The internet has not broken yet.
Some quick thoughts 1/
2/ My priority is to focus on companies that can sustain 30-40% growth rates for a 3-5yr.
The market is looking for companies that have growth PLUS (optionality, product-lock-in, switching costs, mission-critical) to deduce the durability of a 3-yr CAGR to decide its multiple.
3/ Other things is looking for 30%+ CAGR Rev growth combined with lock-in, high land & expand DBNRR?
Alternatively, for non-SaaS companies. I'm looking for companies that are still relatively early in capturing their TAM and are showing qualities that they are market leaders?
4/ There are MANY value traps that will not recover for years.
The biggest question to ask yourself before buying any dips is-
Based on a company's competitive advantage, what's the durability of their rev growth and eventual earnings power over 3-4yrs based on today's prices?
5/ My sympathies to anyone in $ASAN, $DOMO and $DOCU. In my opinion, the extra sting in their severe dip over the last 24-hours is that the markets hates deceleration and doubts the durability of their LT moat/growth.
Vice-versa: Look at strength in $DDOG, $SNOW, $ZS etc.
5i/ The challenge is that the most durable and high-quality companies will not become "cheap" by traditional valuation metrics.. You've gotta pick your spots.
As my friend @convequity points, SaaS companies quality, TAM expansions, and margins are higher than "07, dot com.
6/ For GARP'y names:
I've been building a strong position already in $GDYN 2-weeks ago but might add more (This is the strongest name in this market!). GDYN is a AI/ML Tech consultancy in the middle of digital transformation.
Other boring strong SaaS Co's: $FTNT, $PANW, $OKTA
7/ Likely things get worse over the upcoming weeks since the Nasdaq is only down 7%. Usually, these corrections bottom at 12%-18%.
This sounds crazy but I've borrowed and transferred new cash into my account as historically, the Fed Taper is the ULTIMATE buying opportunity !!
8/ This is an important period to be level-headed.
Personally, I've got lots of work and analysis to do this weekend before deploying my new cash. Will share along if I have enough time.
IMO, we'll look back to this period as a generational buy opportunity. Choose wisely. HAGW!
My portfolio is still very much intact from what I shared last weekend btw.
All the companies above are just some high conviction portfolio names and some watchlist companies that's I'm focused during this period (Dec - Jan 22). Cheers.
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+ Obsessed with computers from a young age
+ He graduated from MIT with a Computer science degree
+ Worked for Mckinsey in Europe
+ Came back to New York to work for Tiger Global for 3+ yrs until 1999 when Tiger returned capital.
Let's begin w/ positives:
• Current Q3, 70% YoY growth
• 50k Customer growth was 132% (highest since 2020)
• 5k & 50k Customers are sticky, spending more: DBNRR of 130% and 145% respectively to last Qtr
Where were the negatives? 1/6
2/ Reason the stock is down:
• Revenue of 70% YoY, slight deceleration
• Q4 Guide: 54% YoY, 5% sequential slowdown from 12% QoQ from Q1-Q2
• FY Guide: 64%, light
• FCF: -29% & high S&M/Operating exps remaining the same
+ This is unacceptable when yu trade for EV/S of 60+ :(
3/ $ASAN: It turns out this indicator in my thread came true.
Enterprise customers were more likely to Decrease their spending on $ASAN over the next couple of months which is why $ASAN likely had a slow guide.
This is a phenomenal breakdown of today's Enterprise AI/ML stack (S/O: @BatteryVentures).
I'm constructive on the tailwinds within this space and I'm long: $CFLT, $CRWD, $AMPL, $PLTR.
The report below is a great read for any AI & Enterprise SaaS Enthusiast.
Thread Summary: 1/
2/ Today's Org has a fragmented data and AI environment. Here are the different job roles required to perform certain data tasks.
For example, 1) the ETL process is going to undergo some innovation. 2) More people will become data citizens IMO.
The visual below shows it.
3/ The Data Value Chain:
The picture below explains -
i) the lifecycle of machine learning in an organization,
ii) the different applications required, and
iii) how data flows through the modern organization.
2/
- Q3: 40% YoY would be Net $30M, 35% ideal
- Q4 Rev: $405M (>27% YoY) is a minimum.
- FY 2021: $1.6B which would be roughly 40% YoY would be great.
- Sadly, I expect high SBC Costs
- Gov't contracts should boost FY 21 based on recent contracts (Army, IDIQ)
Metrics below
3/ Enterprise Clients is a BIG PART of my thesis:
Acceleration in the commercial would be HUGE. In Q2, they added 20 net new clients (booked $925M of contracts (175% YoY): Could we get around 190+ in Q3?
I'll watch Billings, RPO Growth, and Total Contract Value, ideally $4.0B+>
Confluent: The Central Nervous System that is empowering Data in Motion for the Leading Corporations.
Why Confluent could become as dominant as Snowflake as a leading Open-Source Data Infrastructure.
This is my long-awaited $CFLT Investment Thesis:
1/Thread Overview:
1) First Principles Analogy for Kafta (the foundations of Apache Kafta is needed to know CFLT) 2) $CFLT Overview and how it fits Kafta 3) Investment Thesis 4) The AI & Data Analytics Opportunity
Let's GO!
2/First, we need to know Apache Kafta?
An analogy: Imagine the task of going shopping, arriving home and you need to distribute those bought items across a BIG house FAST. Hassle? What if I gave you a robot to perform that task? Yay!