u/Important-Register63

Mods, remove if this isn’t allowed and full disclosure, this is my own project, so fair warning it’s a bit of a self-promo.

Monaco has one of the densest job markets in Europe (~60,000 jobs on 2 km²), but the openings are spread all over France Travail, the government portal, recruitment agencies, individual company pages. I got tired of checking ten different sites, so I built Monte Carlo Work.

It pulls all the Principality’s listings into one feed 200+ live offers right now across banking, luxury hospitality, yachting, retail, tech, construction, etc. refreshed daily.

You can filter by sector, set alerts, and it’s free for job seekers.

Listings are also tagged by the Loi 629 hiring-priority categories, which is handy if you’re a resident or a cross-border worker trying to figure out where you actually stand.

Not trying to spam the sub just figured it might save someone the same hassle. Happy to hear feedback or feature requests.

montecarlowork.com

I've spent the past 6 months building Aikairo, a multi-touch attribution layer that sits on top of HubSpot. Wanted to share what I learned and get some honest feedback from people stuck in the same hole.

The problem that started it

Our CMO would look at HubSpot and see "LinkedIn: €120k pipeline". I'd dig in and find LinkedIn was the last click before the form fill — but the real buyer journey was: ChatGPT cited us → they Googled → read our blog 3 times → a colleague sent the link by email → finally clicked LinkedIn after a retarget → form. LinkedIn getting 100% of the credit is just wrong.

HubSpot's Source is last-touch. The reports are last-touch. There's no way to see the whole journey, no way to credit the channels that actually started the conversation.

What it does

• Lightweight tracker (<15KB) on the customer site — captures every touchpoint with channel detection (UTM, click IDs, referrer host)
• AI engines as first-class channels: ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com. We're seeing some workspaces at 5-12% of identified leads coming from LLM citations now.
• Server-side API too — backend events (Stripe purchase, server-validated form) attribute correctly without browser dependency
• Workspace-level multi-touch: Markov chain ("if I cut channel X tomorrow, how much pipe do I lose?") and Shapley value
• Per-lead: Claude reads the full journey and assigns credit with reasoning
• Auto-syncs trail_first_source / trail_last_source / trail_journey back to HubSpot as custom contact properties

Things I underestimated

• Same-site nav polluting "direct" — took me weeks to notice that page-to-page navigation on the customer's own site was inflating direct traffic. Now labeled internal and excluded from source attribution.
• AI referrals are growing fast — 6 months ago they were 1% of identified leads on the pilot workspaces. Now they're 5-12%. If you're not tracking them, you don't see your strongest content marketing channel.
• Most attribution dashboards are quietly wrong — last-touch + uncaptured bot traffic + same-site referrers = numbers that look authoritative but mislead investment decisions.

Genuinely curious :

1. If you're on HubSpot, how do you currently handle multi-touch attribution? Built-in reports, Dreamdata/Factors/HockeyStack, or spreadsheets?
2. Anyone tracking AI referral traffic? What's your % and which engine sends most?
3. What's the one thing that would make a tool like this actually useful for your team?

Happy to share screenshots or run a live demo if anyone wants. Not pitching — I really want to know what I'm missing.

(I'm the sole founder/dev, not affiliated with HubSpot)