Onboarding0
Turn company knowledge into AI-guided onboarding
127 followers
Turn company knowledge into AI-guided onboarding
127 followers
Onboarding0 turns your scattered company knowledge into a structured AI onboarding system. Connect your docs, map your org, and an AI agent guides every new hire to productivity. Built for humans today — the knowledge backbone for AI agents tomorrow.
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Hey Product Hunt 👋
I’m a co-founder of Onboarding0.
I’ve onboarded dozens of people across startups and growing teams — and it always felt broken.
Not because we lacked docs, but because everything was scattered: tools like Notion, Google Drive, Slack… and a lot of “just ask someone.”
New hires end up digging through folders, asking the same questions, and taking way too long to ramp.
So we built Onboarding0.
The idea was simple:
👉 What if your company knowledge could organize itself
👉 What if onboarding plans were generated automatically
👉 And what if an AI could guide every new hire step-by-step
That’s exactly what Onboarding0 does.
You connect your docs and map your org, and it:
structures your knowledge into something usable
generates role-specific onboarding plans instantly
guides each person through their journey with an AI agent
The result:
Faster ramp time
Less manager overhead
Onboarding that actually works
But the bigger shift is this:
We won’t just onboard people — we’ll onboard AI agents too.
Onboarding0 becomes the knowledge backbone for:
your human team
your future AI workforce
Curious what you think:
What’s the worst onboarding experience you’ve had?
Would you trust an AI to guide onboarding?
I’ll be here all day responding 🙌
@curiouskitty Yes, we provide citations for every answer and allow users to give thumbs-up or thumbs-down feedback.
This feedback is surfaced in the hiring manager dashboard so downvoted resources can be reviewed manually, and it is also fed into our LLM knowledge base/RAG pipeline to improve result re-ranking based on user responses.
Congrats Leon. Worst onboarding I had was a tech stack doc linking to 6 outdated Notion pages. The thing I'd push on: when company docs drift (people rewrite, rename, delete), how does Onboarding0 detect it and update the plan vs silently serving stale steps? We hit this hard on TalkBuildr's KB side, dedup + freshness is the unsexy part nobody talks about.
@cuygun Hi Cesurhan, this is a great question and a key challenge we are working to solve effectively, to make it our competitive moat.
We’ve set up real-time sync for various source connectors such as Confluence, Notion, Jira, and GitHub - to keep content as up to date as possible. That said, staleness can still occur internally when teams don’t maintain their documentation and wikis, which is a significant challenge.
This is also part of our moat: we incorporate user feedback to dynamically re-rank wiki and documentation sources. For example, if someone downvotes a resource or answer and marks it as “outdated,” the LLM’s knowledge base treats that as a signal and adjusts accordingly in real time.
@onboarding0leon Nice. Real-time sync + user-feedback re-ranking is the right combo, especially the "mark outdated" signal feeding the retrieval layer. The downvote tags in your screenshot (no source / outdated / incorrect / unclear) are clean, we use something similar on TalkBuildr but don't route it back into ranking yet. Might steal that idea.
Great idea 👏 The part that actually hits for me isn't the new hire angle, it's being the one who gets asked. Same questions for years - where's the deploy doc, who owns X, how do i get access to Y. you answer, link the doc, two weeks later someone new asks again.
If this cuts that in half it's already worth it. Only real worry is staleness. Every notion-AI tool i've tried demos great and then quietly dies six months in once nobody's updating sources. how are you handling that, @onboarding0leon ?
@smukec Hi Leo, thanks for the great question! I completely agree. I’ve onboarded more than 100 engineers and technical professionals in my career, and being constantly available to answer the same questions repeatedly is exhausting.
In the upcoming v2 of Onboarding0, we’re introducing a new feature: an EA-style agent for hiring managers. It can be given a defined identity (similar to how SOUL.md works for personal assistant agents) and will learn directly from the hiring manager. This will allow it to support new hires far more effectively than our current chatbot.
Staleness is one of our key focus areas, because without addressing it, we can’t build a truly useful knowledge base or onboarding experience. We use a real-time ranking system that runs periodically, compares all documents against the source of truth, detects contradictions, incorporates user feedback (such as downvotes marked outdated, unclear, incorrect, etc.), and more.
In short, our goal isn’t just to create an onboarding experience for people. It’s to build the best knowledge base platform for onboarding both humans and future AI agents.
the EA-agent-per-manager angle is the more interesting bet imo 👀 generic onboarding chatbot is a commodity in 12 months — "agent that sounds like your actual manager and knows what they'd answer" is not. that's the moat.
good luck with v2, rooting for you 🚀
@smukec Thanks Leo, really appreciate your feedback! 🙏
Could be really helpful! But suppose if your knowledge base is messy, does Onboarding0 fix it or just make the mess easier to navigate??
@lak7 Hi Lakshay, yes, exactly. In our experience, over 80% of companies have disorganised knowledge bases and even more chaotic manual onboarding documentation. What we're trying with Onboarding0, is using deep reasoning and autonomous agent workflows to extract maximum value from messy information, do multiple passes, rank sources and organize in most effective way, while minimising the need for manual human intervention.
The 'just ask someone' problem is exactly what makes bad onboarding invisible until it is too late. The new hire thinks they are learning but they are actually just finding the one person who knows where things are and following them around. That person becomes a bottleneck and nobody notices until they leave.
To answer your questions honestly — the worst onboarding experience I had was joining a team where the documentation existed but was six months out of date. So you would follow the steps, hit a wall, ask someone, and they would say 'oh that doc is old we do it differently now.' Outdated docs are almost worse than no docs because they create false confidence.
On trusting AI to guide onboarding — yes but only if the AI knows what it does not know. The dangerous version is an AI that confidently guides someone through a process that changed last month. The valuable version is an AI that says 'this is what the documentation says but flag your manager if something does not match reality.'
Congrats on building this. The AI agents onboarding AI agents angle at the end is the most interesting part of where this goes.
The "just ask someone" problem is so real. I've been the new hire lost in four different Notion spaces trying to guess which doc is current. I've been the veteran getting pinged with the exact same questions every week. It sucks both ways.
I like that it's not just another doc search tool. Most onboarding apps are basically search bars with extra steps. Having something that actually guides people through their first few weeks is the missing piece.
Also kinda love that you're thinking about onboarding AI agents eventually, not just people. Whether or not that plays out exactly how you describe, structured company knowledge is valuable either way.