Jonathan Adly

TJM Labs has acquired Encore Rx Automation. Expanding our capabilities for independent and retail pharmacies with faster deployments and broader PMS support. More: tjmlabs.com/blog/tjm-labs-… #PharmacyAutomation #AIinPharmacy

@maxmarchione I have 200+ of the my biggest ones as our customers. Dm are open

We need more compounding pharmacies. Who should I meet?

We have this a week away from production.

Most AI in pharmacy is overhyped. But some of it is very real. We break it down in this @a4pcrx podcast episode. 📷 Podbean: pharmacypodcastnetwork.podbean.com/e/the-compound… 📷 Apple Podcast: podcasts.apple.com/us/podcast/the… 📷 Spotify: open.spotify.com/episode/0neuJO… #Pharmacy #AIinHealthcare #HealthcareOps

@nikillinit Skill issue - we scaled to almost 5m arr with Linkedin outbound as main GTM motion

Been having a bunch of convos with founders about marketing/sales. One common thing that’s come up is that cold outreach for startups (linkedin, email, etc.) seems to effectively be a completely dead channel now unless you have a large existing brand. This includes performance marketing through these channels Honestly seems like the ONLY way to get customers for B2B now -events - warm intros from advisor/venture firms - prosumer where employees are already using a free tier of the tool - Some form of channel partnership with a company that already has distribution (dicey depending on their reputation with customers)

We’re exhibiting at #AtriumX 2026 in Orlando next week! Looking forward to meeting pharmacy owners & innovators at this collaborative, action-focused event. Come by our booth to see how @TJMLabs is advancing solutions in pharmacy tech.

From the NCPA (@Commpharmacy) Multiple Locations Conference 🎥 TJM Labs VP of Sales Ross Miller joins Cole Thomas of @ConnexionRx to explain how TJM Labs helps pharmacies improve workflow and efficiency. #NCPA #HealthTech

TJM Labs is now the official automation partner of Professional Compounding Centers of America (@pccarx). Bringing intelligent workflow optimization to compounding pharmacies nationwide. tjmlabs.com/blog/tjm-labs-… #CompoundingPharmacy #PharmacyAutomation

@simonw Code used to be expensive, now it is cheap. Domain expertise and distribution are still expensive - and you can argue that they are more expensive now.

I certainly don't think you can revisit vibe code a competitor to an existing platform - you still need to prove yourself in the market, earn customer trust and often generate network effects too. Those are still real moats that matter What's unclear to me is how much of an impact "it's expensive to produce the code that increments the features" no longer being true will have - I suspect quite a bit more than François is arguing here

I'm not so sure about this. Not all, but a lot of SaaS moats really do rely on an implementation complexity that's rapidly fading Take SAML for example - a classic example of a feature that is such a nightmare to implement that most SaaS startups delay as long as possible and then hire specialists If that implementation time drops from months to days, it's yet another little piece of moat that just got eroded away

@_simonsmith There is a sweetspot when this will indeed be the case. Like you won’t do it with Figma so you 8 designers can save $299/month. But some shitty SOR that charges $300k to store records? Yea, it is worth it.

I work in a 1,600-person company where we did replace an expensive SaaS product with an internally created piece of software built by a senior engineer using AI. So this is happening. In our case, the software wasn’t just equivalent, but better for our needs. It eliminated features we didn’t need in the original, and added features specific to our use cases that the original didn’t have. We were also able to tightly integrate with our company operating system (think ERP+). Accordingly, I do think the SaaSpocalypse will happen. Jensen’s comments to me are wrong. Would an AI build a hammer if a hammer already existed? Absolutely it would, if the new hammer were more effective and efficient at hammering the specific types of nails the AI was using into the specific types of materials it was using. Most SaaS products aren’t a good fit for companies out of the box but must be configured. But now those companies can just create perfect bespoke software instead of configuring imperfect mass market software. This said, I do still think there will be a need for cloud services to serve all this bespoke software. Things like databases that are a single source of truth will be critical. So parts of the stack aren’t going away. We’ll still need places to safely and securely store and manage data. So it strikes me that a good pivot for software companies is to focus on data and APIs and documentation for AI to build with them. Those are raw materials that AI can use to create bespoke software, like buying wood and iron to build a custom hammer.

THERE IS A WHOLE THREAD OF THOSE Ads ☠️

Anthropic woke up and chose violence with this ad 💀

We have an X company account now: @TJM_Labs 🙌

@thaAdamLittle Salesforce vs. Veeva in life sciences is a massive battle

Couple of GTM head to head battles I want to keep my eyes on in 2026: 1. Snowflake vs Databricks 2. Rippling vs Deel 3. Samsara vs Motive 4. Salesforce vs themselves 5. AWS vs GCP 6. Wiz vs Crowdstrike 7. Rubrik vs Cohesity 8. Figma vs Adobe 9. Monday dot com vs Asana Who did I miss?

Great interview

One of my competition is basically this - I love it, and happy for them to live the good life

This is true - I am constantly shocked by how low-trust SF companies are. Everyone is so jaded; and for good reason.

Ben Horowitz on the brilliant advice you often get from investors

The most broken system in America... Health insurance

my hottest take is that conda is objectively better than uv 1. conda is short for anaconda, which is a type of snake. guess what, so is a python 2. used primarily by academia and they are famously smart people, so they must know something we dont 3. "conda activate" makes you feel like you're commanding a tank. "uv run" sounds like you're doing laundry 4. it takes 45 minutes to resolve dependencies which gives you time to smash another white monster and watch youtube at work