Co-Founder at @Lazer_HQ, @SuperchargedSMS (Acquired), @FiixMechanics (YC W17, Acquired) • 🇨🇦🎾
Toronto | SF
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2025 at @Lazer_HQ has been our busiest year so far ❤️
We did 150+ unique total projects
48 crypto, 46 commerce, 34 B2B/SaaS, 16 consumer, 15 AI, 8 mobile, 7 fintech, 4 healthcare
And we're now at 170+ people, with 0 investors and well into 8 figures in revenue 🚀
In the moment, we're so caught up in building and shipping that we forget to share about the amazing launches and products we've helped shape, so here are a few we love
AI
- Helped Motion build agentic workflows + data and inference infrastructure to scale LLM “expert” performance
- Migrated core messaging for ClassDojo to a hybrid RN architecture with AI‑scale reliability practices and automated pipelines that cleared accessibility mandates
- Built Extropic's distributed computing platform for high‑compute AI workloads with fine‑grained job scaling
- Creating an AI powered routing algorithm for GoBolt
- Prototyped an AI Hub with Retool for enterprise teams, with agent‑ready data prep and admin workflows to operationalize LLM use cases
COMMERCE
- Helped Shopify across a number of engineering initiatives
- Lead and support SKIMS in engineering across frontend, storefront, POS, and backend infrastructure
- Migrated October's Very Own from a custom Hydrogen frontend to Liquid and continue to level up their storefront
- Migrated Gibson to Shopify across DTC, B2B, POS, and international markets
- Accelerating Athletic Greens across numerous full-stack and AI engineering initiatives
- Integrated Vantage's AI-powered search into Shopify (later acquired by Shopify)
- Migrated Firstleaf from Solidus to Shopify while building custom subscription and state-by-state alcohol compliance tooling
- Leading engineering for Mattel's American Girl
- Led Knix through numerous frontend initiative's
- Developed and launched a Shop Mini enabling Shop customers to virtual try-on apparel from their fav stores
CRYPTO
- Helped Coinbase across the stack to build and launch their new Base app
- Designed core Berachain launch pages and helped build the infrastructure for their asset and NFT bridges
- Initialized the work on Alchemy’s React Native wallet SDK and beefed up their SDK for web
- Helped Magic deliver their Newton platform for agentic, autonomous finance
- Helping XMTP build the next phase of their path to messaging world domination
- Built Dynamic’s Swift SDK for wallet integration on native iOS
- Helped Courtyard migrate critical marketplace functionality away from third-party vendors building an in-house indexer and relayer
CONSUMER
- Re‑architected CookUnity's React Native app and CI
- Designed flight planner features for Pivotal Aero
- Built a performant, configurable content system for Stanford's Hoover Institution to host AI‑generated narratives and rich media with an admin‑driven component library
- Helped Wakefern with UI/UX needs for their ShopRite app
HEALTHCARE
- Provisioned the data platform and ML infrastructure for ICP’s intelligent diabetes care solution.
- Refactored Sully's audio recording capabilities and built AI diarization for their medical scribe extension and app
FINTECH
- Built a Stripe-integrated risk engine for Canonical to automate fraud detection workflows
We also helped…
Kraken, ICONIQ, General Catalyst, OpenSea, Bombas, Todd Snyder, Axiom, VF Corporation, Ava Labs, ButcherBox, DIMO, Argo, Titles, Humi, Ardene, Seed, Delphi, Zuma, ShopHQ, Segen, PawProsper, TYR, EQL, RacquetGuys, Heron Finance, Mantle, and many more
Can't wait for 2026 and building more of the world's best products with amazing founders ⚡️
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Every university or highschool had those kids who would be the main person who everyone went to to learn
Enable and motivate those folks to help with this
This is my thesis: no one uses AI. I repeat, absolutely no one. We live in a bubble.
Even among my friends who pay for it, when I ask them to open ChatGPT and show me their queries, it’s the same handful of basic things.
Most don’t even know they can upload a photo and ask questions about it. Connecting Gmail so an agent can read and send emails blows their minds. An agent opening a browser and checking them into a flight? They’ve never even heard of it.
The massive challenge right now is adoption, and then getting people who already signed up to actually use what they’re paying for. Most have absolutely zero clue what’s possible.
Imagine the compute shortage when everyone starts using AI like the top 1% of users do today.
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One of the most effective roles in AI right now are teachers
And teachers who don’t just go through the motions but actually get their students to retain and blossom
This is my thesis: no one uses AI. I repeat, absolutely no one. We live in a bubble.
Even among my friends who pay for it, when I ask them to open ChatGPT and show me their queries, it’s the same handful of basic things.
Most don’t even know they can upload a photo and ask questions about it. Connecting Gmail so an agent can read and send emails blows their minds. An agent opening a browser and checking them into a flight? They’ve never even heard of it.
The massive challenge right now is adoption, and then getting people who already signed up to actually use what they’re paying for. Most have absolutely zero clue what’s possible.
Imagine the compute shortage when everyone starts using AI like the top 1% of users do today.
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Everything Aaron tweets should just go on our Lazer website
He is articulating Lazer better than me
There's a huge opportunity right now in being the deployment layer for AI into the economy. The amount of work it takes to change out workflows in enterprises tends to be far greater than anyone realizes or would prefer. Clearly this is what the applied layer of AI is going to look like in the form of software and agents, but also it opens up new services firms opportunities.
Legacy systems need to be moved to the cloud, data organization and access needs to be updated, software needs to be connected to agents in new ways, workflows need to be reengineered for agents, HITL needs to be figured out for the process, evals need to be generated and maintained, and the entire system needs to be continually updated as new models get released and new capabilities emerge. And the full list may even be longer.
AI is not the same as just deploying software. Software you generally did the implementation of an existing, well understood category of technology, then stepped back and the customer kept running. With AI agents, you're delivering actual work augmentation to the organization, which has a completely different set of complexities associated with it. You're no longer deploying tools that the company is merely enabled by, you're deploying work output in a process. Completely different implementation and enablement process.
As a result, this is going to open up lots of new kinds of firms and plays for existing firms to diffuse AI into organizations. We're going to see approaches by industry, by size of company, and by problem inside of companies. Traditional SIs will modernize and adapt (some will clearly not adapt as well), and new entrants will also be founded in this period that take advantage of this window. Great time to be an FDE or FDE firm.
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This is what I'm seeing right now from over 50 AI projects at Lazer across commerce, fintech, healthcare, and SaaS enterprises
1. Fast growing AI platforms are still short on forward deployed engineering to convert customers, get them live fast, and feed learnings back to product... As they go self-serve, FDE role shifts closer to a strategist, and partner networks are filling the gap, but execution quality is still an issue
2. Most enterprises' main problem is just getting enabled and getting AI structured inside the org so everyone can cook... Tooling, governance, config, and education come before automating workflows
3. Orgs care about cost, but it's two ends of a spectrum: "just use it, we'll optimize later" or "show us ROI before we do anything"
4. Getting data out of people's heads and into a system AI can access is one of the hardest problems... It's not a one-shot fix, and requires orgs to change how they operate
5. Some orgs would rather build than buy, because they're unsure what changes in 3 months and want to avoid lock-in
6. Governance hubs are a real need now... Employees are using personal Claude/OpenAI accounts with company data, and financial and healthcare orgs won't move without a governed layer
7. Data readiness gates everything... Many companies need 2 to 4 months of foundational work before any application layer
8. PEs are moving fast because AI directly improves the P&L... That's why CX agents land so well... clean ROI, straight-line cost reduction, and off-hours revenue capture
9. AI SDLC and the software factory is our most popular project
10. Demand for private AI and data sovereignty is real, driven by IP, PCI/PHI, and cost at scale... "Who owns the intelligence" is a common question now
11. Data center buildout is an emerging area... Agentic software compresses spin-up, and the faster a data center launches, the more revenue
12. There are still so many non-AI problems to solve inside enterprises, easy to forget
Going to share more learnings over time, been too busy heads down building
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Yo Muse randomly called me Arjun today and then started gaslighting me and stereotyping me
Community note
Poster replied showing this is an advertisement for his business x.com/zainmanji/stat…
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Launching Canada Goose on Shopify is definitely one of the coolest projects we've done at @Lazer_HQ
Go get your Gooses before it gets cold
canadagoose.com just went live on @Shopify. One of the most beautiful stores I've seen.
@canadagoose is one of the brands I've wanted to work with for a long time.
Not just because Dani is a friend. Because it's a brand I deeply admire.
Today Dani and I hugged it out to celebrate.
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Need some intros 👀
JUST IN: 🇨🇦 Canada's six biggest banks launch joint tokenized deposits project to enable 24/7 blockchain-based payments.
• Bank of Montreal
• Royal Bank of Canada
• Toronto-Dominion Bank
• The Bank of Nova Scotia
• National Bank of Canada
• Canadian Imperial Bank of Commerce
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Tobi is built different
Go long $SHOP and go long wine cellars
Our house in Toronto had this fancy glassed wine cellar, but we are not big wine drinkers.
Anyways, it had good climate control so here is my rack cellar.
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This is probably more reason for businesses around the world to implement CX/Voice agents
I'm sure humans don't want to be answering calls from other agents, so just let the agents talk to each other
This will also increase the amount of calls received which is going to frustrate staff
And the only way to get rid of the frustration is to filter the agent inquiries out or to implement agents on your side to deal with them
Bullish on platforms like @getavoca @DecagonAI @SierraPlatform
Your Instinct can now handle phone calls.
Introducing Instinct Concierge – a white glove service meant to handle high-touch cases, such as making phone calls, high-end service booking, and more. You’ll be able to book the restaurant that doesn’t take online reservations, get on your dentist’s cancellation list, or have that cable bill sorted out.
We’re slowly rolling this out to our early access group today and will be expanding access soon.
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Anyone have a Muse invite link/code?
Too many AI personal assistants, too little time to assess all of them. Nice work here: assistantbenchmark.com
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Been using a few AI assistants for a while, and some people have been asking what to use them for, so wanted to make a list of things they're useful for
Most fall in the buckets of alerting, easy/med level task automation, and research
1. Product drop watches - AI pings you the second a sneaker/product/ticket goes live or on sale, with the direct link
2. Restaurant bookings + waitlists + cancellation hunting for booked-out venues
3. Hotel hunting
4. Flight price checks + fare watches for dates you name
5. Email errands from my own address - bookings, changes, forms, follow-ups
6. Handling items as your "assistant" over email
7. Daily reminders for todos
8. Product research before you buy - comparisons, sizing, which version
9. "When does X come out / is X available" answered with real sources
10. Cheaper-alternative hunting when something's overpriced (e.g. NYC hotels)
11. Inventory availability/Price-drop alerts on a specific things
12. Trip planning end to end - city, hotel, food, itinerary
13. Coordinating plans with other people's bots
14. Calendar scheduling and conflict checking
15. Quick explainers - e.g. how to get Wimbledon tickets
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Imagine your assistant needed to borrow your computer or phone every time they needed to do a task
I am increasingly annoyed by agents running locally, launching stuff (browser windows, apps etc) while I'm trying to work, interfering with my own desktop
This stuff needs to live either in a VM, or probably the cloud. I want to kick it off and not distract me!
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There should be an “Instinct-like” shopping assistant available to ever user inside the @shop app
With pre-suggested skills/prompts for us to ask it so we can quickly understand the power of it
Have Instinct? Send it this and get the money you deserve:
the full prompt, updated with all of those:
"sign into my amazon and audit my ENTIRE order history, not just recent orders. check all of this: (1) every return - did the full refund actually come back? flag any order where the refund is less than what i paid or never came at all, (2) gift card and promotional credit balances sitting unused, (3) items that dropped in price right after i bought them and are still inside the return window, (4) late deliveries on prime orders that were never credited, (5) subscribe & save items that billed at the wrong price or kept shipping after i stopped wanting them, (6) duplicate or double charges on my payment methods, (7) trade-in credit i never got for devices, (8) anything i bought with an active product recall that has a refund or replacement offer, (9) items that died early and might still be under warranty. verify every number against the actual order invoice page before u report it - no guesses. give me an itemized list of exactly what im owed and where. then when i say go, recover it: get on chat with amazon and file the claims"
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