Why You Should Join @why2join
One category-defining company to join, each month. whyyoushouldjoin.substack.com Stanford, CA Joined October 2022-
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Usman Hanif @usygoosy
795 Followers 447 Following @stanford | cofounder @ portals (acq’d @beaconsai) | @why2join
Maanav Khaitan @MaanavKhaitan
3K Followers 2K Following learnooor @ucberkeley // prev @calderaxyz @warpdotdev // maanavkhaitan.eth
Shreyas ☀️💭�.. @sparab22
1K Followers 5K Following Strong believer in small movements making big changes in public+private+academic worlds.
Isabelle Zhou @isabelle_zhou
2K Followers 1K Following learning & writing about AI, ML, consumer trends @harvardHBS ⚡️ | prev investor @floodgatefund, founding team @joinnooks, cs @stanford 🤖
kaili.eth @kaili_jenner
3K Followers 500 Following Engineering and research @Circle, ex Stanford CS + blockchain research, co-creator https://t.co/jHzpIMcYwT
Ann Miura-Ko @annimaniac
41K Followers 1K Following VC 🥷🏼 in pre-seed and seed. Yale, Stanford (PhD - Cybersecurity and Math Modeling), Mayfield Fellows, Foodie, Mom to 3 rascals and 🐶
Tyler Whittle | BIP-4.. @Dr_DAO_
5K Followers 1K Following Sorcerer @TaprootWizards 🧙♂️🪄 | Spellmaster @TechnicallyBTC 🎓 | PhD in Entrepreneurship and Organizations @Stanford
Arvind Rajaraman @Arvind_ML
909 Followers 428 Following curr researcher 🦾 @berkeley_ai w/ @ancadianadragan, soon research/eng @databricks, led @berkeleyml, prev ML @nvidia @nuro, @accel scholar
Atem Aguer @leithnyang
309 Followers 537 Following feeling the agi and aligning myself to agi preferences @stanford
sasha (she/her) 🇮�.. @sashaasidik
202 Followers 778 Following high (calculated) risk, high reward 📣 | early-stage vc scout @goaheadvc @lvlupvc | #learninpublic 🎙️
Andreas Hadjioannou @a_hadji1
124 Followers 885 Following
Anish A. @machinenetworkx
392 Followers 3K Following FAANG👨🏻💻 | Net New Empirical Knowledge🦸♂️techno heart 👾
Yashwanth @Yashwan07712890
40 Followers 911 Following
prafulk @prafulk
193 Followers 3K Following
Fitz @FitzDoud
217 Followers 326 Following Interested in Counterfactuals, enjoy learning about physics, philosophy, and business
gurgeh @gurgeeh
40 Followers 482 Following
Piyush @piyushahuja_in
561 Followers 5K Following philosophy, politics and economics @UniofOxford maths and computing @iitdelhi
Antoni Rosinol @RosinolToni
2K Followers 733 Following Co-Founder @StackAI_HQ (YC W23) | PhD @MIT | LLMs & Computer Vision | https://t.co/5irrHUYiJm
William Bates @_wbates
66 Followers 339 Following
jgabriel.eth 🇻🇪.. @jg_bernardes
455 Followers 423 Following investing crypto @ https://t.co/moquN9Tm2q views are my own DM´s always open
☀️ ℝ𝕒𝕧�.. @rravi
1K Followers 385 Following All for AI + AI for All/Biotech Curiosity leads to Science. Science leads the way. Do science. Innovate. Solve problems. #Health #Climate #Education #Food #Bio
David Brewer @DavidB41879
2 Followers 10 Following
Wyatt Khosrowshahi @wkhosrowshahi1
734 Followers 1K Following Investor @ Castle Island Ventures. All opinions are my own.
Raheta @Raheta224624
0 Followers 7 Following
Lukas Ruppert @lukas_rppt
522 Followers 1K Following Web3 Baker @PretzelDAO (🥨, 🥨) | @areta_io | Prev Crypto Research @Cambridge_Uni
Bootstrappings @Bootstrappings_
90 Followers 522 Following Bootstrapped companies and other things #entrepreneurship
Daily Doze of Deal @DailyDoze0fDeal
31 Followers 112 Following Daily newsletter focusing on everything startup and its actions! Do Subscribe!
Steven Lurie @stevenlurie
677 Followers 91 Following Started venture fund to help founders build world-class teams. Ex-Zynga, Ingenio, Microsoft. Lived in India & S. Africa. Swimming, theater & community service
Ibrahim @redacted_io
1K Followers 3K Following absolute unit cooking something. @getDropverse @Microsoft @Apple
Mike Chase @mikechase_
832 Followers 1K Following Biocomputing. prev @nasa @genome_gov @usc - My new book⬇️
Akim @akimgue
596 Followers 1K Following working on low-carbon commodities at @teaminset | research at @openclimate_
Vedant Suri @vedantsuri
253 Followers 873 Following Investor @GeneralCatalyst. Prev @CapitalG, @BCG. Ever curious. Proud Canadian 🇨🇦
Chris @chrisxrossbrder
41 Followers 15 Following
Amal @amalsony_
2K Followers 2K Following Building @UniversalNotes_ & https://t.co/e1tTbCTX8W | 19 massive techno-optimist prev: co-founder @TeegleApp
Suzanne @kc5su
36 Followers 495 Following
Samir @SamirTaghiyev
165 Followers 962 Following Small Caps PM @Mawer_Invest. Just trying to learn something new every day. Opinions are my own only and are not investment advice. Do your homework.
Michael LaSala @magicmike5817
0 Followers 96 Following
Levente Ludanyi @LeventeLudanyi
84 Followers 195 Following Co-Founder @PointSwitch42, building in W24 @EWOR_official, Fellow @sigma2society, CS @Polytechnique, Marathon runner, wannabe IronMan
Zorro @Zorro444444444
50 Followers 137 Following
Ben Whitlock @bencwhit
95 Followers 723 Following Web Developer. Arsenal Fan. Working @heyvoyagermark
Great feature on Pavillion, one of @neo's best companies.
@withpavilion’s leading a revolution in how the government buys everything. They’re building a generational company in the process. Here’s Why You Should Join Pavilion: a thread 🧵 (a must read)
For example: instead Command+F-ing “GPUs,” you could just ask Hebbia “why are GPUs better than CPUs for machine learning?” It’ll find the right answer - even if it doesn’t include any of your keywords! This is game-changing for two reasons:
Instead of relying on Command+F, knowledge workers (investors, lawyers, etc.) can ask Hebbia questions in natural language. Hebbia will then use AI to automatically pull, summarize, and cite the sentences and paragraphs best answering that question.
The problem? Besides Command+F, we don’t have great ways of searching through it all. Information is only as useful as it is accessible - what’s the point of storing it if we can’t access/make sense of it at scale? 🤔 Hebbia solves this ✅
Over the next 5 years, the world’s total data is set to compound by 21.2% annually. By 2026, we’ll have over 221 billion terabytes of data. 🤯 Over 90% of that’s going to be unstructured - stored in PDFs, emails, Word documents, images, and Slack messages.
Hebbia’s leading a revolution in AI-powered search. They’re building a generational company in the process. Here’s Why You Should Join Hebbia: a thread 🧵 (a must read)
Thanks to Eric and Usman from Stanford CS for surprising me with a New Years present of a 5000 word thesis about why engineers should join Hadrian! whyyoushouldjoin.substack.com/p/hadrian
@2112Power Also, for folks interested in a TLDR on the piece, check out our thread on Hadrian posted on our profile: @why2join
For deeper analysis (and memes) click the link 👇🏼 whyyoushouldjoin.substack.com/p/hadrian Trust us, you’re not gonna want to miss this one ;)
Hadrian’s mission is funded by some of the best investors in the world including @a16z, @Lux_Capital, @foundersfund, @villageglobal, @constructcap, @floodgatefund, @IndicatorFund, Caffeinated Capital, and @lachygroom
We’ve seen this story before. 📖 We saw Foxconn ($45 B) do this with consumer electronics. We saw TSMC ($400 B) do this with semiconductors. Now it’s Hadrian’s turn to do it with precision parts.
2. Capturing future demand Flow, Hadrian’s proprietary ERP system, automatically trains and guides new workers through tasks. This reduces ramp-time and overhead for new employees. As a result, Hadrian can scale to meet new demand much faster than the rest.
1. Consolidating existing demand In the same way Github Copilot helps you code faster by skipping boilerplate, Hadrian uses automation to help operators skip parts of CNC set-up, CAM programming, and customer syncs. As a result, Hadrian is much faster and cheaper than the rest.
They’re going to succeed. Why? 🤔 Hadrian is in the best position to: 1. Consolidate existing demand 2. Capture future demand
Hadrian’s operating market is HUGE. In 2021, 3,925 precision manufacturing shops collectively sold $19,063,011,000 worth product. Hadrian is looking to replace these shops. In doing so, they stand to make a lot of 💰
2) Faster Turnaround Hadrian can produce parts 10x faster than smaller, traditional precision machining shops. This allows customers to build faster.
1) Cheaper Parts Hadrian can produce parts 40% more efficiently than smaller, traditional precision machining shops. This allows customers to build more.
Hadrian is building precision component factories that leverage software to automate process scheduling, resource management, and CAM programming. This allows precision factories to operate like assembly lines instead of watchmakers. 🧙♂️ -> 🤖 This is game changing because:
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