Actionable insights — Portfolio Update: ServiceNow / Alibaba
The repeatable analysis behind the calls: not what he holds, but how he buys a quality name pricing in the worst case, confirms the thesis on fundamentals, harvests after a big rally, and dollar-cost-averages a name in the penalty box, written so each step can be rerun.
How to read this page: each insight is a method — buying when the price embeds the worst case, re-underwriting on the next print, the rally-harvest rule, and averaging into a cheap-but-hated name. The boxed line shows how it played out here.
1. Buy quality when the price has already discounted the worst case of the loudest fears
The repeatable method
- List the specific fears driving the stock down (AI disruption, acquisition margins, deal delays) and ask whether the multiple now implies all of them are true at once (~5.6x forward revenue here was the worst-case mark).
- If the franchise is durable (98% renewal, $27.7B contracted backlog), a price that prices in the worst case is the asymmetric entry — limited downside, the base case as upside.
- Enter near the capitulation low rather than waiting for confirmation, because the re-rate happens fast once one fear is disproven.
Here: NOW bought ~$102, gapped to a ~$83 low pricing the worst case at ~5.6x revenue — then ~$135 within two months.
Watch for
- A high-renewal, high-backlog business trading at a trough multiple where the quoted price only makes sense if every bear narrative is simultaneously true.
2. Confirm the thesis on the next print, not the price action
The repeatable method
- Wait for the first earnings report after entry and check the load-bearing metrics directly — subscription revenue, FCF, and remaining performance obligations (the signed-but-unrecognized backlog).
- Look for the proof points that the disruption fear is wrong: net-new large deals accelerating (+80% YoY) and the AI product itself scaling (Now Assist $1M+ customers +130%).
- Treat a raised outlook + a double-digit one-day move as the market re-rating to your view — the thesis is confirmed by fundamentals, the price just catches up.
Here: NOW Q1 — rev +22%, FCF +13%, RPO +25%, +14.56% on the day; the AI-disruption fear inverted (Now Assist is the growth driver, not the threat).
Watch for
- Accelerating backlog (RPO) and the feared technology showing up as a revenue line, not a headwind — the cleanest disconfirmation of a disruption fear.
3. Harvest some gains after an outsized rally — even on a name you still like
The repeatable method
- Quantify how far the stock has run off the bottom (65% here) and separate "do I still believe the thesis?" from "is the risk/reward still as good at this price?"
- Trim — don't exit — a winner that has front-loaded a lot of the upside: bank part of the gain while keeping a position for the multi-quarter case.
- State the hold-side view explicitly ("likely higher in six months if you can hold") so the trim is a risk-management decision, not a thesis reversal.
Here: NOW — "some gain-harvesting may be in order" after a 65% rally, while still expecting it higher in six months.
Watch for
- A held winner that has rallied 50%+ in a short window — the cue to trim into strength while retaining a core position.
4. Dollar-cost-average into a world-class name the market has put in the penalty box
The repeatable method
- Distinguish a broken business from a great one spending heavily — Alibaba's weak earnings come from AI, chips and food-delivery investment, not a deteriorating franchise.
- Anchor on a valuation metric the spending can't distort — here price/sales rather than earnings, since heavy investment depresses the bottom line.
- Average in gradually rather than buying all at once, because a name in the penalty box can stay cheap until the outlays show returns — DCA pays you to be patient and removes timing risk.
Here: BABA down ~25%, cheap on price/sales, in the penalty box on AI/chip/food-delivery spend — gradually dollar-cost-average.
Watch for
- A world-class business with optically poor earnings driven by discretionary investment, cheap on a spend-insensitive metric (P/S) — the classic DCA-the-penalty-box setup.
Methods distilled from the paid Haymaker Substack post (text in transcript.txt) for personal study. Not investment advice. © Haymaker / David Hay for source material.