Mathew Barnett

@sethbannon Seth - as a company who is building exactly that (protein pertubations at scale). Do you have a sense of how those partnerships are structured and the various economics? thx

Behind the scenes, all the frontier AI labs are inking partnerships with bio startups to get access to their data to improve model performance on bio tasks. Basically every startup that has a legit high throughput platform has been approached about a data licensing deal.

@kosonocky The papers define success rates as positive binding, but in the case of binders, if these have signficant off-target effect, are these really successful?

We hope this resource helps inform you on your future protein design campaigns! Enjoy! Link to the open access paper: sciencedirect.com/science/articl…

Have you wondered what the wet lab success rates are for current AI-driven protein design models? Look no further! In our new open access review, @KevinKaichuang, @avapamini, @SarahAlamdari, and I report wet lab success rates for *over 200* different protein design tasks 🧬💻

@itsolelehmann cowork

i'm running a live claude cowork workshop for non-technical people on april 22 by the end of the 2 hours, you'll have a fully set up marketing system on your computer that: > produces a full week of content in one sitting, dialed into your voice so it sounds like you on your sharpest day > turns any marketing framework or post into a repeatable skill that claude runs on command for you > builds sales pages in minutes so you stop paying designers and copywriters thousands > schedules tasks to run while you sleep so you wake up to finished drafts, fresh ideas, and updated reports every morning > writes launch emails, newsletters, and sequences using the same frameworks behind my 6-figure product launches all click by click, on your machine, while i do it on mine here's everything that you get: • the full 2-hour live workshop where you build everything in real time • 16 personal skills that i built over 100s of hours for my own business • the complete recording so you can rewatch anytime • a self-paced course version of all the material • access to Claude Marketing OS telegram group this system runs 90% of the marketing behind my 7-figure brand doing 15M+ impressions/month and it's all yours come april 22nd comment "Cowork" and i'll DM you the link

@mikefutia DASH

I just built a Claude Cowork skill that turns your Google Ads data into a visual performance dashboard in 60 seconds 🤯 One prompt → campaign breakdowns, CPA trends, spend vs conversions charts, and hourly conversion patterns, all rendered as an interactive HTML dashboard you open in Chrome. All inside Claude Cowork. Perfect for DTC brands and agencies who are pulling Google Ads data into spreadsheets every week, manually building charts, and spending an hour formatting a report that's outdated by the time you send it. If you're managing Google Ads and your weekly reporting workflow looks like this — export a CSV, open Google Sheets, build a pivot table, copy the numbers into a slide deck, manually create charts, format everything, realize you forgot a campaign, start over ... This skill does the whole thing in one prompt: → Connects to your live Google Ads data via MCP → Pulls spend, conversions, CPA, ROAS, CTR across every campaign → Builds an interactive HTML dashboard → Summary cards at the top: total spend, total conversions, avg CPA, avg ROAS → Bar chart comparing spend vs conversions by campaign → CPA trend line over the last 30 days → Campaign table ranked by performance, color-coded green/yellow/red → Opens in Chrome: hover over charts, compare campaigns, screenshot for your team No spreadsheets. No manual chart building. No hour-long formatting sessions. What you get: → A visual dashboard from live data in under 60 seconds → Campaign performance you can actually see, not just read in a table → CPA trends that show you where things are heading, not just where they are → A dashboard you can screenshot and drop into Slack, a client report, or a team standup → Reusable — run it weekly and the data updates automatically One prompt. Live data. A finished dashboard you open in your browser. I put together a playbook with the full skill file, the setup, and the exact prompts to customize the dashboard for your account. Want it for free? > Like this post > Comment "DASH" And I'll send it over (must be following so I can DM)

@sarah_cone @RenPhilanthropy lack of standardization of terms at university tech transfer offices, which lack ability to evaluate projects. happy to discuss as have potential AI solution. Problem is obvious as tech transfer offices are net cost centers - vs. profit makers. Day 1 problem

@HeyBilt Sent you a DM - No reply - No response from customer service. Seriously, I thought you were trying to create a "neighborhood", do you not care about your customers?

@barnettm7 Hey, we'd like more info here so we can help. Could you send us a DM?

@BiltRewards How is your app not set up to allow both HOA & mortgage payments. Customer service is horrible, and has no answers. You had a year to plan for this transition - how are you not prepared? It's almost as if you are trying to prevent people from getting rewards?

@AdamDraper @BoostVC what is your New Bio definition

Founders, @BoostVC is investing heavily in New Bio and Longevity. Please reach out if interested. $500k first check investments.

VCs should short the incumbents their AI agents are about to disintermediate. Capture both sides of the trade.

@sianbeilock @WSJ Do you believe Dartmouth is effectively addressing the affordability issue for middle-class families either by addressing its tuition inflation in excess of national inflation or adjusting its financial aid parameters to reflect the changing economic realities?

Families are asking whether college is still worth the cost. Graduates are entering a job market that’s changing fast. In my op-ed for @WSJ, I outline five ways higher education can rebuild trust from affordability to outcomes, merit, and accountability.

@FynCas nano

Google’s new Nano Banana Pro is actually wild. I fed it one product photo… and it generated agency-level ads in under 3 minutes. No designer. No Photoshop. No $5k/month creative retainers. Then I paired it with my custom GPT workflow — and suddenly my ads looked like top 1% DTC brands… for $0. Honestly, it feels like something Google accidentally shipped. It’s too good. Thinking about dropping the exact prompt + GPT setup before they patch it. Comment “Nano” and I’ll send everything over. (must be following)

@m_goes_distance will do - just cleaning up a few items and will send in next day or 2.

@barnettm7 DM me deck

dear algo please show this tweet only to deeptech/biotech founders building cool shit and could really use a $100K investment. please instruct these founders to tell me what they are building.

@m_goes_distance Ubiquitx - crispr for proteome - programmable and modular proteome editing for research tools and therapeutics

bullish on biotech startups rn if you're building anything to accelerate biology or know someone who is - longevity, gene editing, diagnostics, whatever drop a comment or tag them will move fast.

@dansenor @dansenor Is this his obsession or the well-thought out playbook of his funders who have effectively tied the Israel issue to a range of other ideas to synergize and energize a base?

This is beyond trafficking in a nutty conspiracy theory or discrimination. THIS IS HIS OBSESSION.

@Elad_Si @wolfejosh - do you think it is possible to change the incentive structures to break down the industry of hate?

Last week, In my conversation with Prof. Michael Ben Gad I asked him, why now? He’s been in the university for 18 years, he was a department head and never faced problems. Why now, after the war ended? He said that he feels the anti Zionist movement is trying to find its way after the Gaza ceasefire. “There’s an industry of hating Israel, and now they need to find new venues of operation”. He insisted that he’ll continue to attend every lecture and event because “otherwise, they’ll go on finding a different target, and it might be someone who’s easier for them to destroy”.

Trump is a dead wolf, currently there are a lot of secret backroom deals being made between democrats and republicans, the plan to cast out and eliminate the MAGA movement is underway. Little by little the fascist movement will be torn apart and ultimately defeated / erased.

@shelbynewsad Is the thesis posted on the site already?

(New thesis) AI-ification of R&D proteins There’s been an emergence of new papers on computational antibody, peptide, nanobody, and and enzyme design. While these are all relevant for new therapeutics, there’s massive market opportunity in R&D reagents. (This thesis was started by a conversation with @an1lam.) Research and development in companies and academia stems from our exploitation and synthesis of new proteins (namely, antibodies and enzymes). From staining tumor samples, to copying DNA with polymerases, to cutting DNA for cloning, proteins are workhorses of biotech. Not only this, but proteins are the commodity most likely to spoil because of their propensity to denature at room temperatures and through freeze/thaw cycles. Not only this but the and cost to make and purify means proteins are likely the most expensive reagent in experiments. If you’ve ever worked in a research lab you know that you always need to keep the antibodies and enzymes chilled because they cost hundreds to thousands of dollars and are the first failure point of experiments. Given the proliferation of antibody and enzymes design papers, it’s logical to apply the gains in those methods to R&D proteins. Namely, thermostability, miniaturization of antibodies for cheaper manufacturing, higher fidelity signals or specificity, all of which can be improved with the right assay <> AI loop. Not only this but @plasmidsaurus teaches us that good user experience and better products can lead to massive customer pull and rapid uptake. This matters commercially because these companies garner therapeutics-value acquisitions and market caps. While these have historically taken decades to reach prominence, the decreased cost and speed of development of new proteins could change the incumbent dynamics. - $5.25 billion acquisition of antibody and reagent maker, Biolegend by PerkinElmer - $5.7 billion acquisition of research antibody company Abcam by Danaher Bio-Rad Lab market cap is $7.3 billion - Smaller acquisition of companies such as Novus Biologicals by Bio-techne for - $60 million show a skew of outcomes possible Other thoughts: - Team will have to thread the needle of highest margin and lowest technical difficulty - Team likely won’t have to build their own models initially but the wet lab <> ML feedback loop will be crucial in rapid optimizations - Companies here could expand margins by layering biomanufacturing unlocks to produce and make R&D proteins at lower cost, in less time Check out the thesis below on the @CompoundVC Thesis Database -

@amirtibon @GerAmbTLV I would like to screen the film in New York and while the venue may not be the Toronto Film Festival it is important that a movie of this nature is seen. Could you let me know how?

@GerAmbTLV Thank you Ambassador for these words

For the Toronto Film Festival to not show this film and cite insufficient „legal clearance“ of Hamas footage as a reason is intellectual and moral bankruptcy. Noam Tibon is a hero (and so is his wife). On Oct 7 and in his fight for democracy.