Launching today
Onboarding0
Turn company knowledge into AI-guided onboarding
69 followers
Turn company knowledge into AI-guided onboarding
69 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.
Onboarding0
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 🙌
Product Hunt
Onboarding0
@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 Worst onboarding I had was a tech stack doc linking to 6 outdated Notion pages.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.
Onboarding0
@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 ?
Onboarding0
@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 🚀
Onboarding0
@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??
Onboarding0
@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.
Big congrats on the launch, Leon! 🚀
Worst onboarding I've had: a repo README pointing to a Confluence page pointing to a Notion doc pointing to a Loom that no longer existed. Took me a week to set up a dev environment.
Love that you're attacking the knowledge-structure layer rather than just adding another checklist tool.
Feels like you're building the right primitive for where teams are heading. Excited to follow along.
Onboarding0
@sandro_adamia1 Thanks for the kind words, Sandro! In our experience, it takes new employees 1–3 months to reach full productivity, which represents a significant cost in both time and money. We’re working to solve this by reducing that loss for employers while making the onboarding process genuinely fun and engaging for new hires.
Another insight that emerged while building Onboarding0 is that this challenge isn’t limited to onboarding new employees, we face the same issue when “onboarding” AI agents of any kind. For them, a messy knowledge base and poor documentation are an even bigger problem. Our upcoming v2 of Onboarding0 addresses this by acting as an adapter layer between agents and companies.
scattered company knowledge is such a pain point. we've dealt with this when onboarding developers - half the tribal knowledge lives in Slack threads, half in outdated wikis. how does your system handle knowledge that's constantly changing? like when processes evolve but the docs lag behind?