Onboarding0
Turn company knowledge into AI-guided onboarding
130 followers
Turn company knowledge into AI-guided onboarding
130 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.
This hits close to home. I scaled an engineering team from 15 to 120 and onboarding was consistently our biggest bottleneck - not because we didn't document things, but because knowledge lived in 50 different places and nobody could find it under pressure. New hires would spend their first month just figuring out who to ask. Love that you're framing this as a knowledge backbone rather than just another wiki. The AI agent approach makes sense because the real problem was never "we don't have docs" - it was "nobody knows which doc is current or relevant to their situation right now."
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.
Open Wearables
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 we've dealt with this when onboarding developers - half the tribal knowledge lives in Slack threads, half in outdated wikis.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?
Love the framing of "knowledge backbone for AI agents tomorrow" , that's the actual long-tail value. I'm building Sorti (we organize the chaos of saved phone content for individuals) and there's so much overlap in the core insight: scattered context is the bottleneck, structure is the unlock. Curious how you're handling doc freshness as orgs evolve, re-indexing on a schedule, on-edit, or something smarter?
very cool idea - as someone who had to onboard a lot of juniors to my teams, I could definitely use it. The only thing that I'd struggle with - each hire has a different pace, that you can't predict before the onboarding. Did you think how to dynamically change the onboarding depending on progress/maybe mananger's instructions or anything else?
I believe that adding such dynamic dimension could help a lot!