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LINKENCE
The world's most accurate self improving retrieval engine
The secure AI copilot platform that knows your organisation and accelerates every team. Smart search, approval-gated AI workflow automation, and knowledge management.
I started building Linkence because I kept seeing the same problem inside teams: “It’s in there somewhere.”
The answer usually existed in Slack, someone’s Drive, a Confluence page, an old Jira ticket, an email thread, a spreadsheet, or a customer record — but getting to it required interrupting people, searching five tools, or recreating work that had already been done.
At first, I thought this was a search problem. But the more I watched teams work, the clearer it became that search was only half the pain. After finding the answer, someone still had to write the update, draft the customer reply, create the ticket, prepare the report, update the CRM, or repeat the same workflow next week.
So Linkence evolved from “AI search across your tools” into something bigger:
An AI workspace layer that finds the right context, explains where it came from, and helps you take the next step — with the user still in control.
1. Retrieval quality matters more than AI polish. If the AI retrieves the wrong context, every answer and automation after that becomes unreliable. We have invested heavily in hybrid retrieval, reranking, source-aware chunking, connector-specific parsing, and benchmark-driven evaluation. On our internal 500-question benchmark, the relevant section appeared in the top results 96.6% of the time, and the correct document was found 99.8% of the time, at around 0.4s retrieval latency.
2. AI should not stop at answering. Linkence can help draft emails, summarize projects, generate reports, query read-only databases, update tickets, and trigger workflows. But writes and sensitive actions stay approval-based and auditable.
3. The system should improve over time. We are building Linkence to learn from feedback, accepted answers, missed context, repeated questions, preferred sources, and recurring workflows, so each company’s AI becomes better at understanding its own tools, language, and processes.
4. Standard connectors are only the entry point. Most products can connect to Google Workspace, Microsoft 365, Slack, Jira, Confluence, and GitHub. Those are necessary, but enterprises are rarely won there alone. Real companies run on custom CRMs, ERPs, databases, internal apps, approval flows, and legacy workflows. Linkence is built to work with those systems too, and to turn customer-specific integrations into reusable connector and workflow patterns.
The long-term vision is simple:
Linkence should become the AI operating layer inside a company - one place where teams can ask questions, retrieve trusted context, automate repetitive work, and deploy internal AI agents across the systems that actually run the business.
We are still early, and I would genuinely love feedback from this community.
Ask me anything. I’ll be here all day.
About LINKENCE on Product Hunt
“The world's most accurate self improving retrieval engine”
LINKENCE was submitted on Product Hunt and earned 6 upvotes and 2 comments, placing #91 on the daily leaderboard. The secure AI copilot platform that knows your organisation and accelerates every team. Smart search, approval-gated AI workflow automation, and knowledge management.
On the analytics side, LINKENCE competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how LINKENCE performed against the three products that launched closest to it on the same day.
Who hunted LINKENCE?
LINKENCE was hunted by Soham Pandya. 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 LINKENCE including community comment highlights and product details, visit the product overview.
Soham Pandya
Hey everyone, Soham here, founder of Linkence 👋
I started building Linkence because I kept seeing the same problem inside teams: “It’s in there somewhere.”
The answer usually existed in Slack, someone’s Drive, a Confluence page, an old Jira ticket, an email thread, a spreadsheet, or a customer record — but getting to it required interrupting people, searching five tools, or recreating work that had already been done.
At first, I thought this was a search problem. But the more I watched teams work, the clearer it became that search was only half the pain. After finding the answer, someone still had to write the update, draft the customer reply, create the ticket, prepare the report, update the CRM, or repeat the same workflow next week.
So Linkence evolved from “AI search across your tools” into something bigger:
An AI workspace layer that finds the right context, explains where it came from, and helps you take the next step — with the user still in control.
1. Retrieval quality matters more than AI polish.
If the AI retrieves the wrong context, every answer and automation after that becomes unreliable. We have invested heavily in hybrid retrieval, reranking, source-aware chunking, connector-specific parsing, and benchmark-driven evaluation. On our internal 500-question benchmark, the relevant section appeared in the top results 96.6% of the time, and the correct document was found 99.8% of the time, at around 0.4s retrieval latency.
2. AI should not stop at answering.
Linkence can help draft emails, summarize projects, generate reports, query read-only databases, update tickets, and trigger workflows. But writes and sensitive actions stay approval-based and auditable.
3. The system should improve over time.
We are building Linkence to learn from feedback, accepted answers, missed context, repeated questions, preferred sources, and recurring workflows, so each company’s AI becomes better at understanding its own tools, language, and processes.
4. Standard connectors are only the entry point.
Most products can connect to Google Workspace, Microsoft 365, Slack, Jira, Confluence, and GitHub. Those are necessary, but enterprises are rarely won there alone. Real companies run on custom CRMs, ERPs, databases, internal apps, approval flows, and legacy workflows. Linkence is built to work with those systems too, and to turn customer-specific integrations into reusable connector and workflow patterns.
The long-term vision is simple:
Linkence should become the AI operating layer inside a company - one place where teams can ask questions, retrieve trusted context, automate repetitive work, and deploy internal AI agents across the systems that actually run the business.
We are still early, and I would genuinely love feedback from this community.
Ask me anything. I’ll be here all day.