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Wednesday 21st May, 2025
This deal broke the internet today.
TLDR:
OpenAI is acquiring io - a 2yr old, pre-product, pre-revenue, 55-person startup led by Jony Ive
Jony is the most influential designer in tech history (led design of the iPhone, iOS, iPod, iPad, Apple Watch, and most likely whatever else youβre reading this email on)
Jony and Sam secretly co-founded io 2 years ago, imagining what a consumer device designed specifically for AI could be
Jony and his team will now lead all creative and design work at OpenAI
Hereβs where it gets quirky: itβs an all-equity deal valuing io at $6.5 billion (or $118 million per employee - potentially the highest everβ¦?)
After about 2 hours of sniffing around X for memes and hot takes, I ended up tumbling down a rabbit hole of other frame-breaking acquisitions.
Not just the ones that generated the largest returnsβ¦
β¦ but also the creativity behind the acquisition strategies shaping todayβs most defining companies.
Like Slack - aggressively consolidating standalone apps for things like docs, screensharing, and employee directory into their core product, allowing them to rapidly shortcut their βfeature gapβ with incumbents like Microsoft and Google.
Or Atlassian - buying, stacking, and combining a string of fast-growing collaboration tools (Bitbucket, Trello, Loom, etc) into one of the most efficient bundle / platform / cross-sell / PLG strategies in all of SaaS.
(Future breakdown ideas? π)
But the one that caught my monkey-brain in a Perplexity-loop for the rest of the day was Snapchat.
Snap Inc (Snapchat, Spectacles, Bitmoji, etc) could be the most underappreciated tech acquirer out there.
When you break it down, their entire business is an amalgamation of acquired startups.
β Here are the 33 deals that shaped the Snapchat used by 900 million monthly active users today:
AddLive (2014) - $30m
Became Snapchats βVideo Chatβ feature.Vergence Labs (2014) - $15m
Became βSpectaclesβ, Snapchatβs smart glasses hardware line.Scan.me (2014) - $50m
Became βSnapcodesβ, Snapchatβs personalised QR code feature.Looksery (2015) - $150m
Became βFiltersβ and βLensesβ, Snapchatβs facial recognition and modification technology.Bitstrips (2016) - $64.2m
Became βBitmojisβ, Snapchatβs personalised avatars.Obvious Engineering (2016) - Undisclosed amount
Became Snapchatβs β3D Selfiesβ, powering face swaps and other AR overlays.Vurb (2016) - $114.5m
Became Snapchatβs local business search and discovery features.Flite (2016) - Undisclosed amount
Became Snapchatβs interactive ad tech powering 360Β° video ads and vertical video ads.Cimagine (2016) - $30-40m
Became Snapchatβs AR product visualisation features.Ctrl Me Robotics (2017) - <$1m
Became part of Snapchatβs hardware team.Placed (2017) - $135m
Became Snapchatβs ad tracking for foot traffic and conversions in physical stores.Zenly (2017) - $213m
Became βSnap Mapβ, Snapchatβs interactive social maps.
(I wrote one of the first Strategy Breakdowns on Snap Map - read it here).Strong.Codes (2017) - Undisclosed amount
Became part of Snapchatβs code protection technology.Metamarkets (2017) - <$100m
Became Snapchatβs analytics dashboard for advertisers.PlayCanvas (2018) - Undisclosed amount
Became part of Snapchatβs βLens Studioβ, where developers build AR Lens effects.Teleport (2018) - $8m
Became part of Snapchatβs βFiltersβ technology, powering features like hair colour changes.AIFactory (2020) - $166m
Became βCameosβ, Snapchatβs animated selfie video feature.Voca.ai (2020) - $70m
Became Snapchatβs Ai-based voice agents for customer support.Voisey (2020) - Undisclosed amount
Became Snapchatβs music creation and sharing features.Screenshop (2020) - Undisclosed amount
Became Snapchatβs product recommendations based on images saved to βMemoriesβ.Ariel AI (2021) - Undisclosed amount
Became part of Snapchatβs AR experiences team.Fit Analytics (2021) - $124.4m
Became Snapchatβs virtual clothing try-on and sizing features.StreetCred (2021) - $124.4m
Became part of the location data platform powering Snap Map and other AR experiences.Demand Sage (2021) - Undisclosed amount
Became part of Snapchatβs ad reporting and analytics features.Pixel8earth (2021) - $7.6m
Became part of βLocal Lensesβ, Snapchatβs location-based AR experiences.WaveOptics (2021) - $500m
Became Snapchatβs AR display manufacturing team.Vertebrae (2021) - Undisclosed amount
Became Snapchatβs self-service system for brands to manage AR versions of their goods.Popwallet (2021) - Undisclosed amount
Became part of Snapchatβs mobile advertising network.NextMind (2022) - Undisclosed amount
Became part of βSnap Labβ, Snapchatβs AR hardware research team, working on brain-computer interfaces.Forma (2022) - Undisclosed amount
Became part of Snapchatβs virtual dressing featuresCompound Photonics (2022) - Undisclosed amount
Became part of Snapβs AR hardware R&D team, building microdisplays for Spectacles.
Th3rd (2023) - Undisclosed amount
Became part of βAR Enterprise Servicesβ, creating Snapchatβs 3D digital product twins solution.GrAI Matter Labs (2023) - Undisclosed amount
Became Snapchatβs division for advanced AI/AR chip development for wearables (i.e. βNeuromorphic computing hardwareβ).
Wild.
I appreciate that for most of us (besides the 13% of you working in Corp Dev), weβre not exactly hunting for hardware startups to drop $500m on.
So I wanted to leave you with something to chew on (not just dream about chewing on).
Hereβs my prediction:
β AI agent acquisitions will become a defining strategy for internet businesses over the next 5 years.
SMBs, startups, scaleups, and enterprises alike.
Iβm not talking about an agent that researches inbound leads and sends you a Slack summary of their LinkedIn activity (although they are pretty handy!)
Iβm talking about acqui-hiring agent swarms.
Imagine using last monthβs profits to acquire an entire Inbound SDR team:
Qualifying inbound leads using deep research and ICP template mapping
Nurturing leads with models fine-tuned on transcripts of the worldβs most efficient salespeople
Scoring and prioritising based on semantic AI analysis of lead conversations
Handoff to other agent swarms for closing, delivery, customer success etc.
Logging and reporting for visibility and continuous orchestration optimisation
Fully out-of-the-box.
β Spend 1 week configuring.
β 2 weeks improving.
β 1 week preparing for next monthβs acquisition.
Things are about to get jazzy.


Bit of an experiment this week.
I wrote the entire email in 1 sitting.
Top-to-bottom.
OpenAI to Snapchat to agent swarms.
No constraints.
No thesis.
No edits.
Just a dayβs worth of freeform observation + speculation, delivered straight from my browser history to your inbox.
What did you think? Y/N?
β Tom


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