Julien Fortin

8 posts

Julien Fortin

Julien Fortin

@Jufort05

Katılım Kasım 2025
3 Takip Edilen0 Takipçiler
Adrián, Head of the arena 
$LMN.V kicks off the $CSU.TO family's Q1 2026 earnings season - Don't be fooled by the -2% organic growth shown in the press release, because recurring OG was +6% (+3% in CC) ✅ - FCFA2S weak as hell with a -56% YoY, so I wouldn't be surprised to see LMN's shares down big tomorrow ⚠️ - The main reasons were higher WC changes (aka noise), higher taxes and some one-off costs related with acquisitions, so no worries from my side ✅
Adrián, Head of the arena  tweet mediaAdrián, Head of the arena  tweet mediaAdrián, Head of the arena  tweet mediaAdrián, Head of the arena  tweet media
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dre1012
dre1012@dre1012·
$LMN.V once in a lifetime gift here. At least until AI kills it.
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Raging Capital Ventures
Raging Capital Ventures@RagingVentures·
I disagree. I think legacy applications and middleware from companies like $CSU.TO or $IBM are most exposed as AI eliminates many of the historical ETL barriers-to-switch: Upgrading to modern SaaS solutions and systems of record will now be much easier and cheaper.
Paul, not a CFA@Investmentideen

Call me out in a few years when all my software investments go to zero: AI (incl. “vibe coding”) commoditizes code, not systems of record. CSU owns mission‑critical systems of record in niche markets. Those moats are data, workflows, integrations & switching costs – not the difficulty of writing code. Think about what CSU actually buys: 20‑year‑old billing, practice management, municipal, utility, hospital, etc. systems that are completely entangled with how that vertical runs. Replacing them is a multi‑year capex + career‑risking project. AI doesn’t change that risk calculus. Vibe coding makes it cheap to stand up “an app”. It does not: • migrate 15 years of messy production data • recreate hundreds of integrations (banks, tax authorities, devices) • rebuild reports auditors & regulators already trust • retrain an entire workforce on new workflows Most CSU businesses sit at a control point in the value chain. They are the authoritative ledger for money, people, or regulated data. That’s qualitatively different from a point solution that sends emails or draws dashboards on top of someone else’s data. AI is great at “systems of action”: generating content, orchestrating tasks, moving data between APIs. Those are the tools that get nuked – thin SaaS wrappers around Gmail, Stripe, HubSpot, QuickBooks, etc. They have shallow data gravity and low switching costs. But systems of record (ERP/CRM/core VMS) encode: • strict data models & referential integrity • audit trails, permissions, compliance • deterministic workflows that boards, auditors, and regulators understand. You don’t vibe‑code your general ledger or your clinical records. We’ve seen a similar wave already: low‑code/no‑code. For a decade you could drag‑and‑drop your own business app. Did enterprises kill SAP, Oracle, or niche ERPs? No – they use low‑code at the edges while keeping standardized core systems. AI just turns that dial further. The “every company will build their own ERP with AI agents” story underestimates non‑coding costs: product mgmt, domain expertise, change mgmt, security, incident response, integration maintenance. Most CSU end‑markets don’t even have the teams to run that experiment. On margins: AI is more likely to be margin‑accretive for CSU‑type vendors. It: • boosts dev productivity (faster features/integrations with same R&D) • automates support, onboarding, documentation • improves internal ops (billing, collections, forecasting) Can buyers use AI to squeeze prices? Some, at the margin. But in most CSU verticals, software is 1–2% of revenue and mission‑critical. The binding constraint is risk, not license cost. As long as the app works and is maintained, there isn’t much appetite to rock the boat. Meanwhile vendors can repackage AI as upsell: copilots, agents, forecasting, process mining. Core ERP/CRM pricing stays per‑seat/per‑site; AI is a new line item or higher tier. That’s ARPU expansion, not commoditization. The code got cheaper – the outcome got more valuable. Where AI really hurts is exactly what you flagged: point solutions. Single‑feature SaaS that: • sits at the UI layer • talks to a few APIs • has no proprietary data model or workflow depth. Those become prompts: “Hey model, do what this $30/month SaaS was doing.” Net effect: • Point solutions & generic horizontal tools: heavy pressure. • Core vertical systems of record: AI is an add‑on + cost reducer, not a replacement. • CSU’s skill set (buying sticky, boring, regulated, low‑IT‑budget software) is aligned with where AI is least disruptive. Could AI still reshuffle winners within verticals? Sure. Incumbents that ignore AI may lose to incumbents that embrace it. Some CSU properties will under‑invest and stagnate. But that’s competition at the margin, not “vibe coding obsoletes the whole business model.” So why doesn’t AI commoditize CSU? Because their moat isn’t lines of code. It’s being the entrenched, audited, regulator‑blessed system that runs payroll, billing, tax, and operations for thousands of tiny niches. AI will sit on top of that stack long before it replaces it. Oh and I haven't even started talking about the complexity of running a software company and building a team. $CSU.TO $ACP.WA $SGN.WA $TOI.V $LMN.V

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David Orr
David Orr@orrdavid·
@RagingVentures I'd have been short CSU if it wasn't for so many other far easier targets. Still probably think the short is good though. Software is having a mass obsolescence moment, and people are still way too in denial about what AI means on my feed.
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Space & Defense Sector
Space & Defense Sector@SpaceSector001·
@BarrySchwartzBW What the f*** does this company do? I just know people losing money and I'm actually curious cuz I like to help them
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Barry Schwartz
Barry Schwartz@BarrySchwartzBW·
Lumine marketing meeting notes - $60B addressable market - no style drift for now given the long runway - specialized targets are in media/communications which limits copycats - open to acquiring public companies, carve out assets and assets owned by PE - all 31 acquisitions so far have exceeded IRR hurdle rates - when we buy something, we tend to shed unprofitable divisions/ customers which distorts organic revenue growth - CEO David Nyland wants to stick around for at least 12.5 years - hungry to scale - confident that true organic growth will be 2-3% over the long term - has 9% close rate on deals- we will not overpay -has 950 targets right now that it speaks with on a regular basis - most acquisitions require a lot of optimization - PE and copycats can't operate like we can - lots of opportunity to raise pricing on lower end customers
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The Wise Investor 🧠
The Wise Investor 🧠@TheWiseIC·
$LMN.V when does this bottom? Still no signs of any bottom. Huge sell orders continue to pile in. Anyone have any thoughts? Looking tempting here.
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