required.
From Daniel Pan (Co-founder), SeaTicket team
SeaTable
@dani_mashael Thank you for the support!
I like the idea that every resolved ticket makes the next one easier. Support history usually just sits there, so turning it into active context is a solid move.
The fragmented issues problem is real. Same question comes in across GitHub, email and Discourse and each one gets handled separately with no shared context. Pulling it all into one place before you respond is the part that actually saves time. Good luck with the launch.